Journals
2025
[58] Mengjiao Zhang, Xinwang Liu, Tianhao Han, Xiaofeng Qu, Sijie Niu
Adaptive Anchor-guided Representation Learning for Efficient Multi-view Subspace Clustering,
IEEE Transactions on Image Processing, 2025 (Under Review).
Adaptive Anchor-guided Representation Learning for Efficient Multi-view Subspace Clustering,
IEEE Transactions on Image Processing, 2025 (Under Review).
[57] Xueying Zhou, Sijie Niu, Xiangmin Han, Xiaohui Li, Xizhan Gao, Guang Feng, Jun Shi
Semantic Augmentation Variational Autoencoder for Unsupervised Anomaly Detection in Retinal OCT Images,
IEEE Transactions on Medical Imaging, 2025 (Major Revision).
Semantic Augmentation Variational Autoencoder for Unsupervised Anomaly Detection in Retinal OCT Images,
IEEE Transactions on Medical Imaging, 2025 (Major Revision).
[56] Mengjiao Zhang, Tianhao Han, Sijie Niu, Xinwang Liu, Xizhan Gao, Xiaofeng Qu
Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Images Classification,
IEEE Transactions on Geoscience and Remote Sensing, 2025 (Major Revision).
Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Images Classification,
IEEE Transactions on Geoscience and Remote Sensing, 2025 (Major Revision).
[55] Xizhan Gao, Xingrui Liu, Wei Hu, Sijie Niu, Zihao Dong, Fa Zhu, Danilo Pelusi
Multi-Level Feature Perception Network for Set-Based Video Face Identification,
IEEE Transactions on Biometrics, Behavior, and Identity Science, March, 2025.
Multi-Level Feature Perception Network for Set-Based Video Face Identification,
IEEE Transactions on Biometrics, Behavior, and Identity Science, March, 2025.
[54] Muhao Xu, Cuiping Zhu, Guang Feng, Sijie Niu
Multi-task Hybrid Knowledge Distillation for Unsupervised Anomaly Detection,
IEEE Transactions on Industrial Informatics, March. 2025.
Multi-task Hybrid Knowledge Distillation for Unsupervised Anomaly Detection,
IEEE Transactions on Industrial Informatics, March. 2025.
2024
[53] Yongbiao Gao, Sijie Niu, Guohua Lv, Miaogen Ling, Xin Geng
Long and Recent Preference Learning with Recent-k Items Distribution for Recommender System,
IEEE Transactions on Multimedia, 07 Nov. 2024.
Long and Recent Preference Learning with Recent-k Items Distribution for Recommender System,
IEEE Transactions on Multimedia, 07 Nov. 2024.
2023
[52] Yue Sun, Limei Wang, Kun Gao, Shihui Ying, Weili Lin, Kathryn L. Humphreys, Gang Li, Sijie Niu, Mingxia Liu, Li Wang
Self-supervised Learning with Application for Infant Cerebellum Segmentation and Analysis,
Nature Communications, 14, 4717, 2023. [PDF]
Self-supervised Learning with Application for Infant Cerebellum Segmentation and Analysis,
Nature Communications, 14, 4717, 2023. [PDF]
2022
[51] Muhao Xu, Xueying Zhou, Xizhan Gao, Weikai He, Sijie Niu*
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection,
IEEE Transactions on Instrumentation & Measurement, 2022. [PDF]
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection,
IEEE Transactions on Instrumentation & Measurement, 2022. [PDF]
[50] Xizhan Gao,Sijie Niu*, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong,Quansen Sun
Joint Metric Learning-based Class-specific Representation for Image Set Classification,
IEEE Transactions on Neural Networks and Learning Systems, 2022. [PDF]
Joint Metric Learning-based Class-specific Representation for Image Set Classification,
IEEE Transactions on Neural Networks and Learning Systems, 2022. [PDF]
[49] Fan Li, Sijie Niu*, Yingying Han, Yan Zhang, Zihao Dong, Jian Zhu
Multi-stage framework with difficulty-aware learning for progressive dose prediction,
Biomedical Signal Processing and Control, 82:104541 (2023). [PDF]
Multi-stage framework with difficulty-aware learning for progressive dose prediction,
Biomedical Signal Processing and Control, 82:104541 (2023). [PDF]
[48] Xueying Zhou, Sijie Niu*, Xiaohui Li, Hui Zhao, Xizhan Gao, Tingting Liu, Jiwen Dong
Spatial–contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images,
Computers in Biology and Medicine, 152:106328 (2023). [PDF]
Spatial–contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images,
Computers in Biology and Medicine, 152:106328 (2023). [PDF]
[47] Sijie Niu#,,Ruiwen Xing#,Xizhan Gao*,Tingting Liu*,Yuehui Chen
A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation,
IET Computer Vision, 2022:1-12 (2022). [PDF]
A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation,
IET Computer Vision, 2022:1-12 (2022). [PDF]
[46] Xizhan Gao,Zeming Feng, Dong Wei, Sijie Niu*, Hui Zhao, Jiwen Dong
Class-specific representation based distance metric learning for image set classification,
Knowledge-Based Systems, 109667. [PDF]
