Wenjun Liao
Orcid: 0000-0002-8907-7615
According to our database1,
Wenjun Liao
authored at least 18 papers
between 2013 and 2024.
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Bibliography
2024
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation.
Medical Image Anal., 2024
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation.
Neurocomputing, 2024
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases.
CoRR, 2024
2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
IEEE Trans. Medical Imaging, September, 2023
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals.
CoRR, 2023
Advancing Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing Source-Free Domain Adaptation in Nasopharyngeal Carcinoma.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Medical Image Anal., 2022
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.
CoRR, 2020
2019
2013
Proceedings of the 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013