基本信息

梁晓坤  男  中国科学院深圳先进技术研究院

电子邮件： xk.liang@siat.ac.cn

通信地址： 广东省深圳市南山区西丽大学城学苑大道1068号

邮政编码： 518055

简介

  • 梁晓坤，深圳海外高层次人才，副研究员，博士后合作导师。

  • 2018-2019在斯坦福大学肿瘤放射物理系学习。

  • 研究方向：多维度CT成像理论、CT影像引导系统、医学人工智能、CT影像分析、多模影像引导

  • 近五年已发表52篇SCI期刊论文，其中以第一/通讯作者在LANCET子刊（柳叶刀-数字健康，IF=30分）、JAMA子刊（ESI高被引用）、多篇医学影像顶刊Med. Image Anal. (MedIA)和医学成像顶刊IEEE T. Med. Imaging (IEEE TMI)、医学物理权威期刊Med. Phys.和Phys. Med. Biol. (PMB)等发表27篇。

  • 获吴文俊人工智能科学技术奖：锥束CT智能精准引导放射治疗关键问题研究

  • 入选广东省科协青年科技人才培育计划（全省30人）。

  • 主持科技部国家重点研发计划课题（诊疗专项）、国自然青年科学基金等国家级项目。

  • 主持多个省部级项目：中国科学院特别研究助理计划、广东省自然科学基金面上项目等。

  • 担任NATURE Com., IEEE TMI, MedIA, IEEE JBHI等20余个国际知名SCI期刊的审稿人。

  • 研发的智能影像引导放疗技术被中国科学网、中国科学院国际新闻、央视新闻等十余家国际知名媒体报道

招生信息

   
招生专业
083100-生物医学工程
081203-计算机应用技术
085400-电子信息
招生方向
医学影像引导
医学人工智能
医学影像分析与处理

教育背景

2018-12--2019-12   美国斯坦福大学   联培博士
2017-09--2021-06   中国科学院大学   博士

工作经历

   
工作简历
2023-01~现在, 中国科学院深圳先进技术研究院, 副研究员
2021-06~2023-01,中国科学院深圳先进技术研究院, 助理研究员

专利与奖励

   
奖励信息
（1） 吴文俊人工智能科学技术奖, 部委级, 2022
（2） 朱李月华优秀博士, , 院级, 2021
（3） 博士研究生国家奖学金, 国家级, 2020
（4） 中国科学院院长优秀奖, 部委级, 2020

科研活动

   
科研项目
（ 1 ） 面向胰腺癌自适应放疗中定量锥束CT影像引导的靶区定位方法研究, 负责人, 国家任务, 2023-01--2025-12
（ 2 ） 中国科学院特别研究助理资助项目, 负责人, 中国科学院计划, 2022-01--2023-12
（ 3 ） 广东省科协青年科技人才培育计划, 负责人, 地方任务, 2022-04--2023-03
（ 4 ） 医生诊疗快速辅助支持系统, 参与, 国家任务, 2022-01--2023-12
（ 5 ） 部分乳腺容积旋转调强放疗中基于大变形多模配准的肿瘤定位跟踪, 参与, 国家任务, 2019-01--2022-12
（ 6 ） 基于放疗计划常规CT深度特征提取的高精度低剂量CBCT成像方法研究, 参与, 国家任务, 2019-01--2021-12
（ 7 ） 机器人辅助肺周小结节精准定位与穿刺活检关键技术研究, 参与, 国家任务, 2022-01--2025-12
（ 8 ） 机载双平板与体表光学相结合的图像引导系统研制, 负责人, 国家任务, 2023-11--2027-10

代表作

  1. Jiang Y#, Liang X#, Han Z#, Wang W#, Xi S, Li T, Chen C, Yuan Q, Li N, Yu J, Xie Y, Xu Y, Zhou Z, Poultsides AG, Li G*, Li R*. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study. LANCET Digital Health 2021, 3(6): e371-e382. (IF=30.8，共同第一作者) 

  2. Dai J, Dong G, Zhang C, He W, Liu L, Wang T, Jiang Y, Zhao W, Zhao X, Xie Y, Liang X*. Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning. Medical Image Analysis 2024, 91: 102998. (IF=10.9，唯一通讯作者)

  3. He W, Zhang C, Dai J, Liu L, Wang T, Liu X, Jiang Y, Li N, Xiong J, Wang L, Xie Y, Liang X*. A statistical deformation model-based data augmentation method for volumetric medical image segmentation. Medical Image Analysis 2024, 91: 102984. (IF=10.9，唯一通讯作者)

