| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2024―Apr―01 |
An efficient black widow optimization-based faster R-CNN for classification of COVID-19 from CT images |
S. Vani, P. Malathi, V. Jeya Ramya, B. Sriman, M. Saravanan, R. Srivel |
| 2 |
[GO] |
2023―Sep―11 |
Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network |
Noor Ahmed, Ahmad Ali, Abdul Raziq |
| 3 |
[GO] |
2023―Apr―19 |
COVID-SegNet: encoder-decoder-based architecture for COVID-19 lesion segmentation in chest X-ray |
Tarun Agrawal, Prakash Choudhary |
| 4 |
[GO] |
2023―Apr―11 |
Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images |
B. Bhaskar Reddy, M. Venkata Sudhakar, P. Rahul Reddy, P. Raghava Reddy |
| 5 |
[GO] |
2023―Mar―25 |
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works |
Ercan Gürsoy, Yasin Kaya |
| 6 |
[GO] |
2022―Oct―26 |
Learning effective embedding for automated COVID-19 prediction from chest X-ray images |
Sree Ganesh T N, Rishi Satish, Rajeswari Sridhar |
| 7 |
[GO] |
2022―Sep―27 |
Fake COVID-19 videos detector based on frames and audio watermarking |
Nesrine Tarhouni, Salma Masmoudi, Maha Charfeddine, Chokri Ben Amar |
| 8 |
[GO] |
2022―Mar―22 |
A deep learning-based framework for detecting COVID-19 patients using chest X-rays |
Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu |
| 9 |
[GO] |
2022―Jan―29 |
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks |
Huseyin Yaşar, Murat Ceylan |
| 10 |
[GO] |
2022―Jan―18 |
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs |
Hassaan Malik, Tayyaba Anees |
| 11 |
[GO] |
2022―Jan―07 |
A light-weight convolutional Neural Network Architecture for classification of COVID-19 chest X-Ray images |
Mehedi Masud |
| 12 |
[GO] |
2021―Sep―07 |
Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcare |
Kashif Naseer Qureshi, Adi Alhudhaif, Moazam Ali, Maria Ahmed Qureshi, Gwanggil Jeon |
| 13 |
[GO] |
2021―Jul―28 |
A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning |
Ahmed Barnawi, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Mehrez Boulares |
| 14 |
[GO] |
2021―Jul―21 |
Applying deep learning-based multi-modal for detection of coronavirus |
Geeta Rani, Meet Ganpatlal Oza, Vijaypal Singh Dhaka, Nitesh Pradhan, Sahil Verma, Joel J. P. C. Rodrigues |
| 15 |
[GO] |
2021―Jul―13 |
Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends |
Het Shah, Saiyam Shah, Sudeep Tanwar, Rajesh Gupta, Neeraj Kumar |
| 16 |
[GO] |
2021―Jul―06 |
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images |
Vinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, Tuan D. Pham |
| 17 |
[GO] |
2021―May―27 |
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images |
K. Shankar, Eswaran Perumal, Prayag Tiwari, Mohammad Shorfuzzaman, Deepak Gupta |
| 18 |
[GO] |
2021―May―06 |
Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-Poly |
Hari Singh, Seema Bawa |
| 19 |
[GO] |
2021―Apr―28 |
Medical image-based detection of COVID-19 using Deep Convolution Neural Networks |
Loveleen Gaur, Ujwal Bhatia, N. Z. Jhanjhi, Ghulam Muhammad, Mehedi Masud |
| 20 |
[GO] |
2021―Mar―28 |
Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system |
Celestine Iwendi, Kainaat Mahboob, Zarnab Khalid, Abdul Rehman Javed, Muhammad Rizwan, Uttam Ghosh |
