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Advancing Volumetric Medical Image Segmentation via Global-Local Masked
  Autoencoder
v1v2 (latest)

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder

15 June 2023
Jiafan Zhuang
Luyang Luo
Hao Chen
ArXiv (abs)PDFHTML

Papers citing "Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder"

4 / 4 papers shown
Title
Revisiting MAE pre-training for 3D medical image segmentation
Revisiting MAE pre-training for 3D medical image segmentation
Tassilo Wald
Constantin Ulrich
Stanislav Lukyanenko
Andrei Goncharov
Alberto Paderno
Leander Maerkisch
Paul F. Jäger
Paul F. Jäger
Klaus Maier-Hein
127
2
0
30 Oct 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
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
128
4
0
24 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej A. Mazurowski
MedImVLM
146
21
0
15 Apr 2024
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
352
4,115
0
17 Jun 2020
1