导师风采
门阔
个人信息
Personal Information
- 性别：男
- 导师类型：硕士生导师
- 职称：副研究员
- 该职称任职时间：2020
联系方式
Contact Information
- 所属院系：肿瘤医院
- 所属专业：生物医学工程
- 邮箱 : menkuo126@126.com
- 工作电话 : 87787658
个人简介
Personal Profile
门阔，副研究员，中国医学科学院肿瘤医院物理室主任 (1) 中华医学会放射肿瘤治疗学分会物理学组 副组长 (2) 中国生物医学工程学会医学物理青年委员会 主委 (3) 中华医学会放射肿瘤治疗学分会青委会 委员 (4) 中国物理学会粒子加速器分会 常委 (5) 中国医学装备协会放射治疗装备技术分会 常委 (6) 亚太医学物理学会学术委员会 委员 (7) 中国抗癌协会放射治疗专业委员会 委员 (8) 中国医师协会放射肿瘤治疗医师分会肿瘤放疗人工智能与大数据学组 委员 (9) 京津冀 放射物理专业组 常委 (10) 北京抗癌协会肿瘤放疗专业委员会 委员 (11) 北京医学会放射肿瘤治疗学分会青委会 委员
团队简介
Team Profile
待补充更新
- 研究方向Research Directions
人工智能在放疗领域中的应用
- 在校研究生Current Graduate Students
硕士研究生 2 名，博士研究生 0 名
- 科研项目Research Projects
| # | 项目名称 | 起止日期 | 金额 | 项目类型 | 本人角色 |
|---|---|---|---|---|---|
| 1 | 质子治疗中应对解剖变化和器官运动影响的方法优化研究 | 2024-01 —— 2027-12 | 79 | 主持在研的国家或省部级科研项目 | 主持人 |
| 2 | 质子自适应放射治疗智能优化方法研究 | 2022-01 —— 2025-12 | 93 | 主持在研的国家或省部级科研项目 | 主持人 |
| 3 | 超高剂量率固定多角度放射治疗的计划优化及剂量验证 | 2022-01 —— 2025-01 | 210 | 主持在研的国家或省部级科研项目 | 主持人 |
- 发表论文Papers
| # | 论文题目 | 期刊名称 | 发表年份 | 论文署名 |
|---|---|---|---|---|
| 1 | Improving accelerated 3D imaging in？MRI-guided radiotherapy for？prostate cancer using a？deep learning method | Radiation Oncology | 2023-07-19 | 门阔 |
| 2 | Performance of a multileaf collimator system for a 1.5T MR-linac | Medical Physics | 2023-07-19 | 门阔 |
| 3 | Deep learning framework to improve the quality of cone-beam computed tomography for radiotherapy scenarios | Medical physics | 2023-07-19 | 门阔 |
| 4 | Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning | Radiotherapy and Oncology | 2023-07-19 | 门阔 |
| 5 | Personalized modeling to improve pseudo-CT images for magnetic resonance imaging-guided adaptive radiotherapy | International Journal of Radiation Oncology - Biology - Physics | 2023-07-19 | 门阔 |
| 6 | Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades | Medical Physics | 2023-07-19 | 门阔 |
| 7 | Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction | Radiotherapy and Oncology | 2023-07-19 | 门阔 |
| 8 | Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort | Physica Medica | 2023-07-19 | 门阔 |
| 9 | A plan verification platform for online adaptive proton therapy using deep learning-based Monte–Carlo denoising | Physica Medica | 2023-07-19 | 门阔 |
| 10 | Automated quality assurance of OAR contouring for lung cancer based on segmentation with deep active learning | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 11 | Treatment plan prescreening for patient-specific quality assurance measurements using independent Monte Carlo dose calculations | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 12 | A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning | Medical Physics | 2023-07-19 | 门阔 |
| 13 | A projection-domain correction method in CBCT reconstruction for head and neck radiotherapy using cycle-GAN and nonlocal means filter | Medical Physics | 2023-07-19 | 门阔 |
| 14 | Real‐time 3D MRI reconstruction from cine‐MRI using unsupervised network in MRI‐guided radiotherapy for liver cancer | Medical Physics | 2023-07-19 | 门阔 |
| 15 | A comprehensive evaluation of angular range and separation on image quality, image registration and imaging dose for cone-beam CT in radiotherapy | Medical Dosimetry | 2023-07-19 | 门阔 |
| 16 | A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 17 | A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer | Journal of Applied Clinical Medical Physics | 2023-07-19 | 门阔 |
| 18 | A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies | Physics in Medicine & Biology | 2023-07-19 | 门阔 |
| 19 | Personalized auto‐segmentation for magnetic resonance imaging–guided adaptive radiotherapy of prostate cancer | Medical Physics | 2023-07-19 | 门阔 |
| 20 | The Impact of Clinical Trial Quality Assurance on Outcome in Head and Neck Radiotherapy Treatment | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 21 | A feasible method to evaluate deformable image registration with deep learning–based segmentation | Physica Medica | 2023-07-19 | 门阔 |
| 22 | CNN-based quality-assurance for automatic segmentation of breast cancer in radiotherapy | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 23 | A deep-learning method for generating synthetic kV-CT and improving tumor segmentation for helical tomotherapy of nasopharyngeal carcinoma | Physics in Medicine and Biology | 2023-07-19 | 门阔 |
| 24 | Evaluation of Automatic Segmentation Model with Dosimetric Metrics for Radiotherapy of Esophageal Cancer | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 25 | MRI-Only Radiotherapy Planning for Nasopharyngeal Carcinoma Using Deep Learning | Frontiers in Oncology | 2023-07-19 | 门阔 |
| 26 | A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial | International Journal of Radiation Oncology*Biology*Physics | 2023-07-19 | 门阔 |
| 27 | Efficient segmentation using domain adaptation for MRI-guided and CBCT-guided online adaptive radiotherapy | Radiotherapy and Oncology | 2023-11 | 通讯作者 |
| 28 | pretreatment information aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy | Medical Physics | 2023-07 | 通讯作者 |
| 29 | A Novel Loss Function to Reproduce Texture Features for Deep Learning-based MRI-to-CT Synthesis | Medical Physics | 2023-12 | 通讯作者 |
| 30 | Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma. | Radiation Oncology | 2023-11 | 通讯作者 |
| 31 | Is it necessary to perform measurement-based patient-specific quality assurance for online adaptive radiotherapy with Elekta Unity MR-Linac? | J Appl Clin Med Phys | 2023-10 | 共同通讯 |
- 科研获奖Research Awards
| # | 获奖证书编号 | 奖项名称 | 获奖级别 | 获奖类别 | 获奖等级 | 获奖日期 | 颁奖单位 | 本单位是否为第一完成单位 | 完成单位排名 | 本人排序 | 备注 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2023 人工智能放疗技术体系的创建及应用 | 省部级 | 北京市科学技术奖 | 二等奖 | 2023-12-30 | 是 | 1 | 2 |
- 研究成果Research Findings
| # | 成果类型 | 项目/专利/新品种名称 |
|---|---|---|
| 1 | 作为主创人员获得授权的发明专利和新品种 | 一种预测放疗计划剂量分布的方法,装置,设备及存储介质 |
| 2 | 作为主创人员获得授权的发明专利和新品种 | 减少锥形束CT照射剂量的自适应调制方法 |