个人信息
个人简介

现任苏州大学电子信息学院电子信息工程系副教授、学术型与专业型硕士研究生导师。长期以来进行医学影像处理与分析等方面科学研究并承担信息处理方面的教学工作,已在Medical Image AnalysisIEEE Transactions on Medical Imaging  IEEE Transactions on Image ProcessingIEEE Journal of Biomedical and Health InformaticsIEEE Transactions on Visualization and Computer Graphics国际期刊或会议上发表90余篇学术论文,获得吴文俊人工智能技术发明奖一等奖、江苏省自然科技技术奖二等奖,获得5项国内发明专利。主持国家自然科学基金面上项目2项、国家自然科学基金青年项目1项、江苏省高校自然科学项目1项,参与科技部青年973项目、科技部重点专项、省部级项目各1项,《中国体视学与图像分析》编委。

研究领域

医学影像处理与分析,具体如下

1、人工智能、深度学习算法(元学习、半监督学习、弱监督学习、小样本学习等);

2、多模态医学影像处理与分析(视网膜、胰腺、腹部脏器、肿瘤等);

3、基于深度学习的图像分割与分类方法

4、基于形状模型的图像分割方法

5、基于图割、图搜索的图像分割方法

基本信息
头像




向德辉

职称:副教授

院部/部门:电子信息学院

学历:博士

学位:博士研究生

毕业学校:中国科学院自动化所

毕业专业:模式识别与智能系统

联系方式

通讯地址:江苏省苏州市十梓街1号

邮政编码:215006

电子邮箱:xiangdehui@suda.edu.cn

联系电话:

传真号码:

办公地点:电子楼317

科学研究

研究进展


2024.3.12 祝贺许文轩同学IEEE Transactions on Biomedical Engineering论文接收.


2024.2.24 祝贺沈尔伟同学Physics in Medicine & Biology论文发表.



Funding

1、面向年龄相关性黄斑变性诊断的迁移学习算法研究,国家自然科学基金面上项目,主持,在研;

2、面向息肉样脉络膜血管病变多源异构数据的深度学习算法研究,国家自然科学基金面上项目,主持,结题;

3、基于图的PET-CT图像肺肿瘤分割算法研究,江苏省普通高校自然科学研究项目,主持,结题;

4、基于支持向量机与图搜索的PET-CT图像中肺肿瘤分割算法研究,国家自然科学基金青年项目,主持,结题。



Membership and service

  • IEEE Member

  • 2021-2022, Topic Editor, Frontiers in Neuroscience

  • 2015, The 2nd MICCAI Workshop on Ophthalmic Medical Image Analysis, Munich, Germany. Program Committee

  • 2015, The 3rd Suzhou International Symposium on Medical Imaging. Program Committee

  • 2014, Ophthalmic Medical Image Analysis First International Workshop, OMIA 2014, Held in Conjunction with MICCAI 2014, Boston, Massachusetts, September 14, 2014. Program Committee.

  • 2014, The 2nd Suzhou International Symposium on Medical Imaging. Program Committee

  • 2013, The 1st Suzhou International Symposium on Medical Imaging. Program Committee


Reviewer for peer-reviewed journals (selected)

  • 2023 IEEE Transactions on Medical Imaging (TMI) Distinguished Reviewer

  • 2022 IEEE Transactions on Medical Imaging (TMI) Distinguished Reviewer

  • Medical Image Analysis

  • IEEE Transactions on Cybernetics

  • IEEE Transactions on Medical Imaging

  • IEEE Transactions on Image Processing

  • IEEE Transactions on Neural Networks and Learning Systems

  • IEEE Transactions on Biomedical Engineering

  • IEEE Journal of Biomedical and Health Informatics

  • IEEE Transactions on Multimedia

  • Neural Networks

  • Optics Express




科研团队

2023


   

    李沧鑫          曾剑斌        王成前         孙飞宇


2022

  

    沈超           陈忠宇         廖世辰

2021

   

     陈朗          陈慕阳        沈尔伟         许文轩



2020

   

    樊礼纲           吴昊          周治邦        朱晓奕



2019

 

    韩召然         陆宇轩

2018

  

    潘声雪          杨长兴       蔡木林

2017

 

田海鸿          杨宵玲



2016

    陈庚













论文

2024

1. Wenxuan Xu, Cangxin Li, Yun BianQingquan Meng, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang*. Cross-modal Consistency for Single-modal MR Image Segmentation, IEEE Transactions on Biomedical Engineering, 2024

