Machine Learning, Deep Learning, Medical Image Processing, Computer Vision, NLP.
Medical Image Segmentation - Applying machine learning techniques to improve segmentation of anatomical structures in medical images from multiple modalities (MRI, CT, X-Ray).
Medical Image Synthesis - Using machine learning and deep learning (GANs, FCNNs) techniques to generate new medical image data with customizable parameters.
Interactive Machine Learning - Integrating machine learning with Holographics to provide immersive and responsive aid to surgeons before, during and after surgeries.