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Mu-Han Lin

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer

Feb 03, 2023
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Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation

Nov 19, 2022
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Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy

Oct 11, 2022
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Registration-Guided Deep Learning Image Segmentation for Cone Beam CT-based Online Adaptive Radiotherapy

Aug 19, 2021
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A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision

Jul 28, 2021
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Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks

Jun 15, 2021
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Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study

Feb 01, 2021
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Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks

Nov 01, 2020
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Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices

Jun 30, 2020
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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

Apr 28, 2020
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