Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

6 April 2020

Papers citing "Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19"

50 / 78 papers shown

Title
Robust COVID-19 Detection in CT Images with CLIP Li Lin Yamini Sri Krubha Zhenhuan Yang Cheng Ren Thuc Duy Le Irene Amerini Xin Eric Wang Shu Hu 37 10 0 13 Mar 2024
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention Hao Shao Quansheng Zeng Qibin Hou Jufeng Yang 51 13 0 14 Dec 2023
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography Diedre S. Carmo Jean Ribeiro A. Comellas Joseph M. Reinhardt S. Gerard Letícia Rittner R.A. Lotufo 40 2 0 04 Dec 2023
Automatic segmentation of lung findings in CT and application to Long COVID Diedre S. Carmo R. Tudas A. Comellas Letícia Rittner R.A. Lotufo Joseph M. Reinhardt S. Gerard 35 1 0 13 Oct 2023
Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics Ayyub Alzahem Shahid Latif W. Boulila Anis Koubaa 31 5 0 12 May 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 31 0 0 18 Mar 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search Mehdi Asadi Fatemeh Poursalim Mohammad Loni Masoud Daneshtalab Mikael Sjödin Arash Gharehbaghi 35 7 0 17 Jan 2023
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19 Liansheng Wang Jiacheng Wang Lei Zhu Huazhu Fu Ping Li Gary Cheng Zhipeng Feng Shuo Li Pheng-Ann Heng 40 23 0 10 Nov 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review Harold Brayan Arteaga-Arteaga Melissa delaPava Alejandro Mora-Rubio Mario Alejandro Bravo-Ortíz Jesús Alejandro Alzate-Grisales ... Simon Orozco-Arias M. Hassaballah South Valley University O. Cardona-Morales Valencia OOD 19 1 0 11 Jun 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images A. Chaddad Lama Hassan Christian Desrosiers 43 24 0 04 Jun 2022
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation Yansel Gónzalez Tejeda H. A. Mayer 3DH 19 1 0 24 May 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 3DPC 41 2 0 19 May 2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net Risako Tanigawa Yasunori Ishii Kazuki Kozuka Takayoshi Yamashita 35 1 0 11 May 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 45 48 0 13 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 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 36 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 34 33 0 09 Dec 2021
A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Images H. Nasiri S. A. Alavi 32 79 0 30 Sep 2021
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 35 4 0 30 Sep 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 44 7 0 25 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 32 144 0 09 Jul 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne 33 179 0 28 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 32 8 0 15 Jun 2021
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach Jianxing Zhang Pengcheng Xi Ashkan Ebadi Hilda Azimi Stéphane Tremblay Alexander Wong 28 4 0 04 May 2021
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Abbas Raza Ali M. Budka 27 5 0 29 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images Qiangguo Jin Hui Cui Changming Sun Zhaopeng Meng Leyi Wei R. Su OOD MedIm 46 47 0 20 Apr 2021
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients Faeze Gholamiankhah S. Mostafapour N. Goushbolagh Seyedjafar Shojaerazavi P. Layegh S. Tabatabaei H. Arabi 29 12 0 05 Apr 2021
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation Huimin Huang Ming Cai Lanfen Lin Jing Zheng Xiongwei Mao ... Jianying Zhou Yutaro Iwamoto Xianhua Han Yenwei Chen Ruofeng Tong 28 13 0 07 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 40 54 0 04 Mar 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 24 5 0 27 Feb 2021
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach Shruti Jadon 26 39 0 11 Feb 2021
Diagnosis of COVID-19 and Non-COVID-19 Patients by Classifying Only a Single Cough Sound Mesut Melek 32 42 0 08 Feb 2021
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images Mustafa Hajij Ghada Zamzmi F. Batayneh 27 21 0 21 Jan 2021
Machine learning applications for COVID-19: A state-of-the-art review Firuz Kamalov C. A. Kumar Hana Sulieman F. Thabtah Akbar Hossain OOD 19 6 0 19 Jan 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans Tanvir Mahmud Md. Jahin Alam Sakib Chowdhury Shams Nafisa Ali Md. Maisoon Rahman Shaikh Anowarul Fattah Mohammad Saquib 21 37 0 03 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 59 23 0 31 Dec 2020
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 41 63 0 29 Dec 2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection Hamzeh Asgharnezhad Afshar Shamsi Jokandan R. Alizadehsani Abbas Khosravi S. Nahavandi Z. Sani D. Srinivasan UQCV 41 70 0 22 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images Narinder Singh Punn Sonali Agarwal 37 31 0 13 Dec 2020
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines U. Özkaya Ş. Öztürk Serkan Budak F. Melgani K. Polat 19 23 0 11 Nov 2020
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 T. Tan Bipul Das Ravi Soni Mate Fejes S. Ranjan ... Barbara Darázs P. Tegzes L. Ferenczi R. Mullick Gopal Avinash 11 5 0 10 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 33 1,046 0 02 Nov 2020
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19 P. Vidal J. D. Moura Jorge Novo M. Ortega OOD 24 60 0 30 Oct 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Xuelin Qian Huazhu Fu Weiya Shi Tao Chen Yanwei Fu F. Shan Xiangyang Xue 38 51 0 07 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 21 34 0 01 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 23 114 0 21 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification Zhao Wang Quande Liu Qi Dou OOD 24 162 0 15 Sep 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis Jannis Born Nina Wiedemann G. Brändle Charlotte Buhre Bastian Rieck Karsten Borgwardt 36 45 0 13 Sep 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans Paschalis A. Bizopoulos N. Vretos P. Daras 35 17 0 10 Sep 2020