Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. - Qinghao Liang; Sahand Negahban; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISBI, 2021)

Transforming Connectomes to "Any" Parcellation via Graph Matching. - Qinghao Liang; Javid Dadashkarimi; Wei Dai; Amin Karbasi; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISGIE/GRAIL@MICCAI, 2022)

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. - Javid Dadashkarimi; Amin Karbasi; Qinghao Liang; Matthew Rosenblatt; Stephanie Noble; Maya Foster; Raimundo X. Rodriguez; Brendan Adkinson; Jean Ye; Huili Sun; Chris Camp; Michael Farruggia; et al. (Medical Image Anal., 2023)

Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. - Qinghao Liang; Brendan Adkinson; Rongtao Jiang; Dustin Scheinost (MICCAI (10), 2024)

Meta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces. - Qinghao Liang; Brendan Adkinson; Dustin Scheinost (ISBI, 2025)

A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. - Siyuan Dong; Zhuotong Cai; Gilbert Hangel; Wolfgang Bogner; Georg Widhalm; Yaqing Huang; Qinghao Liang; Chenyu You; Chathura Kumaragamage; Robert K. Fulbright; Amit Mahajan; Amin Karbasi; et al. (Medical Image Anal., 2025)