M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

9 March 2023

Papers citing "M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities"

6 / 6 papers shown

Title
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness Chuang Zhao Hui Tang Hongke Zhao Xiaomeng Li DiffM MedIm 7 0 0 17 May 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities Lucas Robinet Ahmad Berjaoui Elizabeth Cohen-Jonathan Moyal 26 0 0 01 May 2025
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization Zhaorui Tan Xi Yang Tan Pan Tianyi Liu Chen Jiang ... Qiufeng Wang Anh Nguyen Yuan Qi K. Huang Yuan Cheng AI4CE LM&MA 39 0 0 09 Nov 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities Tongxue Zhou S. Canu P. Vera S. Ruan MedIm 41 42 0 08 Nov 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification Yixiao Ge Xiao Zhang Ching Lam Choi Ka Chun Cheung Peipei Zhao Feng Zhu Xiaogang Wang Rui Zhao Hongsheng Li FedML UQCV 135 25 0 27 Apr 2021