Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study. - Yuda Bi; Anees Abrol; Zening Fu; Vince D. Calhoun (EMBC, 2022)

MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data. - Yuda Bi; Anees Abrol; Zening Fu; Vince D. Calhoun (ISBI, 2023)

Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review. - Yuda Bi (CoRR, 2023)

Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. - Yuda Bi; Anees Abrol; Jing Sui; Vince D. Calhoun (ICASSP, 2024)

Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. - Yuda Bi; Anees Abrol; Sihan Jia; Jing Sui; Vince D. Calhoun (NeuroImage, 2024)

GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis. - Hu Xu; Jingling Yang; Sihan Jia; Yuda Bi; Vince D. Calhoun (CoRR, 2025)

MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model. - Yuda Bi; Sihan Jia; Yutong Gao 002; Anees Abrol; Zening Fu; Vince D. Calhoun (CoRR, 2025)