Cover Image

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dahan, Simon, Williams, Logan Z. J., Guo, Yourong, Rueckert, Daniel, Robinson, Emma C.
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Multiscale Surface Vision Transformer
by: Dahan, Simon, et al.
Published: (2023)

Cortical Surface Diffusion Generative Models
by: Xie, Zhenshan, et al.
Published: (2024)

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis
by: Dahan, Simon, et al.
Published: (2022)

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

TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
by: Jian, Bailiang, et al.
Published: (2025)

MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
by: Xu, Rui, et al.
Published: (2024)

MAMOC: MRI Motion Correction via Masked Autoencoding
by: Van der Goten, Lennart Alexander, et al.
Published: (2024)

Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments
by: Favero, Gian Mario, et al.
Published: (2025)

Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
by: Dack, Ethan, et al.
Published: (2025)

Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
by: Hackstein, Jakob, et al.
Published: (2024)

Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
by: Zheng, Jie, et al.
Published: (2024)

HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder
by: Jeong, Wooyoung, et al.
Published: (2025)

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
by: Yang, Hao-Chun, et al.
Published: (2023)

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
by: Madan, Chetan, et al.
Published: (2025)

Spatio-Temporal Turbulence Mitigation: A Translational Perspective
by: Zhang, Xingguang, et al.
Published: (2024)

FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
by: Basu, Soumen, et al.
Published: (2024)

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI
by: Prokopenko, Denis, et al.
Published: (2024)

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
by: Beizaee, Farzad, et al.
Published: (2025)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
by: Das, Badhan Kumar, et al.
Published: (2025)

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
by: Ding, Yuexing, et al.
Published: (2024)

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
by: Munk, Asbjørn, et al.
Published: (2024)

DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
by: Zhang, Jiong, et al.
Published: (2024)

SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking
by: Wang, Jian, et al.
Published: (2024)

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
by: Danier, Duolikun, et al.
Published: (2021)

Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
by: Fang, Zheng, et al.
Published: (2025)

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images
by: Jiang, Menghui, et al.
Published: (2021)

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis
by: Dong, Wenhao, et al.
Published: (2024)

Reliability-Aware Weighted Multi-Scale Spatio-Temporal Maps for Heart Rate Monitoring
by: Bairagi, Arpan, et al.
Published: (2026)

Applications of interpretable deep learning in neuroimaging: a comprehensive review
by: Munroe, Lindsay, et al.
Published: (2024)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)

Intensity-based 3D motion correction for cardiac MR images
by: Stolt-Ansó, Nil, et al.
Published: (2024)

Echo-E$^3$Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation
by: Heidari, Moein, et al.
Published: (2025)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
by: Avci, Mehmet Yigit, et al.
Published: (2024)

Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
by: Dakic, Kosta, et al.
Published: (2024)

NeuralLVC: Neural Lossless Video Compression via Masked Diffusion with Temporal Conditioning
by: Uricchio, Tiberio, et al.
Published: (2026)

A Deep Learning Architecture for Land Cover Mapping Using Spatio-Temporal Sentinel-1 Features
by: Russo, Luigi, et al.
Published: (2025)

STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
by: Zhang, Wei, et al.
Published: (2024)

The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning
by: Mo, Shentong
Published: (2024)

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
by: Liang, Ziyun, et al.
Published: (2024)