| Deep ensemble model for classification of novel coronavirus in chest X-ray images F Ahmad, A Farooq, MU Ghani Computational intelligence and neuroscience 2021, 2021 | 62 | 2021 |
| Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images F Ahmad, MUG Khan, K Javed Computers in biology and medicine 134, 104401, 2021 | 30 | 2021 |
| Identification of Most Relevant Features for Classification of Francisella tularensis using Machine Learning Fare, F Amjad, G Usman, S Zubair, H Masood, Rabbani, Irshad Current bioinformatics 10 (CBIO 15), 2020 | 10* | 2020 |
| Deep learning model for Pathogen Classification using Feature fusion and Data augmentation A Fareed, F Amjad, G Usman Current Bioinformatics 1 (CBIO 16), 2021 | 9 | 2021 |
| Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models MRMZS Fareed Ahmad, Muhammad Usman Ghani Khan , Ahsen Tahir , Muhammad Yasin ... Scientific Reports, 13:29, 2023 | 7 | 2023 |
| Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization FM Fareed Ahmad, Muhammad Usman Ghani Khan, Ahsen Tahir BMC Bioinformatics 24 (273), 2-19, 2023 | 5* | 2023 |
| Detection of Francisella tularensis pathogen in soil using neural networks M Shahbaz, S Parveen, F Ahmad, M Rabbani 20th International Conference on Computer, Electrical, Electronics and …, 2018 | 4 | 2018 |
| Deep Dense Model for Classification of Covid-19 in X-ray Images F Ahmad International Journal of Computer Science and Network Security 22 (1), 429-442, 2022 | 1* | 2022 |
| Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models F Ahmad, K Javed, A Tahir, MUG Khan, M Abbas, M Rabbani, MZ Shabbir Scientific Reports 14 (1), 1743, 2024 | | 2024 |
