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Paper Citation Record · LEDGER

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization

As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2501.13370.

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

pith.paper-citation-record.v1
2501.13370 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

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measured 75 of 75 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

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Outbound references

Observation 6f5341cb-6e2b-4e97-8d3d-9d643eaad193 · outbound

This paper cites https://monai.io/model-zoo.html.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization https://monai.io/model-zoo.html

Reference 1

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Observation 0e4081e8-883f-4098-ad61-b81300753277 · outbound

This paper cites Vector potentials in three-dimensional non- smooth domains.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Vector potentials in three-dimensional non- smooth domains

Reference 2

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This paper cites Lp-theory for vector potentials and sobolev’s inequalities for vector fields: Application to the Stokes equations with pressure boundary conditions.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Lp-theory for vector potentials and sobolev’s inequalities for vector fields: Application to the Stokes equations with pressure boundary conditions

Reference 3

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Observation d118739a-2e05-407e-a6ce-254a1706f6f8 · outbound

This paper cites Advanced normalization tools (ANTs).

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Advanced normalization tools (ANTs)

Reference 4

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Observation bb1bbb21-1e99-4c30-bef1-783dc5abef08 · outbound

This paper cites Guttag, and Adrian V.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Guttag, and Adrian V

Reference 5

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Observation 73234f1a-3d28-4f91-886a-01044862a3e3 · outbound

This paper cites Autoencoders for unsuper- vised anomaly segmentation in brain MR images: a compar- ative study.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Autoencoders for unsuper- vised anomaly segmentation in brain MR images: a compar- ative study

Reference 6

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Observation ce499e75-6976-4682-b859-d84cbe9b197b · outbound

This paper cites Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce R.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce R

Reference 7

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Observation 78e0c89d-3f57-4165-8458-0d92982311fa · outbound

This paper cites Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

Reference 8

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 9

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Observation d0de063a-8511-4680-bbe5-9e543e91d4d5 · outbound

This paper cites Deep learning for physical processes: Incorporating prior scientific knowledge.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Deep learning for physical processes: Incorporating prior scientific knowledge

Reference 10

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Observation c73e47c9-8e8d-470d-b4a8-b53fef6dc8c7 · outbound

This paper cites de V os, Floris F.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization de V os, Floris F

Reference 11

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Observation e6dfc2af-2bf9-47f4-8707-3f9b708b273c · outbound

This paper cites Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis

Reference 12

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Observation 34c34b84-a5a9-41b8-a9cd-b5e1888dec1b · outbound

This paper cites Local temperature scaling for probability calibration.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Local temperature scaling for probability calibration

Reference 13

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Observation 0919609e-97b7-4b70-8019-4ec1ee52fa11 · outbound

This paper cites Discrete vector potential representation of a divergence-free vector field in three-dimensional domains: Numerical analysis of a model problem.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Discrete vector potential representation of a divergence-free vector field in three-dimensional domains: Numerical analysis of a model problem

Reference 14

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Observation 6d0d53a0-5520-4cf1-a4d0-8cc3af83935c · outbound

This paper cites Van Essen, K ˆamil U ˘gurbil, Edward J.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Van Essen, K ˆamil U ˘gurbil, Edward J

Reference 15

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Observation 2397a835-2e1a-4c44-9208-a157806880bb · outbound

This paper cites Whole brain segmentation: automated labeling of neuroanatomical struc- tures in the human brain.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Whole brain segmentation: automated labeling of neuroanatomical struc- tures in the human brain

Reference 16

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Observation 5f04ed70-67b7-47e6-88e2-bae7594735e1 · outbound

This paper cites Fischl, David H.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Fischl, David H

Reference 17

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This paper cites Rainey-Smith, Sabine M.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Rainey-Smith, Sabine M

Reference 18

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Observation 3f1c3e08-7497-440c-8c7e-7a451bbe77f8 · outbound

This paper cites Learning to estimate single-view volumetric flow motions without 3d supervision.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Learning to estimate single-view volumetric flow motions without 3d supervision

