Noah Lewis - RankMe

23 papers B 1Journal 9Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. ACM Comput. Surv. Noah Lewis, Jean Luca Bez, Suren Byna
2025	J	`jnl`	Two-Stage Gaussian Splatting Optimization for Outdoor Scene Reconstruction. CoRR Deborah Pintani, Ariel Caputo, Noah Lewis, Marc Stamminger, Fabio Pellacini, Andrea Giachetti
2024	—	`conf`	Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. SC Workshops Noah Lewis, Kaushik Velusamy, Kevin Harms, Huihuo Zheng
2024	—	`conf`	Dynamic Functional Network Connectivity Clustering and Harmonization Evaluation Metric. EMBC Biozid Bostami, Noah Lewis, Victor M. Vergara, Vince D. Calhoun
2024	J	`jnl`	I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. CoRR Noah Lewis, Jean Luca Bez, Suren Byna
2024	—	`—`	Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints. Noah Lewis
2024	—	`conf`	Towards Continuous Patient Care with Remote Guided VR-Therapy. VR Workshops Julian Kreimeier, Hannah Schieber, Noah Lewis, Max Smietana, Juliane Reithmeier, Vlad Cnejevici, Prathik Prasad, Abdallah Eid, Maximilian Maier, Daniel Roth
2023	—	`conf`	Adaptive Volumetric Anatomy Visualization in VR with Tangible Control. ISMAR-Adjunct Constantin Kleinbeck, Max Smietana, Noah Lewis, Timo Teufel, Julian Kreimeier, Christoph Heinzl, Jürgen Steiner, Christoph Anthes, Daniel Roth
2023	J	`jnl`	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 Yutong Gao, Noah Lewis, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. ISBI Mustafa S. Salman, Armin Iraji, Noah Lewis, Vince D. Calhoun
2023	—	`conf`	Topological Correction of Subject-Level Intrinsic Connectivity Networks. ISBI Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. CoRR Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	Geometrically Guided Integrated Gradients. CoRR Md Mahfuzur Rahman, Noah Lewis, Sergey M. Plis
2022	—	`conf`	Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI. IVMSP Ashkan Faghiri, Armin Iraji, Noah Lewis, Kun Yang, Koko Ishizuka, Akira Sawa, Tülay Adali, Vince D. Calhoun
2022	J	`jnl`	Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. CoRR Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn L. Miller, Vince D. Calhoun
2021	—	`conf`	Can recurrent models know more than we do? ICHI Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis
2021	—	`conf`	Fusing multimodal neuroimaging data with a variational autoencoder. EMBC Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	J	`jnl`	Fusing multimodal neuroimaging data with a variational autoencoder. CoRR Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	—	`conf`	Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun
2020	—	`conf`	Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun
2020	—	`conf`	Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2020	J	`jnl`	Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2017	B	`conf`	Cooperative learning: Decentralized data neural network. IJCNN Noah Lewis, Sergey M. Plis, Vince D. Calhoun