头像

莫建华

电子信息学院副教授

学位：博士

办公地址：电子楼313

毕业院校：新加坡国立大学

联系电话：

电子邮箱：jhmo@suda.edu.cn

1924 访问

导航

  • 个人概况
  • 研究领域
  • 开授课程
  • 科研项目
  • 论文
  • 科研成果
  • 荣誉及奖励
  • 招生信息

个人简介

本人本硕毕业于浙江大学，博士毕业于新加坡国立大学，后至荷兰阿姆斯特丹自由大学从事博士后研究，目前研究工作专注于成像技术和仪器研究开发、图像处理分析，及上述技术在生物医学和工业无损检测方面的应用。

研究领域

成像技术研究

成像系统和仪器开发

图像处理与分析


开授课程

  • 1、电路分析,本科生
  • 2、Matlab工程应用,本科生
  • 3、数字图像处理,本科生
  • 4、研究生英语,研究生

科研项目

  • 1、国家自然基金青年项目,2015.1~2017.12,主持
  • 2、江苏省自然基金青年项目,2014.7~2017.6,主持
  • 3、江苏省科技厅重点病种规范化诊疗项目,2015.7~2018.6,核心（排2）
  • 4、国家重点研发计划（国际科技创新合作重点专项）,2016.12~2019.11,核心（排2）
  • 5、江苏省科技厅临床前沿技术,2020.12~,参与
  • 6、苏州市科技局医疗卫生科技创新项目,2022.7~,主持
  • 7、国家重点研发计划-诊疗装备与生物医用材料-课题,2022.12~,主持
  • 8、企业横向技术开发项目,2025.12,主持

