Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning. - Md Asadullah Turja; Leo Charles Peek Zsembik; Guorong Wu 001; Martin Styner (MICCAI (3), 2019)

Joint Identification of Network Hub Nodes by Multivariate Graph Inference. - Defu Yang; Chenggang Yan 001; Feiping Nie 001; Xiaofeng Zhu 001; Md Asadullah Turja; Leo Charles Peek Zsembik; Martin Styner; Guorong Wu 001 (MICCAI (3), 2019)

Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease. - Jash Mirani; Nathaniel Fulmer; Md Asadullah Turja; Guorong Wu 001; Martin Styner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data. - Md Asadullah Turja; Guorong Wu 001; Defu Yang; Martin Andreas Styner (MIDL, 2021)

Computing Steiner Trees using Graph Neural Networks. - Abu Reyan Ahmed; Md Asadullah Turja; Faryad Darabi Sahneh; Mithun Ghosh; Keaton Hamm; Stephen G. Kobourov (CoRR, 2021)

Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data. - Ziyao Shang; Md Asadullah Turja; Eric Feczko; Audrey Houghton; Amanda Rueter; Lucille A Moore; Kathy Snider; Timothy Hendrickson; Paul Reiners; Sally Stoyell; Omid Kardan; Monica Rosenberg; et al. (MIDL, 2022)

DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. - Md Asadullah Turja; Martin Styner; Guorong Wu 001 (MICCAI (8), 2023)

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs. - Hesham Mostafa; Adam Grabowski; Md Asadullah Turja; Juan Cerviño; Alejandro Ribeiro; Nageen Himayat (CoRR, 2023)

Distributed Training of Large Graph Neural Networks With Variable Communication Rates. - Juan Cerviño; Md Asadullah Turja; Hesham Mostafa; Nageen Himayat; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2025)