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Nabila Abraham
Nabila Abraham
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Title
Cited by
Cited by
Year
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
8752018
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
1552019
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019)
N Abraham, NM Khan
IEEE, 2019
692019
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
222020
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
222019
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
202019
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
82020
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
72019
Stress management in clinical settings
EW Biggs, L Brianna, JR Caguiat, NM Khan, NM Abraham, MR Zafar, ...
US Patent App. 16/663,223, 2021
32021
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
12022
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
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