Author of the publication

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

, , , , , , , , and . CoRR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy., , , , , , , , , and 2 other author(s). CoRR, (2022)Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture., , , , , , and . CoRR, (2018)Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices., , , , , , , and . CoRR, (2020)A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision., , , , , , , , , and . CoRR, (2021)A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy., , , , , , , , , and 2 other author(s). CoRR, (2020)Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations., , , , , , and . CoRR, (2018)Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks., , , , , , , , and . CoRR, (2021)Region Specific Optimization (RSO)-based Deep Interactive Registration., , , , , , , and . CoRR, (2022)Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation., , , , , and . CoRR, (2022)Application of deep neural networks for automatic planning in radiation oncology treatments., , , , , , and . ESANN, (2019)