| CDED-Net: Joint segmentation of optic disc and optic cup for glaucoma screening M Tabassum, TM Khan, M Arsalan, SS Naqvi, M Ahmed, HA Madni, ... IEEE access 8, 102733-102747, 2020 | 91 | 2020 |
| Data mining techniques and applications—A decade review HA Madni, Z Anwar, MA Shah 2017 23rd international conference on automation and computing (ICAC), 1-7, 2017 | 76 | 2017 |
| A review on glaucoma disease detection using computerized techniques F Abdullah, R Imtiaz, HA Madni, HA Khan, TM Khan, MAU Khan, ... IEEE Access 9, 37311-37333, 2021 | 75 | 2021 |
| Towards automated eye diagnosis: an improved retinal vessel segmentation framework using ensemble block matching 3D filter K Naveed, F Abdullah, HA Madni, MAU Khan, TM Khan, SS Naqvi Diagnostics 11 (1), 114, 2021 | 49 | 2021 |
| Blockchain-based swarm learning for the mitigation of gradient leakage in federated learning HA Madni, RM Umer, GL Foresti IEEE Access 11, 16549-16556, 2023 | 26 | 2023 |
| Performance measurement of energy management controller using heuristic techniques A Ahmed, A Manzoor, A Khan, A Zeb, HA Madni, U Qasim, ZA Khan, ... Complex, Intelligent, and Software Intensive Systems: Proceedings of the …, 2018 | 19 | 2018 |
| Swarm-fhe: fully homomorphic encryption-based swarm learning for malicious clients HA Madni, RM Umer, GL Foresti International journal of neural systems 33 (08), 2350033, 2023 | 14 | 2023 |
| Federated learning for data and model heterogeneity in medical imaging HA Madni, RM Umer, GL Foresti International Conference on Image Analysis and Processing, 167-178, 2023 | 8 | 2023 |
| DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images M Raza, K Naveed, A Akram, N Salem, A Afaq, HA Madni, MAU Khan, ... PloS one 16 (12), e0261698, 2021 | 6 | 2021 |
| Robust Federated Learning for Heterogeneous Model and Data. HA Madni, RM Umer, GL Foresti International Journal of Neural Systems 34 (4), 2450019-2450019, 2024 | 2 | 2024 |
| Exploiting data diversity in multi-domain federated learning HA Madni, RM Umer, GL Foresti Machine Learning: Science and Technology 5 (2), 025041, 2024 | 1 | 2024 |
| FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells HA Madni, RM Umer, S Zottin, C Marr, GL Foresti International Journal of Medical Informatics, 105806, 2025 | | 2025 |
Tariq Mahmood KhanUniversity of New South WalesZweryfikowany adres z unsw.edu.au