  4. Liang X*# , Li N#, Zhang Z, Xiong J, Zhou S*, Xie Y*. Incorporating the Hybrid Deformable Model for Improving the Performance of Abdominal CT Segmentation via Multi-Scale Feature Fusion Network. Medical Image Analysis 2021, 73: 102156. (IF=10.9，共同第一兼通讯作者)

  5. Liu X, Xie Y, Diao S, Tan S*, Liang X*. Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. IEEE Transactions on Medical Imaging 2024: 1-1. (IF=10.6，共同通讯作者)

  6. Jiang Y#, Liang X#, Wang W#, Chen C, Yuan Q, Zhang X, Li N, Chen H, Yu J, Xie Y, Xu Y, Zhou Z, Li G*, Li R*. Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning. JAMA Network Open 2021, 4(1): e2032269-e2032269. (IF=13.8，共同第一作者) 

SCI期刊论文

  1. Dai J, Dong G, Zhang C, He W, Liu L, Wang T, Jiang Y, Zhao W, Zhao X, Xie Y, Liang X*. Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning. Medical Image Analysis 2024, 91: 102998. (IF=10.9，唯一通讯作者)

  2. He W, Zhang C, Dai J, Liu L, Wang T, Liu X, Jiang Y, Li N, Xiong J, Wang L, Xie Y, Liang X*. A statistical deformation model-based data augmentation method for volumetric medical image segmentation. Medical Image Analysis 2024, 91: 102984. (IF=10.9，唯一通讯作者)

  3. Liu X, Xie Y, Diao S, Tan S*, Liang X*. Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. IEEE Transactions on Medical Imaging 2024: 1-1. (IF=10.6，共同通讯作者)

  4. Liang X*# , Li N#, Zhang Z, Xiong J, Zhou S*, Xie Y*. Incorporating the Hybrid Deformable Model for Improving the Performance of Abdominal CT Segmentation via Multi-Scale Feature Fusion Network. Medical Image Analysis 2021, 73: 102156. (IF=10.9，共同第一兼通讯作者)

  5. Jiang Y#, Liang X#, Han Z#, Wang W#, Xi S, Li T, Chen C, Yuan Q, Li N, Yu J, Xie Y, Xu Y, Zhou Z, Poultsides AG, Li G*, Li R*. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study. LANCET Digital Health 2021, 3(6): e371-e382. (IF=30.8，共同第一作者) 

