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Paper Citation Record · LEDGER

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities

As of 23 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2412.04106.

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

pith.paper-citation-record.v1
2412.04106 v3

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:28:07.907805Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:55.771797Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:33:56.356782Z

Reference resolution

73 of 73 outbound references displayed

  • verified exact0
  • verified fuzzy61
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7f88bb4-a823-4cfd-99b0-ac85076dd2d5 · outbound

This paper cites GPT-4 Technical Report.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-11T22:28:07.544997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.544997Z digest=sha256:d8995d38b76f11c38f2794cd6439bcc907580f47e88831b14fc1e5b9f27270e5

Observation 8cae16a9-4466-4d32-bc0d-679f97cee49e · outbound

This paper cites Totalsegmentator mri: Robust sequence- independent segmentation of multiple anatomic structures in mri.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Totalsegmentator mri: Robust sequence- independent segmentation of multiple anatomic structures in mri

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2dbf759e-ba55-41cc-9af3-d872a3a0f206 · outbound

This paper cites The medical segmentation decathlon.Nature Communications, 13(1):4128, 2022.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities The medical segmentation decathlon.Nature Communications, 13(1):4128, 2022

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e3ea40d3-c547-4fa1-8a56-9a1d08d61249 · outbound

This paper cites A vision–language foundation model for the generation of realistic chest x-ray images.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities A vision–language foundation model for the generation of realistic chest x-ray images

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.227988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 665d8503-87c7-4a86-b10c-b6c7947e145f · outbound

This paper cites an unresolved cited work.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-11T22:28:09.211464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bd3c1653-1555-439e-b972-0363ead9fb27 · outbound

This paper cites Uni- verseg: Universal medical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Uni- verseg: Universal medical image segmentation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.194443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 46e91efb-19bf-41f0-934c-4c61030cba99 · outbound

This paper cites Towards generaliz- able tumor synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Towards generaliz- able tumor synthesis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.176629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.582341Z digest=sha256:7b9c0d5962adb892431a1c2115f30db49cc817578bd87ab3e9c28ebdcfacba30

Observation c3d94aec-f117-4df4-8174-0cf1b6a3406d · outbound

This paper cites Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.157383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.588324Z digest=sha256:e3759fcebf0ccc7e5393c61ecf6fd1f80c3a1dba773dcc9759303a197fff76aa

Observation a24e4d1f-3f28-4d50-b6b0-88c37885e913 · outbound

This paper cites Conditional diffusion models for semantic 3d brain mri synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Conditional diffusion models for semantic 3d brain mri synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.139599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.593052Z digest=sha256:513a9c6d6e0d4881cc2c1ac392322ab5e465b89fe4f53ee3c321c11af93d53d1

Observation 89fe8ad7-5924-48b4-87b5-54b91f26c7a2 · outbound

This paper cites Segvol: Universal and interactive volumetric medical image segmen- tation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Segvol: Universal and interactive volumetric medical image segmen- tation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.118555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.598537Z digest=sha256:12414b77098267cb87ae6d288d2e8317cfad17c8f543cd8a7c96755d32c69d26

Observation 28a15948-ac6a-4cc6-993d-633057e556b1 · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Structure and content-guided video synthesis with diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.100149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.603421Z digest=sha256:940e0bedda6b1523197b14af1c42e24ee168ce37f5ae9eab253624b30af5e036

Observation f9b96730-72b1-444c-a4fc-9421287aff33 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.082863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.609743Z digest=sha256:9212a40c1aa99f630e8f78e3f102ec0950d5defc28cd487374f90bc0f9849021

Observation c8a1e8e7-dea8-4ad8-9bb5-ec2ded60b12b · outbound

This paper cites Generative adversarial networks.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Generative adversarial networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.614933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.614933Z digest=sha256:b052e553e3fbda54ebf629a5dbe86eb103225e039e64891de3c1c1195e853c5b

Observation c8fa7990-b935-45fb-9459-20b3e2053360 · outbound

This paper cites Maisi: Medical ai for synthetic imaging.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Maisi: Medical ai for synthetic imaging

