Nabila Abraham

According to our database, Nabila Abraham authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports.

Arijit Sehanobish, McCullen Sandora, Nabila Abraham, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks.

Arijit Sehanobish, Kawshik Kannan, Nabila Abraham, Anasuya Das, Benjamin Odry

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2019

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.

Naimul Mefraz Khan, Nabila Abraham, Ling Guan

CoRR, 2019

Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease.

Naimul Mefraz Khan, Nabila Abraham, Marcia Hon

IEEE Access, 2019

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.

Naimul Mefraz Khan, Nabila Abraham, Marcia Hon, Ling Guan

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation.

Nabila Abraham, Naimul Mefraz Khan

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function.

Nabila Abraham, Naimul Mefraz Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019