James J. Lah

Orcid: 0000-0002-8810-620X

According to our database1, James J. Lah authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Symptomatic to Pre-Symptomatic: Adaptive Knowledge Distillation for Early Alzheimer's Detection Using Functional MRI.
IEEE Trans. Biomed. Eng., March, 2026

2025
Atlas-free Brain Network Transformer.
CoRR, October, 2025

DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning.
CoRR, July, 2025

2024
Disentangling Visual Exploration Differences in Cognitive Impairment.
IEEE Trans. Biomed. Eng., April, 2024

A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers.
Proceedings of the Conference on Health, 2024

2022
Robust Quantitative Susceptibility Mapping via Approximate Message Passing.
CoRR, 2022

2021
Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment.
IEEE Trans. Biomed. Eng., 2021

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease.
Brain Connect., 2021

2020
Fast Nonconvex T<sub>2</sub><sup>^*</sup> Mapping Using ADMM.
CoRR, 2020


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