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.055358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.620122Z digest=sha256:b6a9328d648ae670862cdb48e5ac2b8fb7924714e7acc1e20176cf898618c266

Observation 34e6f8f8-abb5-4fbb-9a2f-d193d9c2348f · outbound

This paper cites Generatect: Text- conditional generation of 3d chest ct volumes.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Generatect: Text- conditional generation of 3d chest ct volumes

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:09.038386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.624692Z digest=sha256:4db9e352194255d8c3c797b10542e0f9a678a1cd8ee362e6d9ac9236c2032c58

Observation 99d928db-2861-4dae-b8be-0f4062031d49 · outbound

This paper cites MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.629539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.629539Z digest=sha256:4cdb4511f8200caf10a1c214f5dcd863a7b98bbe8ea0b971532796d83ec68861

Observation 10d5b46e-5326-4d06-911a-2d50547a511f · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T22:28:09.011788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.634618Z digest=sha256:eaaacb5d1423d107b6ab4100cfbe727a443c3e06d5c54b1850dd3a1b2ffac535

Observation 208cf00b-f27b-4b66-ac3b-9970c38efaff · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 18

Resolution
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no resolver link, observed 2026-08-11T22:28:07.639526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.639526Z digest=sha256:b79ee17f621956e39145323b792a8d7b9ac85b6812067bb772b49f4086b8fae1

Observation 30b494bb-7b26-4941-ba79-881870ff39ff · outbound

This paper cites Classifier-free diffusion guidance.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Classifier-free diffusion guidance

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.644689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.644689Z digest=sha256:da53bc1bc34757d3b248456ec5a70e041dd802f4b8f7660bdc921f2346c25832

Observation a459be70-cb51-4c7b-9fb6-2f485fc85d44 · outbound

This paper cites Denoising dif- fusion probabilistic models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Denoising dif- fusion probabilistic models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.968226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.649331Z digest=sha256:d019bd7186a2bdf4a17b5304a89a0529a64d236e0d5c1da57ea3d6172a5eea51

Observation 4afc5762-67b6-4461-a665-74c4c3d3df6c · outbound

This paper cites Video diffu- sion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Video diffu- sion models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.952634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.653839Z digest=sha256:6caa8de8f8244005bb5b29f16e6c45913f21a4a155200a37d315cd9cd877f818

Observation e55d7107-ac5b-4a39-93ee-6d434f82087c · outbound

This paper cites Devil is in channels: Contrastive single domain generalization for medical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Devil is in channels: Contrastive single domain generalization for medical image segmentation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.937631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.658579Z digest=sha256:8c080d1df197439435542a52f78eab81c7f37382c62e4c63a17cb97f3c98814e

Observation e49b1c82-aa1e-411a-bb5d-ab194829f2bd · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.922409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.663406Z digest=sha256:5bbac937a7d6fd4e0e3cfb8130271879a214de00120b606608fe1ea85902457b

Observation ecbf88f3-48a6-48cb-846f-ebb11fe09a0b · outbound

This paper cites Image-to-image translation with conditional adver- 9 sarial networks.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Image-to-image translation with conditional adver- 9 sarial networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.906743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.668789Z digest=sha256:85e68dba0118019b66b68ed1665bd7ff15e0540f5703d348a0453d0343e71c3a

Observation 2c65f46f-e2d4-4c07-a034-723649f4559c · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.891235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.673405Z digest=sha256:42b8de42b639482e2315716347b168165a2898be600e5cbfdee687dc24376ab1

Observation b3dcdcdc-3420-45fd-9578-6055e8861253 · outbound

This paper cites Scaling up gans for text-to-image synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Scaling up gans for text-to-image synthesis

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.877581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.678216Z digest=sha256:017678224291e7eb2b7fffa0f54c891daa5227321405439fe8075f543772bda2

Observation d4570485-1834-4adc-bd50-6d2f0ce5e162 · outbound

This paper cites Chaos challenge-combined (ct-mr) healthy abdominal organ seg- mentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Chaos challenge-combined (ct-mr) healthy abdominal organ seg- mentation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.862231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.682817Z digest=sha256:52233187cf6fa59e34d33dc8e26e744ff73a1d9c52be38bab18ac3276862858d

