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Paper Citation Record · LEDGER

MONAI: An open-source framework for deep learning in healthcare

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 100 inbound Pith citation observations for arXiv:2211.02701.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2211.02701 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T22:54:28.586736Z

measured 136 of 136 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 100 of 116 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:47:13.063733Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact22
  • verified fuzzy7
  • unresolved4
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

435
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation caf83ac2-b99c-4b5c-8d87-db1c0c8e4286 · outbound

This paper cites Artificial Intelligence in Medicine117, 102083 (2021).

MONAI: An open-source framework for deep learning in healthcare Artificial Intelligence in Medicine117, 102083 (2021)

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.640671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 90d08f88-730f-4efd-9ff9-7ac629158497 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.610681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 67a07eca-ab40-4015-92ed-0f7ce65ca0e5 · outbound

This paper cites & Nachev, P.

MONAI: An open-source framework for deep learning in healthcare & Nachev, P

Reference 3

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.613215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:6fe2b3c8fcd39d43e78972bda7e89f8ec1d1c65b2f1219fdd4d1469cd2827813

Observation 1bdbbddc-6e25-4cff-afba-c987fadfe2c5 · outbound

This paper cites inconvenient truth.

MONAI: An open-source framework for deep learning in healthcare inconvenient truth

Reference 4

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.616115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:1672deabdc770d8b77487b31f490e23dbbee1f7b574bd74b67e861e0342b967b

Observation ac23b589-8a0f-48f5-94f8-df438e294b40 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-13T22:54:28.720662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5bc97945-c6b9-4bec-8f76-611920a440f5 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

MONAI: An open-source framework for deep learning in healthcare PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:54:28.660000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8fcbbce6-f9f1-4da4-8480-e58c0e22fbd6 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

MONAI: An open-source framework for deep learning in healthcare MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.664278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6df179e1-5b79-480f-aadb-6126b037f4f1 · outbound

This paper cites Huang, Y.

MONAI: An open-source framework for deep learning in healthcare Huang, Y

Reference 8

Resolution
malformed identifier
doi_truncated, observed 2026-05-13T22:54:28.618911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:3374e2dc7ca6947a33329b5258c37b0138351f8375e227cb309664da1e1e1cc7

Observation 0d39c1bf-908e-4bd1-a0bb-98b0f437ab07 · outbound

This paper cites DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.

MONAI: An open-source framework for deep learning in healthcare DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:20:58.873069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3727d59c-43ce-4915-b1d6-9f569953f391 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.621392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7956954e-3cb3-4cf1-84f4-41b8da59a5a9 · outbound

This paper cites The state of machine learning frameworks in 2019.

MONAI: An open-source framework for deep learning in healthcare The state of machine learning frameworks in 2019

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:2f9a8bab049a21100d901ea8b2ed85bf0220f1c45d8654e552641d27bc990f1a

Observation d1aafd87-f289-47c8-ad21-5dd3aceff88e · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-13T22:54:28.696781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 88e0d47a-24a0-4ba6-997f-f2e8f41ebfa1 · outbound

This paper cites & Marion, C.

MONAI: An open-source framework for deep learning in healthcare & Marion, C

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.624967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:180d4ce199c3347ba1930f10f93d64a4a5fe0f35cd8bd7c2e7292ef60a2654d4

Observation 03b95eab-e403-402f-9be5-9109536238b3 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 14

Resolution
malformed identifier
raw_fallback, observed 2026-05-13T22:54:28.699250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:b66365c0fb14b5e5c48fba8d49743007b2a81e1ff453d791393d341894293439

Observation ec857a9b-694a-409d-babb-c0b99893cac7 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.627752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:87ed42681862cd14e1fa4a1002a9209d05a1aaacd8e00bb60b02b233a151b752

Observation 6ce2cda6-9427-423a-9396-6c675f4c9e57 · outbound

This paper cites author Li, W.

MONAI: An open-source framework for deep learning in healthcare author Li, W

Reference 16

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.630356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:3355ed60f6955fffb5c923fb4d158cb1309f6a68d8c7ce28520cb7a75ff05f25

Observation 64a12d7c-98da-4a18-b393-741fd847b8cc · outbound

This paper cites & Ourselin, S.

MONAI: An open-source framework for deep learning in healthcare & Ourselin, S

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.634205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:7ccf7618577676f71c918d67d740e4fa7c0fd598f63d54f96bef9e152998e96f

Observation e644c632-24d0-4654-8ab7-026215f3ed96 · outbound

This paper cites Kornia: an Open Source Differentiable Computer Vision Library for PyTorch.

MONAI: An open-source framework for deep learning in healthcare Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.650281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:0f40632c96245f687584d54783aa1153cd667b1755185b09cca5de90a7bb72b4

Observation 5e3d9abe-d197-499c-b786-f7ba569adeaf · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 19

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.637259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 301e5db6-6839-4baa-98f8-77dc3776004b · outbound

This paper cites & Weninger, L.

MONAI: An open-source framework for deep learning in healthcare & Weninger, L

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.709297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:9e8aae4b2f4e71ed52a8a61fae13aa973f50eb695683431478c02ca027937b23

Observation 066f2aee-d9ab-4073-aa46-5a2ee251f209 · outbound

This paper cites & Choudhury, R.

MONAI: An open-source framework for deep learning in healthcare & Choudhury, R

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:486a45e576a40e44d9d45f5c9079e3f8f71f74e7d30f939ee861e233341e98cc

Observation 9f6020dc-c107-4fed-a91d-c44f85d46117 · outbound

This paper cites H., Li, W., Vercauteren, T., Ourselin, S.

MONAI: An open-source framework for deep learning in healthcare H., Li, W., Vercauteren, T., Ourselin, S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.714233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 85a18513-3f28-4d0f-890f-a279a4842d19 · outbound

This paper cites Metrics reloaded: Recommendations for image analysis validation.

MONAI: An open-source framework for deep learning in healthcare Metrics reloaded: Recommendations for image analysis validation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.653440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:4e22965e79272e6a2ca3ee34f77ca7d5cff13de2c91aa58fd6a1d79750af1ee3

Observation fcf6b67d-c32c-4693-99da-d615b65ab2de · outbound

This paper cites Common Limitations of Image Processing Metrics: A Picture Story.