Class-specific representation based distance metric learning for image set classification,
Knowledge-Based Systems, 109667. [PDF]
[45] Tianhao Han, Sijie Niu*, Xizhan Gao, Wenyue Yu, Na Cui, Jiwen Dong
Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image,
IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2022.3189633 (2022). [PDF]
Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image,
IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2022.3189633 (2022). [PDF]
[44] Aidi Liu, Hui Zhao, Qingjie Wang, Sijie Niu, Xizhan Gao, Chuan Chen, Lixiang Li
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks,
Neural Networks, https://doi.org/10.1016/j.neunet.2022.05.031 (2022). [PDF]
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks,
Neural Networks, https://doi.org/10.1016/j.neunet.2022.05.031 (2022). [PDF]
[43] Sijie Niu#, Kun Gao#, Pengfei Ma, Xizhan Gao*, Hui Zhao, Jiwen Dong, Yuehui Chen, Dinggang Shen*
Exploiting Sparse Self-representation and Particle Swarm Optimization for CNN Compression,
IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/TNNLS.2022.3165530 (2022). [PDF]
Exploiting Sparse Self-representation and Particle Swarm Optimization for CNN Compression,
IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/TNNLS.2022.3165530 (2022). [PDF]
2021
[42] Qingjie Wang, Hui Zhao, Aidi Liu, Lixiang Li, Sijie Niu, Chuan Chen
Predefined-time Synchronization of Stochastic Memristor-based bidirectional associative memory Neural Networks with Time-varying Delays ,
IEEE Transactions on Cognitive and Developmental Systems, https://doi.org/10.1109/TCDS.2021.3126759 (2021). [PDF]
Predefined-time Synchronization of Stochastic Memristor-based bidirectional associative memory Neural Networks with Time-varying Delays ,
IEEE Transactions on Cognitive and Developmental Systems, https://doi.org/10.1109/TCDS.2021.3126759 (2021). [PDF]
[41] Sijie Niu, Xiaofeng Qu, Junting Chen, Xizhan Gao, Tingwei Wang, Jiwen Dong
MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection ,
IET Image Processing, https://doi.org/10.1049/ipr2.12308 (2021). [PDF]
MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection ,
IET Image Processing, https://doi.org/10.1049/ipr2.12308 (2021). [PDF]
[40] Md Shale Ahammed, Sijie Niu*, Md Rishad Ahmed, Jiwen Dong, Xizhan Gao and Yuehui Chen
DarkASDNet: Classification of ASD on functional MRI using Deep Neural Network ,
Frontiers in Neuroinformatics, doi: 10.3389/fninf.2021.635657 (2021). [PDF]
DarkASDNet: Classification of ASD on functional MRI using Deep Neural Network ,
Frontiers in Neuroinformatics, doi: 10.3389/fninf.2021.635657 (2021). [PDF]
[40] Ruiwen Xing, Sijie Niu*, Xizhan Gao, Wen Fan, Tingting Liu, Yuehui Chen
Weakly Supervised Serous Retinal Detachment Segmentation in SD-OCT Images by Two-stage Learning ,
Biomedical Optics Express, 12(4):2312-2327 (2021). [PDF]
Weakly Supervised Serous Retinal Detachment Segmentation in SD-OCT Images by Two-stage Learning ,
Biomedical Optics Express, 12(4):2312-2327 (2021). [PDF]
[39] Wenwen Kong#, Pengxiao Zang#, Sijie Niu*, Dengwang Li*,
Iterative registration for multi-modality retinal fundus photographs using directional vessel skeleton ,
IET Image Processing, 15(3): 696-704, 2021. [PDF]
Iterative registration for multi-modality retinal fundus photographs using directional vessel skeleton ,
IET Image Processing, 15(3): 696-704, 2021. [PDF]
[38] Yue Sun#, Kun Gao#, Sijie Niu*, Dinggang Shen, Gang Li, Li Wang*,
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge,
IEEE Transactions on Medical Imaging, https://doi.org/10.1109/TMI.2021.3055428, 2021. [PDF]
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge,
IEEE Transactions on Medical Imaging, https://doi.org/10.1109/TMI.2021.3055428, 2021. [PDF]
2020
[37] Yuhan Zhang, Xiwei Zhang, Zexuan Jia, Sijie Niu, Theodore
Leng,
Daniel L. Rubind, Songtao Yuan, Qiang Chen,
An integrated time adaptive geographic atrophy prediction model for SD-OCT images ,
Medical Image Analysis, https://doi.org/10.1016/j.media.2020.101893, 2020. [PDF]
An integrated time adaptive geographic atrophy prediction model for SD-OCT images ,
Medical Image Analysis, https://doi.org/10.1016/j.media.2020.101893, 2020. [PDF]
[36] Jian Yang, Zexuan Ji, Sijie Niu, Qiang Chen, Songtao Yuan,
Wen
Fan,
RMPPNet: residual multiple pyramid pooling network for subretinal fluid segmentation in SD-OCT images,
OSA Continuum, 3, 1751-1769, 2020. [PDF]
RMPPNet: residual multiple pyramid pooling network for subretinal fluid segmentation in SD-OCT images,
OSA Continuum, 3, 1751-1769, 2020. [PDF]
[35] Xiao Ma, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L.
