Paper Citation Record · LEDGER

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge

As of 27 July 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2504.02382.

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

pith.paper-citation-record.v1
2504.02382 v2

Coverage vector

measured 36 of 36 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T22:41:41.098660Z

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

Source: pith, observed 2026-05-20T22:43:51.141254Z

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 9c8e08a5-cd1a-4c00-9dc6-be21c43666b2 · outbound

This paper cites Basics of computer-assisted orthopaedic surgery.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Basics of computer-assisted orthopaedic surgery

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.601864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 3c9c8267-e718-4423-9bd2-d8321f000304 · outbound

This paper cites Computer-assisted orthopaedic surgery and robotic surgery in total hip arthroplasty.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Computer-assisted orthopaedic surgery and robotic surgery in total hip arthroplasty

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.599198Z

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Observation e28d80d9-c52d-465a-900c-e978b40d2a5e · outbound

This paper cites Robot-assisted autonomous reduction of a displaced pelvic fracture: a case report and brief literature review.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Robot-assisted autonomous reduction of a displaced pelvic fracture: a case report and brief literature review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.596196Z

Source-reported events for the cited work

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Observation 3840dcd8-f00b-493b-ab81-12851f73a2c6 · outbound

This paper cites Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Preoperative fracture reduction planning for image-guided pelvic trauma surgery: A comprehensive pipeline with learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.591339Z

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No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 415fed80-d03a-48d6-9e01-786a1ec1d0d3 · outbound

This paper cites Automatic path planning for pelvic fracture reduction with multi-degree-of-freedom.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Automatic path planning for pelvic fracture reduction with multi-degree-of-freedom

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.588401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation d27db7e9-4616-45a4-abe6-363386a85823 · outbound

This paper cites Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.582588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b3497ec2-8b00-4b19-9135-8d5fc737c747 · outbound

This paper cites Automatic intraoperative CT-CBCT registration for image-guided pelvic fracture reduction.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Automatic intraoperative CT-CBCT registration for image-guided pelvic fracture reduction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.576075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 51a8371e-fe21-4a02-ada3-e51383f3c76f · outbound

This paper cites DeepDRR–a catalyst for machine learning in fluoroscopy- guided procedures.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge DeepDRR–a catalyst for machine learning in fluoroscopy- guided procedures

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.572368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 7f99d0ab-a2ca-4e51-a901-b2f92569bcd4 · outbound

This paper cites Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:55:11.217708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 82fb4937-99de-4b78-9e44-cb47e93bfa46 · outbound

This paper cites Assessing the performance of models from the 2022 RSNA cervical spine fracture detection competition at a level i trauma center.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Assessing the performance of models from the 2022 RSNA cervical spine fracture detection competition at a level i trauma center

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.486891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 7ad9de05-231c-4cf4-bf86-7366fe1d2fad · outbound

This paper cites Fractured bone detection challenge.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fractured bone detection challenge

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.491519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 17ebc0aa-7aa7-44f6-a3e0-dce7e5a7a3fb · outbound

This paper cites Fully automatic and fast segmen- tation of the femur bone from 3D-CT images with no shape prior.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fully automatic and fast segmen- tation of the femur bone from 3D-CT images with no shape prior

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.568990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 5dc9d5da-4d09-4b05-b126-3a0f79f15667 · outbound

This paper cites Recognition and segmen- tation of individual bone fragments with a deep learning approach in CT scans of complex intertrochanteric fractures: a retrospective study.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Recognition and segmen- tation of individual bone fragments with a deep learning approach in CT scans of complex intertrochanteric fractures: a retrospective study

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.565521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 61dff6b1-bcdb-4b29-851e-2ef7bf9b5372 · outbound

This paper cites Automatic segmentation of inconstant fractured fragments for tibia/fibula from CT images using deep learning.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Automatic segmentation of inconstant fractured fragments for tibia/fibula from CT images using deep learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.561451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 3577e645-88ff-4174-8b32-3cd5acaa02a1 · outbound

This paper cites Accu- racy and reliability analysis of a machine learning based segmentation tool for intertrochanteric femoral fracture CT.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Accu- racy and reliability analysis of a machine learning based segmentation tool for intertrochanteric femoral fracture CT

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.522400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 070ce5c1-63d4-49dc-9b06-b0b616153a42 · outbound

This paper cites Pelvic fracture segmentation using a multi-scale distance-weighted neural network.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Pelvic fracture segmentation using a multi-scale distance-weighted neural network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.526010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 009602d1-687f-4e61-9567-341573e51591 · outbound

This paper cites Fragment distance- guided dual-stream learning for automatic pelvic fracture segmentation.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fragment distance- guided dual-stream learning for automatic pelvic fracture segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.604906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 9d55b4d6-f0c2-470f-ab85-3c4a4bb97160 · outbound

