2 papers
eess.IV2024
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
Yousef Yeganeh, Rui Xiao, Goktug Guvercin +2
While conventional computer vision emphasizes pixel-level and feature-based objectives, medical image analysis of intricate biological structures necessitates explicit representati…
cs.LG2020
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
Ismail Bilgen, Goktug Guvercin, Islem Rekik
Autism spectrum disorder (ASD) affects the brain connectivity at different levels. Nonetheless, non-invasively distinguishing such effects using magnetic resonance imaging (MRI) re…