MedVision: Benchmarking Quantitative Medical Image Analysis | Paper Citation Record

Observation 9e3b84fa-5fd3-4308-9d59-86a145bba6da · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.392777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a8b1d0-92a3-4bde-aafd-59b0b33a6ffd · outbound

This paper cites A” and “L.

MedVision: Benchmarking Quantitative Medical Image Analysis A” and “L

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.485421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18dda54-016c-49e4-8f34-a17cb9c0e38f · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MedVision: Benchmarking Quantitative Medical Image Analysis Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.561280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4fcfe8d-e87a-4632-b6f2-169be77fd945 · outbound

This paper cites Qwen2.5-VL Technical Report.

MedVision: Benchmarking Quantitative Medical Image Analysis Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.608636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad9a0d4c-3d70-42be-982d-57a6bc345f19 · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.788478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae37741-f052-4fc9-9b80-e8613964b443 · outbound

This paper cites Vqa-med: Overview of the medical visual question answering task at imageclef 2019.

MedVision: Benchmarking Quantitative Medical Image Analysis Vqa-med: Overview of the medical visual question answering task at imageclef 2019

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.922200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 280c2dd2-28da-45af-94b0-a3245adf7ebf · outbound

This paper cites Overview of the vqa-med task at imageclef 2021: Visual question answer- ing and generation in the medical domain.

MedVision: Benchmarking Quantitative Medical Image Analysis Overview of the vqa-med task at imageclef 2021: Visual question answer- ing and generation in the medical domain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:35.988155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 904e47dc-1296-4abf-8aa4-8c2a6e338cd2 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?IEEE transactions on medical imaging, 37 (11):2514–2525, 2018.

MedVision: Benchmarking Quantitative Medical Image Analysis Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?IEEE transactions on medical imaging, 37 (11):2514–2525, 2018

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.073478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5874279-0574-42be-9d3f-db6e3ab2a1ac · outbound

This paper cites Making the most of text semantics to improve biomedical vision–language processing.

MedVision: Benchmarking Quantitative Medical Image Analysis Making the most of text semantics to improve biomedical vision–language processing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.262547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db398e29-dcdc-4daa-ac17-3bf8f752ff2a · outbound

This paper cites Segmenting the inferior alveolar canal in cbcts volumes: the toothfairy challenge.IEEE Transactions on Medical Imaging, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Segmenting the inferior alveolar canal in cbcts volumes: the toothfairy challenge.IEEE Transactions on Medical Imaging, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.344958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbb1d16-eddf-4b38-bc83-7de8a2aa136c · outbound

This paper cites Segmenting max- illofacial structures in cbct volumes.

MedVision: Benchmarking Quantitative Medical Image Analysis Segmenting max- illofacial structures in cbct volumes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.451472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7b6998-109a-4fda-8df9-f4e0bdff4c0b · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

MedVision: Benchmarking Quantitative Medical Image Analysis CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.625946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7de7e2-5dab-401b-b80f-b2fe5aa5b3c1 · outbound

This paper cites Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.712772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d00353-0de4-49dd-b8e7-ba5e627fa43f · outbound

This paper cites Adolescent idiopathic scoliosis.Nature re- views disease primers, 1(1):1–21, 2015.

MedVision: Benchmarking Quantitative Medical Image Analysis Adolescent idiopathic scoliosis.Nature re- views disease primers, 1(1):1–21, 2015

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:36.838042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4557e8be-5ba2-4506-b94b-c9e80d7b6d98 · outbound

This paper cites Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K.

MedVision: Benchmarking Quantitative Medical Image Analysis Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.022247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd43cb9-6a51-423b-be86-c7de4da3ec5e · outbound

This paper cites SKM-TEA: A dataset for accelerated MRI reconstruction with dense image labels for quantitative clinical evaluation.

