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UNetFormer: A Unified Vision Transformer Model and Pre-Training
  Framework for 3D Medical Image Segmentation

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation

1 April 2022
Ali Hatamizadeh
Ziyue Xu
Dong Yang
Wenqi Li
H. Roth
Daguang Xu
    ViT
    MedIm
ArXivPDFHTML

Papers citing "UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation"

3 / 3 papers shown
Title
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Pengchen Liang
Bin Pu
Haishan Huang
Yiwei Li
H. Wang
Weibo Ma
Qing Chang
VLM
MedIm
101
0
0
24 Feb 2025
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
663
0
24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
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
1