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Computers in Biology and Medicine|October 5, 2023
Masked image modeling-based boundary reconstruction for 3D medical image segmentationChang Liu, Yuanzhi Cheng, Shinichi Tamura
IEEE Journal of Biomedical and Health Informatics|May 30, 2023
Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality ClassificationZean Liu, Yuanzhi Cheng, Shinichi Tamura
IEEE Transactions on Medical Imaging|December 18, 2025
Deep Hierarchy-Aware Segmentation: A Novel Framework for MRIs Brain Tumor SegmentationYuanzhi Cheng, Zean Liu, Shinichi Tamura
Computers in Biology and Medicine|July 30, 2024
Shape prior-constrained deep learning network for medical image segmentationPengfei Zhang, Yuanzhi Cheng, Shinichi Tamura
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 11, 2015
Accurate vessel segmentation with constrained B-snakeYuanzhi Cheng, Xin Hu, Ji Wang, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2012
Accuracy limits for the thickness measurement of the hip joint cartilage in 3-D MR images: simulation and validationYuanzhi Cheng, Changyong Guo, Yadong Wang, et al.
International Journal of Computer Assisted Radiology and Surgery|December 10, 2015
Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT imagesJinke Wang, Yuanzhi Cheng, Changyong Guo, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 28, 2011
An analysis algorithm for accurate determination of articular cartilage thickness of hip joint from MR imagesYuanzhi Cheng, Quan Jin, Jie Zhao, et al.
Computer Assisted Surgery (Abingdon, England)|August 13, 2019
Patient-specific probabilistic atlas combining modified distance regularized level set for automatic liver segmentation in CTJinke Wang, Hongliang Zu, Haoyan Guo, et al.
Medical Image Analysis|March 11, 2017
Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentationChangfa Shi, Yuanzhi Cheng, Jinke Wang, et al.
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