Cover Image

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aggarwal, Himanshu, Al-Shikhley, Liza, Thirion, Bertrand
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN
by: Noble, Sneha, et al.
Published: (2024)

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

Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
by: Frac, Jakub, et al.
Published: (2025)

The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
by: Addeh, Abdoljalil, et al.
Published: (2024)

NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning
by: Torabi, Yasaman, et al.
Published: (2026)

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
by: Kneeland, Reese, et al.
Published: (2025)

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
by: Li, Yamin, et al.
Published: (2024)

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

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

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay
by: Chen, Qianyu, et al.
Published: (2026)

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

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
by: Mai, Weijian, et al.
Published: (2025)

Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations
by: Zangos, Christos, et al.
Published: (2025)

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)

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

Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment
by: Lu, Zitong, et al.
Published: (2024)

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity
by: Shen, Xiongri, et al.
Published: (2024)

3D Wasserstein generative adversarial network with dense U-Net based discriminator for preclinical fMRI denoising
by: Soltanpour, Sima, et al.
Published: (2024)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
by: Diakite, Alou, et al.
Published: (2024)

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data
by: Spera, Fabrizio, et al.
Published: (2026)

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
by: Dahan, Simon, et al.
Published: (2025)

Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
by: Vidya, Suryansh, et al.
Published: (2024)

Extracting Root-Causal Brain Activity Driving Psychopathology from Resting State fMRI
by: Strobl, Eric V.
Published: (2026)

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification
by: Duan, Peiyu, 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)

Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems
by: Oved, Tal, et al.
Published: (2025)

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
by: Fischer, Paul, et al.
Published: (2025)

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

ICA-based Resting-State Networks Obtained on Large Autism fMRI Dataset ABIDE
by: Schielen, Sjir J. C., et al.
Published: (2024)

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

CycleGAN Models for MRI Image Translation
by: Czobit, Cassandra, et al.
Published: (2023)

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
by: Jiang, Wei, et al.
Published: (2023)

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data
by: Veronese, Lorenzo, et al.
Published: (2024)

Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming
by: Elgabli, Anis, et al.
Published: (2020)

A Literature Review on Fetus Brain Motion Correction in MRI
by: Zhang, Haoran, et al.
Published: (2024)

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
by: Heckel, Reinhard, et al.
Published: (2024)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
by: Wang, Zi, et al.
Published: (2024)