Cover Image

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Guoyan, Zhou, Qin, Chen, Jingyuan, Huang, Bingcang, Chen, Kai, Gu, Lin, Wang, Zhe, Wu, Sai, Yao, Chang
Format:	Preprint
Published:	2025
Subjects:	Methodology Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
by: Zhou, Qin, et al.
Published: (2025)

AMGFormer: Adaptive Multi-Granular Transformer for Brain Tumor Segmentation with Missing Modalities
by: Guo, Chengxiang, et al.
Published: (2026)

Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
by: Zhang, Zheyu, et al.
Published: (2024)

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment
by: Liu, Tianyi, et al.
Published: (2024)

Time Series Generative Learning with Application to Brain Imaging Analysis
by: Li, Zhenghao, et al.
Published: (2024)

A Ridgelet Approach to Poisson Denoising
by: Dadras, Ali, et al.
Published: (2024)

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
by: Lim, Minjoo, et al.
Published: (2025)

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)

Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor Segmentation
by: Chen, Dong, et al.
Published: (2025)

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)

Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
by: Sun, Zhongao, et al.
Published: (2024)

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder
by: Zhu, Shenghao, et al.
Published: (2024)

Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention
by: Huang, Yonghao, et al.
Published: (2025)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
by: Mazher, Moona, et al.
Published: (2025)

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)

Robust Divergence Learning for Missing-Modality Segmentation
by: Cheng, Runze, et al.
Published: (2024)

impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction
by: Boyko, Maria, et al.
Published: (2025)

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation
by: Ma, Xiaowen, et al.
Published: (2025)

An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
by: Xie, Lei, et al.
Published: (2025)

Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
by: Huo, Guohao, et al.
Published: (2025)

Compressed sensing with a jackknife and a bootstrap
by: Tygert, Mark, et al.
Published: (2018)

Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
by: Sprunck, Tom, et al.
Published: (2025)

Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
by: Wolkerstorfer, Gloria, et al.
Published: (2026)

Distributed U-net model and Image Segmentation for Lung Cancer Detection
by: Hu, Tianzuo
Published: (2025)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation
by: Chen, Yanbing, et al.
Published: (2024)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
by: Zhou, Qin, et al.
Published: (2026)

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
by: Yavari, Sara, et al.
Published: (2025)

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
by: Behzadpour, Majid, et al.
Published: (2025)

Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
by: Sadegheih, Yousef, et al.
Published: (2024)

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble
by: Capellán-Martín, Daniel, et al.
Published: (2025)

SegRet: An Efficient Design for Semantic Segmentation with Retentive Network
by: Li, Zhiyuan, et al.
Published: (2025)

Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
by: Borrego, Lucia, et al.
Published: (2026)

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
by: Yao, Wenfang, et al.
Published: (2024)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
by: Li, Hongwei Bran, et al.
Published: (2023)