Zelan Li
Orcid: 0000-0003-0156-6084
According to our database1,
Zelan Li authored at least 13 papers
between 2023 and 2026.
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Bibliography
2026
IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry.
Medical Image Anal., 2026
2025
Adaptive box-level supervision with superpixel shape guidance for ultrasound image segmentation.
Vis. Comput., July, 2025
Coarse for Fine: Bounding Box Supervised Thyroid Ultrasound Image Segmentation Using Spatial Arrangement and Hierarchical Prediction Consistency.
IEEE J. Biomed. Health Informatics, June, 2025
Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses.
CoRR, February, 2025
Dynamic complementary dual-teacher: A novel framework for semi-supervised thyroid nodule segmentation.
Neurocomputing, 2025
Progressive Semi-supervised Landmark Detection Algorithm For Intrapartum Ultrasound Measurement.
Proceedings of the Intrapartum Ultrasound - MICCAI 2025 Grand Challenge, 2025
Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
UGDT-SR: Uncertainty-Guided Diffusion Transformer for Ultrasound Image Super-Resolution.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
MedCMCL-VLP: A Cross-Modal Dual-Phase Progressive Curriculum Learning Vision-Language Pre-Training Framework for Radiology Zero-Shot Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Ofl-Md: Exploring One-Shot Federated Learning for Melanoma Diagnosis With Pre-Trained Diffusion Model Clip.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Multi-View Interactive Interference Training Based on Cross-Network Uncertainty for Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Clustering Multimodal Ensemble Learning for Predicting Gastric Cancer Neoadjuvant Chemotherapy Efficacy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Comput. Biol. Medicine, February, 2023