3 papers
cs.HC2021
Utilizing a digital swarm intelligence platform to improve consensus among radiologists and exploring its applications
Rutwik Shah, Bruno Astuto, Tyler Gleason +10
Radiologists today play a key role in making diagnostic decisions and labeling images for training A.I. algorithms. Low inter-reader reliability (IRR) can be seen between experts w…
eess.IV2020
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…