Observation a3ae2aaf-47bd-4203-82bc-38130b7ef897 · outbound

This paper cites Unpaired image-to-image translation via neu- ral schr ¨odinger bridge.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Unpaired image-to-image translation via neu- ral schr ¨odinger bridge

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.847548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.687950Z digest=sha256:77b49619589b3003b5ad79396844a3f866310d79730459f94d04c8c96f63f1a3

Observation b2af12ad-69b5-49f5-b319-eee6f221f213 · outbound

This paper cites Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.832228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.692574Z digest=sha256:9c4f0a110d2cd8084152c3125ad8f06b75d9ff5299f751023760e0e3c6ff1351

Observation d3d6c85f-a4c2-44bb-af7e-05bda64584b6 · outbound

This paper cites Auto-encoding varia- tional bayes.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Auto-encoding varia- tional bayes

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.816506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.697274Z digest=sha256:16ce148daf59e30f4b7495fd1980273b37cd400b7168ffd83c38f054ef62764f

Observation d153ac70-5a53-4811-8ca0-1f2b94e99fee · outbound

This paper cites Segment any- thing.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Segment any- thing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.800641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.701736Z digest=sha256:80fe307864d03bdca7ea3c2e39dd4ae5211b9343d66bf0ba274bcf25faaf6197

Observation d4ffd567-3eb0-4340-9a5c-ecce66658fac · outbound

This paper cites Generating synthetic data for medical imaging.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Generating synthetic data for medical imaging

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.786236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.706541Z digest=sha256:ebab1265ceb17042a3bb7a2c65473c847980f9f27fbdf68295072172a837c728

Observation 4ea0fc6c-a249-4bc9-951e-91b172c80f09 · outbound

This paper cites Anatomically-controllable medical image gen- eration with segmentation-guided diffusion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Anatomically-controllable medical image gen- eration with segmentation-guided diffusion models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.772238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.710670Z digest=sha256:aa446d1d0ee4fb3b4f55bd8b8b23ca8235f1f7b9b8b9b2ed9fed79881e934e4e

Observation 29858a8c-b0a6-4b6f-8cd7-7ca248a04676 · outbound

This paper cites Generative models improve fairness of medical classifiers under distribution shifts.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Generative models improve fairness of medical classifiers under distribution shifts

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.757486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.714829Z digest=sha256:3f08fed86e125c0342904210de8cc1c7f3018f68b8b6d39b5610350160482c27

Observation 346db6bd-7c80-4ab9-a051-bf9b3493faee · outbound

This paper cites Evaluation of prostate segmentation algorithms for mri: the promise12 challenge.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Evaluation of prostate segmentation algorithms for mri: the promise12 challenge

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.742498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.718963Z digest=sha256:7cece5713aa8dc4cb78e16e81738c1a68acbce3273ce1236a98015b8acdff275

Observation 5a30f556-8207-43ab-a2fd-d6d79bfb2145 · outbound

This paper cites Intelligent grimm - open-ended visual storytelling via latent diffusion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Intelligent grimm - open-ended visual storytelling via latent diffusion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.727415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.723433Z digest=sha256:5bd011ca43667b2375d372c1bfa19b2185bb9df0fe925fbf591cdfb9049cd60d

Observation 3a0669e5-fd3f-4892-b5ae-dedb76c19081 · outbound

This paper cites Merit: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Merit: Multi-view evidential learning for reliable and interpretable liver fibrosis staging

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.711907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.727580Z digest=sha256:3ee4c2c9289f6bc7cb215c825b5b667bc61f3cb5b19776580fa07b72b1511638

Observation a25d7987-b746-4422-9b7b-9d97b40e9f5c · outbound

This paper cites Radimagegan–a multi- modal dataset-scale generative ai for medical imaging.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Radimagegan–a multi- modal dataset-scale generative ai for medical imaging

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.696108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.731805Z digest=sha256:c06ca12f279c18810cde42fa1ea33e4a87de0c7b6b7a261b780e1cd33be3ac29

