Kuo Men

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

Bo Chen, Tao Zhang, Xinyuan Chen, 2020, Frontiers in Oncology.

Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning

Kuo Men, Ying Xiao, Huaizhi Geng, 2020, Frontiers in Oncology.

Clinical Feasibility of Soft-Tissue Matching in Cone-Beam Computed Tomography (CBCT) Guidance for Liver Cancer Patients

Kuo Men, Jianrong Dai, Shengchao Jiao, 2013 .

A Deep Learning Model to Predict Dose-Volume Histograms of Organs at Risk in Radiotherapy Treatment Plans.

Kuo Men, Zhiqiang Liu, Jianrong Dai, 2020, Medical physics.

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

Tao Zhang, Yu Tang, Kuo Men, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

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

Kuo Men, Jianrong Dai, Ye-Xiong Li, 2017, Medical physics.

Selection, installation, and acceptance test of MRI simulator

Kuo Men, Xinyuan Chen, Yixin Song, 2017 .

Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort.

Kuo Men, Ji Zhu, Xinyuan Chen, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

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

Tao Zhang, Ye Zhang, Kuo Men, 2017, Front. Oncol..

Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

Yong Fan, Kuo Men, Ying Xiao, 2018, Medical physics.

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

Kuo Men, Jianrong Dai, Xinyuan Chen, 2018, Medical physics.

A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer

Yong Fan, Kuo Men, Ying Xiao, 2019, Journal of applied clinical medical physics.

A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial.

Yong Fan, Kuo Men, Ying Xiao, 2019, International journal of radiation oncology, biology, physics.