Noah Lewis

According to our database, Noah Lewis authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints.

Noah Lewis

PhD thesis, 2024

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, Noah Lewis, Vince D. Calhoun, Robyn L. Miller

Comput. Biol. Medicine, July, 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

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia.

Mustafa S. Salman, Armin Iraji, Noah Lewis, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Topological Correction of Subject-Level Intrinsic Connectivity Networks.

Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Geometrically Guided Integrated Gradients.

Md Mahfuzur Rahman, Noah Lewis, Sergey M. Plis

CoRR, 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

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

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

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

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Fusing multimodal neuroimaging data with a variational autoencoder.

Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2017

Cooperative learning: Decentralized data neural network.

Noah Lewis, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017