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Ronald M Summers

Showing results (141-150 of 377) with videos related to

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Academic Radiology|May 26, 2019
A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CTJoseph E Burns, Jianhua Yao, Didier Chalhoub, et al.
Radiology|May 16, 2023
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic AdultsMaxime Nachit, Yves Horsmans, Ronald M Summers, et al.
Arxiv|July 30, 2025
Classification of Multi-Parametric Body MRI Series Using Deep LearningBoah Kim, Tejas Sudharshan Mathai, Kimberly Helm, et al.
IEEE Journal of Biomedical and Health Informatics|August 23, 2024
Classification of Multi-Parametric Body MRI Series Using Deep LearningBoah Kim, Tejas Sudharshan Mathai, Kimberly Helm, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2024
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density priorJianfei Liu, Omid Shafaat, Sayantan Bhadra, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 17, 2022
Deep Small Bowel Segmentation with Cylindrical Topological ConstraintsSeung Yeon Shin, Sungwon Lee, Daniel Elton, et al.
Abdominal Radiology (New York)|April 13, 2019
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohortPeter M Graffy, Jiamin Liu, Stacy O'Connor, et al.
Arxiv|July 30, 2025
Universal Lymph Node Detection in Multiparametric MRI with Selective AugmentationTejas Sudharshan Mathai, Sungwon Lee, Thomas C Shen, et al.
IEEE Transactions on Big Data|May 17, 2021
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical LiteratureYifan Peng, Yuxing Tang, Sungwon Lee, et al.
Radiology|November 1, 2002
Colonic polyps: complementary role of computer-aided detection in CT colonographyRonald M Summers, Anna K Jerebko, Marek Franaszek, et al.
Pageof 38

Showing results (141-150 of 377) with videos related to

Sort By:
Pageof 38
Academic Radiology|May 26, 2019
A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CTJoseph E Burns, Jianhua Yao, Didier Chalhoub, et al.
Radiology|May 16, 2023
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic AdultsMaxime Nachit, Yves Horsmans, Ronald M Summers, et al.
Arxiv|July 30, 2025
Classification of Multi-Parametric Body MRI Series Using Deep LearningBoah Kim, Tejas Sudharshan Mathai, Kimberly Helm, et al.
IEEE Journal of Biomedical and Health Informatics|August 23, 2024
Classification of Multi-Parametric Body MRI Series Using Deep LearningBoah Kim, Tejas Sudharshan Mathai, Kimberly Helm, et al.
International Journal of Computer Assisted Radiology and Surgery|January 17, 2024
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density priorJianfei Liu, Omid Shafaat, Sayantan Bhadra, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 17, 2022
Deep Small Bowel Segmentation with Cylindrical Topological ConstraintsSeung Yeon Shin, Sungwon Lee, Daniel Elton, et al.
Abdominal Radiology (New York)|April 13, 2019
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohortPeter M Graffy, Jiamin Liu, Stacy O'Connor, et al.
Arxiv|July 30, 2025
Universal Lymph Node Detection in Multiparametric MRI with Selective AugmentationTejas Sudharshan Mathai, Sungwon Lee, Thomas C Shen, et al.
IEEE Transactions on Big Data|May 17, 2021
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical LiteratureYifan Peng, Yuxing Tang, Sungwon Lee, et al.
Radiology|November 1, 2002
Colonic polyps: complementary role of computer-aided detection in CT colonographyRonald M Summers, Anna K Jerebko, Marek Franaszek, et al.
Pageof 38