Rubin,
Qiang Chen,
MS-CAM: Multi-Scale Class Activation Maps for Weakly-supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images,
IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2020.2999588, 2020. [PDF]
MS-CAM: Multi-Scale Class Activation Maps for Weakly-supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images,
IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2020.2999588, 2020. [PDF]
[34] Jie Xue, Zhuo Wang, Deting Kong, Yuan Wang, Xiyu Liu, Wen Fan, Songtao Yuan,
Sijie Niu*, Dengwang Li,
Deep ensemble neural-like P systems for segmentation of central serous chorioretinopathy lesion,
Information Fusion, 65:84-94, January 2021. [PDF]
Deep ensemble neural-like P systems for segmentation of central serous chorioretinopathy lesion,
Information Fusion, 65:84-94, January 2021. [PDF]
[33] Yue Sun, Sijie Niu*, Xizhan Gao, Jie Su, Jiwen Dong, Yuehui
Chen, Li Wang,
Adaptive-guided-coupling-probability Level Set for Retinal Layer Segmentation,
IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2020.298156, March 27 2020. [PDF]
Adaptive-guided-coupling-probability Level Set for Retinal Layer Segmentation,
IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2020.298156, March 27 2020. [PDF]
[32] Limei Wang, Sijie Niu*, Xizhan Gao, Kun Liu, Feixia Lu, Qi
Diao, Jiwen Dong,
Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images,
IEEE Geoscience and Remote Sensing Letters, 1-5,30 Jan 2020. [PDF]
Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images,
IEEE Geoscience and Remote Sensing Letters, 1-5,30 Jan 2020. [PDF]
2019
[31] Menglin Wu, Xinxin Cai, Qiang Chen, Zexuan Ji, Sijie Niu,
Theodore Leng, Daniel L Rubin, Hyunjin Park,
Geographic Atrophy Segmentation in SD-OCT Images Using Synthesized Fundus Autofluorescence Imaging,
Computer Methods and Programs in Biomedicine, 182:105101, 2019. [PDF]
Geographic Atrophy Segmentation in SD-OCT Images Using Synthesized Fundus Autofluorescence Imaging,
Computer Methods and Programs in Biomedicine, 182:105101, 2019. [PDF]
[30] Xizhan Gao, Sijie Niu, Quansen Sun,
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis,
IEEE Signal Processing Letters, 26(11):1578-1582, 2019. [PDF]
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis,
IEEE Signal Processing Letters, 26(11):1578-1582, 2019. [PDF]
[29] Chenchen Yu, Sha Xie, Sijie Niu, Zexuan Ji, Wen Fan,
Songtao
Fan, Qinghuai Liu, Qiang Chen,
Hyper-reflective Foci Segmentation in SD-OCT Retinal Images with Diabetic Retinopathy using Deep Convolutional Neural Networks,
Medical Physics, 46（10）:4502-4519, OCT 2019. [PDF]
Hyper-reflective Foci Segmentation in SD-OCT Retinal Images with Diabetic Retinopathy using Deep Convolutional Neural Networks,
Medical Physics, 46（10）:4502-4519, OCT 2019. [PDF]
[28] Jinghong Wu, Sijie Niu*, Qiang Chen, Wen Fan, Songtao Yuan,
Dengwang Li,
Automated Segmentation of Intraretinal Cystoid Macular Edema based on Gaussian Mixture Model,
Journal of Innovative Optical Health Sciences, DOI: 10.1142/S1793545819500202, 2019. [PDF]
Automated Segmentation of Intraretinal Cystoid Macular Edema based on Gaussian Mixture Model,
Journal of Innovative Optical Health Sciences, DOI: 10.1142/S1793545819500202, 2019. [PDF]
[27] Yanan Ruan, Jie Xue, Tianlai Li, Danhua Liu, Hua Lu, Meirong Chen, Tingting Liu,
Sijie Niu*, Dengwang Li,
Multi-phase level set algorithm based on fully convolutional networks (FCN-MLS) for retinal layer segmentation in SD-OCT images with central serous chorioretinopathy (CSC),
Biomedical Optics Express, 10(8):3987-4002, 2019. [PDF]
Multi-phase level set algorithm based on fully convolutional networks (FCN-MLS) for retinal layer segmentation in SD-OCT images with central serous chorioretinopathy (CSC),
Biomedical Optics Express, 10(8):3987-4002, 2019. [PDF]
[26] Kun Gao, Sijie Niu*, Zexuan Ji, Menglin Wu, Qiang Chen,
Rongbin
Xu, Songtao Yuan , Wen Fan, Yuehui Chen, Jiwen Dong,
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images,
Computer Methods and Programs in Biomedicine, 176(2019):69-80, 2019. [PDF]
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images,
Computer Methods and Programs in Biomedicine, 176(2019):69-80, 2019. [PDF]
[25] Kun Gao, Wenwen Kong, Sijie Niu*, Dengwang Li, Yuehui Chen,
Automatic retinal layer segmentation in SD-OCT images with CSC Guided by Spatial Characteristics,
Multimedia Tools and Applications, ***, 2019. [PDF]
Automatic retinal layer segmentation in SD-OCT images with CSC Guided by Spatial Characteristics,
Multimedia Tools and Applications, ***, 2019. [PDF]
[24] Loza Bekalo, Sijie Niu, Xiaojun He, Ping Li, P. Okuwobi, C.
Yu,
W. Fan, S. Yuan, Qiang Chen,
Automated 3-D Retinal Layer Segmentation from SD-OCT Images with Neurosensory Retinal Detachment,
IEEE Access, 14894-14907, 2019. [PDF]
Automated 3-D Retinal Layer Segmentation from SD-OCT Images with Neurosensory Retinal Detachment,
IEEE Access, 14894-14907, 2019. [PDF]
[23] Rongbin Xu, Sijie Niu*, Qiang Chen, Zexuan Ji, Daniel
Rubin,
Yuehui Chen,
Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model,
Computers in Biology and Medicine, 105:102-111, 2019. [PDF]
Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model,
Computers in Biology and Medicine, 105:102-111, 2019. [PDF]
Before 2018
[22] Zexuan Ji, Qiang Chen, Sijie Niu, Theodore Leng, Daniel L.
Rubin,
Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images,
Translational Vision Science & Technology, 7(1):1, 2018. [PDF]
Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images,
Translational Vision Science & Technology, 7(1):1, 2018. [PDF]
[21] Qiang Chen, Sijie Niu, Qiang Chen, Zexuan Ji, Daniel Rubin,
Yuehui Chen,
Automated choroid segmentation of three-dimensional SD-OCT images by incorporating EDI-OCT images,
Computer Methods and Programs in Biomedicine, 158: 161-171, 2018. [PDF]
Automated choroid segmentation of three-dimensional SD-OCT images by incorporating EDI-OCT images,
Computer Methods and Programs in Biomedicine, 158: 161-171, 2018. [PDF]
[20] Sijie Niu, Qiang Chen, Luis de Sisternes, Theodore Leng and
Daniel L. Rubin,
Automated detection of foveal center in SD-OCT images using the saliency of retinal thickness maps,
Medical Physics, 44(12): 6390-6403, 2017. [PDF]
Automated detection of foveal center in SD-OCT images using the saliency of retinal thickness maps,
Medical Physics, 44(12): 6390-6403, 2017. [PDF]
[19] Sijie Niu, Chenchen Yu, Qiang Chen, Songtao Yuan, Jiang
Lin,
Wen Fan, Qinghuai Liu,
Multimodality analysis of Hyperreflective Foci and Hard Exudates in Patients with Diabetic Retinopathy,
Scientific Reports, 7(1):1568, 2017. [PDF]
Multimodality analysis of Hyperreflective Foci and Hard Exudates in Patients with Diabetic Retinopathy,
Scientific Reports, 7(1):1568, 2017. [PDF]
[17] Qiang Chen, Sijie Niu, Songtao Yuan, Wen Fan, Qinghuai Liu,
High–low reflectivity enhancement based retinal vessel projection for SD-OCT images,
Medical Physics, 43(10):5464-5474, 2016. [PDF]
High–low reflectivity enhancement based retinal vessel projection for SD-OCT images,
Medical Physics, 43(10):5464-5474, 2016. [PDF]
[16] Sijie Niu, Luis de Sisternes, Qiang Chen, Daniel L. Rubin,
Theodore Leng,
Fully automated prediction of geographic atrophy growth using quantitative spectral-domain optical coherence tomography biomarkers,
Ophthalmology, 123(8): 1737-1750, 2016. [PDF]
Fully automated prediction of geographic atrophy growth using quantitative spectral-domain optical coherence tomography biomarkers,
Ophthalmology, 123(8): 1737-1750, 2016. [PDF]
[15] Sijie Niu, Luis de Sisternes, Qiang Chen, Theodore Leng,
and
Daniel L. Rubin,
Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor,
Biomedical Optics Express, 7(2): 581-600, 2016. [PDF]
Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor,
Biomedical Optics Express, 7(2): 581-600, 2016. [PDF]
[14] Sijie Niu, Luis De Sisternes, Qiang Chen, Theodore Leng,
Daniel
L Rubin,
Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement,
Investigative Ophthalmology Visual Science, 56(7):2839, 2015.
Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement,
Investigative Ophthalmology Visual Science, 56(7):2839, 2015.
[13] Sijie Niu, Qiang Chen, Luis de Sisternes, Daniel L.
Rubin,
Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint,
Computers in Biology and Medicine, 54: 116-128, 2014. [PDF]
Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint,
Computers in Biology and Medicine, 54: 116-128, 2014. [PDF]
[12] Qiang Chen, Sijie Niu, Songtao Yuan, Wen Fan, Qinghuai Liu,
Choroidal Vasculature Characteristics Based Choroid Segmentation for Enhanced Depth Imaging Optical Coherence Tomography Images,
Medical Physics, 43(4):1649-1661, 2016. [PDF]
Choroidal Vasculature Characteristics Based Choroid Segmentation for Enhanced Depth Imaging Optical Coherence Tomography Images,
Medical Physics, 43(4):1649-1661, 2016. [PDF]
[11] Qiang Chen, Sijie Niu, Honglie Shen, Theodore Leng, Luis de
Sisternes, Daniel L. Rubin,
Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images,
Translational Vision Science & Technology, 4(5):1-4, 2015. [PDF]
Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images,
Translational Vision Science & Technology, 4(5):1-4, 2015. [PDF]
[10] Qiang Chen, Theodore Leng, Sijie Niu, Jiajia Shi, Luis de
Sisternes, and Daniel L. Rubin,
A false color fusion strategy for drusen and GA visualization in OCT images,
Retina, 34(12):2346-58, 2014. [PDF]
A false color fusion strategy for drusen and GA visualization in OCT images,
Retina, 34(12):2346-58, 2014. [PDF]
[9] Qiang Chen, Wen Fan, Sijie Niu, Jiajia Shi, Honglie Shen,
and
Songtao Yuan,
Automated choroid segmentation based on gradual intensity distance in HD-OCT images,
Optics Express, 23(7): 8974-8994, 2015. [PDF]
Automated choroid segmentation based on gradual intensity distance in HD-OCT images,
Optics Express, 23(7): 8974-8994, 2015. [PDF]
[8] 陈强（Qiang Chen）,徐军（Jun Xu）, 牛四杰（Sijie Niu）,
基于随机森林的频谱域光学相干层析技术的图像视网膜神经纤维层分割,
电子与信息学报, 39 (5): 1101-1108, 2017. [PDF]
基于随机森林的频谱域光学相干层析技术的图像视网膜神经纤维层分割,
电子与信息学报, 39 (5): 1101-1108, 2017. [PDF]
[6] 牛四杰（Sijie Niu）,陈强（Qiang Chen）, 陆圣陶（Shengtao Lu）, 沈鸿烈（Honglie
Shen）,
应用多尺度三维图搜索的SD-OCT图像层分割,
计算机科学, 42(9), 272-277, 2015.
应用多尺度三维图搜索的SD-OCT图像层分割,
计算机科学, 42(9), 272-277, 2015.
[5] 谭海鹏（Haipeng Tan）, 曾炫杰（Xuanjie Zeng），牛四杰（Sijie Niu）,陈强（Qiang
Chen）,
基于正则化约束的遥感图像多尺度去模糊,
中国图象图形学报, 20(3):0386-0394, 2015. [PDF]
基于正则化约束的遥感图像多尺度去模糊,
中国图象图形学报, 20(3):0386-0394, 2015. [PDF]
[4] 王玉萍（Yuping Wang）, 陈强（Qiang Chen）, 陆圣陶（Shengtao Lu），牛四杰（Sijie
Niu）,
分类法定量评估频谱光学相干层析图像杯盘比,
计算机辅助设计与图形学学报, 27(8):1539-1547, 2015. [PDF]
分类法定量评估频谱光学相干层析图像杯盘比,
计算机辅助设计与图形学学报, 27(8):1539-1547, 2015. [PDF]
[3] 陆圣陶（Shengtao Lu）, 陈强（Qiang Chen），牛四杰（Sijie Niu）,王玉萍（Yuping
Wang）,
基于图搜索和梯度弱化的SDOCT图像ILM层分割,
现代电子技术, 38(4): 106-110, 2015.
基于图搜索和梯度弱化的SDOCT图像ILM层分割,
现代电子技术, 38(4): 106-110, 2015.
[2] 曾炫杰（Xuanjie Zeng）, 陈强（Qiang Chen），谭海鹏（Haipeng Tan），牛四杰（Sijie
Niu）,
基于CUDA的加速双边滤波算法,
计算机科学, 42(z1):163-167, 2015.
基于CUDA的加速双边滤波算法,
计算机科学, 42(z1):163-167, 2015.
[1] 贾渊（Yuan Jia）, 刘鹏程（Pengcheng Liu），牛四杰（Sijie Niu）,
偏微分方程图像处理及程序设计,
科学出版社, 2012.
偏微分方程图像处理及程序设计,
科学出版社, 2012.
Conferences
[21] Xiaohui Li, Sijie Niu*, Xizhan Gao, Tingting Liu, Jiwen Dong
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation,
Proc. ICONIP 2021, (27 Sep 2021).（CCF-C）
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation,
Proc. ICONIP 2021, (27 Sep 2021).（CCF-C）
[20] Yingying Han, Jiwen Dong, Fan Li, Xiaohui Li, Xizhan Gao, Sijie Niu*
AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation (AF) and Local-Linearly Constrained Bias Field (LLC),
Proc. ICONIP 2021, (27 Sep 2021).（CCF-C）
AFLLC: A Novel Active Contour Model based on Adaptive Fractional Order Differentiation (AF) and Local-Linearly Constrained Bias Field (LLC),
Proc. ICONIP 2021, (27 Sep 2021).（CCF-C）
[19] Jiwen Dong, Junting Chen, Xizhan Gao, Rongbin Xu, Sijie Niu
Automated geographic atrophy segmentation with multi-loss for SD-OCT images based on patient independent,
Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172012 (27 January 2021). [PDF]
Automated geographic atrophy segmentation with multi-loss for SD-OCT images based on patient independent,
Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172012 (27 January 2021). [PDF]
[18] Limei Wang, Sijie Niu, Leilei Geng,
Kernel Fuzzy C Means Clustering with New Spatial Constraints,
ICAIS 2020: Artificial Intelligence and Security, 3-14, 2020.
Kernel Fuzzy C Means Clustering with New Spatial Constraints,
ICAIS 2020: Artificial Intelligence and Security, 3-14, 2020.
[17] Kun Gao,Yue Sun, Sijie Niu, Li Wang,
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism,
MICCAI Workshop on Machine Learning in Medical Imaging,MLMI 2020, 2020. [PDF]
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism,
MICCAI Workshop on Machine Learning in Medical Imaging,MLMI 2020, 2020. [PDF]
[16] Yue Sun, Kun Gao, Sijie Niu,Weili Lin, Gang Li, Li Wang,
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation,
MICCAI Workshop on Machine Learning in Medical Imaging,MLMI 2020, 2020. [PDF]
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation,
MICCAI Workshop on Machine Learning in Medical Imaging,MLMI 2020, 2020. [PDF]
[15] Tieqiao Wang, Sijie Niu*,Jiwen Dong, Yuehui Chen,
Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images,
MICCAI Workshop on Ophthalmic Medical Image Analysis,OMIA 2020, 2020. [PDF]
Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images,
MICCAI Workshop on Ophthalmic Medical Image Analysis,OMIA 2020, 2020. [PDF]
[14] Haochen Yang, Tieqiao Wang, Xuesong Zhou, Jiwen Dong, Xizhan Gao，Sijie
Niu*,
Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor,
2019 2nd International Conference on Big Data Technologies ICBDT 2019, 2019.
Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor,
2019 2nd International Conference on Big Data Technologies ICBDT 2019, 2019.
[13] Yue Sun, Sijie Niu*,Jiwen Dong, Yuehui Chen,
3D Level Set Method via Local Structure Similarity Factor for Automatic Neurosensory Retinal Detachment Segmentation in Retinal SD-OCT Images,
International CCF Conference on Artificial Intelligence ICAI 2019: Artificial Intelligence, pp. 83-9, 2019.
3D Level Set Method via Local Structure Similarity Factor for Automatic Neurosensory Retinal Detachment Segmentation in Retinal SD-OCT Images,
International CCF Conference on Artificial Intelligence ICAI 2019: Artificial Intelligence, pp. 83-9, 2019.
[12] Xiaofeng Qu, Jiwen Dong, Sijie Niu*,
shallowCNN-LE: A shallow CNN with Laplacian Embedding for face anti-spoofing,
2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019. [PDF]
shallowCNN-LE: A shallow CNN with Laplacian Embedding for face anti-spoofing,
2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019. [PDF]
[11] Weifang Wang, Jiwen Dong, Sijie Niu*,Yuehui Chen,
Non-local similarity edge-guided based semi-coupled dictionary learning super resolution,
2018 International Conference on Security, Pattern Analysis, and Cybernetics, 2018.
Non-local similarity edge-guided based semi-coupled dictionary learning super resolution,