MONAI: An open-source framework for deep learning in healthcare Common Limitations of Image Processing Metrics: A Picture Story

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.668281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 57b9b7da-a97d-4364-88f7-a4e0cee73319 · outbound

This paper cites & Brox, T.

MONAI: An open-source framework for deep learning in healthcare & Brox, T

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.716398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:ecd0a8bb0cef03af10d642f29c7f3037753ef868442f67658e948d81a50072a1

Observation ea412ac8-c897-4ed9-9401-e058169bd43b · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

MONAI: An open-source framework for deep learning in healthcare Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.644287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b8f5114b-7025-4d0e-a5cb-65c829266f78 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

MONAI: An open-source framework for deep learning in healthcare Gaussian Error Linear Units (GELUs)

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:54:28.647110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ac66909f-629b-4272-8d69-0415e41a72f7 · outbound

This paper cites & Hochreiter, S.

MONAI: An open-source framework for deep learning in healthcare & Hochreiter, S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.718466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 738124f6-ffb4-4999-81f6-af9bda3ba498 · outbound

This paper cites & Burges, C.

MONAI: An open-source framework for deep learning in healthcare & Burges, C

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.691646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:72e77a56844b55337cebc639671fac1d2fea0e40bb0a91a4eb6224c7cd37c9bd

Observation 9e56da9d-7ff5-4ac1-8e5f-826c67a475ba · outbound

This paper cites The medical segmentation decathlon.

MONAI: An open-source framework for deep learning in healthcare The medical segmentation decathlon

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.680695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:58299260ade9725ea9f5d5b4381e99ebbd5d8419e2d9878d2d6827caf139b5ff

Observation e2f5275f-fa2f-4de4-ac62-9cf13d96b1d1 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

MONAI: An open-source framework for deep learning in healthcare TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.689295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:7121efc89122a8a8dc8e4bbf91c5f69416987871f0a027fa4a60e7b42a6bf102

Observation 07498fa0-e540-49fe-8a5b-8684f50fb5bb · outbound

This paper cites & Aylward, S.

MONAI: An open-source framework for deep learning in healthcare & Aylward, S

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T22:54:28.701596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:3f00959ed44df5fa8974665bdc1b1e92b504e8fb4d436a10490376841804faa6

Observation 0e1456da-25ed-487f-ba03-248e4086c8f3 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-13T22:54:28.704114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8fe4ea1a-a50a-4b94-840d-3fee94244369 · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-13T22:54:28.706715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:e5f98c40249c4c4c9c25fcfaa67aa22734833b111975f27b8a9ea93367be2729

Observation d8c35a82-2744-481c-8895-28ab316a0021 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

MONAI: An open-source framework for deep learning in healthcare SmoothGrad: removing noise by adding noise

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.685544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:c5cfe3cc4844d3bda3aad919f74120c6b911f0319b6ef9226b204d8ebd68d6a4

Observation 7838d356-e33d-4ffe-be54-96f9ff31a91c · outbound

This paper cites an unresolved cited work.

MONAI: An open-source framework for deep learning in healthcare Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-05-13T22:54:28.607266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:23a71e975d240d39037637aa028b65f10894678b2d333a52bc2d1e6116fe41f1

Pith citing papers

Observation 33f5f204-6865-4a8a-ab08-12a3e895098e · inbound

Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET cites this paper.

Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET MONAI: An open-source framework for deep learning in healthcare

Reference 11

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local_arxiv, observed 2026-05-24T00:13:38.746037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-24T00:12:26.618333Z digest=sha256:628de7aa51c320ba6976a954029f43becbc6a5a22e9c88ec9089caf86fd715ca

Observation 37c803b8-e6c6-4706-a5b0-09f215049d73 · inbound

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms cites this paper.

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms MONAI: An open-source framework for deep learning in healthcare

Reference 35

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local_arxiv, observed 2026-05-23T17:43:17.654728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T17:41:48.822973Z digest=sha256:b798927636cfb01c4dbee9be5ba28bcd9b87c15e74a6ee9a5990e327a387e9ab

Observation 41321095-86f0-4ac9-94d0-6e796833c3af · inbound

MitraClip Device Automated Localization in 3D Transesophageal Echocardiography via Deep Learning cites this paper.

MitraClip Device Automated Localization in 3D Transesophageal Echocardiography via Deep Learning MONAI: An open-source framework for deep learning in healthcare

Reference 26

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:47:13.063733Z digest=sha256:9c69744914fd95c8e252d798330ef0e2ca5a5b5a6d13e3bb9417a72ad64890fa

Observation 23fa62bd-c652-4963-a625-ff3061dbf15d · inbound

GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation cites this paper.

GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation MONAI: An open-source framework for deep learning in healthcare

Reference 69

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source=pdf_text observed=2026-08-11T11:43:01.263736Z digest=sha256:287d70b4ae9d9e60cb5153ebf0bb6b02969502d588f4aa64b1eac8095d1e1ac5

Observation 7cdbbd2e-f43f-4875-870b-7f049eda4be2 · inbound

Comparative Analysis of 2D and 3D ResNet Architectures for IDH and MGMT Mutation Detection in Glioma Patients cites this paper.

Comparative Analysis of 2D and 3D ResNet Architectures for IDH and MGMT Mutation Detection in Glioma Patients MONAI: An open-source framework for deep learning in healthcare

Reference 18

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source=pdf_text observed=2026-08-10T23:05:54.292348Z digest=sha256:befbef960024addc4d4fafc967ad4a57c09ca881ba2db11c3934f7731a71abce

Observation c6374820-e31b-45d5-8e4a-770e4f53eb25 · inbound

The R-Vessel-X Project cites this paper.

The R-Vessel-X Project MONAI: An open-source framework for deep learning in healthcare

Reference 6

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no resolver link, observed 2026-08-10T19:27:06.755571Z

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source=arxiv_source observed=2026-08-10T19:27:06.755571Z digest=sha256:d50ea0773d63667d632a322b6889e5bb1485d3661d75b14cc35dbcb5ce051602

Observation 6ade573e-dd92-4be5-a2ad-ff196e60717c · inbound

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images cites this paper.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images MONAI: An open-source framework for deep learning in healthcare

Reference 32

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source=arxiv_source observed=2026-08-10T19:26:21.241236Z digest=sha256:43b51127a91d5948bb7593a9c06e26155312542635a39de3ccf8207de89b8044

Observation b233532e-ddd0-43f9-9fee-a37a57d42976 · inbound

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices cites this paper.

