Bibliotecas PUC-SP - Busca Integrada

A Deep Learning Model for Data-Driven Discovery of Functional Connectivity

由 Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey Plis
发表在 Algorithms (2021-02-01)

Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI

由 Usman Mahmood, Zening Fu, Satrajit Ghosh, Vince Calhoun, Sergey Plis
发表在 NeuroImage (2022-12-01)

A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data

由 Amrit Kashyap, Amrit Kashyap, Sergey Plis, Petra Ritter, Petra Ritter, Shella Keilholz
发表在 Frontiers in Neuroscience (2023-07-01)

A simple but tough-to-beat baseline for fMRI time-series classification

由 Pavel Popov, Usman Mahmood, Zening Fu, Carl Yang, Vince Calhoun, Sergey Plis
发表在 NeuroImage (2024-12-01)

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

由 Anees Abrol, Zening Fu, Mustafa Salman, Rogers Silva, Yuhui Du, Sergey Plis, Vince Calhoun
发表在 Nature Communications (2021-01-01)

Using an ordinary differential equation model to separate rest and task signals in fMRI

由 Amrit Kashyap, Eloy Geenjaar, Patrik Bey, Kiret Dhindsa, Katharina Glomb, Sergey Plis, Shella Keilholz, Petra Ritter
发表在 Nature Communications (2025-08-01)

Interpretable Disorder Signatures: Probing Neural Latent Spaces for Schizophrenia, Alzheimer’s, and Autism Stratification

由 Zafar Iqbal, Md. Mahfuzur Rahman, Qasim Zia, Pavel Popov, Zening Fu, Vince D. Calhoun, Sergey Plis
发表在 Brain Sciences (2025-09-01)

Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal

由 Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis
发表在 Brain Sciences (2025-01-01)

COINSTAC: Decentralizing the future of brain imaging analysis [version 1; referees: 2 approved]

由 Jing Ming, Eric Verner, Anand Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers Silva, Sandeep Panta, Jessica Turner, Sergey Plis, Vince Calhoun
发表在 F1000Research (2017-08-01)

Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data

由 Haleh Falakshahi, Hooman Rokham, Zening Fu, Armin Iraji, Daniel H. Mathalon, Judith M. Ford, Bryon A. Mueller, Adrian Preda, Theo G. M. van Erp, Jessica A. Turner, Sergey Plis, Vince D. Calhoun
发表在 Harvard Data Science Review (2024-09-01)

High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington’s Disease

由 Jennifer A. Ciarochi, Jingyu Liu, Vince Calhoun, Hans Johnson, Maria Misiura, H. Jeremy Bockholt, Flor A. Espinoza, Arvind Caprihan, Sergey Plis, Jessica A. Turner, Jane S. Paulsen, the PREDICT-HD Investigators and Coordinators of the Huntington Study Group
发表在 Brain Sciences (2018-06-01)

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility

由 Dylan Martin, Sunitha Basodi, Sandeep Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Anand D. Sarwate, Ross Kelly, Javier Romero, Bradley T. Baker, Harshvardhan Gazula, Jeremy Bockholt, Jessica A. Turner, Nathalia B. Esper, Alexandre R. Franco, Alexandre R. Franco, Alexandre R. Franco, Sergey Plis, Vince D. Calhoun
发表在 Frontiers in Neuroinformatics (2023-06-01)