Kuo Men

2.0k citations

85 papers · 1.4k indexed · h-index 16

Impact in

Radiation top 0.5%
- Advanced Radiotherapy Techniques
Health Informatics top 2%

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 68
- Medical Imaging Techniques and Applications 43
- Radiomics and Machine Learning in Medical Imaging 26
- Advanced MRI Techniques and Applications 8
Radiation 66
- Advanced Radiotherapy Techniques 65

Co-authors: Ye‐Xiong Li (17 shared papers)Jianrong Dai (14 shared papers)Junlin Yi (13 shared papers)Jianrong Dai (20 shared papers)Xinyuan Chen (12 shared papers)H. Geng (5 shared papers)Ying Xiao (5 shared papers)Shulian Wang (10 shared papers)
Journals: Medical Physics (18 papers)Frontiers in Oncology (15 papers)Physica Medica (13 papers)Journal of Applied Clinical Medical Physics (7 papers)Radiotherapy and Oncology (6 papers)
Partner nations: China United States Netherlands

In The Last Decade

Kuo Men

77 papers receiving 1.4k citations

Peers

Countries citing papers authored by Kuo Men

Since Specialization

Citations

This map shows the geographic impact of Kuo Men's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuo Men with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo Men more than expected).

Fields of papers citing papers by Kuo Men

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo Men. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuo Men. The network helps show where Kuo Men may publish in the future.

Co-authors

The 25 scholars most cited alongside Kuo Men, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kuo Men Line = papers co-authored together Kuo Men links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Automatic segmentation of the clinical target volume and organs at risk in the planningCTfor rectal cancer using deep dilated convolutional neural networks Medical Physics ·Kuo Men, Jianrong Dai, Ye‐Xiong Li	2017	241
2	Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images Frontiers in Oncology ·Kuo Men, Xinyuan Chen, Ye Zhang, Tao Zhang, Jianrong Dai, Junlin Yi, Ye‐Xiong Li	2017	158
3	A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning Medical Physics ·Xinyuan Chen, Kuo Men, Ye‐Xiong Li, Junlin Yi, Jianrong Dai	2018	142
4	Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning Physica Medica ·Kuo Men, Tao Zhang, Xinyuan Chen, Bo Chen, Yu Tang, Shulian Wang, Ye‐Xiong Li, Jianrong Dai	2018	113
5	A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial International Journal of Radiation OncologyBiologyPhysics ·Kuo Men, H. Geng, Haoyu Zhong, Yong Fan, Alexander Lin, Ying Xiao	2019	69
6	CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy Frontiers in Oncology ·Xinyuan Chen, Kuo Men, Bo Chen, Yu Tang, Tao Zhang, Shulian Wang, Ye‐Xiong Li, Jianrong Dai	2020	50
7	Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy Physics in Medicine and Biology ·Kuo Men, Pamela Boimel, James Janopaul‐Naylor, Haoyu Zhong, Mi Huang, H. Geng, Chingyun Cheng, Yong Fan, John P. Plastaras, Edgar Ben‐Josef, Ying Xiao	2018	49
8	Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades Medical Physics ·Kuo Men, H. Geng, Chingyun Cheng, Haoyu Zhong, Mi Huang, Yong Fan, John P. Plastaras, Alexander Lin, Ying Xiao	2018	42
9	Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients Physica Medica ·Wenting Ren, Bin Liang, Chao Sun, Runye Wu, Kuo Men, Yingjie Xu, Fei Han, Junlin Yi, Yuan Qu, Jianrong Dai	2021	28
10	Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer Frontiers in Oncology ·Ji Zhu, Xinyuan Chen, Bining Yang, Nan Bi, Tao Zhang, Kuo Men, Jianrong Dai	2020	27
11	Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning Frontiers in Oncology ·Kuo Men, H. Geng, Tithi Biswas, Zhongxing Liao, Ying Xiao	2020	27
12	The Impact of Clinical Trial Quality Assurance on Outcome in Head and Neck Radiotherapy Treatment Frontiers in Oncology ·Haoyu Zhong, Kuo Men, Jiazhou Wang, Johan van Soest, David I. Rosenthal, André Dekker, Zhen Zhang, Ying Xiao	2019	22
13	A deep learning model to predict dose–volume histograms of organs at risk in radiotherapy treatment plans Medical Physics ·Zhiqiang Liu, Xinyuan Chen, Kuo Men, Junlin Yi, Jianrong Dai	2020	22
14	Comparison between atlas and convolutional neural network based automatic segmentation of multiple organs at risk in non-small cell lung cancer Medicine ·Tao Zhang, Yin Yang, Jingbo Wang, Kuo Men, Xin Wang, Lei Deng, Nan Bi	2020	20
15	DVHnet: A deep learning‐based prediction of patient‐specific dose volume histograms for radiotherapy planning Medical Physics ·Xinyuan Chen, Kuo Men, Ji Zhu, Bining Yang, Minghui Li, Zhiqiang Liu, Xuena Yan, Junlin Yi, Jianrong Dai	2021	20
16	Personalized auto‐segmentation for magnetic resonance imaging–guided adaptive radiotherapy of prostate cancer Medical Physics ·Xinyuan Chen, Xiangyu Ma, Xuena Yan, Fei Luo, Siran Yang, Zekun Wang, Runye Wu, Jianyang Wang, Ningning Lu, Nan Bi, Junlin Yi, Shulian Wang, Ye‐Xiong Li, Jianrong Dai, Kuo Men	2022	20
17	Dual-energy imaging method to improve the image quality and the accuracy of dose calculation for cone-beam computed tomography Physica Medica ·Kuo Men, Jianrong Dai, Xinyuan Chen, Minghui Li, Ke Zhang, Peng Huang	2017	14
18	Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning Radiotherapy and Oncology ·Kuo Men, Xinyuan Chen, Bining Yang, Ji Zhu, Junlin Yi, Shulian Wang, Ye‐Xiong Li, Jianrong Dai	2021	13
19	A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies Physics in Medicine and Biology ·Yuxiang Liu, Xinyuan Chen, Ji Zhu, Bining Yang, Ran Wei, Rui Xiong, Quan Hong, Yueping Liu, Jianrong Dai, Kuo Men	2022	13
20	MRI-Only Radiotherapy Planning for Nasopharyngeal Carcinoma Using Deep Learning Frontiers in Oncology ·Xiangyu Ma, Xinyuan Chen, Jingwen Li, Yu Wang, Kuo Men, Jianrong Dai	2021	13

About Kuo Men

Kuo Men is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Biomedical Engineering and Otorhinolaryngology, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (65 papers), Medical Imaging Techniques and Applications (43 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (14 papers), Radiation Therapy and Dosimetry (12 papers), Lung Cancer Diagnosis and Treatment (11 papers), Advanced MRI Techniques and Applications (8 papers) and Head and Neck Cancer Studies (7 papers). The work is most often cited by research in Radiation (793 citations), Health Informatics (71 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Otorhinolaryngology (151 citations) and Pulmonary and Respiratory Medicine (379 citations). Kuo Men has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ye‐Xiong Li, Jianrong Dai, Junlin Yi, Jianrong Dai, Xinyuan Chen, Jianrong Dai, Xinyuan Chen, H. Geng, Ying Xiao and Shulian Wang. Their work appears in journals such as Medical Physics, Frontiers in Oncology, Physica Medica, Journal of Applied Clinical Medical Physics and Radiotherapy and Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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