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices MONAI: An open-source framework for deep learning in healthcare

Reference 20

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source=pdf_text observed=2026-08-10T16:31:02.084720Z digest=sha256:25f831e38aec8fa65cf8e6e33fb4d4f49aa07cbf6f52f3fe9a260217d80e5006

Observation 09d1c736-0d76-45f1-9213-62b0447e675b · inbound

Improving Quality Control Of MRI Images Using Synthetic Motion Data cites this paper.

Improving Quality Control Of MRI Images Using Synthetic Motion Data MONAI: An open-source framework for deep learning in healthcare

Reference 24

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source=pdf_text observed=2026-08-09T20:01:43.289262Z digest=sha256:70d2a40e6a8f2220803e4163b6ab417b69c02845c4ff5de98db27f91044c006b

Observation a5aa000d-ccc0-49cb-a09b-b929d85b3e14 · inbound

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially cites this paper.

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially MONAI: An open-source framework for deep learning in healthcare

Reference 9

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source=pdf_text observed=2026-08-09T17:01:12.075518Z digest=sha256:afdc972f59221293e7a41c6c1363159ae5b2aff9355f6eac1d5cedcb7c46dfc6

Observation fa183934-c598-44fa-9984-0bd41cecefc2 · inbound

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge cites this paper.

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge MONAI: An open-source framework for deep learning in healthcare

Reference 4

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source=arxiv_source observed=2026-08-08T19:47:52.516591Z digest=sha256:75c2270f6672eb3e0955c5fc24f0c11b3c26c31f02426375d36c33d0f3f2e34b

Observation 98d64b59-9ff3-48a2-b9a4-53c1f9ca9f30 · inbound

Generalizable automated ischaemic stroke lesion segmentation with vision transformers cites this paper.

Generalizable automated ischaemic stroke lesion segmentation with vision transformers MONAI: An open-source framework for deep learning in healthcare

Reference 28

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source=pdf_text observed=2026-08-08T14:22:18.727644Z digest=sha256:6ab6b78f78e7245c146e4553732e203bb41605482ffeb1be1ad6b0e1e144cfbe

Observation 3b36d066-8b47-4210-ba9e-8a27d4e6717e · inbound

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion cites this paper.

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion MONAI: An open-source framework for deep learning in healthcare

Reference 6

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source=arxiv_source observed=2026-08-08T04:45:53.083903Z digest=sha256:df69a7797a70663b7450144c284d36659f2a1da50c3adbdf36709f99706ea7cb

Observation 1a0c7cc7-8f18-4cbc-be1d-86f0a0de1a66 · inbound

Tables Guide Vision: Learning to See the Heart through Tabular Data cites this paper.

Tables Guide Vision: Learning to See the Heart through Tabular Data MONAI: An open-source framework for deep learning in healthcare

Reference 5

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verified exact
local_arxiv, observed 2026-05-22T23:12:14.632474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T23:08:34.301889Z digest=sha256:e33e4f9d77f0729a044196cacc7c6818c7c8f3dc4c03076dcb654f4ed71c3efc

Observation 2ce3f8a2-ba15-4d9e-bf4d-145cf5064e2c · inbound

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data cites this paper.

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data MONAI: An open-source framework for deep learning in healthcare

Reference 31

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local_arxiv, observed 2026-05-22T17:01:48.486870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T17:01:25.555447Z digest=sha256:a819d4fc0b5732eacc0c3d6d2ae6871b37e9dc0f7458532f1e5c97735fb4f415

Observation a82d52e2-2f84-456b-908d-43a932a722ae · inbound

TAGS: 3D Tumor-Adaptive Guidance for SAM cites this paper.

TAGS: 3D Tumor-Adaptive Guidance for SAM MONAI: An open-source framework for deep learning in healthcare

Reference 5

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source=pdf_text observed=2026-08-07T15:28:33.551571Z digest=sha256:cd68178e3fd1b293d7822aba447a637054f092537365a8a0ba87291aa5619f12

Observation 27047215-987a-49e2-92aa-960d45bab870 · inbound

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning cites this paper.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning MONAI: An open-source framework for deep learning in healthcare

Reference 12

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source=pdf_text observed=2026-08-07T11:31:48.597916Z digest=sha256:b2597d82ace08d579a1ff834df66d16b1977f14478c9b7b5397fc0bcef91bde1

Observation 0d221962-5d15-42a9-8f91-5bce743f3a7d · inbound

Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation cites this paper.

Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation MONAI: An open-source framework for deep learning in healthcare

Reference 1

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source=pdf_text observed=2026-08-07T00:24:05.702469Z digest=sha256:681453d7bf4eaa0ed656e239d831da4c196aa90a8647d931856e040fc98f754d

Observation 9eeebbf5-0961-4ca9-a2e4-b61e2c7f5bf3 · inbound

Improving Prostate Gland Segmentation Using Transformer based Architectures cites this paper.

Improving Prostate Gland Segmentation Using Transformer based Architectures MONAI: An open-source framework for deep learning in healthcare

Reference 30

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verified exact
local_arxiv, observed 2026-05-19T09:17:14.368868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T09:14:19.400299Z digest=sha256:820976ac8f9e4e23e7281f7d3b2585e65cf1f2903a4609c3cd5d3fdf1fb6cacd

Observation bf056dcf-5d56-4551-b166-0cbcbe0b8941 · inbound

Shadow defense against gradient inversion attack in federated learning cites this paper.

Shadow defense against gradient inversion attack in federated learning MONAI: An open-source framework for deep learning in healthcare

Reference 5

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no resolver link, observed 2026-08-07T12:21:26.969396Z

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source=arxiv_source observed=2026-08-07T12:21:26.969396Z digest=sha256:df3ff4cf3b897cb89b951baa4c32f6c9d153b9c2e4c46d998f513bea35b40131

Observation 19a64877-32f6-483d-9433-5419e45cfc3f · inbound

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI cites this paper.

