Fast Nonconvex T2^* Mapping Using ADMM. - Shuai Huang; James J. Lah; Jason W. Allen; Deqiang Qiu (CoRR, 2020)

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease. - Robert X. Smith; Jeremy F. Strain; Aaron Tanenbaum; Anne M. Fagan; Jason Hassenstab; Eric McDade; Suzanne E. Schindler; Brian A. Gordon; Chengjie Xiong; Jasmeer P. Chhatwal; Clifford R. Jack; Celeste Karch; et al. (Brain Connect., 2021)

Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment. - Rafi U. Haque; Alvince L. Pongos; Cecelia M. Manzanares; James J. Lah; Allan I. Levey; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2021)

Robust Quantitative Susceptibility Mapping via Approximate Message Passing. - Shuai Huang; James J. Lah; Jason W. Allen; Deqiang Qiu (CoRR, 2022)

s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers. - Raghav Tandon; James J. Lah; Cassie S. Mitchell (CHIL, 2024)

A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals. - Yuxiang Wei 008; Anees Abrol; James J. Lah; Deqiang Qiu; Vince D. Calhoun (EMBC, 2024)

Disentangling Visual Exploration Differences in Cognitive Impairment. - Zifan Jiang; Salman Seyedi; Kayci L. Vickers; Cecelia M. Manzanares; James J. Lah; Allan I. Levey; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2024)

DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning. - Matthew Drexler; Benjamin B. Risk; James J. Lah; Suprateek Kundu; Deqiang Qiu (CoRR, 2025)