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Paper Citation Record · LEDGER

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.02564.

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

pith.paper-citation-record.v1
2607.02564 v1

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measured 57 of 57 reference resolution

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57 of 57 outbound references displayed

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Outbound references

Observation c6f1cad5-dbe5-40bf-aa05-ad3b47415126 · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 2

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This paper cites URL https://doi.org/10.1115/ 1.2746378.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://doi.org/10.1115/ 1.2746378

Reference 3

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This paper cites S., Nasif, M.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation S., Nasif, M

Reference 4

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This paper cites & Verzicco, R.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Verzicco, R

Reference 5

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Observation c32b62df-790c-48e9-8578-58c2da3e44a1 · outbound

This paper cites URL https://www.sciencedirect.com/ science/article/pii/S001046552100360X.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://www.sciencedirect.com/ science/article/pii/S001046552100360X

Reference 6

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Observation 0d70afb1-541a-47ff-896f-15e11a8d29b5 · outbound

This paper cites A., Mazzoli, M.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation A., Mazzoli, M

Reference 7

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Observation e1389e4f-b646-4419-b0de-2f3dddb0b747 · outbound

This paper cites & Veneziani, A.Cardiovascular Mathematics: Modeling and simulation of the circulatory systemVol.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Veneziani, A.Cardiovascular Mathematics: Modeling and simulation of the circulatory systemVol

Reference 8

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Mittal, R

Reference 9

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This paper cites & Verzicco, R.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Verzicco, R

Reference 10

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This paper cites A., Verzicco, R.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation A., Verzicco, R

Reference 11

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This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 12

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This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 13

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This paper cites URL https://doi.org/10.1093/pnasnexus/pgae392.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://doi.org/10.1093/pnasnexus/pgae392

Reference 14

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This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 15

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Observation 17e89bcc-9594-40ce-8814-f76468cf67db · outbound

This paper cites C.et al.Intra-and inter-operator variability in mri-based manual segmentation of hcc lesions and its impact on dosimetry.EJNMMI physics9, 90 (2022).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation C.et al.Intra-and inter-operator variability in mri-based manual segmentation of hcc lesions and its impact on dosimetry.EJNMMI physics9, 90 (2022)

Reference 16

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Observation f4d3f714-0b36-4ae0-8f8b-9c50f5b1fcab · outbound

This paper cites & Voiculescu, I.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Voiculescu, I

Reference 17

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 18

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This paper cites F.et al.Hvsmr-2.0: A 3d cardiovascular mr dataset for whole-heart segmentation in congenital heart disease.Scientific Data11, 721 (2024).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation F.et al.Hvsmr-2.0: A 3d cardiovascular mr dataset for whole-heart segmentation in congenital heart disease.Scientific Data11, 721 (2024)

Reference 19

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This paper cites L.et al.(eds)Imagechd: A 3d computed tomography image dataset for classification of congenital heart disease.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation L.et al.(eds)Imagechd: A 3d computed tomography image dataset for classification of congenital heart disease

Reference 20

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Comaniciu, D

Reference 21

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This paper cites & Viehmann, T.Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools(Manning, 2020).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Viehmann, T.Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools(Manning, 2020)

Reference 22

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This paper cites Deep learning models in medical image analysis.Journal of Oral Biosciences64, 312–320 (2022).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Deep learning models in medical image analysis.Journal of Oral Biosciences64, 312–320 (2022)

Reference 23

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Zhu, H

Reference 24

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Suk, H.-I

Reference 25

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 26

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This paper cites URL https://doi.org/10.1148/radiol.241613.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://doi.org/10.1148/radiol.241613

Reference 27

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://www.sciencedirect.com/science/article/pii/S0730725X12001816

Reference 28

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation F., Kohl, S

Reference 29

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This paper cites (ed.?)proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Vol.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation (ed.?)proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Vol

Reference 30

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

Reference 31

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This paper cites S.et al.Ai in medical imaging informatics: current challenges and future directions.IEEE journal of biomedical and health informatics24, 1837–1857 (2020).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation S.et al.Ai in medical imaging informatics: current challenges and future directions.IEEE journal of biomedical and health informatics24, 1837–1857 (2020)

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Buntine, W

Reference 33

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From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Frangi, A

Reference 34

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This paper cites URL https://www.sciencedirect.com/ science/article/pii/S1361841515001346.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://www.sciencedirect.com/ science/article/pii/S1361841515001346

Reference 35

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Observation 081f427e-25d0-46cf-af9e-c8aecd951ea8 · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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Observation f476f5c1-e1c3-44d2-97f3-f8301b0e5987 · outbound

