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Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks

Medical physics (Lancaster), 2017-12, Vol.44 (12), p.6377-6389

2017

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A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

Medical physics (Lancaster), 2019-01, Vol.46 (1), p.56-64

2019

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Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

Frontiers in oncology, 2017-12, Vol.7, p.315-315

2017

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A deep learning method for prediction of three‐dimensional dose distribution of helical tomotherapy

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.1972-1983

2019

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Transcriptome-based signature predicts the effect of taxol in serous ovarian cancer

PloS one, 2018-03, Vol.13 (3), p.e0192812-e0192812

2018

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Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

Journal of medical Internet research, 2021-08, Vol.23 (8), p.e27235

2021

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Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Frontiers in oncology, 2019-04, Vol.9, p.269-269

2019

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Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning

Physica medica, 2018-06, Vol.50, p.13-19

2018

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Four-Dimensional Cone-Beam Computed Tomography Image Compression Using Video Encoder for Radiotherapy

Journal of digital imaging, 2020-10, Vol.33 (5), p.1292-1300

2020

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Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer

Frontiers in oncology, 2020-09, Vol.10, p.564737-564737

2020

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Reconstructing a 3D Medical Image from a Few 2D Projections Using a B-Spline-Based Deformable Transformation

Mathematics (Basel), 2023-01, Vol.11 (1), p.69

2023

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A Novel Gelatin-Based Sustained-Release Molluscicide for Control of the Invasive Agricultural Pest and Disease Vector Pomacea canaliculata

Molecules (Basel, Switzerland), 2022-07, Vol.27 (13), p.4268

2022

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Effect of human papillomavirus infection on the immune system and its role in the course of cervical cancer

Oncology letters, 2015-08, Vol.10 (2), p.600-606

2015

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DVHnet: A deep learning‐based prediction of patient‐specific dose volume histograms for radiotherapy planning

Medical physics (Lancaster), 2021-06, Vol.48 (6), p.2705-2713

2021

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Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system

Journal of applied clinical medical physics, 2020-07, Vol.21 (7), p.119-127

2020

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A deep learning‐based dual‐omics prediction model for radiation pneumonitis

Medical physics (Lancaster), 2021-10, Vol.48 (10), p.6247-6256

2021

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Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma

Radiation oncology (London, England), 2023-11, Vol.18 (1), p.1-182, Article 182

2023

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Machine Log File and Calibration Errors-based Patient-specific Quality Assurance (QA) for Volumetric Modulated Arc Therapy (VMAT)

Current pharmaceutical design, 2023-01, Vol.29 (34), p.2738

2023

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Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy

Radiation oncology (London, England), 2023-10, Vol.18 (1), p.1-170, Article 170

2023

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MRI-Only Radiotherapy Planning for Nasopharyngeal Carcinoma Using Deep Learning

Frontiers in oncology, 2021-09, Vol.11, p.713617-713617

2021

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Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Frontiers in oncology, 2020-01, Vol.9, p.1500-1500

2020

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Application of piecewise VMAT technique to whole-brain radiotherapy with simultaneous integrated boost for multiple metastases

Radiation oncology (London, England), 2022-05, Vol.17 (1), p.86-86, Article 86

2022

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CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy

Frontiers in oncology, 2020-04, Vol.10, p.524-524

2020

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Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning

Frontiers in oncology, 2023-02, Vol.13, p.1041769-1041769

2023

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A comprehensive evaluation of angular range and separation on image quality, image registration, and imaging dose for cone beam computed tomography in radiotherapy

Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 2019-01, Vol.44 (1), p.67-73

2019

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Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks

A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

A deep learning method for prediction of three‐dimensional dose distribution of helical tomotherapy

Transcriptome-based signature predicts the effect of taxol in serous ovarian cancer

Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning

Four-Dimensional Cone-Beam Computed Tomography Image Compression Using Video Encoder for Radiotherapy

Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer

Reconstructing a 3D Medical Image from a Few 2D Projections Using a B-Spline-Based Deformable Transformation

A Novel Gelatin-Based Sustained-Release Molluscicide for Control of the Invasive Agricultural Pest and Disease Vector Pomacea canaliculata

Effect of human papillomavirus infection on the immune system and its role in the course of cervical cancer

DVHnet: A deep learning‐based prediction of patient‐specific dose volume histograms for radiotherapy planning

Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system

A deep learning‐based dual‐omics prediction model for radiation pneumonitis

Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma

Machine Log File and Calibration Errors-based Patient-specific Quality Assurance (QA) for Volumetric Modulated Arc Therapy (VMAT)

Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy

MRI-Only Radiotherapy Planning for Nasopharyngeal Carcinoma Using Deep Learning

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Application of piecewise VMAT technique to whole-brain radiotherapy with simultaneous integrated boost for multiple metastases

CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy

Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning

A comprehensive evaluation of angular range and separation on image quality, image registration, and imaging dose for cone beam computed tomography in radiotherapy

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