Copertina

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Styll, Patrick, Kim, Dowon, Cha, Jiook
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neurons and Cognition Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis
di: Seo, Jungwoo, et al.
Pubblicazione: (2025)

Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI
di: Caselles-Dupré, Hugo, et al.
Pubblicazione: (2024)

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
di: Zhou, Chuyang, et al.
Pubblicazione: (2025)

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

BOLDSimNet: Examining Brain Network Similarity between Task and Resting-State fMRI
di: Kim, Boseong, et al.
Pubblicazione: (2025)

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
di: Beliy, Roman, et al.
Pubblicazione: (2025)

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
di: Dong, Zijian, et al.
Pubblicazione: (2024)

CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience
di: St-Laurent, Marie, et al.
Pubblicazione: (2025)

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

SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
di: Wang, Mo, et al.
Pubblicazione: (2025)

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

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining
di: Xia, Junfeng, et al.
Pubblicazione: (2026)

Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis
di: Zhao, Haokai, et al.
Pubblicazione: (2024)

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery
di: Kneeland, Reese, et al.
Pubblicazione: (2026)

Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex
di: Ma, Shuxiao, et al.
Pubblicazione: (2024)

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

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

Comparing and Scaling fMRI Features for Brain-Behavior Prediction
di: Sieler, Mikkel Schöttner, et al.
Pubblicazione: (2025)

Volume-Wise Task fMRI Decoding with Deep Learning:Enhancing Temporal Resolution and Cognitive Function Analysis
di: Wu, Yueyang, et al.
Pubblicazione: (2025)

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

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
di: Scotti, Paul S., et al.
Pubblicazione: (2024)

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
di: Jalouzot, Louis, et al.
Pubblicazione: (2025)

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
di: Bae, Sangyoon, et al.
Pubblicazione: (2025)

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

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
di: Qu, Gang, et al.
Pubblicazione: (2024)

Ensemble-based graph representation of fMRI data for cognitive brain state classification
di: Vlasenko, Daniil, et al.
Pubblicazione: (2025)

NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
di: Yang, Yanting, et al.
Pubblicazione: (2025)

Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
di: Wein, Simon, et al.
Pubblicazione: (2024)

EmoMind: Decoding Affective Captions from Human Brain fMRI
di: Mohammed, Bilal A., et al.
Pubblicazione: (2026)

EEG-to-fMRI synthesis of task-evoked and spontaneous brain activity: addressing issues of statistical significance and generalizability
di: Mehta, Neil, et al.
Pubblicazione: (2025)

Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin
di: Yap, Sin-Yee, et al.
Pubblicazione: (2025)

Deep Learning Inductive Biases for fMRI Time Series Classification during Resting-state and Movie-watching
di: Khodabandehloo, Behdad, et al.
Pubblicazione: (2025)

Voxel-Level Brain States Prediction Using Swin Transformer
di: Sun, Yifei, et al.
Pubblicazione: (2025)

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

The Dynamics of Triple Interactions in Resting fMRI: Insights into Psychotic Disorders
di: Li, Qiang, et al.
Pubblicazione: (2024)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
di: Orlichenko, Anton, et al.
Pubblicazione: (2024)

fMRI Exploration of Visual Quality Assessment
di: Zhang, Yiming, et al.
Pubblicazione: (2024)

Multi-modal MRI-Based Alzheimer's Disease Diagnosis with Transformer-based Image Synthesis and Transfer Learning
di: Qiu, Jason
Pubblicazione: (2026)

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

Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
di: Leutenegger, Nils
Pubblicazione: (2026)