Explainable-by-design Semi-Supervised Representation Learning for
COVID-19 Diagnosis from CT Imaging

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

23 November 2020

Abel Díaz Berenguer

Boris Joukovsky

Maryna Kvasnytsia

Mitchel Alioscha-Pérez

Nikolaos Deligiannis

Panagiotis Gonidakis

Evgenia Papavasileiou

Jonathan Cheung-Wai Chana

Sofie Tilborghs

Dirk Vandermeulen

Tom Kamiel Magda Vercauteren

Jef Vandemeulebroucke

Papers citing "Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging"

3 / 3 papers shown

Title
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 5 0 27 Feb 2021
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review Walid Hariri A. Narin 19 35 0 10 Dec 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi 113 574 0 10 Mar 2020