Join this month's RISE-MICCAI Journal Club Sessions - June 14 and June 28
Wednesday 11th June 2025
Session 1 - Saturday, June 14, 2025, 12 pm EDT / 4 pm UTC
Paper: Cellular Geometry of the Heart
Presenting author: Tabish A. Syed, McGill University Health Centre Research Institute
Abstract:
The heart, a four-chambered muscular pump in mammals, is one of the most vital organs of the body. The heart beats rhythmically and continuously pumps blood throughout the lifetime of an organism without pause. To understand its function and dysfunction, numerous models have been proposed. The accuracy of these models is highly dependent on our understanding of the underlying tissue structure. While the gross structure of the heart is well understood, the cellular-level organization has so far only been described at a very local level. I will present our work on reconstructing the geometry of cardiomyocytes (heart muscle cells) at the cellular scale. The talk will focus on computer vision and shape analysis techniques using medial representations and machine learning to touch upon some interesting biological results that follow.
References:
* https://www.embopress.org/doi/full/10.15252/embj.2022113288,
* https://link.springer.com/chapter/10.1007/978-3-030-20351-1_14
Bio:
Tabish Syed is a post-doctoral fellow at the Center for Research in Neuroscience at the McGill University Health Center Research Institute. He did his PhD at the School of Computer Science at McGill University in 2023, where he worked on the reconstruction of biological tissue geometry from 3D microscopic images. His research interests include Applied Mathematical methods for Computer Vision, Image reconstruction, and Image representation.
Session 2 - Saturday, June 28, 2025, 12 pm EDT / 4 pm UTC
Special Session: Discovering BraTS: Insights from the Challenge Organizers
Topics and Presenters:
1. Introduction to the BraTS Challenge - Nazanin Maleki, MD
2. Interactive learning for trainees: Exploring opportunities through the BraTS Challenge - Raisa Amiruddin, MBBS
3. Preparing students for AI Challenges - Nikolay Yordanov, MD
