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Noah Lewis
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2020 – today
- 2024
- [b1]Noah Lewis:
Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c11]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: 959-960 - [i6]Noah Lewis, Jean Luca Bez, Suren Byna:
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. CoRR abs/2404.10386 (2024) - 2023
- [j1]Yutong Gao
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: 107005 (2023) - [c10]Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun
Topological Correction of Subject-Level Intrinsic Connectivity Networks. ISBI 2023: 1-4 - [c9]Mustafa S. Salman, Armin Iraji, Noah Lewis, Vince D. Calhoun
Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. ISBI 2023: 1-5 - [c8]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: 613-614 - 2022
- [c7]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: 1-5 - [i5]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 abs/2205.13640 (2022) - [i4]Md Mahfuzur Rahman, Noah Lewis, Sergey M. Plis:
Geometrically Guided Integrated Gradients. CoRR abs/2206.05903 (2022) - [i3]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 abs/2210.03667 (2022) - 2021
- [c6]Md Abdur Rahaman
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC 2021: 3267-3272 - [c5]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. EMBC 2021: 3630-3633 - [c4]Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman
Can recurrent models know more than we do? ICHI 2021: 243-247 - [i2]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
Fusing multimodal neuroimaging data with a variational autoencoder. CoRR abs/2105.01128 (2021) - 2020
- [c3]Armin Iraji
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI 2020: 1698-1701 - [c2]Usman Mahmood
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) 2020: 407-417 - [i1]Usman Mahmood
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR abs/2007.16041 (2020)
2010 – 2019
- 2017
- [c1]Noah Lewis, Sergey M. Plis, Vince D. Calhoun:
Cooperative learning: Decentralized data neural network. IJCNN 2017: 324-331
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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