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Ronald M Summers

Showing results (121-130 of 377) with videos related to

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Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
Radiology. Artificial Intelligence|December 6, 2021
RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working TogetherMarius George Linguraru, Lena Maier-Hein, Ronald M Summers, et al.
Thoracic Surgery Clinics|September 24, 2004
Virtual bronchoscopy for evaluation of airway diseaseSteven E Finkelstein, Ronald M Summers, Dao M Nguyen, et al.
Pattern Recognition Letters|June 16, 2010
Improving Polyp Detection Algorithms for CT Colonography: Pareto Front ApproachAdam Huang, Jiang Li, Ronald M Summers, et al.
Arxiv|February 27, 2024
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative StudyBenjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Academic Radiology|March 22, 2025
Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective StudyAbhinav Suri, Pritam Mukherjee, Nusrat Rabbee, et al.
Arxiv|July 30, 2025
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and TaggingAlexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Radiology. Artificial Intelligence|October 7, 2021
Erratum: Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CTVeit Sandfort, Ke Yan, Peter M Graffy, et al.
IEEE Journal of Biomedical and Health Informatics|May 26, 2017
DeepPap: Deep Convolutional Networks for Cervical Cell ClassificationLing Zhang, Le Lu, Isabella Nogues, et al.
Medical Physics|March 17, 2010
Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimationMarius George Linguraru, Jesse K Sandberg, Zhixi Li, et al.
Pageof 38

Showing results (121-130 of 377) with videos related to

Sort By:
Pageof 38
Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
Radiology. Artificial Intelligence|December 6, 2021
RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working TogetherMarius George Linguraru, Lena Maier-Hein, Ronald M Summers, et al.
Thoracic Surgery Clinics|September 24, 2004
Virtual bronchoscopy for evaluation of airway diseaseSteven E Finkelstein, Ronald M Summers, Dao M Nguyen, et al.
Pattern Recognition Letters|June 16, 2010
Improving Polyp Detection Algorithms for CT Colonography: Pareto Front ApproachAdam Huang, Jiang Li, Ronald M Summers, et al.
Arxiv|February 27, 2024
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative StudyBenjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Academic Radiology|March 22, 2025
Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective StudyAbhinav Suri, Pritam Mukherjee, Nusrat Rabbee, et al.
Arxiv|July 30, 2025
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and TaggingAlexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Radiology. Artificial Intelligence|October 7, 2021
Erratum: Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CTVeit Sandfort, Ke Yan, Peter M Graffy, et al.
IEEE Journal of Biomedical and Health Informatics|May 26, 2017
DeepPap: Deep Convolutional Networks for Cervical Cell ClassificationLing Zhang, Le Lu, Isabella Nogues, et al.
Medical Physics|March 17, 2010
Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimationMarius George Linguraru, Jesse K Sandberg, Zhixi Li, et al.
Pageof 38