MedVision: Benchmarking Quantitative Medical Image Analysis SKM-TEA: A dataset for accelerated MRI reconstruction with dense image labels for quantitative clinical evaluation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.086269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409de7b9-915f-4ed8-afbe-5868c9c6bfa3 · outbound

This paper cites The proposed ninth edition tnm classification of lung cancer.

MedVision: Benchmarking Quantitative Medical Image Analysis The proposed ninth edition tnm classification of lung cancer

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.211210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 614f403a-b73b-416c-9471-d6b0cec8e149 · outbound

This paper cites Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P.

MedVision: Benchmarking Quantitative Medical Image Analysis Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.297699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f107880e-2b2a-444e-a306-116878dbc7be · outbound

This paper cites New response evaluation criteria in solid tumours: re- vised recist guideline (version 1.1).European journal of can- cer, 45(2):228–247, 2009.

MedVision: Benchmarking Quantitative Medical Image Analysis New response evaluation criteria in solid tumours: re- vised recist guideline (version 1.1).European journal of can- cer, 45(2):228–247, 2009

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.369491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a117d242-ce9f-49ba-95df-962aeb440fac · outbound

This paper cites Gsco: Towards generalizable ai in medicine via generalist-specialist collaboration, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Gsco: Towards generalizable ai in medicine via generalist-specialist collaboration, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.466647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02327859-2b1e-409a-8109-b6a85c470ee1 · outbound

This paper cites Pathvqa: 30000+ questions for medical visual question answering, 2020.

MedVision: Benchmarking Quantitative Medical Image Analysis Pathvqa: 30000+ questions for medical visual question answering, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.524032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269d0c31-848e-4cec-bfda-fe5d8971e50b · outbound

This paper cites Dense biased networks with deep priori anatomy and hard region adaptation: Semi- supervised learning for fine renal artery segmentation.Med- ical image analysis, 63:101722, 2020.

MedVision: Benchmarking Quantitative Medical Image Analysis Dense biased networks with deep priori anatomy and hard region adaptation: Semi- supervised learning for fine renal artery segmentation.Med- ical image analysis, 63:101722, 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.585925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd69289-a305-4bce-b2da-352697476527 · outbound

This paper cites Meta grayscale adaptive network for 3d integrated renal structures segmen- tation.Medical image analysis, 71:102055, 2021.

MedVision: Benchmarking Quantitative Medical Image Analysis Meta grayscale adaptive network for 3d integrated renal structures segmen- tation.Medical image analysis, 71:102055, 2021

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.639984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7eb438-af8b-4434-bfc3-52afaf8ea736 · outbound

This paper cites The kits21 chal- lenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase ct, 2023.

MedVision: Benchmarking Quantitative Medical Image Analysis The kits21 chal- lenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase ct, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.763373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c49802-d0f7-4304-bb02-7802b4abe9bc · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

MedVision: Benchmarking Quantitative Medical Image Analysis Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.820366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c37c67-917d-4df0-aad9-c3d85db73521 · outbound

This paper cites Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm.

MedVision: Benchmarking Quantitative Medical Image Analysis Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.881433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6304e0-8c48-4e33-ae23-7e5ae1bb27a4 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

MedVision: Benchmarking Quantitative Medical Image Analysis Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:37.991097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532935b8-5235-4080-a81a-6394c6b63576 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.Ad- vances in neural information processing systems, 35:36722– 36732, 2022.

MedVision: Benchmarking Quantitative Medical Image Analysis Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.Ad- vances in neural information processing systems, 35:36722– 36732, 2022

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.064656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59192bb0-0fe6-40e5-ae01-c52bfa94179d · outbound

This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019.

MedVision: Benchmarking Quantitative Medical Image Analysis Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.145890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0f144c-3750-43c2-b057-fac0d96f5365 · outbound

This paper cites Explaining chest x-ray pathologies in natural language.

MedVision: Benchmarking Quantitative Medical Image Analysis Explaining chest x-ray pathologies in natural language

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.384429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d160d9a-7afa-4650-aa59-6ba89b1df17e · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.581374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f46899-b981-49cc-bf1c-ca727ea31998 · outbound

This paper cites Cleveland, Raman- deep Kang, Uma M.

MedVision: Benchmarking Quantitative Medical Image Analysis Cleveland, Raman- deep Kang, Uma M

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.697444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c6a4b4-058e-4777-a525-45516fcdb8ce · outbound

This paper cites A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018.

MedVision: Benchmarking Quantitative Medical Image Analysis A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.824215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaba8f2a-bd57-4dd7-94d8-48b124db4deb · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE transac- tions on medical imaging, 38(9):2198–2210, 2019.

MedVision: Benchmarking Quantitative Medical Image Analysis Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE transac- tions on medical imaging, 38(9):2198–2210, 2019

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:38.981646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d4f277-0de0-4e92-98f9-95628d2c0ac3 · outbound

This paper cites Llava-onevision: Easy visual task transfer, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Llava-onevision: Easy visual task transfer, 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.125387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef30494-3760-4974-abca-862ed6463758 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

MedVision: Benchmarking Quantitative Medical Image Analysis LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.251972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d6e28ed-02d6-4cd4-8fc9-dce934efcfa8 · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.418508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246efb2c-dbc6-4ee8-b80a-df6738ff81ed · outbound

This paper cites Healthgpt: A medical large vision- language model for unifying comprehension and generation via heterogeneous knowledge adaptation, 2025.

MedVision: Benchmarking Quantitative Medical Image Analysis Healthgpt: A medical large vision- language model for unifying comprehension and generation via heterogeneous knowledge adaptation, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.535054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d6807d8-f99c-482f-851c-2dce782f58e5 · outbound

This paper cites Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments, 2023.

MedVision: Benchmarking Quantitative Medical Image Analysis Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments, 2023

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.657668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2ce65c-e317-44d5-829b-daeb22215ad1 · outbound

This paper cites Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms.Scien- tific reports, 6(1):33581, 2016.

MedVision: Benchmarking Quantitative Medical Image Analysis Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms.Scien- tific reports, 6(1):33581, 2016

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.729301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87463c50-8397-419b-a2d3-8f25d6f9b8a4 · outbound

This paper cites Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering,.

MedVision: Benchmarking Quantitative Medical Image Analysis Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.789624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac828e9-992d-4072-aa5a-a876ef8b0416 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

MedVision: Benchmarking Quantitative Medical Image Analysis Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.858473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042bb30e-c2fa-40ea-be59-971e893fb62a · outbound

This paper cites Enhancing patch-based learning for the segmentation of the mandibular canal.IEEE Access, 12: 79014–79024, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Enhancing patch-based learning for the segmentation of the mandibular canal.IEEE Access, 12: 79014–79024, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:39.922263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dfee2a4-21a1-49ed-a40e-7961c015b19c · outbound

This paper cites Abdomenct-1k: Is abdominal organ segmentation a solved problem?IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6695–6714, 2022.

MedVision: Benchmarking Quantitative Medical Image Analysis Abdomenct-1k: Is abdominal organ segmentation a solved problem?IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6695–6714, 2022

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.075260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d374732a-08ef-4c5b-8fdf-8f853ca5eed1 · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.122907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f81e5d9-8c6b-460d-aebe-699691f12fb1 · outbound

This paper cites Fetal brain tissue annotation and segmentation challenge re- sults.Medical image analysis, 88:102833, 2023.

MedVision: Benchmarking Quantitative Medical Image Analysis Fetal brain tissue annotation and segmentation challenge re- sults.Medical image analysis, 88:102833, 2023

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.188534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867d35ad-0f4b-4153-98df-7b01c7ae5e1d · outbound

This paper cites Steiner, Can Kir- 11 mizibayrak, Rory Pilgrim, Daniel Golden, and Lin Yang.

