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06/26/2021
Utilizing a digital swarm intelligence platform to improve consensus among radiologists and exploring its applications
Radiologists today play a key role in making diagnostic decisions and la...
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10/30/2020
Adversarial Robust Training in MRI Reconstruction
Deep Learning has shown potential in accelerating Magnetic Resonance Ima...
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04/29/2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
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03/20/2020
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning
Purpose: To evaluate diagnostic utility of two convolutional neural netw...
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02/24/2020
Deep learning predicts total knee replacement from magnetic resonance images
Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the Uni...
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09/10/2019
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Purpose: Hip fractures are a common cause of morbidity and mortality. Au...
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09/09/2019
Adversarial Policy Gradient for Deep Learning Image Augmentation
The use of semantic segmentation for masking and cropping input images h...
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08/10/2019