Observation b6fcc6f0-49c4-4ab8-a09c-0193413aa6e2 · outbound

This paper cites Decoupled weight decay regularization.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Decoupled weight decay regularization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.681333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.736606Z digest=sha256:af5de7a63f7f103eb9b1318b92b9592d4fbd7f3a8dc68f2f196ea905611c6ae6

Observation c970ee7a-05f2-435c-a110-cca3302c2be7 · outbound

This paper cites Segment anything in medical images.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Segment anything in medical images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.550710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.740775Z digest=sha256:129206276802b81be9484f1cfb0f2b1424d5d2b4f9e9d9751dd91c331fcff132

Observation fa066017-b5f1-4967-bc13-317bfaaf7c6c · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.744958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.744958Z digest=sha256:84fc11664233b6bac2268083d89b37fcfb4f0fcd812c06163fea8d01300d59d4

Observation d9dbe3a0-65a7-4979-9080-d35912bbc8cf · outbound

This paper cites Why rankings of biomedical image analysis competitions should be interpreted with care.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Why rankings of biomedical image analysis competitions should be interpreted with care

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.536320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.749681Z digest=sha256:4144ed25906cc2968541292f4ae55fcd3aa38e740c5b12b47f2ca7366be43d0d

Observation 3fed83aa-66ae-477f-bffc-dab62b4238b9 · outbound

This paper cites Multi-modal modality-masked diffusion network for brain mri synthesis with random modality missing.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Multi-modal modality-masked diffusion network for brain mri synthesis with random modality missing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.521729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.754587Z digest=sha256:f59f0da1994c328a38008e8020f4b21f4b5b7ff6b8e1e924d29cede5942de86d

Observation cf32adbd-510e-499f-b48f-4c050fbd9981 · outbound

This paper cites Multi-source data integration for segmentation of unannotated mri images.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Multi-source data integration for segmentation of unannotated mri images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.506260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.759279Z digest=sha256:b1329a251f715922e173c072ab4f70f9680eadc22adfed736d7aada564508d07

Observation a997a551-50b7-4ba1-b432-4920da70aa24 · outbound

This paper cites Causality-inspired single- source domain generalization for medical image segmenta- tion.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Causality-inspired single- source domain generalization for medical image segmenta- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.491613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.764075Z digest=sha256:f2f08a91aad5884bf1d066f7192a9f669e43b47b27cd1f28a1e820fb9017b3c6

Observation 7cafcb2b-a9e0-4048-ba49-72eafc01a907 · outbound

This paper cites Scalable diffusion mod- els with transformers.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Scalable diffusion mod- els with transformers

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.477180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.768948Z digest=sha256:ba28975f7fd52c920cf6ae01e51dc3608d3eb28b0e79fa5021c5bf2183c0864b

Observation 66eef90a-a72d-400f-b15b-6c80454071dd · outbound

This paper cites Structure-preserving synthesis: Maskgan for unpaired mr-ct translation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Structure-preserving synthesis: Maskgan for unpaired mr-ct translation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.462255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.776053Z digest=sha256:2456af672896e54e133a7d72ba71e67beaea935fc04017ec12de5636e5821afa

Observation 3e6b2bfa-3cd2-47a4-8463-b6a70394819a · outbound

This paper cites Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.444895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.780810Z digest=sha256:fe7d0ebbc199c48874ceb6b53c9837889fdc8e306e55d02742ad953353bd9244

Observation bd26a071-f5ba-43a3-9186-9d60e394fcc0 · outbound

This paper cites Sam 2: Segment anything in images and videos.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Sam 2: Segment anything in images and videos

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.428572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.786445Z digest=sha256:de5925668d708190abfcc9a5d6b7b529efdeea39fbdd8065776e7668b96b8c9a

Observation 759538b2-6ea6-4564-98f7-7c26397a05ed · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities High-resolution image syn- thesis with latent diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.411929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.791253Z digest=sha256:ecb6223ce92b0084925a8a8559ce3e454bb2f4336237fc8377263d27be519366

Observation f24f787e-6253-4c12-9c32-0b42962c6a60 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities U-net: Convolutional networks for biomedical image segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.396560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.796350Z digest=sha256:41512375fb91ce8379ea33cf09f8cee485653a0c5b589d29cc8e771a37996ec8

