Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization. - Peng Liu 050; Guoyan Zheng (MLMI@MICCAI, 2021)

Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ Segmentation. - Peng Liu 050; Guoyan Zheng (MICCAI (4), 2022)

Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks. - Peng Liu 050; Miao Zhang; Xiaoru Gao; Biao Li; Guoyan Zheng (IEEE Access, 2022)

Entropy and distance maps-guided segmentation of articular cartilage: data from the Osteoarthritis Initiative. - Zezhong Li; Kangming Chen; Peng Liu 050; Xiaodong Chen; Guoyan Zheng (Int. J. Comput. Assist. Radiol. Surg., 2022)

KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation. - Kangqing Ye; Peng Liu 050; Qin Zhou 002; Guoyan Zheng (CoRR, 2022)

Handling Imbalanced Data: Uncertainty-Guided Virtual Adversarial Training With Batch Nuclear-Norm Optimization for Semi-Supervised Medical Image Classification. - Peng Liu 050; Guoyan Zheng (IEEE J. Biomed. Health Informatics, 2022)

Partially Supervised Multi-organ Segmentation via Affinity-Aware Consistency Learning and Cross Site Feature Alignment. - Qin Zhou 002; Peng Liu 050; Guoyan Zheng (MICCAI (2), 2023)

Context-Aware Cutmix is All You Need for Universal Organ and Cancer Segmentation. - Qin Zhou 002; Peng Liu 050; Guoyan Zheng (FLARE@MICCAI, 2023)

C3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation. - Peng Liu 050; Guoyan Zheng (CoRR, 2023)

CVCL: Context-aware Voxel-wise Contrastive Learning for label-efficient multi-organ segmentation. - Peng Liu 050; Guoyan Zheng (Comput. Biol. Medicine, 2023)