PROJECT TITLE : Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation Radiosurgery Application ABSTRACT: We conduct an in-depth analysis of a Deep Learning model by using it to segment three-dimensional
PROJECT TITLE : On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks ABSTRACT: To fully realize the potential of deep learning in histopathology applications, a bottleneck
PROJECT TITLE : Multi-Magnification Image Search in Digital Pathology ABSTRACT: This study proposes the use of multi-magnification image representation and investigates the effect that magnification has on content-based image
PROJECT TITLE : Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation ABSTRACT: The long-term goal of image restoration and manipulation is to acquire a solid understanding of image priors. Existing
PROJECT TITLE : Learning Deformable Image Registration from Optimization Perspective, Modules, Bilevel Training and Beyond ABSTRACT: The goal of conventional deformable registration methods is to solve an optimization model that