Clinical and Translational Imaging Lab will provide a symbiotic relationship between engineering, mathematics, and clinical sciences. Specifically, we will pursue research themes at the intersection of optimization theory, deep learning, and multi-modality (medical) imaging. The over-arching goal is to provide robust, scalable, portable, and cost-effective solutions to clinical problems and, concurrently, multidisciplinary training and development of future scientists.
Latest News
2021
Dr. Hassan joins the Editorial Board of Artificial Intelligence in Radiology in Frontiers in Radiology.
Paper accepted at the BrainLesion Workshop, MICCAI Conference, 2021: E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge.
Paper accepted at the M&Ms-2 Challenge, MICCAI Conference, 2021: Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images.
Dr. Hassan is an invited speaker at the Big Data in Biomedicine Seminar Series, Precision Medicine Lab. The title of the talk is Brain Tumor Characterization with Radiogenomics and Deep Learning.
Dr. Hassan is a guest speaker at King Edward Medical University Lahore / Mayo Hospital Lahore. He will speak on the topic of Artificial Intelligence and Medical Imaging.
