One paper is accepted to SPIE Medical Imaging 2025!

Recently we work heavily on liver diseases, and one of the key task in imaging-based diagnosis and prognostic tasks is to segment liver (and associated or nearby organs) from CT and/or MRI scans.
Cirrhotic liver is challenging to analyze, and in the following work, we have devised an algorithm to conduct multi-organ segmentation including challenging case of cirrhotic liver.

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs
Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, and Ulas Bagci

Paper is here!

https://spie.org/conferences-and-exhibitions/medical-imaging