ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised
Medical Image Representations

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations

18 January 2023

Chinmay Prabhakar

Hongwei Bran Li

Benedikt Wiestler

Bjoern H. Menze

Papers citing "ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations"

6 / 6 papers shown

Title
Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Yasmine Mustafa Mohamed Elmahallawy Tie-Mei Luo MedIm 59 0 0 20 Nov 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis Jiaxin Zhuang Linshan Wu Qiong Wang V. Vardhanabhuti Lin Luo Hao Chen Hao Chen 54 4 0 24 Apr 2024
General surgery vision transformer: A video pre-trained foundation model for general surgery Samuel Schmidgall Ji Woong Kim Jeffery Jopling Axel Krieger ViT MedIm 34 5 0 09 Mar 2024
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images Chinmay Prabhakar Hongwei Bran Li Johannes C. Paetzold T. Loehr Chen Niu Mark Muhlau Daniel Rueckert Benedikt Wiestler Bjoern H. Menze MedIm AI4CE 21 5 0 31 Aug 2023
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
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014