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Xiangde Luo

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

Aug 19, 2022
Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang

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* 10 pages, 5 figures

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PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

Aug 11, 2022
Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang

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* 10 pages, 9 figures, 3 tables

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Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Mar 04, 2022
Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang

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* 11 pages, 4 figures,code is available: https://github.com/HiLab-git/WSL4MIS.This is a comprehensive study about scribble-supervised medical image segmentation based on the ACDC dataset

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Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Dec 09, 2021
Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang

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* A technical report about SSL4MIS:https://github.com/HiLab-git/SSL4MIS

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WORD: Revisiting Organs Segmentation in the Whole Abdominal Region

Nov 17, 2021
Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang

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* Tech report (10pages, 4 figures and 7 tables), work is ongoing, any comments and suggestions are welcome, https://github.com/HiLab-git/WORD

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Few-Shot Domain Adaptation with Polymorphic Transformers

Jul 10, 2021
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Ting, Rick Siow Mong Goh

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* MICCAI'2021 camera ready

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Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Jun 02, 2021
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Goh

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* Camera ready for IJCAI'2021

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