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“Barely-SSM”: Weakly Supervised Statistical Shape Modeling for Anatomical Shape Representation

Semester: Spring 2024

Presentation description

We propose to study statistical shape modeling (SSM) for anatomical shape representation via unsupervised and weakly supervised methods, referred to as "Barely-SSM". This research aims to develop a novel approach to segmenting medical volumes that eliminates the need for burdensome manual annotations, followed by an evaluation of the applicability of this segmentation for SSM. The research focuses on addressing the concrete and important challenge of improving the efficiency.

Presenter Name: Asma Khan

Presentation Type: Poster
Presentation Format: In Person
Presentation #A10
College: Engineering
School / Department: School of Computing
Research Mentor: Shireen Elhabian
Date | Time: Tuesday, Apr 9th | 9:00 AM