Sala, Evis

1. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
   2021/02/08 by Michael Yeung, Evis Sala, Yeung, Michael +5 · 16 citations
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.4.6 #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Renal and Vascular Pathologies #Retinal Imaging and Analysis #electronic engineering #information engineering
2. Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
   2021/10/31 by Yeung, Michael, Rundo, Leonardo, Nan, Yang +3 · 6 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Optimization and Control (math.OC) #electronic engineering #information engineering
3. MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
   2020/07/24 by Han, Changhee, Rundo, Leonardo, Murao, Kohei +7 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
4. Focus U-Net: A novel dual attention-gated CNN for polyp segmentation\n during colonoscopy
   2021/05/16 by Michael Yeung, Evis Sala, Yeung, Michael +5 · 2 citations
   Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.10 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering