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医学影像处理与分析实验室

地  址:苏州市姑苏区干将东路333号
邮  箱:xjchen@suda.edu.cn
邮  编:215000
 

科研成果

2020

期刊论文

1. Shuanglang Feng,Heming Zhao,Xuena Cheng,Meng Wang,Yuhui Ma,Dehui Xiang,Weifang Zhu,Xinjian Chen. CPFNet:Context Pyramid Fusion Network for Medical. IEEE TRANSACTIONS ON MEDICAL IMAGING,2020.[PDF] https://github.com/FENGShuanglang/CPFNet_Project

2. 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 TRANSACTIONS ON IMAGE PROCESSING,2020.[PDF]

3. Gaohui Luo,Xinjian Chen,Fei Shi,Yunzhen Peng,Dehui Xiang,Qiuying Chen,Xun Xu,Weifang Zhu, Ying Fan. Multimodal affine registration for ICGA and MCSL fundus images of high myopia. BIOMEDICAL OPTICS EXPRESS, 2020.[PDF]

4. Xiaoming Xi,Xianjing Meng,Zheyun Qin,Xiushan Nie,Yilong Yin,Xinjian Chen. IA-Net: Informative Attention Convolutional Neural Network for Choroidal Neovascularization Segmentation in OCT Images. BIOMEDICAL OPTICS EXPRESS, 2020.[PDF]

5. Yuanyuan Peng,Cuilian Li,Yibiao Rong,Xinjian Chen,Haoyu Chen. Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning. Journal of Global Health, 2020.[PDF]

6. Yiqiu Zhang,Sidi Liu,Yihui Miao,Xuyue Chen,Xiang Xiao,Zhongyun Jiang,Xinjian Chen,Baoqing Nie,Jian Liu. A Highly Stretchable and Sensitive Pressure Sensor Array Based on Icicle-Shaped Liquid Metal Film Electrodes. ACS Applied Materials & Interfaces, 2020.[PDF]

会议论文

1. Liangjiu Zhu, Weifang Zhu, Shuanglang Feng, Xinjian Chen. Fully automated segmentation of hyperreflective foci in OCT images using a U-shape network, SPIE Medical Imaging 2020: Image Processing.[PDF]

2. Zhu Liangjiu#, Shuanglang Feng#, Weifang Zhu, Xinjian Chen. ASNet: an adaptive scale network for skin lesion segmentation based on dermoscopy images, SPIE Medical Imaging 2020: Image Processing.[PDF]

3. Haihong Tian, Dehui Xiang, Fei shi, Weifang Zhu, Xinjian Chen. Fully Convolutional Network with Sparse Feature-maps Composition for Automatic Lung Tumor Segmentation from PET Images, SPIE Medical Imaging 2020: Image Processing.[PDF]

4. Changxing Yang, Haihong Tian, Dehui Xiang, Fei shi, Weifang Zhu, Xinjian Chen. Automatic Pathological Lung Segmentation in Low-Dose CT Image with Contrastive Attention Module, SPIE Medical Imaging 2020: Image Processing.[PDF]

5. Jinzhu Su, Xinjian Chen, Yuhui Ma, Weifang Zhu, Fei Shi. Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocks. SPIE Medical Imaging 2020: Image Processing.[PDF]

6. Xiaoling Yang, Xinjian Chen, Dehui Xiang.Attention-guided Channel to Pixel Convolution Network for Retinal Layer Segmentation with Choroidal Neovascularization. SPIE Medical Imaging 2020: Image Processing.[PDF]

7. Yuanyuan Peng,Weifang Zhu,Feng Chen,Daoman Xiang,Xinjian Chen,"Automated Retinopathy of Prematurity Screening Using Deep Neural Network with Attention Mechanism",Proc.SPIE,Medical Imaging 2020:Imaging Processing.[PDF]

8. Dengsen Bao,Xuena Cheng,Weifang Zhu,Fei Shi,Xinjian Chen. "Attention Multi-Scale Network for Pigment Epithelial Detachment Segmentation in OCT Images". SPIE,Houston,Texas United States.2020.19 February 2020.11313-112.[PDF]

9. Lei Ye, Weifang Zhu, Shuanglang Feng, Xinjian Chen. GANet: Group Attention Network for Diabetic Retinopathy Image Segementation., SPIE Medical Imaging 2020: Image Processing.[PDF]

10. Xuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Fei Shi, and Ying Fan. Group-wise Attention Fusion Network for Choroid Segmentation in OCT Images, SPIE Medical Imaging 2020: Image Processing.[PDF]

11. Zhou Xinxin, Xinjian Chen, Shuanglang Feng, Fei Shi.An improved U-net for nerve fibre segmentation in confocal corneal microscopy images., SPIE Medical Imaging 2020: Image Processing.[PDF]

12. Ruyi Lu, Weifang Zhu, Xuena Cheng, Xinjian Chen, Ivica Kopriva. Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-loss, SPIE Medical Imaging 2020: Image Processing.[PDF]

13. Le Geng,Panming Li,Weifang Zhu,Xinjian Chen. M2E-Net: Multiscale Morphological Enhancement Network for Retinal Vessel Segmentation. Conference on Pattern Recognition and Computer Vision, PRCV 2020.[PDF]

14. Lei Ye,Weifang Zhu,Dengsen Bao,Shuanglang Feng,Xinjian Chen. Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization. MICCAI 2020.[PDF]

15. Panming Li,Le Geng,Weifang Zhu,Fei Shi,Xinjian Chen. AUTOMATIC ANGLE-CLOSURE GLAUCOMA SCREENING BASED ON THE LOCALIZATION OF SCLERAL SPUR IN ANTERIOR SEGMENT OCT. ISBI 2020.[PDF]

专利

1. 三维力柔性触觉传感器及其制备方法与解耦方法,申请号:202011390552.X,发明专利,已授权,聂宝清,刘坚,陈新建,耿佳蕾.

2. 一种基于改进U型网络的视网膜OCT图像中近视性黄斑病变区域分割方法,申请号:202011161061.8,发明专利,等待实审提案,朱伟芳,刁逸超,陈新建.

3. MCSLI图像中条纹损伤的分割方法,申请号:2020115534401,发明专利,等待实审提案,朱伟芳,罗高辉,陈新建.

4. 眼底医学影像中脉络膜萎缩的分割方法,申请号:2020115534844,发明专利,等待实审提案,朱伟芳,宋佳欢,陈新建.

5. 眼底医学影像中视杯视盘的联合分割方法,申请号:2020115530877 ,发明专利,等待实审提案,朱伟芳,朱乾龙,陈新建 .

6. 一种基于注意力机制和深监督策略的早产儿视网膜病变自动分区识别方法,申请号:202011161035.5,发明专利,等待实审提案,陈新建,彭圆圆.

7. 一种适用于视网膜光学相干断层扫描图像中高反射亮斑分割的自适应网络,申请号:202011160346.X,发明专利,等待实审提案,陈新建,姚辰璞.

8. 一种使用OCT信号进行眼底屈光补偿判定与成像优化的方法,申请号:202011236869.8,发明专利,等待实审提案,陈新建,王波.

9. 一种视网膜OCT图像水平配准和图像增强方法,申请号:202011237202.X,发明专利,等待实审提案,陈新建,王波,刘铭.


地址: 苏州市姑苏区干将东路333号   邮箱:xjchen@suda.edu.cn 
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