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Radiology
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May 20, 2025
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun, Kurt Teichman, Yiliang Zhou, et al.
Tomography (Ann Arbor, Mich.)
|
May 26, 2026
Feasibility and Reliability of an Automated Muscle Segmentation Pipeline Linking Thoracic Supine Kyphosis and Trunk Muscle-Fat% on CT
Tianxi Liang, Rian Atri, Sarah Joseph, et al.
Tomography (Ann Arbor, Mich.)
|
July 25, 2023
Clinical Quality Control of MRI Total Kidney Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
Chenglin Zhu, Hreedi Dev, Arman Sharbatdaran, et al.
Radiology. Artificial Intelligence
|
April 8, 2022
Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI
Akshay Goel, George Shih, Sadjad Riyahi, et al.
Tomography (Ann Arbor, Mich.)
|
July 27, 2022
Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
Arman Sharbatdaran, Dominick Romano, Kurt Teichman, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 16, 2023
Effect of Averaging Measurements From Multiple MRI Pulse Sequences on Kidney Volume Reproducibility in Autosomal Dominant Polycystic Kidney Disease
Hreedi Dev, Chenglin Zhu, Arman Sharbatdaran, et al.
Academic Radiology
|
October 5, 2023
Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning
Xinzi He, Zhongxiu Hu, Hreedi Dev, et al.
Radiology Advances
|
October 8, 2025
Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease
Mina Chookhachizadeh Moghadam, Mohit Aspal, Xinzi He, et al.
Biomedicines
|
May 25, 2024
A Primer for Utilizing Deep Learning and Abdominal MRI Imaging Features to Monitor Autosomal Dominant Polycystic Kidney Disease Progression
Chenglin Zhu, Xinzi He, Jon D Blumenfeld, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Radiology
|
May 20, 2025
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun, Kurt Teichman, Yiliang Zhou, et al.
Tomography (Ann Arbor, Mich.)
|
May 26, 2026
Feasibility and Reliability of an Automated Muscle Segmentation Pipeline Linking Thoracic Supine Kyphosis and Trunk Muscle-Fat% on CT
Tianxi Liang, Rian Atri, Sarah Joseph, et al.
Tomography (Ann Arbor, Mich.)
|
July 25, 2023
Clinical Quality Control of MRI Total Kidney Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
Chenglin Zhu, Hreedi Dev, Arman Sharbatdaran, et al.
Radiology. Artificial Intelligence
|
April 8, 2022
Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI
Akshay Goel, George Shih, Sadjad Riyahi, et al.
Tomography (Ann Arbor, Mich.)
|
July 27, 2022
Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
Arman Sharbatdaran, Dominick Romano, Kurt Teichman, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 16, 2023
Effect of Averaging Measurements From Multiple MRI Pulse Sequences on Kidney Volume Reproducibility in Autosomal Dominant Polycystic Kidney Disease
Hreedi Dev, Chenglin Zhu, Arman Sharbatdaran, et al.
Academic Radiology
|
October 5, 2023
Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning
Xinzi He, Zhongxiu Hu, Hreedi Dev, et al.
Radiology Advances
|
October 8, 2025
Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease
Mina Chookhachizadeh Moghadam, Mohit Aspal, Xinzi He, et al.
Biomedicines
|
May 25, 2024
A Primer for Utilizing Deep Learning and Abdominal MRI Imaging Features to Monitor Autosomal Dominant Polycystic Kidney Disease Progression
Chenglin Zhu, Xinzi He, Jon D Blumenfeld, et al.
Page
of 1