:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Torabi, Yasaman, Razmara, Parsa, Ajorlou, Hamed, Baraeinejad, Bardia
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Machine Learning
Online Access:	https://arxiv.org/abs/2602.13770
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders
by: Gao, Wenjing, et al.
Published: (2024)

Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding
by: Moradi, Mohammad, et al.
Published: (2026)

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

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

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

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

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)

MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
by: Aalishah, Romina, et al.
Published: (2025)

MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion
by: Zou, Jing, et al.
Published: (2024)

MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
by: Cao, Aaron, et al.
Published: (2024)

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

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

GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI
by: Baljer, Levente, et al.
Published: (2025)

HiFi-Mamba: Dual-Stream W-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction
by: Chen, Hongli, et al.
Published: (2025)

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

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

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

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

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

EdgeNavMamba: Mamba Optimized Object Detection for Energy Efficient Edge Devices
by: Aalishah, Romina, et al.
Published: (2025)

A Mamba-based Perceptual Loss Function for Learning-based UGC Transcoding
by: Qi, Zihao, et al.
Published: (2026)

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net
by: He, Dongyi, et al.
Published: (2025)

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

Generative AI Enables Structural Brain Network Construction from fMRI via Symmetric Diffusion Learning
by: Zuo, Qiankun, et al.
Published: (2023)

MambaRecon: MRI Reconstruction with Structured State Space Models
by: Korkmaz, Yilmaz, 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)

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
by: Aggarwal, Himanshu, et al.
Published: (2024)

NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction
by: Ghosh, Soumen, et al.
Published: (2024)

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

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

Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding
by: Peng, Yueh-Po, et al.
Published: (2025)

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

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation
by: Yang, Xiaoxian, et al.
Published: (2025)

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

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)

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
by: Yin, Jiahui, et al.
Published: (2025)