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Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes
|
January 28, 2026
Best of Both Worlds: Deep Learning Reconstruction Reduces MRI Acquisition Time and Improves Image Quality
Linda C Chu
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 13, 2017
Invited Commentary on "CT Texture Analysis"
Linda C Chu
AJR. American Journal of Roentgenology
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November 8, 2023
Editorial Comment: Redefining the Skeletal Muscle Index and Sarcopenia
Linda C Chu
AJR. American Journal of Roentgenology
|
March 17, 2021
Beyond the <i>AJR</i>: "Prediction of Abdominal Aortic Aneurysm Growth Using Geometric Assessment of Computerised Tomography Images Acquired During the Aneurysm Surveillance Period"
Sahar Soleimani, Linda C Chu
Radiology
|
September 3, 2024
Amplifying Research in <i>Radiology</i>: The Podcast Effect
Refky Nicola, Linda C Chu
Journal of Computer Assisted Tomography
|
July 11, 2025
Commentary: Foreword From the Guest Editors: Section on Artificial Intelligence
Angela Tong, Linda C Chu
Radiology
|
September 6, 2022
Artificial Intelligence Outperforms Radiologists for Pancreatic Cancer Lymph Node Metastasis Prediction at CT
Linda C Chu, Elliot K Fishman
The Lancet. Digital Health
|
December 17, 2020
Deep learning for pancreatic cancer detection: current challenges and future strategies
Linda C Chu, Elliot K Fishman
Journal of the American College of Radiology : JACR
|
November 3, 2023
Radiologists Should Be Compensated for Participation in Multidisciplinary Conferences
Erin N Gomez, Linda C Chu
Diagnostic and Interventional Imaging
|
July 26, 2025
Volumetric tumor burden and liquid biopsy metrics as emerging biomarkers in solid cancer
Steven P Rowe, Linda C Chu
Page
of 25
Search research articles
Search
Showing results (1-10 of 242) with videos related to
Sort By:
Page
of 25
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes
|
January 28, 2026
Best of Both Worlds: Deep Learning Reconstruction Reduces MRI Acquisition Time and Improves Image Quality
Linda C Chu
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 13, 2017
Invited Commentary on "CT Texture Analysis"
Linda C Chu
AJR. American Journal of Roentgenology
|
November 8, 2023
Editorial Comment: Redefining the Skeletal Muscle Index and Sarcopenia
Linda C Chu
AJR. American Journal of Roentgenology
|
March 17, 2021
Beyond the <i>AJR</i>: "Prediction of Abdominal Aortic Aneurysm Growth Using Geometric Assessment of Computerised Tomography Images Acquired During the Aneurysm Surveillance Period"
Sahar Soleimani, Linda C Chu
Radiology
|
September 3, 2024
Amplifying Research in <i>Radiology</i>: The Podcast Effect
Refky Nicola, Linda C Chu
Journal of Computer Assisted Tomography
|
July 11, 2025
Commentary: Foreword From the Guest Editors: Section on Artificial Intelligence
Angela Tong, Linda C Chu
Radiology
|
September 6, 2022
Artificial Intelligence Outperforms Radiologists for Pancreatic Cancer Lymph Node Metastasis Prediction at CT
Linda C Chu, Elliot K Fishman
The Lancet. Digital Health
|
December 17, 2020
Deep learning for pancreatic cancer detection: current challenges and future strategies
Linda C Chu, Elliot K Fishman
Journal of the American College of Radiology : JACR
|
November 3, 2023
Radiologists Should Be Compensated for Participation in Multidisciplinary Conferences
Erin N Gomez, Linda C Chu
Diagnostic and Interventional Imaging
|
July 26, 2025
Volumetric tumor burden and liquid biopsy metrics as emerging biomarkers in solid cancer
Steven P Rowe, Linda C Chu
Page
of 25