Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

9 November 2020

Papers citing "Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning"

31 / 31 papers shown

Title
Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning A. Martínez OOD 37 12 0 22 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification Zhao Wang Quande Liu Qi Dou OOD 60 164 0 15 Sep 2020
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 46 32 0 10 Sep 2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis Afshar Shamsi Hamzeh Asgharnezhad Shirin Shamsi Jokandan Abbas Khosravi P. Kebria D. Nahavandi S. Nahavandi D. Srinivasan OOD 110 135 0 26 Jul 2020
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images Md. Kamrul Hasan Md. Ashraful Alam M. E. Elahi Shidhartho Roy Sifat Redwan Wahid OOD 48 22 0 21 Jul 2020
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning Shervin Minaee R. Kafieh Milan Sonka Shakib Yazdani G. Soufi 64 830 0 20 Apr 2020
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios R. M. Pereira Diego Bertolini Lucas O. Teixeira C. Silla Yandre M. G. Costa 46 403 0 13 Apr 2020
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images Asif Iqbal Khan Junaid Latief Shah M. Bhat 42 1,080 0 10 Apr 2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images Parnian Afshar Shahin Heidarian F. Naderkhani A. Oikonomou Konstantinos N. Plataniotis Arash Mohammadi MedIm 54 597 0 06 Apr 2020
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs M. Farooq Abdul Hafeez MedIm 40 476 0 31 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 66 1,915 0 25 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 102 2,502 0 22 Mar 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 137 578 0 10 Mar 2020
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 228 996 0 01 Apr 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 171 4,983 0 30 Jul 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,699 0 14 Nov 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 134 6,865 0 04 Jul 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 506 10,318 0 16 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 277 19,981 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,555 0 07 Oct 2016
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 102 676 0 30 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 760 36,781 0 25 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,477 0 24 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 68 4,602 0 10 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 872 27,350 0 02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 450 43,277 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 442 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014
Factors of Transferability for a Generic ConvNet Representation Hossein Azizpour A. Razavian Josephine Sullivan A. Maki S. Carlsson 66 421 0 22 Jun 2014