2018 International Conference on Security, Pattern Analysis, and Cybernetics, 2018.
[10] Wei Tian, Yishen Pang, Sijie Niu*,Haochen Yang, Jiwen Dong,
Jin
Zhou, Yuehui Chen,
Automatic identification of vulnerable plaque based on flexible neural tree,
2018 International Conference on Security, Pattern Analysis, and Cybernetics, 2018.
Automatic identification of vulnerable plaque based on flexible neural tree,
2018 International Conference on Security, Pattern Analysis, and Cybernetics, 2018.
[9] Weifang Wang, Jiwen Dong, Sijie Niu*, Yuehui Chen,
EDGE-GUIDED SEMI-COUPLED DICTIONARY LEARNING SUPER RESOLUTION FOR RETINA IMAGE,
IEEE International Symposium on Biomedical Imaging, 2019. [PDF]
EDGE-GUIDED SEMI-COUPLED DICTIONARY LEARNING SUPER RESOLUTION FOR RETINA IMAGE,
IEEE International Symposium on Biomedical Imaging, 2019. [PDF]
[8] Yuchun Li, Sijie Niu, Zexuan Ji, Wen Fan, Songtao Yuan,
Qiang
Chen,
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images,
2018 International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI2018, 381-388，2018. [PDF]
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images,
2018 International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI2018, 381-388，2018. [PDF]
[7] Zexuan Ji, Qiang Chen, Menglin Wu, Sijie Niu, Wen Fan,
Songtao
Yuan, Quan-Sen Sun,
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images,
2018 International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI2018, 372-380,2018. [PDF]
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images,
2018 International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI2018, 372-380,2018. [PDF]
[6] Jiwen Dong, Weifang Wang, Guang Feng, Sijie Niu*,
The denoising semi-coupled dictionary learning for retina image super-resolution,
2018 international workshop on Pattern Recognition, (2) 2018: 372-380.
The denoising semi-coupled dictionary learning for retina image super-resolution,
2018 international workshop on Pattern Recognition, (2) 2018: 372-380.
[5] Rongbin Xu, Sijie Niu*, Kun Gao, Yuehui Chen,
Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images,
14th International Conference on Intelligent Computing, 493-503, 2018.
Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images,
14th International Conference on Intelligent Computing, 493-503, 2018.
[4] Leilei Geng, Xiushan Nie, Sijie Niu, Yilong Yin, Jun Lin,
Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring,
25th IEEE International Conference on Image Processing (ICIP), 2865-2869, 2018. [PDF]
Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring,
25th IEEE International Conference on Image Processing (ICIP), 2865-2869, 2018. [PDF]
[3] Xin Fu, Dong Wang, Sijie Niu, Hengcai Zhang,
A Semantic Context Model for Automatic Image Annotation,
14th International Conference on Intelligent Computing, 536-542, 2018.
A Semantic Context Model for Automatic Image Annotation,
14th International Conference on Intelligent Computing, 536-542, 2018.
[2] Yubo Huang, Zexuan Ji, Qiang Chen, Sijie Niu,
Geographic Atrophy Segmentation for SD-OCT Images by MFO Algorithm and Affinity Diffusion,
Intelligence Science and Big Data Engineering, 473-484, 2017.
Geographic Atrophy Segmentation for SD-OCT Images by MFO Algorithm and Affinity Diffusion,
Intelligence Science and Big Data Engineering, 473-484, 2017.
[1] Sijie Niu, Qiang Chen, Luis de Sisternes, Daniel L. Rubin,
Registration of SD-OCT en-face images with color fundus photographs based on local patch matching,
International workshop on Ophthalmic Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), 25-32, 2014.
Registration of SD-OCT en-face images with color fundus photographs based on local patch matching,
International workshop on Ophthalmic Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), 25-32, 2014.
Patents
[10] 牛四杰（Sijie Niu）, 李帆（Fan Li），高希占（Xizhan Gao），王昱棋（Yuqi Wang），刘强（Qiang Liu），董吉文（Jiwen Dong）
基于深度学习的MR影像肝癌术后复发风险预测方法及系统,
国家发明专利, 申请专利号：202110465678.7.
基于深度学习的MR影像肝癌术后复发风险预测方法及系统,
国家发明专利, 申请专利号：202110465678.7.
[9] 牛四杰（Sijie Niu）, 李帆（Fan Li），韩颖颖（Yingying Han），高希占（Xizhan Gao），董吉文（Jiwen Dong）
一种个性化精准放疗计划中的三维剂量预测方法及系统,
国家发明专利, 申请专利号：202110375397.2.
一种个性化精准放疗计划中的三维剂量预测方法及系统,
国家发明专利, 申请专利号：202110375397.2.
[8] 牛四杰（Sijie Niu）, 李孝辉（Xiaohui Li），韩颖颖（Yingying Han），高希占（Xizhan Gao），董吉文（Jiwen Dong）
一种OCT视网膜图像领域适应分割方法及系统,
国家发明专利, 申请专利号：202110375473.X.
一种OCT视网膜图像领域适应分割方法及系统,
国家发明专利, 申请专利号：202110375473.X.
[7] 牛四杰（Sijie Niu）, 徐荣彬（Rongbin Xu），商慧杰（Huijie Shang），高鲲（Kun Gao）
心血管光学相干断层OCT图像易损斑块自动识别方法,
国家发明专利, 申请专利号：CN201711136466.4.
心血管光学相干断层OCT图像易损斑块自动识别方法,
国家发明专利, 申请专利号：CN201711136466.4.
