49 citations · 142 across the 12 of their papers we have counts for
5 papers · 1 filter
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan, Yan Yan, Milan Sonka +1
Deep AUC Maximization (DAM) is a new paradigm for learning a deep neural network by maximizing the AUC score of the model on a dataset. Most previous works of AUC maximization focu…
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network
Shakib Yazdani, Shervin Minaee, Rahele Kafieh +2
The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of man…
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net
Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh +2
The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of man…
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network
Zhihui Guo, Honghai Zhang, Zhi Chen +5
Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR) images is essential for developing quantitative biomarkers for muscular disease progre…
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
Shervin Minaee, Rahele Kafieh, Milan Sonka +2
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the cru…