Cover Image

SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Comby, Pierre-Antoine, Vignaud, Alexandre, Ciuciu, Philippe
Format:	Preprint
Published:	2024
Subjects:	Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reconstructing physiological signals from fMRI across the adult lifespan
by: Wang, Shiyu, et al.
Published: (2024)

Feasibility of simultaneous EEG-fMRI at 0.55 T: Recording, Denoising, and Functional Mapping
by: Razmara, Parsa, et al.
Published: (2026)

Deep Learning for Gradient and BCG Artifacts Removal in EEG During Simultaneous fMRI
by: Shahriar, K. A., et al.
Published: (2025)

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
by: Guo, Hanning, et al.
Published: (2026)

Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI
by: GRS, Sasanka, et al.
Published: (2024)

NeuroSSM: Multiscale Differential State-Space Modeling for Context-Aware fMRI Analysis
by: Genç, Furkan, et al.
Published: (2026)

Leveraging sinusoidal representation networks to predict fMRI signals from EEG
by: Li, Yamin, et al.
Published: (2023)

Combining Cartesian and non-Cartesian acceleration techniques with SPARKLING for 1mm isotropic whole-brain MPRAGE in a minute
by: Radhakrishna, Chaithya Giliyar, et al.
Published: (2026)

Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification
by: Guo, Shouchang
Published: (2024)

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
by: Yao, Weiheng, et al.
Published: (2024)

Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model
by: Sung, Ching-Chih, et al.
Published: (2025)

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding
by: Qiu, Weikang, et al.
Published: (2025)

Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models
by: Kucukosmanoglu, Murat, et al.
Published: (2024)

Using Graph Convolutional Networks to Address fMRI Small Data Problems
by: Screven, Thomas, et al.
Published: (2025)

Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction
by: Comby, Pierre-Antoine, et al.
Published: (2024)

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
by: Fan, Wenrui, et al.
Published: (2025)

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
by: Duan, Peiyu, et al.
Published: (2026)

Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model
by: Kim, Jeong-Jae, et al.
Published: (2022)

Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
by: Ding, Jun-En, et al.
Published: (2024)

Automated Tinnitus Detection Through Dual-Modality Neuroimaging: EEG Microstate Analysis and Resting-State fMRI Classification Using Deep Learning
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning
by: Bhattacharya, Debanjali, et al.
Published: (2023)

Towards Zero-Shot Task-Generalizable Learning on fMRI
by: Wang, Jiyao, et al.
Published: (2025)

A Feasibility Study of Task-Based fMRI at 0.55 T
by: Razmara, Parsa, et al.
Published: (2025)

Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
by: Wang, Mo, et al.
Published: (2026)

Assessment of 7T task fMRI value over 3T task fMRI
by: Bermudez, Dalton H
Published: (2025)

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion
by: Wei, Xinxu, et al.
Published: (2024)

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI
by: Styll, Patrick, et al.
Published: (2024)

Mitigating analytical variability in fMRI results with style transfer
by: Germani, Elodie, et al.
Published: (2024)

FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction
by: Ye, Junliang, et al.
Published: (2025)

Uncovering communities of pipelines in the task-fMRI analytical space
by: Germani, Elodie, et al.
Published: (2023)

Segment anything model (SAM) for brain extraction in fMRI studies
by: Chenna, Dwith, et al.
Published: (2024)

From Photography to fMRI
by: Muhr, Paula
Published: (2022)

4D iterative reconstruction of brain fMRI in the moving fetus
by: Taymourtash, Athena, et al.
Published: (2021)

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification
by: Duan, Peiyu, et al.
Published: (2025)

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
by: Wei, Yuxiang, et al.
Published: (2025)

NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis
by: Lanzino, Romeo, et al.
Published: (2024)

TV-based Deep 3D Self Super-Resolution for fMRI
by: Pérez-Bueno, Fernando, et al.
Published: (2024)

Generalizable Representation Learning for fMRI-based Neurological Disorder Identification
by: Cui, Wenhui, et al.
Published: (2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
by: Gong, Zixuan, et al.
Published: (2024)

Resting-state fMRI Analysis using Quantum Time-series Transformer
by: Park, Junghoon Justin, et al.
Published: (2025)