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Radiology
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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.
Nature Communications
|
February 7, 2025
Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity
Perry J Pickhardt, Michael W Kattan, Matthew H Lee, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
December 5, 2024
Comparison of sequential multi-detector CT and cone-beam CT perfusion maps in 39 subjects with anterior circulation acute ischemic stroke due to a large vessel occlusion
John W Garrett, Kelly Capel, Laura Eisenmenger, et al.
AJR. American Journal of Roentgenology
|
August 24, 2022
Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer
Matthew H Lee, Silas G Pickhardt, John W Garrett, 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.
Radiology
|
September 24, 2020
Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence
Ran Zhang, Xin Tie, Zhihua Qi, et al.
Journal of Imaging Informatics in Medicine
|
December 2, 2025
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification
Xue Li, Jameson Merkow, Noel C F Codella, et al.
Biorxiv : the Preprint Server for Biology
|
February 16, 2026
Tumor-Derived Polyamines Initiate Fat Wasting in Cancer Cachexia
Matias Fabregat, Rachel J Fenske, Julia K Hansen, et al.
Nature Communications
|
July 7, 2023
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
Ayis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
Nature Communications
|
June 6, 2024
Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
Ayis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
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of 7
Search research articles
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Showing results (51-60 of 62) with videos related to
Sort By:
Page
of 7
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.
Nature Communications
|
February 7, 2025
Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity
Perry J Pickhardt, Michael W Kattan, Matthew H Lee, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
December 5, 2024
Comparison of sequential multi-detector CT and cone-beam CT perfusion maps in 39 subjects with anterior circulation acute ischemic stroke due to a large vessel occlusion
John W Garrett, Kelly Capel, Laura Eisenmenger, et al.
AJR. American Journal of Roentgenology
|
August 24, 2022
Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer
Matthew H Lee, Silas G Pickhardt, John W Garrett, 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.
Radiology
|
September 24, 2020
Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence
Ran Zhang, Xin Tie, Zhihua Qi, et al.
Journal of Imaging Informatics in Medicine
|
December 2, 2025
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification
Xue Li, Jameson Merkow, Noel C F Codella, et al.
Biorxiv : the Preprint Server for Biology
|
February 16, 2026
Tumor-Derived Polyamines Initiate Fat Wasting in Cancer Cachexia
Matias Fabregat, Rachel J Fenske, Julia K Hansen, et al.
Nature Communications
|
July 7, 2023
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
Ayis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
Nature Communications
|
June 6, 2024
Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs
Ayis Pyrros, Stephen M Borstelmann, Ramana Mantravadi, et al.
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of 7