2.  Erwei Shen, Zhenmao Wang, Tian Lin, Qingquan Meng, Weifang Zhu, Fei Shi, Xinjian Chen, Haoyu Chen and Dehui Xiang*. DRFNet: a deep radiomic fusion network for nAMD/PCV differentiation in OCT images,Physics in Medicine & Biology, 2024

3. Jing Shang, Erwei Shen, Yang Yu, Aiying Jin, Xuemei Wang, Dehui Xiang*Relationship between abnormal intrinsic functional connectivity of subcortices and autism symptoms in high-functioning adults with autism spectrum disorderPsychiatry Research: Neuroimaging, 337, 111762 (2024)

2023

1.Dehui Xiang, Shenshen Yan, Ying Guan, Mulin Cai, Zheqing Li, Haiyun Liu, Xinjian Chen, Bei Tian: Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation. IEEE Trans. Medical Imaging 42(3): 713-725 (2023)

2.Dehui Xiang, Bin Zhang, Yuxuan Lu, Shengming Deng: Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images. IEEE J. Biomed. Health Informatics 27(3): 1237-1248 (2023)

3.Wenxuan Xu, Yun Bian, Yuxuan Lu, Qingquan Meng, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang*. Semi-supervised interactive fusion network for MR image segmentation. Medical Physics, 50(3):1586-1600, 2023.

4.Zhibang Zhou, Yun Bian, Shengxue Pan, Qingquan Meng, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang*: A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images. Biomed. Signal Process. Control. 82: 104516 (2023)

5.Ligang Fan, Yun Bian, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang*: Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation. ISBI 2023: 1-5

6.Meng Wang, Tian Lin, Yuanyuan Peng, Weifang Zhu, Yi Zhou, Fei Shi, Kai Yu, Qingquan Meng, Yong Liu, Zhongyue Chen, Yuhe Shen, Dehui Xiang, Haoyu Chen, Xinjian Chen: Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images. IEEE Trans. Biomed. Eng. 70(7): 2013-2024 (2023)

7.Pengfei Zhang, Xinjian Chen, Ziting Yin, Xin Zhou, Qingxin Jiang, Weifang Zhu, Dehui Xiang, Yun Tang, Fei Shi: Interactive Skin Wound Segmentation Based on Feature Augment Networks. IEEE J. Biomed. Health Informatics 27(7): 3467-3477 (2023)

8.Shengyong Diao, Jinzhu Su, Changqing Yang, Weifang Zhu, Dehui Xiang, Xinjian Chen, Qing Peng, Fei Shi: Classification and segmentation of OCT images for age-related macular degeneration based on dual guidance networks. Biomed. Signal Process. Control. 84: 104810 (2023)

9.Ao Liu, Hui Jiang, Weiwei Cao, Wenju Cui, Dehui Xiang, Chengwei Shao, Zhaobang Liu, Yun Bian, Jian Zheng: MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images. Biomed. Signal Process. Control. 86(Part C): 105303 (2023)

10.Xiao Tan, Xinjian Chen, Qingquan Meng, Fei Shi, Dehui Xiang, Zhongyue Chen, Lingjiao Pan, Weifang Zhu: OCT2Former: A retinal OCT-angiography vessel segmentation transformer. Comput. Methods Programs Biomed. 233: 107454 (2023)

2022

1.Enting Gao, Hui Jiang, Zhibang Zhou, Changxing Yang, Muyang Chen, Weifang Zhu, Fei Shi, Xinjian Chen, Jian Zheng, Yun Bian, Dehui Xiang*: Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network. Comput. Biol. Medicine 151(Part): 106228 (2022)

2.Xu Zhang, Bin Zhang, Shengming Deng, Qingquan Meng, Xinjian Chen and Dehui Xiang*. Cross modality fusion for modality-specific lung tumor segmentation in PET-CT images. Physics in Medicine and Biology, 67(22): 225006, 2022.

3.Dehui Xiang, Haoyu Chen, Jian Zheng, Vishal Jhanji, Imaging in the Visual System Disorders. Frontiers in Neuroscience, 16, 904854, 2022.

4.Jun Zhou, Jiule Ding, Jie Chen, Qiong Wu, Dehui Xiang*, and Wei Xing*. Association between quantitative classification of renal surface nodularity and early renal injury in patients with arterial hypertension. International Journal of Hypertension, 2021, 2022.

