Noah Lewis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Amazon Mechanical Turk

Volume Visualization

Cooperative Learning

Brain Connectivity

Top Venues

Publications

Julian Kreimeier, Hannah Schieber, Noah Lewis, Max Smietana, Juliane Reithmeier, Vlad Cnejevici, Prathik Prasad, Abdallah Eid, Maximilian Maier, Daniel Roth
Towards Continuous Patient Care with Remote Guided VR-Therapy. VR Workshops (2024)
Noah Lewis, Jean Luca Bez, Suren Byna
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. CoRR (2024)
Yutong Gao, Noah Lewis, Vince D. Calhoun, Robyn L. Miller
Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Comput. Biol. Medicine 161 (2023)
Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun
Topological Correction of Subject-Level Intrinsic Connectivity Networks. ISBI (2023)
Constantin Kleinbeck, Max Smietana, Noah Lewis, Timo Teufel, Julian Kreimeier, Christoph Heinzl, Jürgen Steiner, Christoph Anthes, Daniel Roth
Adaptive Volumetric Anatomy Visualization in VR with Tangible Control. ISMAR-Adjunct (2023)
Mustafa S. Salman, Armin Iraji, Noah Lewis, Vince D. Calhoun
Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. ISBI (2023)
Ashkan Faghiri, Armin Iraji, Noah Lewis, Kun Yang, Koko Ishizuka, Akira Sawa, Tülay Adali, Vince D. Calhoun
Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI. IVMSP (2022)
Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn L. Miller, Vince D. Calhoun
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. CoRR (2022)
Md Mahfuzur Rahman, Noah Lewis, Sergey M. Plis
Geometrically Guided Integrated Gradients. CoRR (2022)
Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn L. Miller, Vince D. Calhoun
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. CoRR (2022)
Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. CoRR (2021)
Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis
Can recurrent models know more than we do? ICHI (2021)
Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC (2021)
Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. EMBC (2021)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR (2020)
Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI (2020)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) (2020)
Noah Lewis, Sergey M. Plis, Vince D. Calhoun
Cooperative learning: Decentralized data neural network. IJCNN (2017)