  6. Jiang Y#, Liang X#, Wang W#, Chen C, Yuan Q, Zhang X, Li N, Chen H, Yu J, Xie Y, Xu Y, Zhou Z, Li G*, Li R*. Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning. JAMA Network Open 2021, 4(1): e2032269-e2032269. (IF=13.8，共同第一作者) 
  7. Liu L, Fan X, Liu H, Zhang C, Kong W, Dai J, Jiang Y, Xie Y, Liang X*. QUIZ: An arbitrary volumetric point matching method for medical image registration. Computerized Medical Imaging and Graphics 2024, 112: 102336. (唯一第一作者) 
  8. Zhang C, He W, Liu L, Dai J, Salim Ahmad I, Xie Y, Liang X*. Volumetric feature points integration with bio-structure-informed guidance for deformable multi-modal CT image registration. Physics in Medicine & Biology 2023, 68(24): 245007. (唯一通讯作者) 
  9. Dong G, Zhang C, Deng L, Zhu Y, Dai J, Song L, Meng R, Niu T, Liang X*, Xie Y*. A deep unsupervised learning framework for the 4D CBCT artifact correction. Physics in Medicine and Biology 2022, 67: 055012. (共同通讯作者) 
  10. Wang T, Liu X, Dai J, Zhang C, He W, Liu L, Chan Y, He Y, Zhao H, Xie Y, Liang X*. An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image. Computers in Biology and Medicine 2023, 165: 107377. (唯一通讯作者) 
  11. Li N#, Zhou X#, Chen S, Dai J, Wang T, Zhang C, He W, Xie Y, Liang X*. Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT. Frontiers in Oncology 2023, 13. (唯一通讯作者) 
  12. Liang X, Zhang Z, Niu T, Yu S, Wu S, Li Z, Zhang H*, Xie Y*. Iterative image-domain ring artifact removal in cone-beam CT. Physics in Medicine and Biology 2017, 62(13): 5276-5292.  (唯一第一作者) 
  13. Zhu Y, Zhao H, Wang T, Deng L, Yang Y, Jiang Y, Li N, Chan Y, Dai J, Zhang C, Li Y, Xie Y, Liang X*. Sinogram domain metal artifact correction of CT via deep learning. Computers in Biology and Medicine 2023, 155: 106710. (唯一通讯作者)
  14. Wang T, Liu X, Zhang C, He Y, Chan Y, Xie Y, Liang X*. Ring artifacts correction for computed tomography image using unsupervised contrastive learning. Physics in Medicine & Biology 2023, 68(20): 205008. (唯一通讯作者)
  15. Ahmad IS#, Li N#, Wang T, Liu X, Dai J, Chan Y, Liu H, Zhu J, Kong W, Lu Z, Xie Y, Liang X*. COVID-19 Detection via Ultra-Low-Dose X-ray Images Enabled by Deep Learning. Bioengineering 2023, 10(11): 1314. (唯一通讯作者)
  16. Zhang C, Liu L, Dai J, Liu X, He W, Chan Y, Xie Y, Chi F*, Liang X*. XTransCT: ultra-fast volumetric CT reconstruction using two orthogonal x-ray projections for image-guided radiation therapy via a transformer network. Physics in Medicine and Biology 2024. (共同通讯作者) 
  17. Chan Y, Liu X, Wang T, Dai J, Xie Y, Liang X*. An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction. Computers in Biology and Medicine 2023, 161: 106888.  (唯一通讯作者) 
  18. Liang X, Bassenne M, Hristov DH, Islam MT, Zhao W, Jia M, Zhang Z, Gensheimer M, Beadle B, Le Q, Xing L*. Human-Level Comparable Control Volume Mapping with A Deep Unsupervised-Learning Model for Image-Guided Radiation Therapy. Computers in Biology and Medicine 2022, 141: 105139.  (唯一第一作者) 
  19. Li N, Zhou S*, Zhao G, Zhang Z, Xie Y, Liang X*. Iterative Stripe Artifact Correction Framework for TOF-MRA. Computers in Biology and Medicine 2021, 134: 104456.  (共同通讯作者) 
  20. Liang X#, Dai J#, Zhou X, Liu L, Zhang C, Jiang Y, Li N, Niu T, Xie Y, Dai Z*, Wang X*. An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. Journal of Digital Imaging 2023.  (共同第一作者) 
  21. Liang X, Bibault J-E*, Leroy T, Escande A, Zhao W, Chen Y, Buyyounouski MK, Hancock SL, Bagshaw H, Xing L*. Automated Contour Propagation of the Prostate From pCT to CBCT Images Via Deep Unsupervised Learning. Medical physics 2021, 48(4): 1764-1770.  (唯一第一作者) 
  22. Liang X, Zhao W, Hristov DH*, Buyyounouski MK, Hancock SL, Bagshaw H, Zhang Q, Xie Y, Xing L. A Deep Learning Framework for Prostate Localization in Cone Beam CT Guided Radiotherapy. Medical Physics 2020, 47(9): 4233-4240.  (唯一第一作者) 
  23. Liang X, Jiang Y, Zhao W, Zhang Z, Luo C, Xiong J, Yu S, Yang X, Sun J, Zhou Q, Niu T*, Xie Y*. Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan. Medical physics 2019, 46(7): 3165-3179.  (唯一第一作者) 
  24. Liang X, Li N, Zhang Z, Yu S, Qin W, Li Y, Chen S, Zhang H*, Xie Y*. Shading correction for volumetric CT using deep convolutional neural network and adaptive filter. Quantitative Imaging in Medicine and Surgery 2019, 9(7): 1242-1254.  (唯一第一作者) 
  25. Dong G#, Dai J#, Li N, Zhang C, He W, Liu L, Chan Y, Li Y, Xie Y, Liang X*. 2D/3D Non-Rigid Image Registration via Two Orthogonal X-ray Projection Images for Lung Tumor Tracking. Bioengineering 2023, 10(2): 144.  (唯一通讯作者) 
  26. Dong G#, Zhang C#, Liang X*, Deng L, Zhu Y, Zhu X, Zhou X, Song L, Zhao X, Xie Y*. A deep unsupervised learning model for artifact correction of pelvis cone-beam CT. Frontiers in Oncology 2021, 11: 2708. (共同通讯作者) 
  27. Liang X#, Jiang Y#, Xie Y, Niu T. Quantitative cone-beam CT imaging in radiotherapy: Parallel computation and comprehensive evaluation on the TrueBeam system. IEEE Access 2019, 7(6): 66226-66233. (共同第一作者) 
  28. Huang W#, Jiang Y#, Xiong W#, Sun Z, Chen C, Yuan Q, Zhou K, Han Z, Feng H, Chen H, Liang X, Yu S, Hu Y, Yu J, Chen Y, Zhao L, Liu H, Zhou Z, Wang W*, Wang W*, Xu Y*, Li G*. Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer. NATURE Communications 2022, 13(1): 5095. (IF=16.6) 
  29. Tan M#, Peng H#, Liang X, Xie Y, Xia Z*, Xiong J*. LSTformer: Long Short-term Transformer for Real Time Respiratory Prediction. IEEE Journal of Biomedical and Health Informatics 2022, 26(10): 5247-5257. 
  30. Yang P, Ge X, Tsui T, Liang X, Xie Y, Hu Z, Niu T*. Four-Dimensional Cone Beam CT Imaging Using A Single Routine Scan via Deep Learning. IEEE Transactions on Medical Imaging 2022. (IF=10.6) 
  31. Zhang Z, Liang X, Dong X, Xie Y*, Cao G*. A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. IEEE Transactions on Medical Imaging 2018, 37(6): 1407-1417. (IF=10.6) 
  32. Sun Z#, Jiang Y#, Chen C#, Zheng H, Huang W, Xu B, Tang W, Yuan Q, Zhou K, Liang X, Chen H, Han Z, Feng H, Shitong Y, Hu Y, Yu J, Zhou Z*, Wang W*, Xu Y*, Li G*. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: a multicenter study. Radiotherapy and Oncology 2021, 165: 179-190. 
  33. Jiang Y#, Zhang Y#, Luo C, Yang P, Wang J, Liang X, Zhao W, Li R, Niu T*. A generalized image quality improvement strategy of cone-beam CT using multiple spectral CT labels in Pix2pix GAN. Physics in Medicine and Biology 2022, 67(11): 115003. 
  34. Zhang Z#, Yu S#, Qin W, Liang X, Xie Y*, Cao G*. Self-supervised CT Super-Resolution with Hybrid Model. Computers in Biology and Medicine 2021, 138: 104775. 
  35. Sun Z#, Wang W#, Huang W#, Zhang T#, Chen C, Yuan Q, Chen Y, Zhou K, Han Z, Feng H, Chen H, Liang X, Hu Y, Yu J, Liu H, Yu L, Xu Y*, Li G*, Jiang Y*. Noninvasive imaging evaluation of peritoneal recurrence and chemotherapy benefit in gastric cancer after gastrectomy: a multicenter study. International Journal of Surgery 2023: 10.1097/JS1099.0000000000000328. (IF=15.3) 
  36. Liu X, Liang X, Deng L, Tan S*, Xie Y*. Learning low‐dose CT degradation from unpaired data with flow‐based model. Medical Physics 2022, 49(12): 7516-7530. 
  37. Zhang Z, Liang X, Zhao W*, Xing L*. Noise2Context: Context-assisted Learning 3D Thin-layer for Low Dose CT. Medical Physics 2021, 48(10): 5794-5803. 
  38. Zhao W*, Shen L, Islam MT, Qin W, Zhang Z, Liang X, Zhang G, Xu S, Li X*. Artificial intelligence in image-guided radiotherapy: a review of treatment target localization. Quantitative Imaging in Medicine and Surgery 2021, 11(12): 4881-4894. 
  39. Li W#, Li Y#, Qin W, Liang X, Xu J, Xiong J*, Xie Y*. Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy. Quantitative Imaging in Medicine and Surgery 2020, 10(6): 1223-1236. 
  40. Zhang Z, Liang X, Qin W, Yu S*, Xie Y*. matFR: a MATLAB toolbox for feature ranking. Bioinformatics 2020, 36(19): 4968–4969. 
  41. Zhang Z, Yu S, Liang X, Zhu Y*, Xie Y*. A novel design of ultrafast micro-CT system based on carbon nanotube: a feasibility study in phantom. Physica Medica-European Journal of Medical Physics 2016, 32(10): 1302-1307. 
  42. Ye X, Liang X, Hu J, Xie Y*. Image-Based Pain Intensity Estimation Using Parallel CNNs with Regional Attention. Bioengineering 2022, 9(12): 804. 
  43. Xi S#, Li Z#, Guo Q#, Lin W, Liang X, Ma L*. Prognostic Factors among Brain Metastases in Newly Diagnosed Ovary Cancer: A Large Real-world Study. Journal of Cancer 2020, 11(15): 4625-4640. 
  44. Yu S, Jin M, Wen T, Zhao L, Zou X, Liang X, Xie Y, Pan W, Piao C*. Accurate breast cancer diagnosis using a stable feature ranking algorithm. BMC Medical Informatics and Decision Making 2023, 23(1): 64.