This paper cites URL https://www.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation URL https://www

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Observation d425ba01-95d5-4e3b-a49f-bd1eeabe1918 · outbound

This paper cites 26 (Asiatic Society., 1933).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation 26 (Asiatic Society., 1933)

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Observation 0f8399bb-e10d-4f60-8bc5-954f9b8bff4b · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:7009364cb1e1ab521de60fa2cb32279bdb9859d72297fea420e42f46b4a5ef00

Observation ee10559a-e14d-4ba5-888b-70fa25be9b4d · outbound

This paper cites Auto-Encoding Variational Bayes.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Auto-Encoding Variational Bayes

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:47242ec13ba3f5e507d99d52af46f22c4d0cbe39221902fcf4a012823fd8821c

Observation 22a453ff-3642-4695-ab7a-2d1ab164c0f7 · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:c246fe75f482d27dc57cb7ee8c118b2b86d6d4c3486a0c625d815a544a14cace

Observation d27750b6-0a62-4528-a4bc-9fa1133cc102 · outbound

This paper cites J.et al.Generative adversarial nets.Advances in neural information processing systems27(2014).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation J.et al.Generative adversarial nets.Advances in neural information processing systems27(2014)

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Observation 2ca3a9a5-19f7-494d-8dc9-74259a0fdc8e · outbound

This paper cites & Abbeel, P.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Abbeel, P

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Observation 3395d5e1-1954-4688-8865-e5124a7d81a4 · outbound

This paper cites A., Iollo, A., Viola, F.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation A., Iollo, A., Viola, F

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:edd0827a0e564935ebff16e6577bc6c9163c7eebdb83788a9f5f2453a3485c81

Observation 1e48a1e1-9032-435d-9c61-1e553c8caf11 · outbound

This paper cites & Geveci, B.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Geveci, B

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:8573d7466f269301081ad24cfeadb69c01bd2b0378b806a1d6e80e9cf028fe1f

Observation 6a1c5149-68d4-479b-b420-df376e8d5b15 · outbound

This paper cites A solution for the best rotation to relate two sets of vectors.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation A solution for the best rotation to relate two sets of vectors

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:3997baa80d492acfbcbc9562e31f40cc174b3a8582d7d0be39402e519e20f8e0

Observation 929dfbb8-c52a-4d06-8987-41a8b9243139 · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:4a63675d9fc84969ba44359846dbe521e7c029daae8812d07c5b51212b954872

Observation 7005ad68-9864-4b2c-b089-1cd230918f60 · outbound

This paper cites & Seidel, R.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Seidel, R

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Observation 595977d9-5f32-4fa4-8242-34fc9c3d94d0 · outbound

This paper cites & Van Dyk, D.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Van Dyk, D

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Observation 25772e49-372a-46d7-9542-cf74779baefb · outbound

This paper cites J., Moulavi, D.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation J., Moulavi, D

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Observation 7eb9a282-3caa-4062-aee4-86a581838f3c · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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Observation 6e31a5f2-1834-46fd-a043-c3ebc77e89d6 · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:af7251e0c07b063d66491143fee4a63922f58c2fc08af37143824dbbd4fe2bab

Observation b7be822c-1cd3-4b2a-acae-392f55b628c3 · outbound

This paper cites & Viola, F.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Viola, F

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:0a75319ad8aefa45f74d08f6eb7043e4350b56eda5c1d3492b0835d4edc2dda1

Observation c7b19e5d-e2b0-40e4-8b0f-aa41f237bb4f · outbound

This paper cites & Kaszynski, A.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Kaszynski, A

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:c40cc798dd03a39b5dad0a39ebb6c7f1a35e5d10d79a94a2088b1361cf51cf5e

Observation df381da8-4a7c-475d-b2e3-1a2192bc1044 · outbound

This paper cites & Lorensen, B.The Visualization Toolkit (4th ed.) (Kitware, 2006).

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation & Lorensen, B.The Visualization Toolkit (4th ed.) (Kitware, 2006)

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:edaf2d53e06eddd9402f084e2e393543f8281270e822dd2c0ff20266e3944d77

Observation 38f15ef7-83f9-4a47-a2ff-83ecaf44fa0f · outbound

This paper cites an unresolved cited work.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Unresolved cited work

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source=pdf_text observed=2026-07-12T10:47:08.171728Z digest=sha256:96c0a5bd4ad8546a0bf59b42e6a11f75407d31d1fd0915ae9eda5624fafa4cf9

Observation 98e36119-bcc1-468d-9570-76022aa94ad1 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Accelerating 3D Deep Learning with PyTorch3D

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Pith citing papers

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