| A novel focal tversky loss function with improved attention U-Net for lesion segmentation N Abraham, NM Khan 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 2018 | 843 | 2018 |
| Transfer learning with intelligent training data selection for prediction of Alzheimer’s disease NM Khan, N Abraham, M Hon IEEE Access 7, 72726-72735, 2019 | 147 | 2019 |
| 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019) N Abraham, NM Khan IEEE, 2019 | 67 | 2019 |
| Using decision curve analysis to benchmark performance of a magnetic resonance imaging–based deep learning model for prostate cancer risk assessment D Deniffel, N Abraham, K Namdar, X Dong, E Salinas, L Milot, F Khalvati, ... European Radiology 30, 6867-6876, 2020 | 22 | 2020 |
| Deep learning for semantic segmentation of brachial plexus nervesin ultrasound images using U-Net and M-Net N Abraham, K Illanko, N Khan, D Androutsos 2019 3rd International Conference on Imaging, Signal Processing and …, 2019 | 21 | 2019 |
| Machine learning on biomedical images: Interactive learning, transfer learning, class imbalance, and beyond NM Khan, N Abraham, M Hon, L Guan 2019 ieee conference on multimedia information processing and retrieval …, 2019 | 20 | 2019 |
| Multimodal segmentation with MGF-Net and the focal tversky loss function N Abraham, NM Khan Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 8 | 2020 |
| IEEE 16th international symposium on biomedical imaging (ISBI 2019) IEEE; 2019 N Abraham, NM Khan A novel focal Tversky loss function with improved attention U-net for lesion …, 2019 | 6 | 2019 |
| Stress management in clinical settings EW Biggs, L Brianna, JR Caguiat, NM Khan, NM Abraham, MR Zafar, ... US Patent App. 16/663,223, 2021 | 2 | 2021 |
| Explaining the effectiveness of multi-task learning for efficient knowledge extraction from spine mri reports A Sehanobish, MC Sandora, N Abraham, J Pawar, D Torres, A Das, ... arXiv preprint arXiv:2205.02979, 2022 | 1 | 2022 |
| Meta-learning of pathologies from radiology reports using variance-aware prototypical networks A Sehanobish, K Kannan, N Abraham, A Das, B Odry US Patent App. 18/226,008, 2024 | | 2024 |
| Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks A Sehanobish, K Kannan, N Abraham, A Das, B Odry arXiv preprint arXiv:2210.13979, 2022 | | 2022 |
| Some Practical Challenges with Possible Solutions for Machine Learning in Medical Imaging N Khan, N Abraham, A Tabassum, M Hon Machine Learning in Medicine, 147-163, 2021 | | 2021 |
| Ryerson Rams Robotics: Technical Design Report F Balsara, N Abraham, Y Ahmadzadeh, M Botos, G Casciano, K Guglani, ... | | 2019 |
| Towards improved medical image segmentation using deep learning N Abraham | | |
Naimul KhanAssociate Professor, Toronto Metropolitan University (Ryerson University)Verified email at torontomu.ca
