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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
March 6, 2024
Detection of abdominopelvic lymph nodes in multi-parametric MRI
Tejas Sudharshan Mathai, Thomas C Shen, Daniel C Elton, et al.
Journal of Endourology
|
June 13, 2023
Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning
Pritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
March 1, 2021
Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value
Perry J Pickhardt, Peter M Graffy, Alberto A Perez, et al.
AJR. American Journal of Roentgenology
|
September 16, 2020
Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard
Perry J Pickhardt, Glen M Blake, Peter M Graffy, et al.
Medical Image Analysis
|
January 20, 2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images
Shuai Wang, Yingying Zhu, Sungwon Lee, et al.
Radiology. Artificial Intelligence
|
October 7, 2022
Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis
Sungwon Lee, Daniel C Elton, Alexander H Yang, et al.
Radiology
|
October 26, 2021
Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly
Alberto A Perez, Victoria Noe-Kim, Meghan G Lubner, et al.
Clinical Imaging
|
June 5, 2024
No code machine learning: validating the approach on use-case for classifying clavicle fractures
Giridhar Dasegowda, James Yuichi Sato, Daniel C Elton, et al.
Tomography (Ann Arbor, Mich.)
|
March 22, 2022
Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment
Sungwon Lee, Daniel C Elton, James L Gulley, et al.
Journal of the American College of Radiology : JACR
|
March 5, 2025
Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality
Karim Yatim, Guilherme T Ribas, Daniel C Elton, et al.
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Showing results (11-20 of 21) with videos related to
Sort By:
Page
of 3
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
March 6, 2024
Detection of abdominopelvic lymph nodes in multi-parametric MRI
Tejas Sudharshan Mathai, Thomas C Shen, Daniel C Elton, et al.
Journal of Endourology
|
June 13, 2023
Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning
Pritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
March 1, 2021
Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value
Perry J Pickhardt, Peter M Graffy, Alberto A Perez, et al.
AJR. American Journal of Roentgenology
|
September 16, 2020
Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard
Perry J Pickhardt, Glen M Blake, Peter M Graffy, et al.
Medical Image Analysis
|
January 20, 2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images
Shuai Wang, Yingying Zhu, Sungwon Lee, et al.
Radiology. Artificial Intelligence
|
October 7, 2022
Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis
Sungwon Lee, Daniel C Elton, Alexander H Yang, et al.
Radiology
|
October 26, 2021
Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly
Alberto A Perez, Victoria Noe-Kim, Meghan G Lubner, et al.
Clinical Imaging
|
June 5, 2024
No code machine learning: validating the approach on use-case for classifying clavicle fractures
Giridhar Dasegowda, James Yuichi Sato, Daniel C Elton, et al.
Tomography (Ann Arbor, Mich.)
|
March 22, 2022
Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment
Sungwon Lee, Daniel C Elton, James L Gulley, et al.
Journal of the American College of Radiology : JACR
|
March 5, 2025
Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality
Karim Yatim, Guilherme T Ribas, Daniel C Elton, et al.
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