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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2023―Dec―27 |
A Diagnostic Report Supervised Deep Learning Model Training Strategy for Diagnosis of COVID-19 |
Shiqi Deng, Xing Zhang, Shancheng Jiang |
| 2 |
[GO] |
2023―Jun―01 |
Momentum contrast Transformer for COVID-19 diagnosis with knowledge distillation |
Jian Liu, Aimei Dong, Guodong Zhang, Zhonghe Wei, Guohua Lv, Yi Zhai |
| 3 |
[GO] |
2022―Nov―15 |
COVID-19 and Rumors: A Dynamic Nested Optimal Control Model |
Ibrahim M. Hezam, Abdulkarem Almshnanah, Ahmed A. Mubarak, Amrit Das, Abdelaziz Foul, Adel Fahad Alrasheedi |
| 4 |
[GO] |
2022―Aug―09 |
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based |
Chaodong Fan, Zhenhuan Zeng, Leyi Xiao, Xilong Qu |
| 5 |
[GO] |
2022―Jul―18 |
COVID-19 Contact Tracking by Group Activity Trajectory Recovery Over Camera Networks |
Chao Wang, XiaoChen Wang, Zhongyuan Wang, WenQian Zhu, Ruimin Hu |
| 6 |
[GO] |
2022―Jun―07 |
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images |
Ajay Sharma, Pramod Kumar Mishra |
| 7 |
[GO] |
2022―May―14 |
The CP-ABM Approach for Modelling COVID-19 Infection Dynamics and Quantifying the Effects of Non-Pharmaceutical Interventions |
Aleksandar Novakovic, Adele H Marshall |
| 8 |
[GO] |
2022―Apr―06 |
Expecting Individuals’ Body Reaction to Covid-19 Based On Statistical Naïve Bayes Technique |
Asmaa H. Rabie, Nehal A. Mansour, Ahmed I. Saleh, Ali E. Takieldeen |
| 9 |
[GO] |
2022―Mar―15 |
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath |
Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Luigi Moretti, Giuseppe Pirlo |
| 10 |
[GO] |
2022―Jan―19 |
Contour-enhanced Attention CNN for CT-based COVID-19 Segmentation |
Dr. R. Karthik, Dr. R. Menaka, Dr. Deahon Won |
| 11 |
[GO] |
2021―Dec―12 |
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for COVID-19 Diagnosis and Severity Assessment |
Guoqing Bao, Huai Chen, Tongliang Liu, Guanzhong Gong, Yong Yin, Lisheng Wang, Xiuying Wang |
| 12 |
[GO] |
2021―Nov―25 |
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images |
Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan |
| 13 |
[GO] |
2021―Oct―26 |
Fitbeat: COVID-19 Estimation Based on Wristband Heart Rate Using a Contrastive Convolutional Auto-Encoder |
Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Amos A Folarin, Richard JB Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Björn Schuller, RADAR-CNS Consortium |
| 14 |
[GO] |
2021―Oct―26 |
Big Data Directed Acyclic Graph Model for Real-time COVID-19 Twitter Stream Detection |
Bakhtiar Amen, Syahirul Faiz, Thanh-Toan Do |
| 15 |
[GO] |
2021―Aug―30 |
AI-based Human Audio Processing for COVID-19: A Comprehensive Overview |
Gauri Deshpande, Anton Batliner, Björn W. Schuller |
| 16 |
[GO] |
2021―Aug―26 |
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays |
Angelica I. Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis |
| 17 |
[GO] |
2021―Aug―25 |
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network |
Aayush Kumar, Ayush R Tripathi, Suresh Chandra Satapathy, Yu-Dong Zhang |
| 18 |
[GO] |
2021―Aug―21 |
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images |
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal |
| 19 |
[GO] |
2021―Aug―13 |
