2 papers
cs.SI2024
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
Oytun Demirbilek, Tingying Peng, Alaa Bessadok
A morphological brain graph depicting a connectional fingerprint is of paramount importance for charting brain dysconnectivity patterns. Such data often has missing observations du…
cs.LG2021
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates
Oytun Demirbilek, Islem Rekik
Learning how to estimate a connectional brain template(CBT) from a population of brain multigraphs, where each graph (e.g., functional) quantifies a particular relationship between…