most citedAdversarial Robust Training of Deep Learning MRI Reconstruction Models

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eess.IV2020★ 3 cited

Adversarial Robust Training of Deep Learning MRI Reconstruction Models

Francesco Calivá, Kaiyang Cheng, Rutwik Shah +1

Deep Learning (DL) has shown potential in accelerating Magnetic Resonance Image acquisition and reconstruction. Nevertheless, there is a dearth of tailored methods to guarantee tha…

eess.IV2020

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning with MRI Images

Nikan K. Namiri, Io Flament, Bruno Astuto +6

Purpose: To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for severity staging of anterior cruciate ligament (ACL) injuries. Materials and Methods: Th…