Observation 21ae23dd-3c6a-472a-9d4a-75e328ecfc0b · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.381077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.801365Z digest=sha256:60e6c924f7cc8b2e42d391a5ecfca50b510dc0376e30cafda7ebc691ef6549e8

Observation 29a22979-feba-4560-b8f2-5a03abf21916 · outbound

This paper cites UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.806259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.806259Z digest=sha256:e9aa64f9eba81cf1b2dc280f30d2d7e848de3e0c4cf3dc166d525d93640f35a6

Observation c1596c6c-c6e3-44f0-9773-6e30e89febcb · outbound

This paper cites Denois- ing diffusion implicit models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Denois- ing diffusion implicit models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.366494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.812048Z digest=sha256:b34eb45f821e2757965cde8b5e454b02f5ad012a1ac7fcc295f30252ca9e6954

Observation cf6ded83-e96d-49f6-85c8-d6da21b3a21b · outbound

This paper cites Rethinking data augmentation for single-source domain generalization in medical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Rethinking data augmentation for single-source domain generalization in medical image segmentation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.348814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.817307Z digest=sha256:51412dca5e8010c78f7409b5c9f55821ccce47e34d282bcfcc8647f29ce7a153

Observation 4ca1ee6f-3350-4265-867e-6120ee0c9a92 · outbound

This paper cites Self-improving generative foundation model for synthetic medical image generation and clinical applications.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Self-improving generative foundation model for synthetic medical image generation and clinical applications

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.331238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.822364Z digest=sha256:d2278b5b9e32f6ce2148cf4baa0cd2fb7ac9bc2be6aa1a9218fd5abd2dd4077e

Observation f67b43e2-da59-451d-91f4-a551c2fbb62b · outbound

This paper cites Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.311586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.827446Z digest=sha256:756959a7fc2efc76a05635b0e94416866d76371d07680792ceddc8af085e6cee

Observation 726d1ca7-8f7e-426a-8265-0134a9bb2f87 · outbound

This paper cites Megafusion: Extend dif- fusion models towards higher-resolution image generation without further tuning.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Megafusion: Extend dif- fusion models towards higher-resolution image generation without further tuning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.292984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.831945Z digest=sha256:773f1bb32c4dd46a9f7d7ed5693d2ef29def4c75a6ea72faffd3e3e3d2a19dca

Observation 256abd2b-6593-42c9-ab14-effe10772f6a · outbound

This paper cites FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.836605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.836605Z digest=sha256:833293cc09d067a661f03eadf92e840c0d6a7be358e0c8990f93f3389520a9d9

Observation 23807285-f47e-40fe-9316-a0692c62d6c2 · outbound

This paper cites Ad- versarial consistency for single domain generalization in medical image segmentation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Ad- versarial consistency for single domain generalization in medical image segmentation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.271567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.842220Z digest=sha256:f079810a247227000de02ac9c1d2d0bd18687359ceb0fd3726f6db5dc9bdc66a

Observation c0388239-ca5b-4ed8-b255-760a2f47b924 · outbound

This paper cites Medm2g: Unifying medical multi-modal genera- tion via cross-guided diffusion with visual invariant.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Medm2g: Unifying medical multi-modal genera- tion via cross-guided diffusion with visual invariant

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.249211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.846825Z digest=sha256:5e44ee93b14170a4f2a953ed80261c2bf0d8a28b87b8ab9c15dd8a778a2ff591

Observation 93d36ab4-68f5-49ad-98cb-8e5b299a7ff4 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Adding conditional control to text-to-image diffusion models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.228018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.853221Z digest=sha256:1f0263e5f3682b2ccaf94d535025976245e4f3ae897d45503d5d4db4aa5d7b0c

Observation db8ce7ad-3afd-48fe-b3d4-6c102b064aca · outbound

This paper cites A multimodal biomedical foun- dation model trained from fifteen million image–text pairs.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities A multimodal biomedical foun- dation model trained from fifteen million image–text pairs

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.209387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.858214Z digest=sha256:dbd687cae0c9e9ce6e8a7d3a3db1662aa23060fd5442c1b93e6cab7424b01a7e