5.Changqing Yang, Xinxin Zhou, Weifang Zhu, Dehui Xiang, Zhongyue Chen, Jin Yuan, Xinjian Chen, Fei Shi: Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images. IEEE J. Biomed. Health Informatics 26(2): 648-659 (2022)

6.Jiahuan Song, Xinjian Chen, Qianlong Zhu, Fei Shi, Dehui Xiang, Zhongyue Chen, Ying Fan, Lingjiao Pan, Weifang Zhu: Global and Local Feature Reconstruction for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(9): 2273-2284 (2022)

2021

1.Meng Wang, Weifang Zhu, Kai Yu, Zhongyue Chen, Fei Shi, Yi Zhou, Yuhui Ma, Yuanyuan Peng, Dengsen Bao, Shuanglang Feng, Lei Ye, Dehui Xiang, Xinjian Chen: Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images. IEEE Trans. Medical Imaging 40(4): 1168-1183 (2021)

2.Weiwei Cao, Jian Zheng, Dehui Xiang, Saisai Ding, Haotian Sun, Xiaodong Yang, Zhaobang Liu, Yakang Dai: Edge and neighborhood guidance network for 2D medical image segmentation. Biomed. Signal Process. Control. 69: 102856 (2021)

3.Qingquan Meng, Chang Zuo, Fei Shi, Weifang Zhu, Dehui Xiang, Haoyu Chen, Xinjian Chen: Three-dimensional choroid neovascularization growth prediction from longitudinal retinal OCT images based on a hybrid model. Pattern Recognit. Lett. 146: 108-114 (2021)

2020

1.Lingjiao Pan, Fei Shi, Dehui Xiang, Kai Yu, Luwen Duan, Jian Zheng, Xinjian Chen:OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images. IEEE Trans. Image Process. 29: 3885-3897 (2020)

2.Shuanglang Feng, Heming Zhao, Fei Shi, Xuena Cheng, Meng Wang, Yuhui Ma, Dehui Xiang, Weifang Zhu, Xinjian Chen: CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(10): 3008-3018 (2020)

3.Haihong Tian, Dehui Xiang*, Weifang Zhu, Fei Shi, Xinjian Chen: Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images. Medical Imaging: Image Processing 2020: 113131O

4.Changxing Yang, Haihong Tian, Dehui Xiang*, Fei Shi, Weifang Zhu, Xinjian Chen: Automatic lung segmentation in low-dose CT image with contrastive attention module. Medical Imaging: Image Processing 2020: 1131333

5.Xiaoling Yang, Xinjian Chen, Dehui Xiang*: Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization. Medical Imaging: Image Processing 2020: 1131334

6.Xuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Ying Fan, Fei Shi: Group-wise attention fusion network for choroid segmentation in OCT images. Medical Imaging: Image Processing 2020: 1131332

2019

1.Geng Chen, Dehui Xiang*, Bin Zhang, Haihong Tian, Xiaoling Yang, Fei Shi, Weifang Zhu, Bei Tian, Xinjian Chen: Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition. IEEE Trans. Medical Imaging 38(7): 1736-1749 (2019)

2.Dehui Xiang, Geng Chen, Fei Shi, Weifang Zhu, Qinghuai Liu, Songtao Yuan, Xinjian Chen: Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy. IEEE J. Biomed. Health Informatics 23(1): 283-295 (2019)

3.Yibiao Rong, Dehui Xiang, Weifang Zhu, Kai Yu, Fei Shi, Zhun Fan, Xinjian Chen: Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 23(1): 253-263 (2019)

4.Lichun Zhang, Dehui Xiang, Chao Jin, Fei Shi, Kai Yu, Xinjian Chen: OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization. J. Digit. Imaging 32(1): 183-197 (2019)

5.Haihong Tian, Geng Chen, Dehui Xiang*, Xinjian Chen: Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition. Medical Imaging: Image Processing 2019: 109492D

6.Geng Chen, Dehui Xiang*, Haihong Tian, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen: Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image. Medical Imaging: Image Processing 2019: 1094926

7.Keling Fei, Kezhen Fei, Dehui Xiang, Shusen Tang, Wei Wang, Xu Wang: Automatic Detection of Conversion Blindness on Functional Brain Network Information. BIBM 2019: 1474-1480

