Noah Lewis

According to our database1, Noah Lewis authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints.
PhD thesis, 2024

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey.
CoRR, 2024

Towards Continuous Patient Care with Remote Guided VR-Therapy.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

2023
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, July, 2023

Adaptive Volumetric Anatomy Visualization in VR with Tangible Control.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Topological Correction of Subject-Level Intrinsic Connectivity Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs.
CoRR, 2022

Geometrically Guided Integrated Gradients.
CoRR, 2022

Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data.
CoRR, 2022

Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

2021
Can recurrent models know more than we do?
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.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Fusing multimodal neuroimaging data with a variational autoencoder.
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.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2017
Cooperative learning: Decentralized data neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


  Loading...