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Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for
  Medical Image Segmentation

Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation

10 March 2023
Ho Hin Lee
Quan Liu
Shunxing Bao
Qi Yang
Xin Yu
L. Cai
Thomas Z. Li
Yuankai Huo
X. Koutsoukos
Bennett A. Landman
ArXivPDFHTML

Papers citing "Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation"

3 / 3 papers shown
Title
BiomedParse: a biomedical foundation model for image parsing of
  everything everywhere all at once
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao
Yu Gu
Jianwei Yang
Naoto Usuyama
Ho Hin Lee
...
B. Piening
Carlo Bifulco
Mu-Hsin Wei
Hoifung Poon
Sheng Wang
MedIm
31
22
0
21 May 2024
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical
  Transformer for Medical Image Segmentation
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
OOD
MedIm
45
131
0
29 Sep 2022
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,531
0
11 Jan 2021
1