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI MONAI: An open-source framework for deep learning in healthcare

Reference 11

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source=pdf_text observed=2026-08-06T23:12:46.226023Z digest=sha256:41d01005b3030fd38088a94dea0bbbc3fc9ef25f63a3969a669565c86fc8dea8

Observation 397bf295-02cd-45f6-9bd8-be6647d0fe49 · inbound

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy cites this paper.

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy MONAI: An open-source framework for deep learning in healthcare

Reference 64

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source=pdf_text observed=2026-08-06T22:38:49.434269Z digest=sha256:779b593f96ae9c1e37b7c5a04012968a3cb4f05725de863fdaf120f80ab7dfd5

Observation 9847c11d-bec8-4bfb-8b3b-28c5ded47aa8 · inbound

ShapeKit cites this paper.

ShapeKit MONAI: An open-source framework for deep learning in healthcare

Reference 4

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source=pdf_text observed=2026-08-06T21:30:04.013186Z digest=sha256:ea10b7140d683aa56d313044a2675ae2b017c00d7167c02eeaf5b2d653c4991f

Observation fca01a4c-8cc9-416d-8247-3a90aa8005eb · inbound

PanTS: The Pancreatic Tumor Segmentation Dataset cites this paper.

PanTS: The Pancreatic Tumor Segmentation Dataset MONAI: An open-source framework for deep learning in healthcare

Reference 12

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source=pdf_text observed=2026-08-06T21:02:28.865004Z digest=sha256:0b9ddee35946fd773fd3ea7fac5ef40d12528fb84f92790c14fffbfdc6c2ed99

Observation f28400ac-8c28-4fcd-9e63-b5b11fef92fa · inbound

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders cites this paper.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders MONAI: An open-source framework for deep learning in healthcare

Reference 4

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source=pdf_text observed=2026-08-06T17:13:05.845873Z digest=sha256:9031bc69190e889d7221143762dedd904d70ba5e2ed402ce4bdeef602f79f68a

Observation e79a4625-971d-4c23-a07f-bc8b01ad733d · inbound

Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation cites this paper.

Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation MONAI: An open-source framework for deep learning in healthcare

Reference 5

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source=pdf_text observed=2026-08-06T15:59:02.448200Z digest=sha256:a45d88889369b8f8a5fbaf0715d1d07456752b13bf8825d87e34c5401938dde0

Observation a72434c7-a651-4a71-9d93-b089314da171 · inbound

A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT cites this paper.

A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT MONAI: An open-source framework for deep learning in healthcare

Reference 30

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source=pdf_text observed=2026-08-06T15:42:16.046867Z digest=sha256:0e8e6cf17e916437f182a6dafc6dc5b61b636bd486f210097ed3895e826bb6ca

Observation 4c10f268-e6d2-4db1-a9c8-961ccc133434 · inbound

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks cites this paper.

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks MONAI: An open-source framework for deep learning in healthcare

Reference 5

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source=pdf_text observed=2026-08-06T14:44:59.210826Z digest=sha256:b42f9fdb9bda2714a5010998a5a2afafa720e2bb2bd1c8eaf676c6a77771b0b3

Observation fbe10b95-6f3c-46f5-b7c9-c3b594bee9de · inbound

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation cites this paper.

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation MONAI: An open-source framework for deep learning in healthcare

Reference 4

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source=pdf_text observed=2026-08-07T13:20:39.401197Z digest=sha256:a862002f6cbb088d079f10fa90b836eaebdf92126bcc1c6fe99c7a9ead9a65c6

Observation 3647ee1f-229e-4cb5-a646-6ac60c4ff08b · inbound

Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm cites this paper.

Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm MONAI: An open-source framework for deep learning in healthcare

Reference 53

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source=pdf_text observed=2026-08-06T12:12:12.508989Z digest=sha256:0624e12d52a0fab5a96bf8f5aae8b73382ad2a3c1438e3b3c94bf52a14893cfe

Observation 3130e629-2e4c-4ac2-9cd5-8e4fed339f32 · inbound

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment cites this paper.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment MONAI: An open-source framework for deep learning in healthcare

Reference 67

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source=pdf_text observed=2026-08-06T11:53:48.051647Z digest=sha256:fac975e44d2ade8d2ce420475301bd56ccc523fd5b5d3be103a849e86d94bb07

Observation 1d07a027-bf92-4c0d-b581-aa19bedd3139 · inbound

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation cites this paper.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 5

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source=pdf_text observed=2026-08-06T11:07:52.531251Z digest=sha256:131aaca32544ec0a9be0a0ef13ebe0ab5143f8eb1345b5def4085f2937a55b0b

Observation ae3e8a38-9d91-4fb2-8f75-a48d03b24c52 · inbound

Consensus-Driven Active Model Selection cites this paper.

Consensus-Driven Active Model Selection MONAI: An open-source framework for deep learning in healthcare

Reference 8

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source=pdf_text observed=2026-08-06T10:29:48.516609Z digest=sha256:5a0bb37135abda10936e60afa9d34fbd23a117aee6ce981923fc2d2cc39e8571

Observation 81d62bcf-a06f-427c-bb6c-7116c5a8a978 · inbound

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model cites this paper.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model MONAI: An open-source framework for deep learning in healthcare

Reference 3

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source=pdf_text observed=2026-08-06T05:30:08.428002Z digest=sha256:755731cb48bfbfc1d7983cfe620490d6240f9b0bab99a2199a48b30dd419441f

Observation 82a50832-cf6f-46a6-b1a5-51cee7922069 · inbound

Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation cites this paper.

Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 6

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source=pdf_text observed=2026-08-06T05:28:38.869228Z digest=sha256:508997485947e259916a5d6bd3c11d79a88aab6436114c1648680401c6929081

Observation 89ed0077-951e-40a3-81cf-d2bd67f745ed · inbound

Decoding the Alzheimer's Continuum: Interpretable Multi-Gate Routing for Diagnosis and Transition Prediction cites this paper.

Decoding the Alzheimer's Continuum: Interpretable Multi-Gate Routing for Diagnosis and Transition Prediction MONAI: An open-source framework for deep learning in healthcare

Reference 31

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source=pdf_text observed=2026-08-06T05:28:04.522419Z digest=sha256:47a352d07387b6a8713cab0a6be8c3eaa13f3a29d87be80c3a21b05c3d8f3d2e

Observation b0390583-328f-49a0-8710-27772e0aa62d · inbound

GRASPing Anatomy to Improve Pathology Segmentation cites this paper.

