Yiwen Ye
Orcid: 0009-0003-7558-926X
According to our database1,
Yiwen Ye authored at least 33 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
From Few to More: Scribble-Based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels.
IEEE J. Biomed. Health Informatics, March, 2026
SegRap2025: A benchmark of gross tumor volume and lymph node clinical target volume Segmentation for Radiotherapy Planning of nasopharyngeal carcinoma.
Medical Image Anal., 2026
Towards structured knowledge extraction from lecture videos via multi-model collaboration.
Expert Syst. Appl., 2026
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation.
CoRR, September, 2025
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation.
CoRR, September, 2025
Int. J. Comput. Vis., May, 2025
CADS: A Self-Supervised Learner via Cross-Modal Alignment and Deep Self-Distillation for CT Volume Segmentation.
IEEE Trans. Medical Imaging, January, 2025
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
Medical Image Anal., 2025
Enjoying Information Dividend: Gaze Track-Based Medical Weakly Supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup.
IEEE J. Biomed. Health Informatics, September, 2024
Medical Image Anal., January, 2024
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation.
CoRR, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR, 2024
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training.
CoRR, 2024
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels.
CoRR, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation.
Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
2021
Proceedings of the Emerging Technologies for Education - 6th International Symposium, 2021
2020
Improving Accuracy in Imitating and Reading Aloud via Speech Visualization Technology.
Int. J. Emerg. Technol. Learn., 2020