MedVision: Benchmarking Quantitative Medical Image Analysis Steiner, Can Kir- 11 mizibayrak, Rory Pilgrim, Daniel Golden, and Lin Yang

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.229561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db73976-b4f0-49cb-9852-2ebc15eee493 · outbound

This paper cites Laparoscopic partial nephrectomy with segmental renal artery clamping: technique and clinical outcomes.European urology, 59(5):849–855, 2011.

MedVision: Benchmarking Quantitative Medical Image Analysis Laparoscopic partial nephrectomy with segmental renal artery clamping: technique and clinical outcomes.European urology, 59(5):849–855, 2011

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.277999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4edf9056-53c4-4a7e-bcc0-388f2d47cfae · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.339433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aece074-740e-4069-bd50-f9b92385bcec · outbound

This paper cites MedICaT: A Dataset of Medical Images, Captions, and Textual References.

MedVision: Benchmarking Quantitative Medical Image Analysis MedICaT: A Dataset of Medical Images, Captions, and Textual References

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.460404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7ee1f8-dbe0-4228-b61a-c558114a3501 · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.532414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5c0fa1-3a72-44d2-b823-89bbaf67c1f5 · outbound

This paper cites Lingshu: A generalist foun- dation model for unified multimodal medical understanding and reasoning, 2025.

MedVision: Benchmarking Quantitative Medical Image Analysis Lingshu: A generalist foun- dation model for unified multimodal medical understanding and reasoning, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.641802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3f9c4e-3cf1-446d-8769-dd343fe23226 · outbound

This paper cites To- talsegmentator: robust segmentation of 104 anatomic struc- tures in ct images.Radiology: Artificial Intelligence, 5(5): e230024, 2023.

MedVision: Benchmarking Quantitative Medical Image Analysis To- talsegmentator: robust segmentation of 104 anatomic struc- tures in ct images.Radiology: Artificial Intelligence, 5(5): e230024, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.694703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b535fe92-fd47-4a18-96c7-5eb8a6df222b · outbound

This paper cites Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data.

MedVision: Benchmarking Quantitative Medical Image Analysis Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.753834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48efac4e-4d5c-44f4-bbde-5611ad26519f · outbound

This paper cites an unresolved cited work.

MedVision: Benchmarking Quantitative Medical Image Analysis Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:40.879503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c583e6f-c185-4e42-911a-6ace8a9a8d2d · outbound

This paper cites Quantifying knee car- tilage shape and lesion: From image to metrics.

MedVision: Benchmarking Quantitative Medical Image Analysis Quantifying knee car- tilage shape and lesion: From image to metrics

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.034358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4091fcbf-3b9b-49a0-85cf-bae0f1121ca9 · outbound

This paper cites Cartimorph: A framework for au- tomated knee articular cartilage morphometrics.Medical Im- age Analysis, 91:103035, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Cartimorph: A framework for au- tomated knee articular cartilage morphometrics.Medical Im- age Analysis, 91:103035, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.112725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc8bc24-7e9d-473f-9760-d52b23ce22a5 · outbound

This paper cites Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai.Advances in Neural Information Processing Systems, 37: 94327–94427, 2024.

MedVision: Benchmarking Quantitative Medical Image Analysis Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai.Advances in Neural Information Processing Systems, 37: 94327–94427, 2024

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.303293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d86985b-7463-470f-8999-c6727ce08657 · outbound

This paper cites Drvd-bench: Do vision- language models reason like human doctors in medical im- age diagnosis?, 2025.

MedVision: Benchmarking Quantitative Medical Image Analysis Drvd-bench: Do vision- language models reason like human doctors in medical im- age diagnosis?, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.420864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2efbf6-2486-43d8-8eaa-2e7d00bb0b4d · outbound

This paper cites Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025.

MedVision: Benchmarking Quantitative Medical Image Analysis Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.577654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acde893-05eb-4485-8efd-c286dce509d9 · outbound

This paper cites Hospedales.

MedVision: Benchmarking Quantitative Medical Image Analysis Hospedales

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T20:43:41.739518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers