An Explainable Non-local Network for COVID-19 Diagnosis

8 August 2024

Peng Huang

Shu Hu

Xin Wang

Papers citing "An Explainable Non-local Network for COVID-19 Diagnosis"

26 / 26 papers shown

Title
Robust Fairness Vision-Language Learning for Medical Image Analysis Sparsh Bansal Mingyang Wu Xin Wang S. Hu VLM 99 1 0 06 May 2025
Efficient Image Super-Resolution via Symmetric Visual Attention Network Chengxu Wu Qinrui Fan Shu Hu Xi Wu Xin Wang Jing Hu SupR 63 3 0 17 Jan 2024
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation Yujia Xu Hak-Keung Lam Guangyu Jia Jian Jiang J. Liao Xinqi Bao OOD 83 71 0 09 Aug 2022
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study N. Korucuk C. Polat Emine Selda Gündüz O. Karaman V. Tosun M. Onac N. Yildirim Y. Cete K. Polat 26 3 0 15 Apr 2021
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network Shakib Yazdani Shervin Minaee R. Kafieh N. Saeedizadeh Milan Sonka MedIm 52 32 0 10 Sep 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 108 79 0 25 Jun 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation Yu-Huan Wu Shanghua Gao Jie Mei Jun Xu Deng-Ping Fan Chao Zhao Ming-Ming Cheng 59 379 0 15 Apr 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 135 1,018 0 24 Mar 2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis Ophir Gozes Maayan Frid-Adar H. Greenspan P. Browning Huangqi Zhang W.-B. Ji Adam Bernheim E. Siegel OOD 54 799 0 10 Mar 2020
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 57 218 0 03 Aug 2019
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation Hao Tang Dan Xu N. Sebe Yanzhi Wang Jason J. Corso Yan Yan 91 208 0 15 Apr 2019
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,582 0 17 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 103 4,330 0 08 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 181 1,171 0 19 Jun 2018
Tell Me Where to Look: Guided Attention Inference Network Kunpeng Li Ziyan Wu Kuan-Chuan Peng Jan Ernst Y. Fu 113 532 0 27 Feb 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 289 8,916 0 21 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism Qi Chu Wanli Ouyang Hongsheng Li Xiaogang Wang Bin Liu Nenghai Yu VOT 63 347 0 09 Aug 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 76 1,525 0 11 Apr 2017
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning Long Chen Hanwang Zhang Jun Xiao Liqiang Nie Jian Shao Wei Liu Tat-Seng Chua 75 1,662 0 17 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,070 0 07 Oct 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 121 1,249 0 19 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013