Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Segmentation, Repeatability, Deep learning, and Pattern recognition (psychology).
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction
Improving the repeatability of deep learning models with Monte Carlo dropout
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging