A. A. Oberai

This paper develops a generative algorithm for medical image imputation, showing it outperforms deterministic deep learning methods and provides confidence measures for imputed images.

This paper introduces a probabilistic deep learning method for brain extraction in MR images using cGANs, showing improved accuracy and uncertainty quantification compared to existing tools.

This paper introduces a computational method to quantify both cellular tractions and ECM degradation in 3D Traction Microscopy, showing that neglecting degradation leads to significant traction measurement errors.