Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization | Paper Citation Record

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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This paper cites Gottlieb.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Gottlieb

Reference 20

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This paper cites Un- supervised 3d out-of-distribution detection with latent diffu- sion models.

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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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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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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This paper cites Magdamo, Steve Arnold, Sudeshna Das, et al.

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

Reference 26

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This paper cites Alexander, et al.

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

Reference 27

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This paper cites Jack, Matt A.

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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This paper cites LaMontagne, Sarah J.

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

Reference 30

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

Reference 33

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

Reference 34

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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

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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

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

Reference 37

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This paper cites Alexander, and Juan E.

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

Reference 38

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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

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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

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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

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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

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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

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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

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This paper cites Ridgway, Zeike A.

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

Reference 45

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This paper cites Krumholz, Jure Leskovec, Eric J.

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

Reference 46

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This paper cites Improving noise.

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization Improving noise

Reference 47

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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

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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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers