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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2024―Jan―26 |
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review |
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan M. Gorriz |
| 2 |
[GO] |
2023―Mar―08 |
Multi-weight Susceptible-Infected Model for Predicting COVID-19 in China |
Jun Zhang, Nanning Zheng, Mingyu Liu, Dingyi Yao, Yusong Wang, Jianji Wang, Jingmin Xin |
| 3 |
[GO] |
2023―Jan―12 |
Towards an ML-Based Semantic IoT for Pandemic Management: A Survey of Enabling Technologies for COVID-19 |
Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Haythem El Messiry, Ahmed Al-Gindy |
| 4 |
[GO] |
2022―Dec―09 |
Learning Label Diffusion Maps for Semi-Automatic Segmentation of Lung CT Images with COVID-19 |
Aldimir Bruzadin, Maurílio Boaventura, Marilaine Colnago, Rogério Galante Negri, Wallace Casaca |
| 5 |
[GO] |
2022―Sep―08 |
Deep Learning for Covid-19 Forecasting: state-of-the-art review. |
Firuz Kamalov, Khairan Rajab, Aswani Cherukuri, Ashraf Elnagar, Murodbek Safaraliev |
| 6 |
[GO] |
2022―Jun―23 |
A Semi-Supervised Learning Approach for COVID-19 Detection from Chest CT Scans |
Yong Zhang, Li Su, Zhenxing Liu, Wei Tan, Yinuo Jiang, Cheng Cheng |
| 7 |
[GO] |
2022―Feb―16 |
Multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID-19 using pristine ground-truth, versus radiologists |
Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K.S. Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darazs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash |
| 8 |
[GO] |
2022―Feb―10 |
Comparison and Ensemble of 2D and 3D Approaches for COVID-19 Detection in CT Images |
Sara Atito Ali Ahmed, Mehmet Can Yavuz, Mehmet Umut Sen, Fatih Gulsen, Onur Tutar, Bora Korkmazer, Cesur Samanci, Sabri Şirolu, Rauf Hamid, Ali Ergun Eryürekli, Toghrul Mammadov, Berrin Yanikoglu |
| 9 |
[GO] |
2022―Jan―21 |
A Fuzzy-enhanced Deep Learning Approach for Early Detection of Covid-19 Pneumonia from Portable Chest X-Ray Images |
Cosimo Ieracitano, Nadia Mammone, Mario Versaci, Giuseppe Varone, Abder-Rahman Ali, Antonio Armentano, Grazia Calabrese, Anna Ferrarelli, Lorena Turano, Carmela Tebala, Zain Hussain, Zakariya Sheikh, Aziz Sheikh, Giuseppe Sceni, Amir Hussain, Francesco Carlo Morabito |
| 10 |
[GO] |
2021―Oct―22 |
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic |
César Quilodrán-Casas, Vinicius L.S. Silva, Rossella Arcucci, Claire E. Heaney, YiKe Guo, Christopher C. Pain |
| 11 |
[GO] |
2021―Oct―20 |
Time series predicting of COVID-19 based on deep learning |
Madini O. Alassafi, Mutasem Jarrah, Reem Alotaibi |
| 12 |
[GO] |
2021―Jun―16 |
Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data |
Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi |
| 13 |
[GO] |
2021―Jun―07 |
Deep Supervised Learning Using Self-Adaptive Auxiliary Loss for COVID-19 Diagnosis from Imbalanced CT Images |
Kai Hu, Yingjie Huang, Wei Huang, Hui Tan, Zhineng Chen, Zheng Zhong, Xuanya Li, Yuan Zhang, Xieping Gao |
| 14 |
[GO] |
2021―Mar―19 |
MANet: A Two-stage Deep Learning Method for Classification of COVID-19 from Chest X-ray Images |
Yujia Xu, Hak-Keung Lam, Guangyu Jia |
| 15 |
[GO] |
2020―Dec―30 |
ResGNet-C: A graph convolutional neural network for detection of COVID-19 |
Xiang Yu, Siyuan Lu, Lili Guo, Shui-Hua Wang, Yu-Dong Zhang |
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