Calhoun, Vince D.
- Deep learning for neuroimaging: a validation study
2013/12/20 by Sergey M. Plis, Sergey Plis, Devon R. Hjelm +7 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · #Cell Image Analysis Techniques #Data Visualization and Analytics #Functional Brain Connectivity Studies #cs.LG #cs.NE #stat.ML
- Interpretable multimodal fusion networks reveal mechanisms of brain cognition
2020/06/16 by Wenxing Hu, Hu, Wenxing, Xiang-He Meng +17 · 2 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Bioinformatics and Genomic Networks #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #electronic engineering #information engineering
- Aberrant High-Order Dependencies in Schizophrenia Resting-State Functional MRI Networks
2023/10/26 by Qiang Li, Vince D. Calhoun, Li, Qiang +9 · 4 citations
Neuroscience · #Functional Brain Connectivity Studies #Neural dynamics and brain function #EEG and Brain-Computer Interfaces
- Block Coordinate Descent for Sparse NMF
2013/01/15 by Vamsi K. Potluru, Sergey Plis, Potluru, Vamsi K. +9 · 1 citation
Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques
- Directional Statistics on Permutations
2010/07/14 by Sergey M. Plis, Sergey Plis, Terran Lane +4 · 1 citation
Computer Science · Mathematics · Medicine · #Bayesian Methods and Mixture Models #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #stat.ML
- Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
2020/06/16 by Zhang, Aiying, Zhang, Gemeng, Cai, Biao +6 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Algorithm-Agnostic Explainability for Unsupervised Clustering
2021/05/17 by Charles A. Ellis, Mohammad S.E. Sendi, Ellis, Charles A. +9 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Statistical and Computational Modeling
- Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
2024/02/09 by Bradley T. Baker, Baker, Bradley T., Barak A. Pearlmutter +7 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications
- A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
2024/05/13 by Anton Orlichenko, Gang Qu, Orlichenko, Anton +17 · 1 citation
Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- Multi-modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification
2024/07/28 by Nagur Shareef Shaik, Teja Krishna Cherukuri, Shaik, Nagur Shareef +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)