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Xiangde Luo

Showing results (1-10 of 28) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 22, 2025
A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image SegmentationJianghao Wu, Xiangde Luo, Yubo Zhou, et al.
IEEE Transactions on Medical Imaging|April 6, 2023
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge DistillationShuwei Zhai, Guotai Wang, Xiangde Luo, et al.
Scientific Reports|February 5, 2025
Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learningWenjun Liao, Xiangde Luo, Lu Li, et al.
Medical Image Analysis|July 23, 2024
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentationMeng Han, Xiangde Luo, Xiangjiang Xie, et al.
IEEE Transactions on Medical Imaging|October 9, 2025
Source-Free Active Domain Adaptation via Influential-Points-Guided Progressive Teacher for Medical Image SegmentationYong Chen, Xiangde Luo, Renyi Chen, et al.
Medical Image Analysis|July 6, 2023
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentationZhe Xu, Yixin Wang, Donghuan Lu, et al.
IEEE Journal of Biomedical and Health Informatics|May 6, 2022
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective TrainingShuojue Yang, Guotai Wang, Hui Sun, et al.
Medical Image Analysis|November 3, 2021
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matchingXiangde Luo, Tao Song, Guotai Wang, et al.
Computer Methods and Programs in Biomedicine|February 11, 2023
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationGuotai Wang, Xiangde Luo, Ran Gu, et al.
Medical Image Analysis|June 12, 2021
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learningXiangde Luo, Guotai Wang, Tao Song, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

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Pageof 3
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 22, 2025
A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image SegmentationJianghao Wu, Xiangde Luo, Yubo Zhou, et al.
IEEE Transactions on Medical Imaging|April 6, 2023
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge DistillationShuwei Zhai, Guotai Wang, Xiangde Luo, et al.
Scientific Reports|February 5, 2025
Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learningWenjun Liao, Xiangde Luo, Lu Li, et al.
Medical Image Analysis|July 23, 2024
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentationMeng Han, Xiangde Luo, Xiangjiang Xie, et al.
IEEE Transactions on Medical Imaging|October 9, 2025
Source-Free Active Domain Adaptation via Influential-Points-Guided Progressive Teacher for Medical Image SegmentationYong Chen, Xiangde Luo, Renyi Chen, et al.
Medical Image Analysis|July 6, 2023
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentationZhe Xu, Yixin Wang, Donghuan Lu, et al.
IEEE Journal of Biomedical and Health Informatics|May 6, 2022
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective TrainingShuojue Yang, Guotai Wang, Hui Sun, et al.
Medical Image Analysis|November 3, 2021
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matchingXiangde Luo, Tao Song, Guotai Wang, et al.
Computer Methods and Programs in Biomedicine|February 11, 2023
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationGuotai Wang, Xiangde Luo, Ran Gu, et al.
Medical Image Analysis|June 12, 2021
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learningXiangde Luo, Guotai Wang, Tao Song, et al.
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