2018

1.Dehui Xiang, Haihong Tian, Xiaoling Yang, Fei Shi, Weifang Zhu, Haoyu Chen, Xinjian Chen: Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization. IEEE Trans. Image Process. 27(12): 5880-5891 (2018)

2.Li Li, Dehui Xiang, Jinzuo Ye, Yang Du, Xinjian Chen, Jie Tian: Evaluation of chemotherapeutic response of temozolomide in orthotopic glioma using bioluminescence tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780Y

3.Bolan Yang, Dehui Xiang*, Feihong Yu, Xinjian Chen: Lung tumor segmentation based on multi-scale template matching and region growing. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782Q

4.HaoXuan Ni, Jinzuo Ye, Dehui Xiang, Yang Du, Xinjian Chen, Deihui Xiang, Jie Tian: A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057810

5.Yibiao Rong, Kai Yu, Dehui Xiang, Weifang Zhu, Zhun Fan, Xinjian Chen: Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming. COMPAY/OMIA@MICCAI 2018: 210-218

2017

1.Dehui Xiang, Ulas Bagci, Chao Jin, Fei Shi, Weifang Zhu, Jianhua Yao, Milan Sonka, Xinjian Chen: CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017)

2.Jingyun Guo, Weifang Zhu, Fei Shi, Dehui Xiang, Haoyu Chen, Xinjian Chen: A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT. IEEE Trans. Image Process. 26(7): 3518-3527 (2017)

3.Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen: Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. IEEE J. Biomed. Health Informatics 21(6): 1656-1666 (2017)

4.Shuxia Zhu, Fei Shi, Dehui Xiang, Weifang Zhu, Haoyu Chen, Xinjian Chen: Choroid Neovascularization Growth Prediction With Treatment Based on Reaction-Diffusion Model in 3-D OCT Images. IEEE J. Biomed. Health Informatics 21(6): 1667-1674 (2017)

5.Dehui Xiang, Geng Chen, Fei Shi, Weifang Zhu, Xinjian Chen: Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy. FIFI/OMIA@MICCAI 2017: 118-125

6.Qiangding Wei, Fei Shi, Weifang Zhu, Dehui Xiang, Haoyu Chen, Xinjian Chen: Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization. Medical Imaging: Image Processing 2017: 101330X

2016

1.Chao Jin, Fei Shi, Dehui Xiang, Xueqing Jiang, Bin Zhang, Ximing Wang, Weifang Zhu, Enting Gao, Xinjian Chen: 3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest. IEEE Trans. Medical Imaging 35(6): 1395-1407 (2016)

2.Dehui Xiang, Xueqing Jiang, Fei Shi, Weifang Zhu, Xinjian Chen: Liver recognition based on statistical shape model in CT images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881O

3.Xueqing Jiang, Dehui Xiang*, Bin Zhang, Fei Shi, Xinjian Chen: Automatic co-segmentation of lung tumor based on random forest in PET-CT images. Medical Imaging: Image Processing 2016: 97842W

4.Kai Yu, Xinjian Chen, Fei Shi, Weifang Zhu, Bin Zhang, Dehui Xiang*: A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models. Medical Imaging: Image Processing 2016: 97842V

5.Shuxia Zhu, Xinjian Chen, Fei Shi, Dehui Xiang, Weifang Zhu, Haoyu Chen: 3D choroid neovascularization growth prediction based on reaction-diffusion model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978807

6.Jianjun Fei, Weifang Zhu, Fei Shi, Dehui Xiang, Xiao Lin, Lei Yang, Xinjian Chen: Automatic choroid cells segmentation and counting in fluorescence microscopic image. Medical Imaging: Digital Pathology 2016: 97911B

2015

1.Guodong Li, Xinjian Chen, Fei Shi, Weifang Zhu, Jie Tian, Dehui Xiang*: Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images. IEEE Trans. Image Process. 24(12): 5315-5329 (2015)

2.Wei Ju, Deihui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen: Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. IEEE Trans. Image Process. 24(12): 5854-5867 (2015)

3.Fei Shi, Xinjian Chen, Heming Zhao, Weifang Zhu, Dehui Xiang, Enting Gao, Milan Sonka, Haoyu Chen: Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments. IEEE Trans. Medical Imaging 34(2): 441-452 (2015)

4.Wei Ju, Dehui Xiang, Bin Zhang, Xinjian Chen: Graph cut based co-segmentation of lung tumor in PET-CT images. Medical Imaging: Image Processing 2015: 94133K

