29 citations · 55 across the 4 of their papers we have counts for
4 papers · 1 filter
Weakly Supervised Segmentation by A Deep Geodesic Prior
Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian +2
The performance of the state-of-the-art image segmentation methods heavily relies on the high-quality annotations, which are not easily affordable, particularly for medical data. T…
Automatically Designing CNN Architectures for Medical Image Segmentation
Aliasghar Mortazi, Ulas Bagci
Deep neural network architectures have traditionally been designed and explored with human expertise in a long-lasting trial-and-error process. This process requires huge amount of…
Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
Convolutional neural networks (CNNs) have shown remarkable results over the last several years for a wide range of computer vision tasks. A new architecture recently introduced by…
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT
Aliasghar Mortazi, Jeremy Burt, Ulas Bagci
Non-invasive detection of cardiovascular disorders from radiology scans requires quantitative image analysis of the heart and its substructures. There are well-established measurem…