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Latest Research Papers in Radiotherapy using Deep Learning
Hot Radiotherapy Research Papers using Deep Learning
Latest Research Papers in Radiotherapy using Deep Learning
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A Deep Learning-Based Radiomics Approach to Predict Head and Neck Tumor Regression for Adaptive Radiotherapy-[2022]
Deep Learning for Radiotherapy Outcome Prediction using Dose Data - A Review-[2022]
Deep Learning-Based Auto-Segmentation of Clinical Target Volumes for Radiotherapy Treatment of Cervical Cancer-[2022]
Development of Deep Learning Chest X-Ray Model for Cardiac Dose Prediction in Left-Sided Breast Cancer Radiotherapy-[2022]
Deep Learning Based Synthetic-CT Generation in Radiotherapy and Pet: A Review-[2021]
Deep Learning Methods to Generate Synthetic CT from MRI in Radiotherapy: A Literature Review-[2021]
Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy-[2021]
The Application and Development of Deep Learning in Radiotherapy: A Systematic Review-[2021]
A Deep Learning Approach to Generate Synthetic CT in Low Field Mr-Guided Adaptive Radiotherapy for Abdominal and Pelvic Cases-[2020]
A Method of Using Deep Learning to Predict Three-Dimensional Dose Distributions for Intensity-Modulated Radiotherapy of Rectal Cancer-[2020]
A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning-[2020]
Boosting Radiotherapy Dose Calculation Accuracy with Deep Learning-[2020]
Deep Learning-Based Synthetic CT Generation for Paediatric Brain MR-Only Photon and Proton Radiotherapy-[2020]
Facial Expression Monitoring System for Predicting Patient-s Sudden Movement During Radiotherapy Using Deep Learning-[2020]
A Feasibility Study on an Automated Method to Generate Patient-Specific Dose Distributions for Radiotherapy Using Deep Learning-[2019]
An Image-Based Deep Learning Framework for Individualising Radiotherapy Dose: A Retrospective Analysis of Outcome Prediction-[2019]
Deep Learning Derived Tumor Infiltration Maps for Personalized Target Definition in Glioblastoma Radiotherapy-[2019]
Deep-Learning-Based Detection and Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Computed Tomographic Images for Radiotherapy Planning-[2019]
MRI Super-Resolution Reconstruction for MRI-Guided Adaptive Radiotherapy Using Cascaded Deep Learning: in the Presence of Limited Training Data and Unknown Translation Model-[2019]
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting-[2019]
Deep Learning to Achieve Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy-[2018]
Fully Automatic and Robust Segmentation of the Clinical Target Volume for Radiotherapy of Breast Cancer Using Big Data and Deep Learning-[2018]
Survey on Deep Learning for Radiotherapy-[2018]
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