论文

  • 1、AngleVLM-IoT: A Transfer-Learned Vision–Language Model for Automatic Anterior Chamber Angle Recognition in Connected Eye-Care Ecosystems,IEEE Transactions on Consumer Electronics,2026,C Zhou, L Ge, X Tian, J Liang, H Zhang, P Gao, J Mo, X Yin
  • 2、Improve deep learning-based reconstruction of optical coherence tomography angiography by siamese U-Net,Biomedical Physics & Engineering Express,2025,K Zhang, Z Yan, X Cao, X Yu, K Li, J Mo,11/6/065034
  • 3、Quantitative Assessment of Basement Membrane Loss in Melasma Using Attenuation Coefficient Estimation Based on Optical Coherence Tomography,Journal of Biophotonics,2025,J Liang, X Cao, K Li, T Zhu, J Mo,0/0/e202500491
  • 4、Diagnosis and Post‐Treatment Follow‐Up Evaluation of Melasma Using Optical Coherence Tomography and Deep Learning,Journal of Biophotonics,2025,X Cao, Y Lu, T Zhu, Z Yan, K Li, J Mo,18/6/e70006
  • 5、Determination of confocal parameters of OCT imaging for eliminating confocal effect on attenuation coefficient estimation,Optics Express,2025,Z Yan, X Cao, G Shi, J Mo,33/7/16275
  • 6、Dual blind-spot network for self-supervised denoising in OCT images,Biomedical Signal Processing and Control,2024,C Ge, X Yu, M Yuan, B Su, J Chen, PP Shum, J Mo, L Liu,97/0/106682
  • 7、Axial super-resolution optical coherence tomography via complex-valued network,Physics in Medicine & Biology,2023,L Wang, S Chen, L Liu, X Yin, G Shi, J Mo,68/23/235016
  • 8、Loss-balanced parallel decoding network for retinal fluid segmentation in OCT,Computers in Biology and Medicine ,2023,X Yu, M Li, C Ge, M Yuan, L Liu, J Mo, PP Shum, J Chen,165/0/107319
  • 9、Self-supervised Blind2Unblind deep learning scheme for OCT speckle reductions,Biomedical Optics Express,2023,X Yu, C Ge, M Li, M Yuan, L Liu, J Mo, PP Shum, J Chen,14/6/2773
  • 10、Multi-channel spectral-domain optical coherence tomography using single spectrometer,Chinese Optics Letters,2023,Y Wang, S Chen, K Lin, X Chen, Z Xu, S Lou, X Ge, G Ni, X Yu, J Mo, Q Mu, L Liu,21/5/051102
  • 11、Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images,Journal of Medical Imaging,2023,X Yu, C Ge, M Li, MZ Aziz, J Mo, Z Fan,10/2/024006
  • 12、Optical coherence tomography for in vivo longitudinal monitoring of artificial dermal scaffold,Lasers in Surgery and Medicine,2023,Z Chen, Q Cheng, L Wang, Y Mo, K Li, J Mo,55/3/316
  • 13、CGNet‐assisted Automatic Vessel Segmentation for Optical Coherence Tomography Angiography,Journal of Biophotonics,2022,X Yu, C Ge, MZ Aziz, M Li, PP Shum, L Liu, J Mo,15/10/e202200067
  • 14、Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise,Journal of Biophotonics,2022,L Wang, Z Chen, Z Zhu, X Yu, J Mo,15/8/e202200087
  • 15、Centerline extraction by neighborhood-statistics thinning for quantitative analysis of corneal nerve fibers,Physics in Medicine & Biology,2022,Z Chen, X Yin, L Lin, G Shi, J Mo,67/14/145005
  • 16、Development of a handheld compression optical coherence elastography probe with a disposable stress sensor,Optics Letters,2021,X Wang, Q Wu, J Chen, J Mo,46/15/3669
  • 17、Inspection of intraocular lens with dual-side view optical coherence tomography,IEEE Photonics Journal,2021,Q Wu, X Wang, L Liu, J Mo,13/3/4
  • 18、Cellular-resolution in vivo tomography in turbid tissue through digital aberration correction,PhotoniX,2020,E Bo, X Ge, Y Luo, X Wu, S Chen, H Liang, S Chen, X Yu, P Shum, J Mo, N Chen, L Liu,1/1/9
  • 19、Dual-side view optical coherence tomography for thickness measurement on opaque materials,Optics Letters,2020,Q Wu, X Wang, L Liu, J Mo,45/4/832
  • 20、Nondestructive measurement of conformal coating thickness on printed circuit board with ultra-high resolution optical coherence tomography,IEEE Access,2019,X Shao, X Chen, X Yu, Y Hu, L Liu, F Shi, W Shao, J Mo,7/0/18138

科研成果

软件著作 专利
  • 1、一种皮肤成像系统,ZL202010828577.7,莫建华; 陈洁雯; 戴佳宁,发明
  • 2、一种基于复值神经网络的OCT轴向超分辨方法及系统,ZL202310835841.3,莫建华; 王凌云,发明
  • 3、应用于光学相干弹性成像的传感器、成像系统及成像方法,ZL202110177728.1,莫建华; 王茜雯,发明
  • 4、一种双视场光相干断层扫描成像系统及材料厚度检测法,ZL202010107472.2,莫建华; 吴倩,发明
  • 5、光学相干断层扫描成像中散斑噪声的抑制系统和方法,ZL201610085396.3,莫建华; 曹兆源; 陈新建,发明
  • 6、一种基于光学相干断层扫描成像中相位误差的校正方法,ZL201510640441.2,莫建华; 尤哈尼斯.德波尔; 钱婕,发明

荣誉及奖励

  • 1、苏州市紧缺人才计划（2014）
  • 2、江苏省科技咨询协会科学技术奖,2021,一等奖
  • 3、江苏省医学引进新技术,2023-11-17,二等

招生信息

欢迎有意从事成像技术和仪器系统研究开发、和图像处理分析方法研究的同学加入我们lab攻读硕士学位，同时，也欢迎有意在本科生阶段提升科研能力的同学加入我们。