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Akshay Chaudhari

Showing results (11-20 of 30) with videos related to

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AJR. American Journal of Roentgenology|May 29, 2024
Applications of Artificial Intelligence for Pediatric Cancer ImagingShashi B Singh, Amir H Sarrami, Sergios Gatidis, et al.
Magma (New York, N.Y.)|December 25, 2019
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee painJana Kemnitz, Christian F Baumgartner, Felix Eckstein, et al.
Radiology|February 4, 2025
Foundation Models in Radiology: What, How, Why, and Why NotMagdalini Paschali, Zhihong Chen, Louis Blankemeier, et al.
AJR. American Journal of Roentgenology|March 4, 2026
Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of ModelsDavid B Larson, Jason A Poff, Sriyesh Krishnan, et al.
Scientific Reports|November 5, 2024
Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohortAnders Lenskjold, Mathias W Brejnebøl, Martin H Rose, et al.
Radiology|April 29, 2025
Best Practices for Large Language Models in RadiologyChristian Bluethgen, Dave Van Veen, Cyril Zakka, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Non-parametric prediction of brain MRI microstructure using transfer learningGustavo Chau Loo Kung, Emmanuelle M M Weber, Ankita Batra, et al.
Cartilage|September 9, 2021
Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep LearningKevin A Thomas, Dominik Krzemiński, Łukasz Kidziński, et al.
Skeletal Radiology|September 18, 2025
Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mappingLaura Carretero-Gómez, Florian Wiesinger, Maggie Fung, et al.
European Radiology|May 16, 2021
Non-contrast MRI of synovitis in the knee using quantitative DESSJacob Thoenen, Kathryn J Stevens, Tom D Turmezei, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
AJR. American Journal of Roentgenology|May 29, 2024
Applications of Artificial Intelligence for Pediatric Cancer ImagingShashi B Singh, Amir H Sarrami, Sergios Gatidis, et al.
Magma (New York, N.Y.)|December 25, 2019
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee painJana Kemnitz, Christian F Baumgartner, Felix Eckstein, et al.
Radiology|February 4, 2025
Foundation Models in Radiology: What, How, Why, and Why NotMagdalini Paschali, Zhihong Chen, Louis Blankemeier, et al.
AJR. American Journal of Roentgenology|March 4, 2026
Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of ModelsDavid B Larson, Jason A Poff, Sriyesh Krishnan, et al.
Scientific Reports|November 5, 2024
Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohortAnders Lenskjold, Mathias W Brejnebøl, Martin H Rose, et al.
Radiology|April 29, 2025
Best Practices for Large Language Models in RadiologyChristian Bluethgen, Dave Van Veen, Cyril Zakka, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Non-parametric prediction of brain MRI microstructure using transfer learningGustavo Chau Loo Kung, Emmanuelle M M Weber, Ankita Batra, et al.
Cartilage|September 9, 2021
Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep LearningKevin A Thomas, Dominik Krzemiński, Łukasz Kidziński, et al.
Skeletal Radiology|September 18, 2025
Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mappingLaura Carretero-Gómez, Florian Wiesinger, Maggie Fung, et al.
European Radiology|May 16, 2021
Non-contrast MRI of synovitis in the knee using quantitative DESSJacob Thoenen, Kathryn J Stevens, Tom D Turmezei, et al.
Pageof 3