Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function. - Nabila Abraham; Naimul Mefraz Khan (BrainLes@MICCAI (2), 2019)

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation. - Nabila Abraham; Naimul Mefraz Khan (ISBI, 2019)

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. - Naimul Mefraz Khan; Nabila Abraham; Marcia Hon; Ling Guan (MIPR, 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; Ling Guan (CoRR, 2019)

Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks. - Arijit Sehanobish; Kawshik Kannan; Nabila Abraham; Anasuya Das; Benjamin Odry (EMNLP (Industry Track), 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 (NAACL-HLT (Industry Papers), 2022)