This paper cites Synergistically segmenting and reducing fracture bones via whole-to- whole deep dense matching.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Synergistically segmenting and reducing fracture bones via whole-to- whole deep dense matching

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.557829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation f637a8b0-aa91-4804-8a20-2b6dba79182d · outbound

This paper cites A survey of fracture detection techniques in bone X-ray images.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge A survey of fracture detection techniques in bone X-ray images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.579216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 8778195a-622a-475d-accc-dad70c14ed2c · outbound

This paper cites Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.529250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 583da98b-69b0-43f6-af76-7366e0f1da45 · outbound

This paper cites Osteoporotic vertebral fracture classification in X-rays based on a multi-modal semantic consistency network.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Osteoporotic vertebral fracture classification in X-rays based on a multi-modal semantic consistency network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.551035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation dc43b9f3-ce18-4d70-9aed-058a4ec2936b · outbound

This paper cites Analysis on leg bone fracture detection and classification using X-ray images.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Analysis on leg bone fracture detection and classification using X-ray images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.545876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 6dd64e39-2c14-4766-99cd-f74e937e37e6 · outbound

This paper cites Local- entropy based approach for X-ray image segmentation and fracture detection.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Local- entropy based approach for X-ray image segmentation and fracture detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.519175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation e83fe45c-d408-4772-b5cb-071e5245aca6 · outbound

This paper cites Fracture detection in wrist X- ray images using deep learning-based object detection models.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fracture detection in wrist X- ray images using deep learning-based object detection models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.554543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 1d11626e-44c8-4db0-83e9-9f2077c57d8d · outbound

This paper cites Deep learning-based localization and segmentation of wrist fractures on X-ray radiographs.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Deep learning-based localization and segmentation of wrist fractures on X-ray radiographs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.536572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 86238b95-d83b-42ba-8f79-6ac476e45b4e · outbound

This paper cites The impact of implementing backbone architectures on fracture segmentation in X-ray images.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge The impact of implementing backbone architectures on fracture segmentation in X-ray images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.540519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 02b07d3f-ba47-4fef-9879-72fd87c4a6be · outbound

This paper cites Deep-learning-based pelvic automatic segmentation in pelvic fractures.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Deep-learning-based pelvic automatic segmentation in pelvic fractures

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.515856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation e76d646b-d846-45c1-af6f-58ebbb408519 · outbound

This paper cites Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.532364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 86f303b9-99b7-4dc2-918f-594fe333ae6e · outbound

This paper cites Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Deep learning to segment pelvic bones: large-scale CT datasets and baseline models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.479368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 946eb588-debb-40a9-b846-3751bd7b3ada · outbound

This paper cites Synthetic data accelerates the development of gen- eralizable learning-based algorithms for X-ray image analysis.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Synthetic data accelerates the development of gen- eralizable learning-based algorithms for X-ray image analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.475397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 35393b0b-75ec-4a9a-ac7d-aaa537fafb3e · outbound

This paper cites Mitigating bias in radiology machine learning: 3. performance metrics.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Mitigating bias in radiology machine learning: 3. performance metrics

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.471890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 1070cade-8024-430c-977d-75a6b21a8f45 · outbound

This paper cites Totalsegmen- tator: robust segmentation of 104 anatomic structures in CT images.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Totalsegmen- tator: robust segmentation of 104 anatomic structures in CT images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.585628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 4e516542-dbc9-482d-9754-b87fec91d547 · outbound

This paper cites Methods and open-source toolkit for analyzing and visualizing challenge results.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Methods and open-source toolkit for analyzing and visualizing challenge results

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.505179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 5506cecc-9d16-42c2-837d-119e652232cf · outbound

This paper cites Pose estimation of pe- riacetabular osteotomy fragments with intraoperative X-ray navigation.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Pose estimation of pe- riacetabular osteotomy fragments with intraoperative X-ray navigation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.511263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 26a49d09-b7cf-4785-b9d7-ef96209c713b · outbound

This paper cites Fracformer: Fracture reduction planning with transformer-based shape restoration and fracture data simulation.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Fracformer: Fracture reduction planning with transformer-based shape restoration and fracture data simulation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.495149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 2b049a2d-f46d-497d-b4f1-95f100f3167e · outbound

This paper cites Epidemiology and burden of pelvic fractures: Results from the global burden of disease study 2019.

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge Epidemiology and burden of pelvic fractures: Results from the global burden of disease study 2019

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T21:55:11.483224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Pith citing papers

Observation 41e3138e-5691-4e59-8117-c06f91178731 · inbound

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation cites this paper.

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:43:51.143743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.