Efficient COVID-19 testing via contextual compressive sensing |
Mehdi Hasaninasab, Mohammad Khansari |
| 20 |
[GO] |
2021―Aug―09 |
Pareto Optimization of Deep Networks for COVID-19 Diagnosis from Chest X-rays |
Valerio Guarrasi, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda |
| 21 |
[GO] |
2021―Jul―22 |
A Unified Hierarchical XGBoost Model for Classifying Priorities for COVID-19 Vaccination Campaign |
Luca Romeo, Emanuele Frontoni |
| 22 |
[GO] |
2021―Jul―11 |
Progressive Global Perception and Local Polishing Network for Lung Infection Segmentation of COVID-19 CT Images |
Nan Mu, Hongyu Wang, Yu Zhang, Jingfeng Jiang, Jinshan Tang |
| 23 |
[GO] |
2021―Jul―07 |
Deep Neural Networks Ensemble to detect COVID-19 from CT Scans |
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 24 |
[GO] |
2021―Jun―16 |
Accurate Detection of COVID-19 Patients Based on Distance Biased Naïve Bayes (DBNB) Classification Strategy |
Warda M. Shaban, Asmaa H. Rabie, Ahmed I. Saleh, M.A. Abo-Elsoud |
| 25 |
[GO] |
2021―Jun―10 |
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images |
Shixuan Zhao, Zhidan Li, Yang Chen, Wei Zhao, Xingzhi Xie, Jun Liu, Di Zhao, Yongjie Li |
| 26 |
[GO] |
2021―Jun―04 |
COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network |
Yuqi Fan, Jiahao Liu, Ruixuan Yao, Xiaohui Yuan |
| 27 |
[GO] |
2021―Jun―02 |
Lung Segmentation and Automatic Detection of COVID-19 Using Radiomic Features from Chest CT Images |
Chen Zhao, Yan Xu, Zhuo He, Jinshan Tang, Yijun Zhang, Jungang Han, Yuxin Shi, Weihua Zhou |
| 28 |
[GO] |
2021―May―21 |
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies |
Weronika Hryniewska, Przemysaw Bombiski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemysaw Biecek |
| 29 |
[GO] |
2021―May―13 |
Joint Segmentation and Detection of COVID-19 via a Sequential Region Generation Network |
Jipeng Wu, Shengchuan Zhang, Xi Li, Jie Chen, Haibo Xu, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji |
| 30 |
[GO] |
2021―May―06 |
Periphery-aware COVID-19 Diagnosis with Contrastive Representation Enhancement |
Junlin Hou, Jilan Xu, Longquan Jiang, Shanshan Du, Rui Feng, Yuejie Zhang, Fei Shan, Xiangyang Xue |
| 31 |
[GO] |
2021―Apr―24 |
Detection of COVID-19 from Speech signal using bio-inspired based Cepstral features |
Tusar Kanti Dash, Soumya Mishra, Ganapati Panda, Suresh Chandra Satapathy |
| 32 |
[GO] |
2021―Jan―26 |
Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19 |
Jinpeng Li, Gangming Zhao, Yaling Tao, Penghua Zhai, Hao Chen, Huiguang He, Ting Cai |
| 33 |
[GO] |
2021―Jan―18 |
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images |
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang |
| 34 |
[GO] |
2021―Jan―18 |
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images |
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen |
| 35 |
[GO] |
2020―Nov―02 |
Automatic COVID-19 Lung Infected Region Segmentation and Measurement Using CT-Scans Images |
Adel OULEFKI, Sos AGAIAN, Thaweesak TRONGTIRAKUL, Azzeddine KASSAH LAOUAR |
| 36 |
[GO] |
2020―Oct―17 |
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients |
Mohammad Shorfuzzaman, M. Shamim Hossain |
| 37 |
[GO] |
2020―Aug―26 |
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays |
Zheng Wang, Ying Xiao, Yong Li, Jie Zhang, Fanggen Lu, Muzhou Hou, Xiaowei Liu |
