Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

13 April 2020

Papers citing "Deep Learning COVID-19 Features on CXR using Limited Training Data Sets"

48 / 48 papers shown

Title
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures Luis Lara Lucia Eve Berger Rajesh Raju ViT 37 0 0 23 Feb 2025
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics Francesco Prinzi C. Militello Calogero Zarcaro T. Bartolotta Salvatore Gaglio Salvatore Vitabile 26 1 0 26 Apr 2024
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review A. Ezugwu O. N. Oyelade A. M. Ikotun Jeffery O. Agushaka Y. Ho 37 17 0 15 Apr 2023
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images Bouthaina Slika Fadi Dornaika H. Merdji K. Hammoudi ViT MedIm 26 0 0 18 Mar 2023
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images S. Suba N. Parekh MedIm 30 0 0 28 Dec 2022
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT S. Das Sushmita Mitra B. Uma Shankar 17 3 0 23 Dec 2022
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism Yu Jing Zixuan Li 21 0 0 15 Nov 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 35 25 0 23 Jul 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers Idil Aytekin Onat Dalmaz Kaan Gonc H. Ankishan E. Saritas Ulas Bagci H. Celik Tolga Çukur 22 12 0 19 Jul 2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window Qiuli Wang Xin Tan Chen Liu 26 0 0 08 Jun 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images A. Chaddad Lama Hassan Christian Desrosiers 38 24 0 04 Jun 2022
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis Chenglong Wang Yun-Hui Liu Feng-Liang Wang Chengxiu Zhang Yida Wang Mei Yuan Guangze Yang 20 4 0 08 Apr 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer Xuan Xu Joseph Bae Chaoyu Chen Prateek Prasanna MedIm 36 15 0 02 Mar 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 31 73 0 23 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images Qinghao Ye Yuan Gao Weiping Ding Z. Niu Chengjia Wang ... Minhao Wang E. Fang Wade Menpes-Smith Jun Xia Guang Yang OOD 31 33 0 09 Dec 2021
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review Rubaiyat Hossain Mondal Subrato Bharati Prajoy Podder 27 56 0 28 Oct 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 39 7 0 25 Jul 2021
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects Mahmoud M. Nasr Md. Milon Islam Shady Shehata Fakhri Karray Yuri Quintana 37 84 0 24 Jun 2021
Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks Chayan Mondal Md. Kamrul Hasan Md. Tasnim Jawad Aishwariya Dutta M. Islam Md. Abdul Awal Mohiudding Ahmad 31 23 0 09 May 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 53 97 0 15 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 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 24 316 0 15 Mar 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 38 33 0 12 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 35 54 0 04 Mar 2021
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection Shunjie Dong Qianqian Yang Yu Fu Mei Tian Cheng Zhuo OOD 25 42 0 22 Feb 2021
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability D. Nguyen F. Kay Jun Tan Yulong Yan Y. Ng P. Iyengar R. Peshock Steve B. Jiang OOD 21 26 0 18 Feb 2021
Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images E. H. Houssein Z. Abohashima M. Elhoseny W. M. Mohamed 40 71 0 08 Feb 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 134 64 0 13 Jan 2021
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders K. B. Ahmed Lawrence Hall Dmitry Goldgof Gregory M. Goldgof Rahul Paul 16 3 0 08 Jan 2021
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies Weronika Hryniewska Przemysław Bombiński P. Szatkowski Paulina Tomaszewska A. Przelaskowski P. Biecek OOD 32 47 0 11 Dec 2020
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
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach Julián D. Arias-Londoño J. Gómez-García Laureano Moro Velázquez Juan Ignacio Godino-Llorente 37 78 0 29 Nov 2020
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks K. Dev Sunder Ali Khowaja A. Bist V. Saini Surbhi Bhatia 30 29 0 01 Nov 2020
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection Zhi Qiao Austin Bae Lucas Glass Cao Xiao Jimeng Sun 39 30 0 30 Oct 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review Shahabedin Nabavi Azar Ejmalian M. Moghaddam A. A. Abin Alejandro F. Frangi M. Mohammadi H. S. Rad 16 34 0 01 Oct 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19) Md. Milon Islam Fakhri Karray R. Alhajj Jia Zeng 27 216 0 09 Aug 2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images Aakarsh Malhotra S. Mittal P. Majumdar S. Chhabra K. Thakral Mayank Vatsa Richa Singh S. Chaudhury Ashwin Pudrod A. Agrawal 27 60 0 03 Aug 2020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions Thanh Thi Nguyen Quoc Viet Hung Nguyen Dung Tien Nguyen Samuel Yang Peter W. Eklund Thien Huynh-The Thanh Tam Nguyen Quoc-Viet Pham Imran Razzak Edbert B. Hsu 36 190 0 30 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images Mahesh Gour Sweta Jain 8 37 0 22 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 32 11 0 09 Jun 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 19 37 0 08 Jun 2020
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images Anas Tahir Yazan Qiblawey Amith Khandakar Tawsifur Rahman U. Khurshid F. Musharavati M. T. Islam S. Kiranyaz M. Chowdhury 25 49 0 23 May 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks Narinder Singh Punn Sonali Agarwal 15 191 0 23 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao 11 962 0 22 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 88 1,013 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 80 1,762 0 24 Mar 2020