Cooperative learning: Decentralized data neural network. - Noah Lewis; Sergey M. Plis; Vince D. Calhoun (IJCNN, 2017)

Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. - Armin Iraji; Noah Lewis; Ashkan Faghiri; Zening Fu; Thomas DeRamus; Anees Abrol; Shile Qi; Vince D. Calhoun (ISBI, 2020)

Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. - Usman Mahmood; Md Mahfuzur Rahman; Alex Fedorov; Noah Lewis; Zening Fu; Vince D. Calhoun; Sergey M. Plis (MICCAI (7), 2020)

Fusing multimodal neuroimaging data with a variational autoencoder. - Eloy Geenjaar; Noah Lewis; Zening Fu; Rohan Venkatdas; Sergey M. Plis; Vince D. Calhoun (EMBC, 2021)

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. - Md Abdur Rahaman; Jiayu Chen 003; Zening Fu; Noah Lewis; Armin Iraji; Vince D. Calhoun (EMBC, 2021)

Can recurrent models know more than we do? - Noah Lewis; Robyn L. Miller; Harshvardhan Gazula; Md Mahfuzur Rahman; Armin Iraji; Vince D. Calhoun; Sergey M. Plis (ICHI, 2021)

Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI. - Ashkan Faghiri; Armin Iraji; Noah Lewis; Kun Yang; Koko Ishizuka; Akira Sawa; Tülay Adali; Vince D. Calhoun (IVMSP, 2022)

Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. - Eloy Geenjaar; Amrit Kashyap; Noah Lewis; Robyn L. Miller; Vince D. Calhoun (CoRR, 2022)

Geometrically Guided Integrated Gradients. - Md Mahfuzur Rahman; Noah Lewis; Sergey M. Plis (CoRR, 2022)

CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. - Eloy Geenjaar; Noah Lewis; Amrit Kashyap; Robyn L. Miller; Vince D. Calhoun (CoRR, 2022)

Topological Correction of Subject-Level Intrinsic Connectivity Networks. - Noah Lewis; Armin Iraji; Robyn L. Miller; Vince D. Calhoun (ISBI, 2023)

Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. - Mustafa S. Salman; Armin Iraji; Noah Lewis; Vince D. Calhoun (ISBI, 2023)

Adaptive Volumetric Anatomy Visualization in VR with Tangible Control. - Constantin Kleinbeck; Max Smietana; Noah Lewis; Timo Teufel; Julian Kreimeier; Christoph Heinzl; Jürgen Steiner; Christoph Anthes; Daniel Roth 001 (ISMAR-Adjunct, 2023)

Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. - Yutong Gao 002; Noah Lewis; Vince D. Calhoun; Robyn L. Miller (Comput. Biol. Medicine, 2023)

Dynamic Functional Network Connectivity Clustering and Harmonization Evaluation Metric. - Biozid Bostami; Noah Lewis; Victor M. Vergara; Vince D. Calhoun (EMBC, 2024)

Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. - Noah Lewis; Kaushik Velusamy; Kevin Harms; Huihuo Zheng (SC Workshops, 2024)

Towards Continuous Patient Care with Remote Guided VR-Therapy. - Julian Kreimeier; Hannah Schieber; Noah Lewis; Max Smietana; Juliane Reithmeier; Vlad Cnejevici; Prathik Prasad; Abdallah Eid; Maximilian Maier; Daniel Roth 001 (VR Workshops, 2024)

Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints. - Noah Lewis (2024)

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. - Noah Lewis; Jean Luca Bez; Suren Byna (ACM Comput. Surv., 2025)