Paper Citation Record · LEDGER

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.00434.

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

pith.paper-citation-record.v1
2506.00434 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:40.597146Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy14
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 317893bc-d366-4647-b76a-fcd1f578ae13 · outbound

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

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 1

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Source-reported events for the cited work

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Observation 2f84ea3c-7cd9-431f-9900-fdfe19d7f1ac · outbound

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

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Scientific data 4(1), 1–13 (2017)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:37.584996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 085d6775-2b46-4ce7-a2c5-df54e1389cf5 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 3

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Source-reported events for the cited work

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Observation be684e5f-abbd-4ae6-83d2-f5bcd76c0140 · outbound

This paper cites Med3D: Transfer Learning for 3D Medical Image Analysis.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Med3D: Transfer Learning for 3D Medical Image Analysis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:37.810760Z

Source-reported events for the cited work

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Observation 78fc43d4-3f75-4610-9cda-e83bb269470a · outbound

This paper cites In: 2009 IEEE CVPR.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: 2009 IEEE CVPR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:45.788113Z

Source-reported events for the cited work

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Observation bd2c3bbd-f0c3-47a2-8c57-26abdb834018 · outbound

This paper cites In: International MICCAI Brainlesion Workshop.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: International MICCAI Brainlesion Workshop

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:45.465077Z

Source-reported events for the cited work

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Observation d95c2927-085b-4f77-9e02-975249f640c1 · outbound

This paper cites In: Proceedings of the IEEE ICCV.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: Proceedings of the IEEE ICCV

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:45.115136Z

Source-reported events for the cited work

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Observation 862ccc2b-e6a8-4878-9a0d-d10484b2b69d · outbound

This paper cites In: Proceedings of the IEEE CVPR.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: Proceedings of the IEEE CVPR

Reference 8

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Observation 517fb025-ae1e-44d1-a45f-7e7148a89b79 · outbound

This paper cites In: Proceedings of the IEEE CVPR.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: Proceedings of the IEEE CVPR

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:44.936402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9ecf64d-d35a-44a3-ba60-1704c170bbbb · outbound

This paper cites Nature methods18(2), 203–211 (2021).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Nature methods18(2), 203–211 (2021)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:38.744525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c86f1a-aa99-4748-968e-aa5bd1719dbd · outbound

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

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:44.622975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b83a3c49-1391-4107-beb5-469dff3e290f · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:08:44.359758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16a98862-3ff1-4ad6-965c-9e37224704cc · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:08:44.046473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 957ca370-1533-4b79-9c2f-50d044b2c490 · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1132dc8-dcb4-40f8-b21a-2f3771c630d4 · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:08:43.463515Z

Source-reported events for the cited work

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Observation 29cd3c43-9f08-4d07-b4cb-9d48cd6c364b · outbound

This paper cites In: In- ternational MICCAI Brainlesion Workshop.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: In- ternational MICCAI Brainlesion Workshop

Reference 16

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Observation fb50180f-955e-4578-9ade-310ebdb2d574 · outbound

This paper cites IEEE TMI34(10), 1993–2024 (Oct 2015).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding IEEE TMI34(10), 1993–2024 (Oct 2015)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:43.006208Z

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Observation bccd07a2-9f44-48c6-a710-b6fb365d84d3 · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 18

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Observation ed0e02f8-1ee1-450b-8b19-400cf9e9fd58 · outbound

This paper cites In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:42.560132Z

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Observation 51dc8537-1d2b-4b86-a1e2-cb705d07d8b2 · outbound

This paper cites In: MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18

Reference 20

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Observation 4b0b6611-d236-4b92-9bb7-84d177f24073 · outbound

This paper cites Communications Engineering2(1), 23 (2023).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Communications Engineering2(1), 23 (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:42.031847Z

Source-reported events for the cited work

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Observation 0d61841d-4df1-4ea0-8640-07979c5de10b · outbound

This paper cites IEEE TIP30, 3113–3126 (2021).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding IEEE TIP30, 3113–3126 (2021)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:41.397575Z

Source-reported events for the cited work

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Observation c96af5f5-c4ab-4995-ba62-e68d126e6597 · outbound

This paper cites In: MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I 24.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding In: MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I 24

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:41.653660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d71f05d6-f25c-40e0-bc2f-4a3613bf472d · outbound

This paper cites Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution

Reference 24

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Source-reported events for the cited work

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Observation c7b2b57c-866e-4c95-aa43-f584cd392f66 · outbound

This paper cites IEEE JBHI25(8), 3009–3018 (2021).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding IEEE JBHI25(8), 3009–3018 (2021)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:41.125560Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f75b0041-97c6-4df8-be78-f1e00f8ec8f3 · outbound

This paper cites Medical image analysis67, 101840 (2021).

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Medical image analysis67, 101840 (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:40.974843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0c2466c-9c57-4dc5-90c3-d2f3797ef8d4 · outbound

This paper cites an unresolved cited work.

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:08:42.307350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.