Mu-Han Lin
According to our database1,
Mu-Han Lin
authored at least 14 papers
between 2018 and 2023.
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Bibliography
2023
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer.
CoRR, 2023
2022
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation.
CoRR, 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.
CoRR, 2022
2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Medical Image Anal., 2021
CoRR, 2021
CoRR, 2021
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study.
CoRR, 2021
2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
CoRR, 2020
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices.
CoRR, 2020
2019
Application of deep neural networks for automatic planning in radiation oncology treatments.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations.
CoRR, 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture.
CoRR, 2018