5.Zhuli Sun, Fei Shi, Dehui Xiang, Haoyu Chen, Xinjian Chen: Automated segmentation of serous pigment epithelium detachment in SD-OCT images. Medical Imaging: Image Processing 2015: 94133Q

2014

1.Chao Jin, Dehui Xiang, Xinjian Chen: Renal cortex localization by combining 3D Generalized Hough Transform and 3D Active Appearance Models. ISBI 2014: 1275-1278

2.Liyun Wang, Weifang Zhu, Jianping Liao, Dehui Xiang, Chao Jin, Haoyu Chen, Xinjian Chen: Support vector machine based IS/OS disruption detection from SD-OCT images. Medical Imaging: Image Processing 2014: 90341U

2013

1.Jian Zheng, Pei-Rong Lu, Dehui Xiang, Yakang Dai, Zhaobang Liu, Duojie Kuai, Hui Xue, Yue-Tao Yang: Retinal Image Graph-Cut Segmentation Algorithm Using Multiscale Hessian-Enhancement-Based Nonlocal Mean Filter. Comput. Math. Methods Medicine 2013: 927285:1-927285:7 (2013)

2.Dehui Xiang, Xinjian Chen, Chao Jin: Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models. Abdominal Imaging 2013: 175-183

3.Guodong Li, Dehui Xiang, Fei Yang, Xiaonan Wan, Xin Yang, Jie Tian: Automatic detection of retinal vascular bifurcations and crossovers based on isotropy and anisotropy. Medical Imaging: Image Processing 2013: 86691T

2012

1.Fei Yang, Qingde Li, Dehui Xiang, Yong Cao, Jie Tian: A Versatile Optical Model for Hybrid Rendering of Volume Data. IEEE Trans. Vis. Comput. Graph. 18(6): 925-937 (2012)

2011

1.Dehui Xiang, Jie Tian, Fei Yang, Qi Yang, Xing Zhang, Qingde Li, Xin Liu: Skeleton Cuts - An Efficient Segmentation Method for Volume Rendering. IEEE Trans. Vis. Comput. Graph. 17(9): 1295-1306 (2011)

2.Dehui Xiang, Jie Tian, Kexin Deng, Xing Zhang, Fei Yang, Xiaonan Wan: Retinal vessel extraction by combining radial symmetry transform and iterated graph cuts. EMBC 2011: 3950-3953

3.Xing Zhang, Jie Tian, Dehui Xiang, Xiuli Li, Kexin Deng: Interactive liver tumor segmentation from ct scans using support vector classification with watershed.EMBC 2011: 6005-6008

2010

1.Xing Zhang, Jie Tian, Dehui Xiang, Yongfang Wu: Interactive segmentation method with graph cut and SVMs. Medical Imaging: Image Processing 2010: 76234M

荣誉奖励
  • 1、复杂病变医学影像分析方法与应用,苏州大学,向德辉,陈新建,石霏,朱伟芳,田蓓,2021.10,江苏省高等学校科学技术研究成果奖,二等奖
  • 2、复杂病变多模态医学影像处理技术创新与应用,苏州大学,向德辉,陈新建,石霏,朱伟芳,2021,江苏省科技咨询协会科学技术奖,二等奖
  • 3、智能医学影像分析及其临床诊断应用,苏州大学,陈新建,陈浩宇,朱伟芳,向德辉,石霏,俞凯,2020年,吴文俊人工智能技术发明奖,一等奖
  • 4、多模态医学影像处理与分析及其在疾病诊 断中的应用,苏州大学,陈新建、陈浩宇、郑健、朱伟芳、石霏、 向德辉,2018年,江苏省科学技术奖,二等奖
  • 5、基于外观字典学习和形状稀疏表示的图像分割方法,苏州大学,向德辉,陈新建,孟庆权,石霏,朱伟芳,2022.11,江苏省科技创新协会科技创新发明奖,一等奖
开授课程
  • 1、深度学习,研究生,2021.9-2022.1,88,54
  • 2、深度学习,研究生,2020.9-2021.1,60,54
  • 3、深度学习,研究生,2022.9-2023.1,108,54
  • 4、深度学习,研究生,2023.9-2024.1,111,54
招生信息

实验室研究经费充足,拥有大规模并行计算平台与海量医学影像数据,欢迎对人工智能、深度学习医学影像处理与分析算法感兴趣的同学(信息与通信工程、新一代电子信息技术方向的免试研究生、学硕或者专硕)联系。