| Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture A Rehman, MA Khan, T Saba, Z Mehmood, U Tariq, N Ayesha Microscopy Research and Technique 84 (1), 133-149, 2020 | 309 | 2020 |
| Brain tumor detection and multi‐classification using advanced deep learning techniques T Sadad, A Rehman, A Munir, T Saba, U Tariq, N Ayesha, R Abbasi Microscopy research and technique 84 (6), 1296-1308, 2021 | 204 | 2021 |
| Lung cancer detection and classification from chest CT scans using machine learning techniques A Rehman, M Kashif, I Abunadi, N Ayesha 2021 1st International Conference on Artificial Intelligence and Data …, 2021 | 60 | 2021 |
| Deep learning-based COVID-19 detection using CT and X-ray images: Current analytics and comparisons A Rehman, T Saba, U Tariq, N Ayesha IT professional 23 (3), 63-68, 2021 | 58 | 2021 |
| A comparison of two-stage classifier algorithm with ensemble techniques on detection of diabetic retinopathy AT Nagi, MJ Awan, R Javed, N Ayesha 2021 1st International Conference on Artificial Intelligence and Data …, 2021 | 55 | 2021 |
| Deep learning approach to diagnose Alzheimer’s disease through magnetic resonance images MF Ahmad, S Akbar, SAE Hassan, A Rehman, N Ayesha 2021 International Conference on Innovative Computing (ICIC), 1-6, 2021 | 24 | 2021 |
| An automated deep learning approach to diagnose glaucoma using retinal fundus images A Shoukat, S Akbar, SAE Hassan, A Rehman, N Ayesha 2021 international conference on frontiers of information technology (FIT …, 2021 | 19 | 2021 |
| Hybrid machine learning model to predict chronic kidney diseases using handcrafted features for early health rehabilitation A Rehman, T Saba, H Ali, N Elhakim, N Ayesha Turkish Journal of Electrical Engineering and Computer Sciences 31 (6), 951-968, 2023 | 7 | 2023 |
| Glaucoma diagnosis through convolutional neural network using fundus image A Shoukat, S Akbar, SAE Hassan, A Rehman, N Ayesha 18th International Conference on Frontiers of Information Technology (FIT …, 2021 | 6 | 2021 |
| AI Technologies in Health-care Applications S Iqbal, M Tariq, H Ayesha, N Ayesha Artificial Intelligence and Internet of Things 1, 3-44, 2021 | 6 | 2021 |
| Dermoscopy cancer detection and classification using geometric feature based on resource constraints device (Jetson Nano) A Rehman, H Yar, N Ayesha, T Sadad 2020 13th International Conference on Developments in eSystems Engineering …, 2020 | 6 | 2020 |
| Automated hybrid model for detection and classification of brain tumor A Khan, S Akbar, A Alghanim, SA Hassan, N Ayesha 2023 Sixth International Conference of Women in Data Science at Prince …, 2023 | 5 | 2023 |
| Breast Mammograms Diagnosis Using Deep Learning: State of Art Tutorial Review OB Naeem, Y Saleem, MUG Khan, AR Khan, T Saba, SA Bahaj, ... Archives of Computational Methods in Engineering, 1-19, 2024 | 4 | 2024 |
| Leukemia Detection Using Machine and Deep Learning Through Microscopic Images—A Review QU Ain, S Akbar, S Gull, M Hussain, N Ayesha Prognostic Models in Healthcare: AI and Statistical Approaches, 261-291, 2022 | 4 | 2022 |
| Covid-19 Detection by using Deep learning-based Custom Convolution Neural Network (CNN) MJ Awan, MW Imtiaz, M Usama, A Rehman, N Ayesha, HMF Shehzad 2021 International Conference on Innovative Computing (ICIC), 1-7, 2021 | 3 | 2021 |
| Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment AR Khan, K Mehmood, N Ayesha Intelligent Computing Applications for COVID-19: Predictions, Diagnosis, and …, 2021 | 1 | 2021 |
| Automated Hybrid Recommender System for Cardiovascular Disease with Applications in Smart Healthcare Z Mehmood, F Jabeen, M Tahir, RM Yousaf, N Ayesha Artificial Intelligence and Internet of Things 1, 331-352, 2021 | 1 | 2021 |
| Multiple Parallel Activity Detection and Recognition to Avoid COVID-19 Spread-Out MT Ubaid, MZ Khan, MUG Khan, A Rehman, N Ayesha Proceedings of International Conference on Information Technology and …, 2022 | | 2022 |
| COVID-19 Prediction, Diagnosis and Prevention Through Computer Vision S Iqbal, H Ayesha, M Farooq Khan Niazi, N Ayesha, K Tehseen Ahmad Prognostic Models in Healthcare: AI and Statistical Approaches, 79-113, 2022 | | 2022 |
| COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics M Kashif, N Ayesha, T Sadad, Z Mehmood Intelligent Computing Applications for COVID-19, 151-168, 2021 | | 2021 |
