Yiwen Ye

Orcid: 0009-0009-4445-3419

According to our database1, Yiwen Ye authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
Medical Image Anal., January, 2024

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation.
CoRR, 2024

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model.
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

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation.
CoRR, 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

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
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
CoRR, 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

Study on the cross-section design models for tunnel reconstruc-tion and expansion.
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023

2022
MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation.
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

Boundary-Aware Network for Kidney Parsing.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

2021
The Effect of Oral Practice via Chatbot on Students' Oral English Accuracy.
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


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