Nabila Abraham
Nabila Abraham
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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 (12), 6867-6876, 2020
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
Stress management in clinical settings
EW Biggs, L Brianna, JR Caguiat, NM Khan, NM Abraham, MR Zafar, ...
US Patent App. 16/663,223, 2021
Towards improved medical image segmentation using deep learning
N Abraham
Ryerson University, 2021
Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function
N Abraham, NM Khan
International MICCAI Brainlesion Workshop, 191-198, 2019
Ryerson Rams Robotics: Technical Design Report
F Balsara, N Abraham, Y Ahmadzadeh, M Botos, G Casciano, K Guglani, ...
The system can't perform the operation now. Try again later.
Articles 1–10