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RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random
  Anatomical Prior
v1v2 (latest)

RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior

IEEE International Symposium on Biomedical Imaging (ISBI), 2020
23 December 2020
Ho Hin Lee
Yucheng Tang
Shunxing Bao
R. Abramson
Yuankai Huo
Bennett A. Landman
    SSeg
ArXiv (abs)PDFHTML

Papers citing "RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior"

8 / 8 papers shown
Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
Ho Hin Lee
Quan Liu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
MedIm
280
0
0
26 May 2025
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image
  Segmentation with Depthwise Deformable Convolution
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
Ho Hin Lee
Quan Liu
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
MedIm
464
4
0
30 Sep 2023
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas
Yinchi Zhou
Ho Hin Lee
Yucheng Tang
Xin Yu
Qi Yang
Shunxing Bao
J. Spraggins
Yuankai Huo
Bennett A. Landman
172
2
0
02 Jun 2023
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
373
10
0
01 Mar 2023
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase
  Organ Segmentation
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation
Ho Hin Lee
Yucheng Tang
Han Liu
Yubo Fan
L. Cai
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
276
1
0
16 Oct 2022
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 SegmentationInternational Conference on Learning Representations (ICLR), 2022
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
OODMedIm
620
233
0
29 Sep 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast
  Organ-Aware Segmentation
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation
Ho Hin Lee
Yucheng Tang
Riqiang Gao
Qi Yang
Xin Yu
Shunxing Bao
J. Terry
J. Carr
Yuankai Huo
Bennett A. Landman
141
2
0
12 May 2022
Semantic-Aware Contrastive Learning for Multi-object Medical Image
  Segmentation
Semantic-Aware Contrastive Learning for Multi-object Medical Image SegmentationIEEE journal of biomedical and health informatics (JBHI), 2021
Ho Hin Lee
Yucheng Tang
Qi Yang
Xin Yu
Shunxing Bao
L. Cai
Lucas W. Remedios
Bennett A. Landman
Yuankai Huo
332
11
0
03 Jun 2021
1
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