A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

27 April 2020

Papers citing "A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images"

15 / 15 papers shown

Title
A design of Convolutional Neural Network model for the Diagnosis of the COVID-19 Xinyuan Song OOD 36 0 0 10 Nov 2023
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 29 4 0 09 Sep 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 19 0 0 27 Apr 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Asifullah Khan Dr. Saddam Hussain Khan Mahrukh Saif Asiya Batool A. Sohail Muhammad Waleed Khan 19 48 0 13 Feb 2022
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 33 49 0 24 Jun 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 45 77 0 24 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 16 315 0 15 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 22 54 0 04 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 21 124 0 02 Mar 2021
COVID-19 Classification of X-ray Images Using Deep Neural Networks Elisha Goldstein Daphna Keidar Daniel Yaron Y. Shachar Ayelet Blass ... N. Bogot A. Grubstein N. Shabshin Yishai M. Elyada Yonina C. Eldar 15 66 0 03 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 13 114 0 21 Sep 2020
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans Abdullah Tarek Farag A. A. El-Wahab Mahmoud Nada M. A. El-Hakeem Omar Sayed Mahmoud Reem Khaled Rashwan Ahmad El-Sallab 21 5 0 05 Aug 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 11 37 0 08 Jun 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 86 1,012 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 69 1,761 0 24 Mar 2020