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Arxiv
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June 21, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
Qingqing Zhu, Xiuying Chen, Qiao Jin, et al.
Arxiv
|
March 26, 2024
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
David C Oluigbo, Bikash Santra, Tejas Sudharshan Mathai, et al.
Diabetes
|
July 9, 2026
Utility of Pancreatic Perivascular Adipose Tissue as a CT Imaging Biomarker for Diagnosing Type 2 Diabetes
Anisa V Prasad, Tejas Sudharshan Mathai, Praveen T S Balamuralikrishna, et al.
JCO Clinical Cancer Informatics
|
July 15, 2021
Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans
Rajesh P Shah, Heather M Selby, Pritam Mukherjee, et al.
Journal of Biomedical Informatics
|
June 27, 2025
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses
Qingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Nature Machine Intelligence
|
April 1, 2021
A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data
Pritam Mukherjee, Mu Zhou, Edward Lee, et al.
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.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
August 22, 2019
Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics
Philippe Bulens, Alice Couwenberg, Martijn Intven, 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.
Arxiv
|
July 30, 2025
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, et al.
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Search research articles
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Showing results (51-60 of 66) with videos related to
Sort By:
Page
of 7
Arxiv
|
June 21, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
Qingqing Zhu, Xiuying Chen, Qiao Jin, et al.
Arxiv
|
March 26, 2024
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
David C Oluigbo, Bikash Santra, Tejas Sudharshan Mathai, et al.
Diabetes
|
July 9, 2026
Utility of Pancreatic Perivascular Adipose Tissue as a CT Imaging Biomarker for Diagnosing Type 2 Diabetes
Anisa V Prasad, Tejas Sudharshan Mathai, Praveen T S Balamuralikrishna, et al.
JCO Clinical Cancer Informatics
|
July 15, 2021
Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans
Rajesh P Shah, Heather M Selby, Pritam Mukherjee, et al.
Journal of Biomedical Informatics
|
June 27, 2025
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses
Qingqing Zhu, Benjamin Hou, Tejas Sudarshan Mathai, et al.
Nature Machine Intelligence
|
April 1, 2021
A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data
Pritam Mukherjee, Mu Zhou, Edward Lee, et al.
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.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
August 22, 2019
Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics
Philippe Bulens, Alice Couwenberg, Martijn Intven, 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.
Arxiv
|
July 30, 2025
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, et al.
Page
of 7