Peng Liu
Orcid: 0000-0001-5437-1294Affiliations:
- Shanghai Jiao Tong University, Shanghai, China
According to our database1,
Peng Liu
authored at least 10 papers
between 2021 and 2023.
Collaborative distances:
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Bibliography
2023
CVCL: Context-aware Voxel-wise Contrastive Learning for label-efficient multi-organ segmentation.
Comput. Biol. Medicine, June, 2023
C<sup>3</sup>PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation.
CoRR, 2023
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Partially Supervised Multi-organ Segmentation via Affinity-Aware Consistency Learning and Cross Site Feature Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Handling Imbalanced Data: Uncertainty-Guided Virtual Adversarial Training With Batch Nuclear-Norm Optimization for Semi-Supervised Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2022
CoRR, 2022
Entropy and distance maps-guided segmentation of articular cartilage: data from the Osteoarthritis Initiative.
Int. J. Comput. Assist. Radiol. Surg., 2022
Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks.
IEEE Access, 2022
Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021