Reference 19

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Gottlieb

Reference 20

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Un- supervised 3d out-of-distribution detection with latent diffu- sion models

Reference 21

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Observation 54ed214c-88f9-4d87-8eb0-56dff8f8d35e · outbound

This paper cites ISLES 2022: A multi-center magnetic resonance imag- ing stroke lesion segmentation dataset.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization ISLES 2022: A multi-center magnetic resonance imag- ing stroke lesion segmentation dataset

Reference 22

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Observation 59185657-3bbd-47af-9482-e5448ae8ec96 · outbound

This paper cites Greve, Juan Eugenio Iglesias, Bruce R.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Greve, Juan Eugenio Iglesias, Bruce R

Reference 23

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Observation ba7c8dc1-6e52-4144-8c50-287c3fe21bc2 · outbound

This paper cites Mora, Adrian V.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Mora, Adrian V

Reference 24

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This paper cites Modern diagnostic imaging technique applica- tions and risk factors in the medical field: a review.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Modern diagnostic imaging technique applica- tions and risk factors in the medical field: a review

Reference 25

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Magdamo, Steve Arnold, Sudeshna Das, et al

Reference 26

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Alexander, et al

Reference 27

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Jack, Matt A

Reference 28

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 29

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Observation 639d4dd4-9d19-4382-b929-cd98318db5aa · outbound

This paper cites LaMontagne, Sarah J.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization LaMontagne, Sarah J

Reference 30

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Observation 6c79c179-b71d-4be7-a628-5bc03fa3c240 · outbound

This paper cites Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI

Reference 31

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Observation a25bb64e-4134-420f-9631-ba96afae8929 · outbound

This paper cites A unifying framework for partial volume segmentation of brain MR images.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization A unifying framework for partial volume segmentation of brain MR images

Reference 32

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Observation 74f48053-6b60-41ac-a7c9-52d14c6f42d7 · outbound

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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 33

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Observation 385f16ad-3793-49a5-9599-3054e9b61e0b · outbound

This paper cites Trivializations for gradient-based optimization on manifolds.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Trivializations for gradient-based optimization on manifolds

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.434369Z digest=sha256:ba5ed6f31939ba466712a15d0a32b639126a9720cf5a92c3e56d192296bc9aa3

Observation 4f9ac33c-f1ea-44ea-913a-b75792b18bd4 · outbound

This paper cites Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.987603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.438111Z digest=sha256:d8159ef533f14353430f1c674f983707dc49b405cfd1155c273d9a1213592ff7

Observation 720a97e6-9481-4b82-9360-c50f43811337 · outbound

This paper cites A large, open source dataset of stroke anatomical brain images and manual lesion segmentations.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.978578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.442083Z digest=sha256:a98b9e27733f8445578d3e44513deaf480fd70dfd79b2ac6712fd34fa8f8c718

Observation f8d16b04-d7ea-40de-81ad-a0392d5ef159 · outbound

This paper cites Lee, Stephen R.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Lee, Stephen R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.968608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.445654Z digest=sha256:63a6d4f9dca797e85705fcbfcdeb09960c40155a2ac3d5d7b99c94ccf1cba9b5

Observation fa7ba97a-6f0b-4842-b387-8d80d2ea6e99 · outbound

This paper cites Alexander, and Juan E.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Alexander, and Juan E

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.959298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.449398Z digest=sha256:67c9a04ffb11d1c2e940880d7165b1f1b5f7851a611203fb5121f6164c3b0b3e

Observation c1366d42-a58a-494f-914e-584606ec3d57 · outbound

This paper cites PEPSI: Pathology-enhanced pulse-sequence-invariant representations for brain MRI.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization PEPSI: Pathology-enhanced pulse-sequence-invariant representations for brain MRI

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.940212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.457117Z digest=sha256:bd1dc434555dbbcf76e86497dede1669af8dc84c910c83861441a6965fa9e2f6