[6] 牛四杰（Sijie Niu）, 王丽梅（Limei Wang），韩天昊（Tianhao Han），周雪松（Xuesong Zhou）,董吉文（Jiwen Dong）
基于卷积LSTM神经网络的云层轨迹预测方法及系统,
国家发明专利, 申请专利号：202011185873.6.
基于卷积LSTM神经网络的云层轨迹预测方法及系统,
国家发明专利, 申请专利号：202011185873.6.
[5] 牛四杰（Sijie Niu）, 王丽梅（Limei Wang），崔娜（Na Cui），刘鹍（Kun Liu）,董吉文（Jiwen Dong）
稀疏子空间聚类的高光谱地物自动分类方法及系统,
国家发明专利, 申请专利号：202011185874.0.
稀疏子空间聚类的高光谱地物自动分类方法及系统,
国家发明专利, 申请专利号：202011185874.0.
[4] 陈强（Qiang Chen），牛四杰（Sijie Niu）, 时佳佳（Jiajia Shi），沈宏烈（Honglie
Shen）,
基于HD-OCT视网膜图像的脉络膜层自动分割算法,
国家发明专利, 专利号：201310473464.x，2016-01-20.
基于HD-OCT视网膜图像的脉络膜层自动分割算法,
国家发明专利, 专利号：201310473464.x，2016-01-20.
[3] 陈强（Qiang Chen），牛四杰（Sijie Niu）, 时佳佳（Jiajia Shi），陆圣陶（Shengtao
Lu）,
基于血管的眼底图像与SD-OCT投影图像自动配准方法,
国家发明专利, 专利号：201410064190.3，2016-08-17.
基于血管的眼底图像与SD-OCT投影图像自动配准方法,
国家发明专利, 专利号：201410064190.3，2016-08-17.
[2] 陈强（Qiang Chen），牛四杰（Sijie Niu）, 沈宏烈（Honglie
Shen），陆圣陶（Shengtao
Lu）,王玉萍（Yuping Wang），
基于SD-OCT视网膜图像的地图状萎缩投影图像生成方法,
国家发明专利, 专利号：201410295666，2016-09-21.
基于SD-OCT视网膜图像的地图状萎缩投影图像生成方法,
国家发明专利, 专利号：201410295666，2016-09-21.
[1] 陈强（Qiang Chen），牛四杰（Sijie Niu）, 俞晨琛（Chenchen, Yu）,
袁松涛（Songtao
Yuan）, 范雯（Wen Fan），
糖尿病性视网膜病变图像中硬性渗出与高反射信号的分析方法,
国家发明专利, 专利号： 201610802391，2019-01-24.
糖尿病性视网膜病变图像中硬性渗出与高反射信号的分析方法,
国家发明专利, 专利号： 201610802391，2019-01-24.
Software Copyright
[4] 牛四杰（Sijie Niu）, 韩天昊（Tianhao Han）
ConvLSTM云层轨迹预测系统,软件著作权.
ConvLSTM云层轨迹预测系统,软件著作权.
[3] 于文悦（Wenyue Yu），韩天昊（Tianhao Han），牛四杰（Sijie Niu）
高光谱图像智能解译系统,软件著作权.
高光谱图像智能解译系统,软件著作权.
[2] 孔文洋（Wenyang Kong），牛四杰（Sijie Niu）
基于视网膜图像的计算机辅助分析与可视化软件,软件著作权.
基于视网膜图像的计算机辅助分析与可视化软件,软件著作权.
[1] 李柄孚（Bingfu Li），牛四杰（Sijie Niu）
活体人脸反欺骗智能检测平台,软件著作权.
活体人脸反欺骗智能检测平台,软件著作权.
Projects
[9] 变分水平集与深度表征联合学习的视网膜病变分析及预测，国家自然科学基金青年项目, 2018.1.1-2020.12.31.
主持
[8] 基于变分与深度网络协同学习的OCT视网膜病变图像分割方法研究，山东省自然科学基金青年项目, 2017.8-2019.12.
主持
[7] 多模型协同学习的视网膜图像分割方法及应用研究，中国博士后基金面上项目, 2017.2-2021.2.
主持
[6] 联合深度特征与变分模型的视网膜病变分割算法研究，山东省博士后创新项目, 2017.2-2021.2.
主持
[5] 联合深度结构表征与变分模型的视网膜病变分割算法研究，南京理工大学高维信息只能感知与系统教育部重点实验室创新基金,
2017.2-2018.12. 主持
[4] 基于光学相干断层图像的老年黄斑变性分析若干关键技术研究，国家自然科学基金面上项目, 2017.1-2020.12.
主持
[3] 面向群体推荐问题的多用户兴趣建模方法研究，国家自然科学基金青年项目, 2018.1-2020.12.
第三参与人
[2] 基于MTF和变分的多光谱和可见光影响融合研究，航天科技创新基金, 2014.1-2015.12，已结题.
第四参与人
[1] 三维SD-OCT视网膜图像病变可视化显示研究，江苏省2014年“六大人才高峰”高层次人才项目, 已结题，
第三参与人