Observation f19d511c-4e45-4878-86b5-b0de7f2fa10e · outbound

This paper cites Knowledge-enhanced visual-language pre- training on chest radiology images.Nature Communications, 14(1):4542, 2023.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Knowledge-enhanced visual-language pre- training on chest radiology images.Nature Communications, 14(1):4542, 2023

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.863514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.863514Z digest=sha256:99fda4c422b66bd8610ab0d13816aac5ea65adf7220f3c2179d1cf3f306a75c5

Observation 8e2d7c8b-aad0-4a80-809f-0e6016f12f80 · outbound

This paper cites Self-supervised tumor segmentation with sim2real adaptation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Self-supervised tumor segmentation with sim2real adaptation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.183160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.868589Z digest=sha256:dfc89592dd57f4d278510015cce8d2b94a12bd4507e86f114e8583bf14ef0bf4

Observation e4a3235b-9db0-472b-aa68-22ee0b526dc6 · outbound

This paper cites Large- scale multi-center ct and mri segmentation of pancreas with deep learning.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Large- scale multi-center ct and mri segmentation of pancreas with deep learning

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.163875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.873496Z digest=sha256:84754e0b8ec083ea291b0935976aff6175a79936025a4b569b6920d783fc72b2

Observation 3a522c4b-0cfd-4301-9bab-0dd53299c456 · outbound

This paper cites Large-Vocabulary Segmentation for Medical Images with Text Prompts.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T22:28:07.878463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:28:07.878463Z digest=sha256:fbd4ba59175b8b9ec33cd74aa6191741273b8f8914490657f7929982da1f5e10

Observation c25c56ce-4185-4212-9dcc-a30ae9f4ab19 · outbound

This paper cites nn- former: V olumetric medical image segmentation via a 3d transformer.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities nn- former: V olumetric medical image segmentation via a 3d transformer

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.143944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.883677Z digest=sha256:b4d6118c7ff074f62afa076f3e219284c5396a5714102bcefe4f16c50cc44564

Observation 8a2d1a97-839c-43f6-a9a0-700c6903da54 · outbound

This paper cites Generalizable cross-modality medical image segmentation via style augmentation and dual normalization.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Generalizable cross-modality medical image segmentation via style augmentation and dual normalization

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.126443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.888364Z digest=sha256:dd8f9e188e248a65e99f3af425a5b8e0d0ea688123c72701da81c6035a5c8161

Observation 0a73d9f9-8e9a-43e4-9a31-e3083298c621 · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.109479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.893433Z digest=sha256:fc009b00c00dea8506c5c169c86a258aecb5873f6b776aade92d8450fb9cdb7d

Observation 8c4907ca-76eb-4421-a75c-e7eee480bafc · outbound

This paper cites Problem Formulation.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Problem Formulation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.092457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.898050Z digest=sha256:7b6b93f9caa1fe362629f3ecfcdd9568a1865b816f11da03150bf02aac97ff96

Observation 9f5ddc31-ba74-426b-a8e8-b93b0fc9eaf2 · outbound

This paper cites Experimental Settings.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities Experimental Settings

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:08.076824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.902760Z digest=sha256:370c0e82666c7b6efdcfb5713373d422d97ff30ca1b5e2305fe51cc19112aca0

Observation f9acd864-c0f1-48a0-be0e-edcd99f5c8b1 · outbound

This paper cites :PanSegT2 𝒟!: MSD-Prostate ADC → 𝒟.

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities :PanSegT2 𝒟!: MSD-Prostate ADC → 𝒟

Reference 73

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T22:28:08.060037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:28:07.907805Z digest=sha256:1006598a843ddc21b41fbfbc319beab8a164befb987ac962ae6b5be33a366d36

Pith citing papers

Observation 6a868a65-61d7-4e05-8f2a-ccec593bc410 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration MRGen: Segmentation Data Engine for Underrepresented MRI Modalities

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:33:56.360664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:33:55.771797Z digest=sha256:c363e8acd8a094da903f7d3b6f08d031c3fa7b2d2c5e8ee418088f11f8456ba7