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Paper Citation Record · LEDGER

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.19626.

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

pith.paper-citation-record.v1
2507.19626 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:15:29.815569Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35cbcc0e-5f27-4af6-a769-5df48e034f86 · outbound

This paper cites Nature communications 13(1), 4128 (2022).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Nature communications 13(1), 4128 (2022)

Reference 1

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Observation 18707c66-5ac0-4293-a865-960332dad9bc · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 2

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Observation 33702dcc-8c90-40cb-ac89-8d840b46edcd · outbound

This paper cites The cancer imaging archive (2017).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit The cancer imaging archive (2017)

Reference 4

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c6751a2d-a557-4ea6-a1a5-6edc11bda1a7 · outbound

This paper cites Scientific data 4(1), 1–13 (2017).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Scientific data 4(1), 1–13 (2017)

Reference 5

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Observation c281792e-433d-47d9-8059-7b741bce312c · outbound

This paper cites In: European conference on computer vision.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: European conference on computer vision

Reference 6

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Observation 5bc96d55-4c73-4703-9a3f-cb1cb0857bd1 · outbound

This paper cites IEEE transactions on medical imaging 42(4), 1172–1184 (2022).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit IEEE transactions on medical imaging 42(4), 1172–1184 (2022)

Reference 7

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c4924dbe-da57-452b-b0ca-c36efbca5bff · outbound

This paper cites MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

Reference 8

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Observation ca631a7a-2e8b-4ae9-9c88-f64fe01f364e · outbound

This paper cites A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation

Reference 9

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Observation 02336d10-d581-4fa9-b3bf-d894ff024be0 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 10

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Observation 6a1d43b1-cebf-44ef-b198-331405c3e279 · outbound

This paper cites Medical image analysis 76, 102311 (2022).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Medical image analysis 76, 102311 (2022)

Reference 11

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 11ec8f38-9249-41ab-b42e-ec2348ea1f90 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: International conference on medical image computing and computer-assisted intervention

Reference 12

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ec2ce232-9594-48c3-b586-a7b466e36688 · outbound

This paper cites In: International MICCAI brainlesion workshop.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: International MICCAI brainlesion workshop

Reference 13

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Observation 6c7657da-22e1-4a6b-8a19-d33ef676dad3 · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Nature methods 18(2), 203–211 (2021)

Reference 14

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Observation 1803a4c8-c85f-46b7-b8b2-2bf3542d40cf · outbound

This paper cites In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in 10 A.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in 10 A

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6355b652-c7e0-4fa6-91b4-240444cc1ec5 · outbound

This paper cites nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 16

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Observation a627c0b3-5593-44e1-bba5-a3c755b9b9ec · outbound

This paper cites Nature machine intelligence 5(7), 799–810 (2023).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Nature machine intelligence 5(7), 799–810 (2023)

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fdb26e9c-9558-4d5c-9750-3538b355f018 · outbound

This paper cites Medical image analysis 67, 101851 (2021).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Medical image analysis 67, 101851 (2021)

Reference 18

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Observation 009390cf-9174-4235-bf58-014dd09cc9dd · outbound

This paper cites IEEE Access 9, 157035–157042 (2021).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit IEEE Access 9, 157035–157042 (2021)

Reference 19

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Observation fafb974b-2af2-47eb-b417-8bf5566808a5 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 20

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Observation 962522d4-1443-44dc-9aa0-07a32238339e · outbound

This paper cites IEEE transactions on medical imaging 34(10), 1993–2024 (2014).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit IEEE transactions on medical imaging 34(10), 1993–2024 (2014)

Reference 21

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Observation 4f223ba6-e649-4722-80fd-1b22a71f4201 · outbound

This paper cites Scientific Reports 14(1), 20988 (2024).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Scientific Reports 14(1), 20988 (2024)

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 88187888-f662-494f-afd0-60dc9b1207a1 · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: International Conference on Medical image computing and computer-assisted intervention

Reference 23

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Observation 7b9da280-890b-48d0-9698-121ffa7f3531 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 24

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Observation 3a5ab2c3-2c60-4e18-ae4f-d4e9a2c66166 · outbound

This paper cites Advances in neural information pro- cessing systems 30 (2017).

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit Advances in neural information pro- cessing systems 30 (2017)

Reference 25

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Observation 02d32b74-7415-4a8f-89d8-81f9699f1433 · outbound

This paper cites The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI

Reference 26

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Observation bf6937d6-1565-4497-83f5-dee1b3c3a63c · outbound

This paper cites nnFormer: Interleaved Transformer for Volumetric Segmentation.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 27

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Pith citing papers

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