Paper Citation Record · LEDGER

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2411.14017.

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

pith.paper-citation-record.v1
2411.14017 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:41:49.881396Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:47.446836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:16:17.926450Z

Reference resolution

24 of 24 outbound references displayed

verified exact8
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c8a9db1-96a7-4e5f-a3cf-47ca1f63143a · outbound

This paper cites Clinical and Translational Oncology 19(8):931–944.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Clinical and Translational Oncology 19(8):931–944

Reference 1

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.989399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea5011e5-5436-4dc5-906a-98ba98a787d3 · outbound

This paper cites Advanced Biomedical Research 4:4.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Advanced Biomedical Research 4:4

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T15:41:50.214726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9de0c0c5-10db-4e70-9716-32cf49cc2a52 · outbound

This paper cites Neurosurgery 62(4):753.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Neurosurgery 62(4):753

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.821006Z

Source-reported events for the cited work

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Observation fb4dbbaf-8068-4a49-962a-b552e9eb9074 · outbound

This paper cites Journal of Neuroimaging 27(1):5–15.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Journal of Neuroimaging 27(1):5–15

Reference 4

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.980998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f880ef2-551e-48e7-a764-d2642b152f69 · outbound

This paper cites Journal of Neuro-Oncology 167(3):387–396.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Journal of Neuro-Oncology 167(3):387–396

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.827713Z

Source-reported events for the cited work

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Observation 90d2e24b-281d-4977-9aaa-68749962fef0 · outbound

This paper cites phdthesis, Universit´ e Grenoble Alpes [2020-....] ; Vanderbilt university (Nashville, Tennessee).

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations phdthesis, Universit´ e Grenoble Alpes [2020-....] ; Vanderbilt university (Nashville, Tennessee)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.283118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80c92ae5-78de-4858-b801-cb6dbf0f3891 · outbound

This paper cites Springer Nature Switzerland, Cham, https://doi.org/10.1007/978-3-031-27324-7.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Springer Nature Switzerland, Cham, https://doi.org/10.1007/978-3-031-27324-7

Reference 7

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.968091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc0996ad-3718-4d97-92cc-eeefae3e64d8 · outbound

This paper cites In: Xiao Y, Yang G, Song S (eds) Lesion Segmen- tation in Surgical and Diagnostic Applications.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations In: Xiao Y, Yang G, Song S (eds) Lesion Segmen- tation in Surgical and Diagnostic Applications

Reference 8

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T15:41:50.274833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d4e955e-63d1-4a0f-bd15-c3a5940708b8 · outbound

This paper cites Medical Physics 44(7):3875–3882.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Medical Physics 44(7):3875–3882

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.839423Z

Source-reported events for the cited work

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Observation a9683322-8bc3-45a9-85d5-936b721ef591 · outbound

This paper cites RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.842287Z

Source-reported events for the cited work

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Observation b2c79ecd-21cb-4ad0-884c-93fa35bd8799 · outbound

This paper cites Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.266662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9cfe457-1682-42f7-be91-1fbf0d6628e1 · outbound

This paper cites https://doi.org/10.1101/2023.09.14.23295596, pages: 2023.09.14.23295596.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations https://doi.org/10.1101/2023.09.14.23295596, pages: 2023.09.14.23295596

Reference 12

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.947545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0db5a2f-65c3-4a4e-91fa-459b4af14946 · outbound

This paper cites Scientific Reports 13(1):15570.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Scientific Reports 13(1):15570

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.939263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b2bb477-06b9-4636-bca9-075dc1ec68e7 · outbound

This paper cites https://curious2022.grand-challenge.org/.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations https://curious2022.grand-challenge.org/

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.257801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04dbe32f-107f-4c15-9d53-1aa5016e31cd · outbound

This paper cites Neurosurgery 47(6):1373–1379; discussion 1379–1380.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Neurosurgery 47(6):1373–1379; discussion 1379–1380

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.249159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f54c3ae-a4dc-40d5-a84f-644fb2f27c65 · outbound

This paper cites International Journal of Computer Assisted Radiology and Surgery 11(4):505–519.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations International Journal of Computer Assisted Radiology and Surgery 11(4):505–519

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.931103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f76fc7df-c7af-46dc-b322-bd610dbcf5f4 · outbound

This paper cites https://www.kreftregisteret.no/en/The-Registries/clinical-registries/ Quality-registry-for-brain-tumours/.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations https://www.kreftregisteret.no/en/The-Registries/clinical-registries/ Quality-registry-for-brain-tumours/

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.240903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c86b278-0345-4cc7-bb93-98b01c67ec64 · outbound

This paper cites https://www.imfusion.com/ products/imfusion-suite.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations https://www.imfusion.com/ products/imfusion-suite

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.232716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eed56a53-00a9-42b2-8d6a-2dafe94f41ce · outbound

This paper cites In: Crimi A, Bakas S (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations In: Crimi A, Bakas S (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.921468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 574ae9c5-926d-4978-978e-500b8a7db841 · outbound

This paper cites Magnetic Resonance Imaging 30(9):1323–1341.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Magnetic Resonance Imaging 30(9):1323–1341

Reference 20

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Source-reported events for the cited work

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Observation ba796168-9ee1-45f6-9a96-3d2b57f58663 · outbound

This paper cites Routledge, https://doi.org/https://doi.org/10.4324/9780203771587 13.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Routledge, https://doi.org/https://doi.org/10.4324/9780203771587 13

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.873360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ce7a7c-4a07-499d-8c3f-dfc85c347082 · outbound

This paper cites Journal of Modern Applied Statistical Methods https://doi.org/https://doi.org/10.56801/10.56801/v8.i.452.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Journal of Modern Applied Statistical Methods https://doi.org/https://doi.org/10.56801/10.56801/v8.i.452

Reference 22

Resolution: verified exact; doi, observed 2026-08-12T15:41:49.903081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c719b49a-f14a-4f83-b753-140fa7363a48 · outbound

This paper cites Medical Image Analysis 96:103202.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Medical Image Analysis 96:103202

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:49.878783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c97301-bbcf-4073-8efe-a1c1e3db5ef6 · outbound

This paper cites Acta Neurochirurgica 166(1):317.

Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations Acta Neurochirurgica 166(1):317

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:41:50.222956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation de7e8cd7-67f5-490f-a70a-740582c813f7 · inbound

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room cites this paper.

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:53:47.642768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.