GRASPing Anatomy to Improve Pathology Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 1

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no resolver link, observed 2026-08-06T04:32:50.393175Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:32:50.393175Z digest=sha256:b619e0679d4b8eb7b64847db25484f75c21283500a8d8cbcd1581682149a35e4

Observation 7378d614-93b1-4924-b832-fdf027dfa796 · inbound

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification cites this paper.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification MONAI: An open-source framework for deep learning in healthcare

Reference 2

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source=pdf_text observed=2026-08-05T15:02:48.385533Z digest=sha256:73c2ee974f0a11d22434927ded003bb5463c58aafe621304082bb4b76999e785

Observation 1a20cd4d-3d3c-4829-86e3-1f71ece97709 · inbound

CardioMorphNet: Cardiac Motion Prediction Using a Shape-Guided Bayesian Recurrent Deep Network cites this paper.

CardioMorphNet: Cardiac Motion Prediction Using a Shape-Guided Bayesian Recurrent Deep Network MONAI: An open-source framework for deep learning in healthcare

Reference 56

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source=pdf_text observed=2026-08-05T14:57:38.329533Z digest=sha256:5eec4f913a2b8e0c3e0fee7979899a898dea3e55cb1523b0d9d0f7b82ce64344

Observation b4fed41c-735f-4cd1-b6a5-7539c8df92e6 · inbound

A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging cites this paper.

A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging MONAI: An open-source framework for deep learning in healthcare

Reference 27

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no resolver link, observed 2026-08-05T13:34:26.297149Z

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source=pdf_text observed=2026-08-05T13:34:26.297149Z digest=sha256:44185a0874c446893e686fadf22365680206ea5fc18503fb4356ffd30356293a

Observation 4fcda5fb-57d0-4157-a7d9-70c82d03e955 · inbound

SynBT: High-quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion Model cites this paper.

SynBT: High-quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion Model MONAI: An open-source framework for deep learning in healthcare

Reference 2

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no resolver link, observed 2026-08-05T11:04:42.177945Z

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source=pdf_text observed=2026-08-05T11:04:42.177945Z digest=sha256:11fc5bb1ff533d84275d5af3c1d4b19d97ce06c39631ceba9b63578c8f6e363f

Observation 339f5167-89f0-4855-885e-bba43c713097 · inbound

Vector-based loss functions for turbulent flow field inpainting cites this paper.

Vector-based loss functions for turbulent flow field inpainting MONAI: An open-source framework for deep learning in healthcare

Reference 21

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source=pdf_text observed=2026-08-05T05:01:12.061279Z digest=sha256:58d981eb14a5f7edb00c7d13aa3ae472b71722e4038e394ce38e1f691e71af8f

Observation 59741c81-a07b-44a5-b47a-28f8c8c931e6 · inbound

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models cites this paper.

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models MONAI: An open-source framework for deep learning in healthcare

Reference 101

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no resolver link, observed 2026-08-04T19:48:44.728596Z

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source=pdf_text observed=2026-08-04T19:48:44.728596Z digest=sha256:fafe37775ba81024480bdd5a1825fa769184c19ba86534388de4ee8eb73109dd

Observation e90f6d56-f1ed-4ae0-939b-82b53ed89771 · inbound

Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification cites this paper.

Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification MONAI: An open-source framework for deep learning in healthcare

Reference 4

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no resolver link, observed 2026-08-04T18:56:54.418154Z

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source=pdf_text observed=2026-08-04T18:56:54.418154Z digest=sha256:f6446cfbbc76b47cc32a2390a49770b78614879a3b292baed1e2286df982760a

Observation 44d78ca6-7cbe-49b9-8791-fdda28ed2c81 · inbound

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets cites this paper.

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets MONAI: An open-source framework for deep learning in healthcare

Reference 3

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no resolver link, observed 2026-08-04T17:49:06.827767Z

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source=pdf_text observed=2026-08-04T17:49:06.827767Z digest=sha256:97207aec28ec7b8258f5b28dd6b580078e1a4c4567d72b631e6ca3d655293d37

Observation 7e9fd7e9-c618-4551-96b5-75e539f43977 · inbound

Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses cites this paper.

Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses MONAI: An open-source framework for deep learning in healthcare

Reference 6

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no resolver link, observed 2026-08-04T17:48:29.499946Z

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source=pdf_text observed=2026-08-04T17:48:29.499946Z digest=sha256:8cf89b77fa3a38af955e8a6911ee348c0a2dbc3b2fe8f49aef07fc07d1a4818e

Observation cfbfaca3-2a25-4778-9492-7ec32378919e · inbound

Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography cites this paper.

Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography MONAI: An open-source framework for deep learning in healthcare

Reference 23

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verified exact
local_arxiv, observed 2026-05-18T01:02:15.270756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T01:01:52.837006Z digest=sha256:a5e3e328262cbc179c40f72d600e939bb848b587e06207884c3d0cf0f2cd03ad

Observation e073b6cd-90e5-4cf6-bbef-c09bdd7ea06e · inbound

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation cites this paper.

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 4

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no resolver link, observed 2026-08-03T20:32:54.541391Z

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source=pdf_text observed=2026-08-03T20:32:54.541391Z digest=sha256:a218508a5199945a4585f116e765d2095163d673ec2db59a0bf1cf6a64392fa4

Observation 554f8350-66f5-43f6-b7fa-61f6da971997 · inbound

In search of truth: Evaluating concordance of AI-based anatomy segmentation models cites this paper.

In search of truth: Evaluating concordance of AI-based anatomy segmentation models MONAI: An open-source framework for deep learning in healthcare

Reference 41

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local_arxiv, observed 2026-05-16T21:08:32.984505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T21:04:17.071422Z digest=sha256:dea258ff61dd2994172a1b0b5b6d06469eccb2891b72129a470154ef7f3284fb

Observation 74a2d223-4540-49cf-a237-700c8db21784 · inbound

Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI cites this paper.

Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI MONAI: An open-source framework for deep learning in healthcare

Reference 31

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no resolver link, observed 2026-08-03T07:24:05.910271Z

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source=pdf_text observed=2026-08-03T07:24:05.910271Z digest=sha256:912f5c768e543b41bee000d86581139f2e33d29f862c783acc851b3290af8dca

Observation 88d0c5be-fcd8-4135-a599-c40f4bddcaa5 · inbound

Language Models as Higher-Order Planning Formalizers cites this paper.

Language Models as Higher-Order Planning Formalizers MONAI: An open-source framework for deep learning in healthcare

Reference 33

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no resolver link, observed 2026-07-13T19:19:56.267003Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:19:56.267003Z digest=sha256:04f7b5620245e5ca41b0faffb9fab5b60e6fa2bc2a55224c50916e1d71c2ee5a

Observation 4cae436a-792c-4fd9-acfd-2cec224ef96c · inbound

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows cites this paper.

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows MONAI: An open-source framework for deep learning in healthcare

Reference 46

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local_arxiv, observed 2026-05-15T00:08:21.645532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T00:07:22.106337Z digest=sha256:5752e371df5c79def647a153f4cca6c56c230d4b69bfa577f402c0bc1c97d599

Observation a553c265-9740-4d8b-a7e3-2c0e2b43595b · inbound

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It MONAI: An open-source framework for deep learning in healthcare

Reference 6

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:03:28.160731Z digest=sha256:0e66773acb7bf2c2588a965df39df3704bccd9f9aa90fc4d32c1f1c3046c01fb

Observation 26e0e87e-5a0b-4b71-a7b3-00531d1b88bd · inbound

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction cites this paper.

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction MONAI: An open-source framework for deep learning in healthcare

Reference 12

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:42:13.955407Z digest=sha256:b8322d89a07c1320099785fc07a90f40d78678986885ae5ef583206632e3ee13

Observation 42d084c9-41b7-422a-9f7c-293ff8ec262a · inbound

GPAFormer: Graph-guided Patch Aggregation Transformer for Efficient 3D Medical Image Segmentation cites this paper.

GPAFormer: Graph-guided Patch Aggregation Transformer for Efficient 3D Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 41

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:13:16.654562Z digest=sha256:5e0534cd21086566660b1fb03de6e19269dbd5a948e7b037af430345bd76b847

Observation f44bd1bf-0602-4c44-825c-5390d9e38781 · inbound

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling cites this paper.

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling MONAI: An open-source framework for deep learning in healthcare

Reference 5

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:01:48.803557Z digest=sha256:ecf6a14c86a9a67b87db7dc820fdf3cb778e8f09a2ea5d050b6101a10f7a2d43

Observation 3c3b4e79-8df3-4add-97cc-c9b7410d28e8 · inbound

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer cites this paper.

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer MONAI: An open-source framework for deep learning in healthcare

Reference 5

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verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T17:18:05.760441Z digest=sha256:2242018fdbc58703127835567988a21af43f7245cfdf423efd0872793c9ecd86

Observation 995e2ae3-f86a-456e-96be-fe8c671616b0 · inbound

Camyla: Scaling Autonomous Research in Medical Image Segmentation cites this paper.

Camyla: Scaling Autonomous Research in Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 56

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:00:25.150960Z digest=sha256:cf6ff726c809b3b18ed1cadec978ce80e895340f82e11df7f826d163e4160e48

Observation 20f783a8-4b47-4429-b85e-6b0393daf2da · inbound

Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis cites this paper.

Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis MONAI: An open-source framework for deep learning in healthcare

Reference 5

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T15:58:01.629510Z digest=sha256:834ff805039f64cb3c19c5ca21bd71913185d974effe5f400462f2bae0345e2a

Observation 5f14c270-9dee-47c5-837d-4482a946cdd8 · inbound

Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis cites this paper.

Backbone-Conditional Behavior of Modality Gating in Multi-Modal Prostate MRI Segmentation: A 5-Fold Cross-Validation and Gate Mechanism Analysis MONAI: An open-source framework for deep learning in healthcare

Reference 23

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no resolver link, observed 2026-07-12T22:24:36.261493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:24:36.261493Z digest=sha256:dda7b65bcff3d0b98c074578de6d0e1529ce10473f4344761269ef04cf5db574

Observation dbdd59af-047e-4500-b9b7-3a739167c1bd · inbound

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration cites this paper.

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration MONAI: An open-source framework for deep learning in healthcare

Reference 1

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no resolver link, observed 2026-07-12T22:09:43.598567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:09:43.598567Z digest=sha256:104a9e793ce366f049878daf9bb4008beade71108249cc278ecbb257fe29b38d

Observation bbe151cd-f5e0-4cc4-9434-81ab2bba5ee9 · inbound

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation cites this paper.

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation MONAI: An open-source framework for deep learning in healthcare

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:21:40.532540Z digest=sha256:f104ab3ce53245b18e4934dfbe422eeffacc1f168b945cbe345df8fcc5d42089

Observation 0ec33773-6034-49af-8fd7-dd108bef27ff · inbound

Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis cites this paper.

Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis MONAI: An open-source framework for deep learning in healthcare

Reference 4

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verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:40:40.272294Z digest=sha256:547f5c1320dd3809f241ffffe5066cbc914f4caf3c6187bbddec48594d9dc45e

Observation bdb5af3d-b691-4f2a-9dca-3f654947740e · inbound

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images cites this paper.

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images MONAI: An open-source framework for deep learning in healthcare

Reference 1

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verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T12:16:24.113057Z digest=sha256:43df53c6be92798d047d18be5d7796777e63465e0062d01174165475d994f84c

Observation 00a9e985-6a1f-4975-b62b-3ac468a770e3 · inbound

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation cites this paper.

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T11:07:54.155064Z digest=sha256:2f4a5da60119c811fe34764edcc17ad265400e3f31dbc89ad270a0a91fde1f06

Observation 275a1dcc-7d15-48a4-b99c-46bfd393fd0e · inbound

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation cites this paper.

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 3

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unresolved
no resolver link, observed 2026-07-14T19:38:41.836256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:38:41.836256Z digest=sha256:dda2b3ddae9887fa799387142fe06a51b7feeb03b8b7ce0fec5ac96d2915676a

Observation 1f4aab29-361d-4744-b51a-dbe036c79992 · inbound

Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model cites this paper.

Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model MONAI: An open-source framework for deep learning in healthcare

Reference 10

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T12:27:43.119912Z digest=sha256:ce6a0c700fdbd88bc387c1a21d720a8b23f8a217aba2e2cac1a5cc426dc2150d

Observation dcde2cd2-b3fb-4a07-94d2-6a22f5c0f42f · inbound

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation cites this paper.

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 28

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T04:22:26.340374Z digest=sha256:1539a9d55426b343c51e948438fc7fc1899423085c4b6c918cb1fb9cb231fb5f

Observation a228f3cd-fff6-4768-8cb1-1e25518dbf53 · inbound

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models cites this paper.

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models MONAI: An open-source framework for deep learning in healthcare

Reference 7

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:09:29.672351Z digest=sha256:3674167c67dc7c79c8ad179f863cb285189b1bfff5bca3c9ea38e4333f868c3a

Observation df9ffbe7-7789-457d-9995-d5f698b452bb · inbound

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training cites this paper.

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training MONAI: An open-source framework for deep learning in healthcare

Reference 96

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T18:36:52.514914Z digest=sha256:4ebd1d44f235ff788be0705269c0c554de2587a5e5027e7f775ce8c4b4043e33

Observation 25a6cd9b-5379-4a38-b40c-ae4778f17667 · inbound

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation cites this paper.

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 2

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arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T18:40:31.464005Z digest=sha256:2b8b6acd8427c6dc07c69b0e4f20b30e5b2f12ab18b950449f902b4024545368

Observation 03056362-0f6d-4a44-b12f-7dfd305647c3 · inbound

Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation cites this paper.

Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T13:02:41.464847Z digest=sha256:beacc77862e35a6dabe4d103249979bb6d38efe867e8f761d037e60b5c981cca

Observation 60fc5be3-76d7-471d-88a4-46d64582967f · inbound

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images cites this paper.

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images MONAI: An open-source framework for deep learning in healthcare

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T15:21:08.406357Z digest=sha256:a74b017e1155888e5be902324e93fa648629456f85ea6064e597b1b4c33bf6c1

Observation d0e02709-15b6-4eef-a4b2-585b2f1966f6 · inbound

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images cites this paper.

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images MONAI: An open-source framework for deep learning in healthcare

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:25:46.390261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T23:09:44.041160Z digest=sha256:2f3044fc3ed38e2d59e55487d3fe0632439a99ba7ef4d6e06d122e022696ebcd

Observation d4f4c11a-c9f3-4767-b50b-18b6523adfcf · inbound

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization cites this paper.

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization MONAI: An open-source framework for deep learning in healthcare

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T14:48:17.219453Z digest=sha256:c3fdd22e194768e68e44f07b51aca9c94da451a904cccb4ad4cabba81b77cd31

Observation 019268d1-f18d-4069-894b-aa255972d2a2 · inbound

NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research cites this paper.

NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research MONAI: An open-source framework for deep learning in healthcare

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T09:40:28.520988Z digest=sha256:6d193f90ce2a7522067318c120ad806dfcc1be185a765736a2da74e7044518c3

Observation c37cb41b-7d7d-4d63-8c0f-70f95c12e36a · inbound

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention cites this paper.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention MONAI: An open-source framework for deep learning in healthcare

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:29:29.830450Z digest=sha256:be6c82bcc85939010acbe507c34fb25b1ce80222b455de4f6988185801f146c7

Observation c6e65558-ef8a-4852-9d94-efaec3424666 · inbound

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks cites this paper.

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks MONAI: An open-source framework for deep learning in healthcare

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:19:27.175077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T20:18:21.582689Z digest=sha256:a2180b1c5be2d1e37d95a4cfd802c9c2d9c8b1ed41dff14bd579875c6e1ebcbc

Observation c52ed221-b623-4f5d-b907-3d1d226e8332 · inbound

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment cites this paper.

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment MONAI: An open-source framework for deep learning in healthcare

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T19:43:43.808352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T19:41:21.658482Z digest=sha256:b67d099e9a8e7ed1ea30833bc98ac44ab9fe933298e71b300206a2c88a542ca4

Observation 499c0c83-7b4f-473c-b3b5-8b3c5cdbc1d0 · inbound

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment cites this paper.

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment MONAI: An open-source framework for deep learning in healthcare

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T05:09:58.534684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:09:58.534684Z digest=sha256:3f2f237c7db17fdb211a29e383f56b54e376b67ed2a395533d2bdd36d0f0bf5c

Observation f9df946b-633f-452e-8fef-85415401350a · inbound

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation cites this paper.

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T13:13:18.442926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T13:10:42.631408Z digest=sha256:6558e8a332af6bbdb21548911a6c74ed3241f62c77450c9f6f536dee52b2bb39

Observation 5ee459df-2a62-4cd1-89b2-13c7b5b538bb · inbound

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation cites this paper.

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T14:55:48.054759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T19:15:46.593842Z digest=sha256:bfe3921325d75a0d41d67829b331533416b2147e1188a5246679f8268ed7e5b4

Observation e62d3970-d9de-4c34-96ab-6663a1b8905b · inbound

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining cites this paper.

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining MONAI: An open-source framework for deep learning in healthcare

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-22T07:51:15.610189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T07:50:44.946594Z digest=sha256:e6b29e51db6af8435edae7355cd0345cc46a66791fb27014d21cb91fa507d276

Observation 033edfe1-9024-4519-9e06-09474e3f084c · inbound

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining cites this paper.

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining MONAI: An open-source framework for deep learning in healthcare

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:20:24.487441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-25T06:16:48.755086Z digest=sha256:964a5de1fc60f6a6ed6b79b10743e5c194b5f0c3d3c105af2cbcd86e336c576b

Observation d47a3759-bdea-43ea-8ee6-f524af5150f0 · inbound

Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning cites this paper.

Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning MONAI: An open-source framework for deep learning in healthcare

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:23:27.865424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T13:22:03.486935Z digest=sha256:38c6543fde8583198516f671b1ce171cb235afb683cbf52ee450300c12e5adf6

Observation d1f53e18-07b8-46b5-922d-aee13d8ae9d0 · inbound

Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion Models cites this paper.

Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion Models MONAI: An open-source framework for deep learning in healthcare

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T07:53:14.317091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T07:34:08.021098Z digest=sha256:d4ed97fa811ff330464b799627a56edc6b1fb98d14751ede7408a014d34d178d

Observation bb1bd9ae-bcd8-4146-a751-de1ee8e87403 · inbound

Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation cites this paper.

Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation MONAI: An open-source framework for deep learning in healthcare

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T22:52:45.366851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T22:49:33.279489Z digest=sha256:9cc12375406bc9bb7c207544643a23998b62038b88747294636c08ec4d9cfc5c

Observation 3c167926-dfdb-4dfc-aa28-0ecc92241323 · inbound

Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography cites this paper.

Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography MONAI: An open-source framework for deep learning in healthcare

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:16:01.166289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T22:47:37.006989Z digest=sha256:26bf30baf3d35606c12749ae4686d2907711604434aadb86cc8c5b2449707bb0

Observation 10c4898d-1a27-46f7-8a0d-d0c73cd383c4 · inbound

Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Motivated Multi-Corruption Augmentation cites this paper.

Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Motivated Multi-Corruption Augmentation MONAI: An open-source framework for deep learning in healthcare

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:12:34.975635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T19:05:43.089253Z digest=sha256:0dfa6cce088351343bb9d9b6747b574c5538218129ed8c05b6645c937079df0c

Observation 8b6904b4-6579-41b4-a9a8-3ef8ee602b2c · inbound

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging cites this paper.

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging MONAI: An open-source framework for deep learning in healthcare

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-01T21:56:16.083681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T15:57:22.450141Z digest=sha256:af20151dbce93d4227f8ded7825801d0225dda248ecda09ac5ad4c2fb879c23d

Observation 6833e2c2-e998-46d9-94c4-3bde207a648e · inbound

GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations cites this paper.

GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations MONAI: An open-source framework for deep learning in healthcare

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:26:26.416682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T10:57:50.971504Z digest=sha256:17feb2504d9eccaf40a9e91fe56c2d0ccad3db5b1bc785d30cd17c0d5272facd

Observation 27a14540-fe9e-4c38-9c59-a5318767d7c9 · inbound

Bayesian Tensor Decomposition with Diffusion Model Prior cites this paper.

Bayesian Tensor Decomposition with Diffusion Model Prior MONAI: An open-source framework for deep learning in healthcare

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T02:06:26.044168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T11:21:36.594629Z digest=sha256:5ae49478f40c20b1333a91e741ab675a9ad8cc83bca727576afcf8b74ee94bf6

Observation 19e9291e-428a-44b9-91b0-9ecb610aaa3c · inbound

vesselFM-CT: Segmenting All Blood Vessels in CT Images for System-Level Cardiovascular Analysis cites this paper.

vesselFM-CT: Segmenting All Blood Vessels in CT Images for System-Level Cardiovascular Analysis MONAI: An open-source framework for deep learning in healthcare

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:17:29.439057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T17:18:58.300303Z digest=sha256:817f22cc514bb2dbeaad710c18a0caa1479f0bb18f9f9aa160658c2946e58461

Observation 289cd86b-53a3-4011-88a2-3776cfa8cdb6 · inbound

Acquisition state behaves as a structured, measurable variable governing lung-nodule AI: kernel-driven measurement instability and noise-driven detection fragility, invisible to DICOM metadata cites this paper.

Acquisition state behaves as a structured, measurable variable governing lung-nodule AI: kernel-driven measurement instability and noise-driven detection fragility, invisible to DICOM metadata MONAI: An open-source framework for deep learning in healthcare

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:18:37.648553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T05:56:22.202376Z digest=sha256:51889a11464d32d1fb847c60b4b18f947ecf2eb19904431b28bc565e4995372b

Observation f930c37f-74a1-4c49-9c1a-e8ec78221162 · inbound

Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation cites this paper.

Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:09:15.377840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T21:24:56.512578Z digest=sha256:ca260720cd4b82f21e5d94a352eddbcddb239b8e423bf69b9aa5725a19956e2b

Observation 7220c816-fcac-4513-b278-48f1293b0c23 · inbound

SurgVista: Long-Horizon Surgical World Modeling with Plausible Instrument-Tissue Dynamics cites this paper.

SurgVista: Long-Horizon Surgical World Modeling with Plausible Instrument-Tissue Dynamics MONAI: An open-source framework for deep learning in healthcare

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T03:19:31.468453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T18:09:48.872541Z digest=sha256:880f6dd703145a88bd450762be5b4fc0737d31a5fc5713deaa90b596cd2df117

Observation 919f1da9-0760-4b50-9469-bfcb72757138 · inbound

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control cites this paper.

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control MONAI: An open-source framework for deep learning in healthcare

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:19:30.178044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T18:16:16.077823Z digest=sha256:2e0991dbbcfb8797d09d7e87126e4f3eb60eba375d09cb3da10cf36d81165099

Observation 84c0dfe9-a018-498e-9f1a-305a3e5c3ce7 · inbound

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control cites this paper.

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control MONAI: An open-source framework for deep learning in healthcare

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T10:51:21.601028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:51:21.601028Z digest=sha256:86943548ed11007df88c05a2a6f548e9fd7716ed1d428df276dc22ff25fdae75

Observation 5ce37456-bf5e-491c-b85e-aac4174dacc3 · inbound

Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation cites this paper.

Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T05:49:36.825014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T15:32:21.738912Z digest=sha256:a7d3232d473065b5881e78b90a17bf7792f8c67381e7a05e15f892537b71a657

Observation 686e01db-9bb7-46b5-8483-a64e3f74bec7 · inbound

Unsupervised Susceptibility Distortion Correction of EPI without Calibration Scans via Image Translation-Based Registration cites this paper.

Unsupervised Susceptibility Distortion Correction of EPI without Calibration Scans via Image Translation-Based Registration MONAI: An open-source framework for deep learning in healthcare

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:49:39.824353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T12:35:01.884239Z digest=sha256:0f71ee69d8f0c9bc0b0e97663e84d1de9310553d965f2819ad4de3d2081e19ca