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"

5 / 5 papers shown

Title
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-Chia Cheng AI4CE LM&MA 36 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 305 7,434 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 33 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 127 25 0 27 Apr 2021