Cover Image

Unified Multimodal Brain Decoding via Cross-Subject Soft-ROI Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hu, Xuanyu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Alzheimer's Diagnosis via Multimodal Fusion of Regional Brain Experts
by: Zhuang, Farica, et al.
Published: (2025)

Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability
by: Nantogmah, Muhaisin Tiyumba, et al.
Published: (2025)

Visible and Infrared Image Fusion Using Encoder-Decoder Network
by: Ataman, Ferhat Can, et al.
Published: (2024)

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
by: Xu, Jiaxing, et al.
Published: (2024)

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)

Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images
by: Chen, Junfu, et al.
Published: (2021)

MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
by: Zhan, Chenlu, et al.
Published: (2024)

Conditional Controllable Image Fusion
by: Cao, Bing, et al.
Published: (2024)

Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts
by: Dorent, Reuben, et al.
Published: (2024)

The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
by: Kofler, Florian, et al.
Published: (2023)

Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI
by: Zeineldin, Ramy A., et al.
Published: (2024)

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors
by: Zeineldin, Ramy A., et al.
Published: (2024)

HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
by: Duenias, Daniel, et al.
Published: (2024)

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
by: Bohara, Prabin, et al.
Published: (2026)

FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
by: Kumar, Nishant, et al.
Published: (2024)

Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
by: Zhang, Mingda
Published: (2025)

SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
by: Carannante, Giuseppina, et al.
Published: (2021)

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

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
by: Ma, Jiabo, et al.
Published: (2024)

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
by: Du, Chenhe, et al.
Published: (2026)

BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases
by: Awais, Muhammad, et al.
Published: (2024)

SVFR: A Unified Framework for Generalized Video Face Restoration
by: Wang, Zhiyao, et al.
Published: (2025)

Brain Tumor Radiogenomic Classification
by: Mohamed, Amr, et al.
Published: (2024)

RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
by: Zhu, Shen, et al.
Published: (2025)

FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis
by: Xiao, Xiaojiao, et al.
Published: (2025)

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

Detection and Classification of Glioblastoma Brain Tumor
by: Maurya, Utkarsh, et al.
Published: (2023)

Extended Cross-Modality United Learning for Unsupervised Visible-Infrared Person Re-identification
by: Wu, Ruixing, et al.
Published: (2024)

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction
by: Qiu, Peijie, et al.
Published: (2024)

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
by: Wang, Jiacheng, et al.
Published: (2024)

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

A Graphical Approach For Brain Haemorrhage Segmentation
by: Mehendale, Ninad, et al.
Published: (2022)

Advancing Brain Tumor Inpainting with Generative Models
by: Zhu, Ruizhi, et al.
Published: (2024)

Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
by: Galdran, Adrian
Published: (2024)

Confidence Intervals for Performance Estimates in Brain MRI Segmentation
by: Jurdi, R. El, et al.
Published: (2023)

Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video Generation
by: Buzovkin, Alexey, et al.
Published: (2025)

Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
by: Daniels, Mara, et al.
Published: (2020)

Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
by: Ma, Yiyang, et al.
Published: (2024)

CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue Segmentation
by: Xing, Qilong, et al.
Published: (2025)

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)