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Arxiv
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October 1, 2025
How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
Qingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Medical Image Analysis
|
February 21, 2019
Evaluating reinforcement learning agents for anatomical landmark detection
Amir Alansary, Ozan Oktay, Yuanwei Li, et al.
Radiology
|
October 1, 2024
Evaluation of GPT Large Language Model Performance on RSNA 2023 Case of the Day Questions
Pritam Mukherjee, Benjamin Hou, Abhinav Suri, et al.
IEEE Transactions on Medical Imaging
|
April 26, 2019
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, et al.
Abdominal Radiology (New York)
|
November 18, 2025
Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT
Lindsey H Bloom, Tejas Sudharshan Mathai, Bohan Liu, et al.
Arxiv
|
January 13, 2025
Demystifying Large Language Models for Medicine: A Primer
Qiao Jin, Nicholas Wan, Robert Leaman, et al.
Nature Biomedical Engineering
|
February 12, 2026
Generalist foundation models from a multimodal dataset for 3D computed tomography
Ibrahim Ethem Hamamci, Sezgin Er, Chenyu Wang, et al.
IEEE Transactions on Medical Imaging
|
April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images
David Zimmerer, Peter M Full, Fabian Isensee, et al.
Arxiv
|
September 19, 2025
Towards Accountable AI in Eye Disease Diagnosis: Workflow, External Validation, and Development
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron, et al.
JAMA Network Open
|
July 16, 2025
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron, et al.
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Search research articles
Search
Showing results (21-30 of 30) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 30 results.
Arxiv
|
October 1, 2025
How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
Qingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Medical Image Analysis
|
February 21, 2019
Evaluating reinforcement learning agents for anatomical landmark detection
Amir Alansary, Ozan Oktay, Yuanwei Li, et al.
Radiology
|
October 1, 2024
Evaluation of GPT Large Language Model Performance on RSNA 2023 Case of the Day Questions
Pritam Mukherjee, Benjamin Hou, Abhinav Suri, et al.
IEEE Transactions on Medical Imaging
|
April 26, 2019
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Qingjie Meng, Matthew Sinclair, Veronika Zimmer, et al.
Abdominal Radiology (New York)
|
November 18, 2025
Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT
Lindsey H Bloom, Tejas Sudharshan Mathai, Bohan Liu, et al.
Arxiv
|
January 13, 2025
Demystifying Large Language Models for Medicine: A Primer
Qiao Jin, Nicholas Wan, Robert Leaman, et al.
Nature Biomedical Engineering
|
February 12, 2026
Generalist foundation models from a multimodal dataset for 3D computed tomography
Ibrahim Ethem Hamamci, Sezgin Er, Chenyu Wang, et al.
IEEE Transactions on Medical Imaging
|
April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images
David Zimmerer, Peter M Full, Fabian Isensee, et al.
Arxiv
|
September 19, 2025
Towards Accountable AI in Eye Disease Diagnosis: Workflow, External Validation, and Development
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron, et al.
JAMA Network Open
|
July 16, 2025
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron, et al.
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of 3