Observation 6c41157e-f85c-4936-b481-6d81d0e6ef34 · outbound

This paper cites Discovering hidden physics be- hind transport dynamics.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Discovering hidden physics be- hind transport dynamics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.928464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.460497Z digest=sha256:5875f5743571cf02daac6562da33028d83e1519c3b1f8209afa1e0736ff47a67

Observation a3616a79-a302-458b-b310-0d27ff3ea76e · outbound

This paper cites On the application of the Helmholtz- Hodge decomposition in projection methods for incompress- ible flows with general boundary conditions.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization On the application of the Helmholtz- Hodge decomposition in projection methods for incompress- ible flows with general boundary conditions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.917586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.464177Z digest=sha256:a30eaa0a792d8508158f8e395f7a593d61ad811c90765fb233b70d783a96b4a7

Observation 4dff6d43-1ee4-4acb-92da-f028208eac1f · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS).

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization The multimodal brain tumor image segmentation benchmark (BRATS)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.906278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.467968Z digest=sha256:724beb51a09641f5d9b449bc1939426eb285f06235ec0693264acf341471177e

Observation 56aca16d-39e9-4e43-9c17-726e06f6d19e · outbound

This paper cites V-Net: Fully convolutional neural networks for volumetric medical image segmentation.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization V-Net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.897345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.471994Z digest=sha256:309ce8d958cfa92722de6a7b781890b4420b7a9140726ed7b65afad1b05c4e39

Observation afb40367-1191-4448-92c8-bfcd95133466 · outbound

This paper cites Fast free-form deformation using graphics processing units.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Fast free-form deformation using graphics processing units

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.889688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.475632Z digest=sha256:15e5c7d4085cb66d772672ddf4a46440c4a1833523f5c37343ec2f108fe2c214

Observation 8dbad5a8-9f2e-41f1-ba2a-84e4764ba0b7 · outbound

This paper cites Ridgway, Zeike A.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Ridgway, Zeike A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.881846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.479408Z digest=sha256:42e37710e9dec95d267fe2b3d050b90b2253d6e48553248142c636d3fccc104b

Observation a70fc785-d200-4cb3-b084-a1d746663ec1 · outbound

This paper cites Krumholz, Jure Leskovec, Eric J.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Krumholz, Jure Leskovec, Eric J

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.873669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.483307Z digest=sha256:a8af735e6b1f78cbed1c9c46b24274229b2acfbf0b3de5cf524018dd0adde523

Observation e232ecdf-3357-42c6-b91c-ecd908d022fd · outbound

This paper cites Improving noise.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Improving noise

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.864246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.487069Z digest=sha256:877dcb5649483d2ce88bd445a83eb33078de5cc635bf96722b77dd2bb7b6ae74

Observation ed872773-874b-4c13-ade3-838de5017d25 · outbound

This paper cites Fast and sequence-adaptive whole-brain segmen- tation using parametric bayesian modeling.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Fast and sequence-adaptive whole-brain segmen- tation using parametric bayesian modeling

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.854800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.490483Z digest=sha256:a9a8a50c619e91b4b207da111b9e6c01f91321212bdd761f4370f68f7b46750c

Observation a2754c2b-fa37-4ca8-b033-7380b74f1917 · outbound

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

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization U-net: Convolutional networks for biomedical image segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.845038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.494144Z digest=sha256:cb7ac185419d320a3f4044cdb9a6678010ddcb9b49b30b774a098f5bfe5202b5

Observation e6b4bef7-7163-419d-88b4-44d0bb16491d · outbound

This paper cites Nonrigid reg- istration using free-form deformations: application to breast MR images.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Nonrigid reg- istration using free-form deformations: application to breast MR images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.835163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.497947Z digest=sha256:4a5141df6c31bd86e2d581a4c595b087cda5bdefb95c684d4d3441b405e463fb

Observation 4db586c2-9f8a-419d-b1bb-7007ad427101 · outbound

This paper cites Accurate point cloud registration with robust optimal transport.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Accurate point cloud registration with robust optimal transport

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.825494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.501703Z digest=sha256:616c4be7b3a72539e2db4870d1c01de423044c1ee424ad5cc7950328afcaf8dd

Observation 479c9165-bd32-4e8e-bea2-40ab9863c259 · outbound

This paper cites Large language models encode clinical knowledge.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Large language models encode clinical knowledge

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.816887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.505106Z digest=sha256:4b871668143ac2f04f9b4b9e43a9bbd4cbe1dda82d2bc756029286d57a84dd6b

Observation 9cf51570-8b11-4d49-b176-cbcf85b3d133 · outbound

This paper cites PWC-net: CNNs for optical flow using pyramid, warping, and cost volume.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization PWC-net: CNNs for optical flow using pyramid, warping, and cost volume

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.807813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.508571Z digest=sha256:b78cbca6599fbfaac1e8be36c9b509dc4c3b5c4f3556909af26871bec585841e

Observation 763c9f6b-b50f-4f33-a5cf-f573d1e0b86e · outbound

This paper cites Worrall, Enrico Kaden, and Daniel C.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Worrall, Enrico Kaden, and Daniel C

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.798575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.512299Z digest=sha256:ec6b0c9f40e1a039f3e833ad8bd690eaa182b954d2edb1e6529c46e3733d3de3

Observation 1a9c3a97-abff-4bdf-9b34-58532d140445 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Raft: Recurrent all-pairs field transforms for optical flow

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.789265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.515808Z digest=sha256:00a00d855d65074a48dd53dd7cfac81b4d19470e5075ffa71d56e9b3c57e1c6b

Observation ad349b5a-903d-4c7c-afda-0c61c30ba1ec · outbound

This paper cites Fluid registration between lung CT and stationary chest to- mosynthesis images.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Fluid registration between lung CT and stationary chest to- mosynthesis images

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.780130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.519149Z digest=sha256:c96e1bdd1f4d22b16cc47279144a1361169f54a311ccbd07d197f973c06a837f

Observation ccff5abd-2bb7-4598-8534-9bcbb0a46c4b · outbound

This paper cites Fultz, et al.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Fultz, et al

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.771879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.521738Z digest=sha256:031a934cf948a95d879d968f75700a3b4c9bd1b3a29b7b7aa13e68019357226f

Observation c1d5cfa2-b02b-4b05-a11a-0a6155ca5dc0 · outbound

This paper cites Towards Generalist Biomedical AI.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Towards Generalist Biomedical AI

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:25.524099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:25.524099Z digest=sha256:d43fe15dcc3e17e7670c2a362efe80963306fac18929a992c96285adcfd52e58

Observation cd7047d3-f349-4dce-b0e0-af85a4ed5702 · outbound

This paper cites SAM-Med3D-MoE: Towards a non- forgetting segment anything model via mixture of experts for 3D medical image segmentation.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization SAM-Med3D-MoE: Towards a non- forgetting segment anything model via mixture of experts for 3D medical image segmentation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.763479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.527225Z digest=sha256:4a8911584901714633c3a7c9345918e568cd04e0df1792bf0057fdfd9c1a6c14

Observation 41d8df3a-7de5-44e4-b353-95fb43a9d8b6 · outbound

This paper cites Deep visual domain adapta- tion: A survey.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Deep visual domain adapta- tion: A survey

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.753823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.529840Z digest=sha256:e5456b7f9750642a43b39ebd4b4d9815f14193fce6e07e212346a76749c3d3b9

Observation 49b55764-8a3d-4eb2-85b2-4d7c93a2e6a6 · outbound

This paper cites Weiner, Dallas P Veitch, Paul S.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Weiner, Dallas P Veitch, Paul S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.744210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.532670Z digest=sha256:d892221259da9e211e2dc774870bb4a3c96b40bf31862fef829333553cc2b42c

Observation 41d390fe-186d-4599-995a-c453906b6eb4 · outbound

This paper cites HelmFluid: Learning helmholtz dynamics for interpretable fluid prediction.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization HelmFluid: Learning helmholtz dynamics for interpretable fluid prediction

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.735099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.535171Z digest=sha256:3bd060af25884091c4d29b9f1e0126cdbfd9bfb1589e8435a1887694da37d7a7

Observation e7d651e6-3754-4153-9a9f-f81821746de6 · outbound

This paper cites Quick- silver: Fast predictive image registration – a deep learning approach.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Quick- silver: Fast predictive image registration – a deep learning approach

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.726099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.538012Z digest=sha256:1bff9f06172068bf56fb0b49808e81e6fed935b7869f6af09d0661697aadc372

Observation a4c61d1d-f6b9-4ccf-b305-844bca34aeb2 · outbound

This paper cites Quicksilver: Fast predictive image registration–a deep learning approach.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Quicksilver: Fast predictive image registration–a deep learning approach

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.716729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.540837Z digest=sha256:e0a5f94436a0b4e1099dc5d8c6f72eee6927b9b0a4c403ada8bf973a4815da5e

Observation e5d1ec8d-1836-4d6e-9a17-7de2a5498efe · outbound

This paper cites Ayhan, Dominic J Williamson, Robbert R.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Ayhan, Dominic J Williamson, Robbert R

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.706828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.544228Z digest=sha256:7f1bc0e77dfea77822e0273e8da48571052c89fe9f60749873821f9a2f8dc8fa

Observation d1f79b1b-8003-4100-8ddf-1241dff5373b · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.696322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.548234Z digest=sha256:2e8e4ddc6bfff27b4708e743022ce6013d165d482cfd8a921f1714a12404e780

Observation 722452c3-6bcf-4cb4-8713-2ce67ff5e935 · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.687095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.552265Z digest=sha256:1fa39dea87850f6f25749d454adff7ebda7c851a74a25deb9f03b3ed0a525299

Observation 8bec94b1-d9fd-4144-85ef-5064f45f12f6 · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.677422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.555898Z digest=sha256:150d6f1a08ebb72903df50f0725f89d11740035797129c41c7a111d0121348e8

Observation 77bed396-fdd3-4484-836f-8ac7c3d4e63b · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.667668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.559726Z digest=sha256:6529746f754f80268d658be91c4fa57e945c8c5e93d1abf18584f8a77b986d9b

Observation 041f0096-127e-4308-a598-f81367b61864 · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.657735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.563085Z digest=sha256:bc7800a606697be44a06dc8333a473faab9e4e85fd8b2a3100dc365730e868ae

Observation 99e23ac6-605d-407a-850d-5659cb1608d7 · outbound

This paper cites generateperlin noise 3d.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization generateperlin noise 3d

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:25.649417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.566640Z digest=sha256:e60a5616789670f65c6f20026ceba40706a6e4ce2912a13a1cf6d1434861dc95

Observation 12160c52-e05b-4ce8-b30a-b282d2d85d3d · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.642031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.570199Z digest=sha256:e04b7d86e9dfac792207e72ec4dbbbbbd78c1c40d86f6575886ff2e8a38c04a6

Observation 81f9ebc3-0e62-4161-8473-fc01d5b53663 · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.633580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.573731Z digest=sha256:da5ae015bfd65537a96a352a5ba4b2c14fd12c5c6edcd78318205c1e16fcac87

Observation 15b83d23-0cfc-4a2d-b624-43c67b97736f · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:19:25.624022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.577614Z digest=sha256:d841c63559fa2e86b161cf77dbff38a82d458094ca1f9167c6ebe064b412d1d1

Observation e776963b-1d25-4fec-a464-b89e8eeedd3f · outbound

This paper cites an unresolved cited work.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Unresolved cited work

Reference 2024

Resolution
parse uncertain
raw_fallback, observed 2026-08-10T16:19:25.949649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T16:19:25.453351Z digest=sha256:f8d6adb855b8ba1962256e0e2cc0c2f55db1194c27329b587afcee327688261b

Pith citing papers

No inbound Pith citation observations are available.