| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2023―Jul―04 |
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis |
Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. K. Qin, Yue Wu, Fei Xie |
| 2 |
[GO] |
2022―Dec―29 |
MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation |
Yu Qiu, Yun Liu, Shijie Li, Jing Xu |
| 3 |
[GO] |
2021―Nov―23 |
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation |
Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Ye Li |
| 4 |
[GO] |
2021―Oct―20 |
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images |
Ahmad Chaddad, Lama Hassan, Christian Desrosiers |
| 5 |
[GO] |
2021―Oct―07 |
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images |
Zhijie Lin, Zhaoshui He, Shengli Xie, Xu Wang, Ji Tan, Jun Lu, Beihai Tan |
| 6 |
[GO] |
2021―Sep―21 |
New Insights Into Drug Repurposing for COVID-19 Using Deep Learning |
Chun Yen Lee, Yi-Ping Phoebe Chen |
| 7 |
[GO] |
2021―Aug―09 |
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning |
Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, et al. (+5) Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui |
| 8 |
[GO] |
2021―Jun―18 |
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 |
| 9 |
[GO] |
2021―May―26 |
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection |
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber |
| 10 |
[GO] |
2021―Apr―28 |
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images |
Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Moncef Gabbouj |
| 11 |
[GO] |
2021―Feb―13 |
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis |
Afshar Shamsi, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, et al. (+2) Saeid Nahavandi, Dipti Srinivasan |
| 12 |
[GO] |
2021―Feb―08 |
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images |
Naveen Paluru, Aveen Dayal, Havard Bjorke Jenssen, Tomas Sakinis, Linga Reddy Cenkeramaddi, Jaya Prakash, Phaneendra K. Yalavarthy |
