Sijie Niu

发表

Remove meat image's reflective areas with a level set constraint inpainting algorithm based on exemplar patch

Yuan Jia, P. Liu, Sijie Niu, 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).

Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration

Lin Wang, Bo Yang, Sung-Kwun Oh, 2022, Pattern Recognit..

Segmentation and Visualization of Drusen and Geographic Atrophy in SD-OCT Images

D. Rubin, Theodore Leng, Qiang Chen, 2019, Biological and Medical Physics, Biomedical Engineering.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge pdf

M.N.S. Swamy, Jun Ma, M. Omair Ahmad, 2020, IEEE Transactions on Medical Imaging.

Fully Automated Prediction of Geographic Atrophy Growth Using Quantitative Spectral-Domain Optical Coherence Tomography Biomarkers.

Luis de Sisternes, Sijie Niu, Daniel L Rubin, 2016, Ophthalmology.

Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement

D. Rubin, Theodore Leng, Qiang Chen, 2015 .

An integrated time adaptive geographic atrophy prediction model for SD-OCT images

Sijie Niu, Qiang Chen, Xiwei Zhang, 2020, Medical Image Anal..

MPB-CNN: a multi-scale parallel branch CNN for choroidal neovascularization segmentation in SD-OCT images

Qiang Chen, Zexuan Ji, Yuexuan Wang, 2019, OSA Continuum.

Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection

Sijie Niu, Xizhan Gao, Muhao Xu, 2022, IEEE Transactions on Instrumentation and Measurement.

Deep Hash with Optimal Transport-Based Domain Adaptation for Multisite MRI Retrieval

Mingxia Liu, Jingcheng Yang, Sijie Niu, 2022, Wireless Communications and Mobile Computing.

Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images

Qiang Chen, Zexuan Ji, Sijie Niu, 2018, MICCAI.

Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images

Qiang Chen, Daniel L. Rubin, Zexuan Ji, 2018, Translational vision science & technology.

Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging

Hyunjin Park, Qiang Chen, Daniel L. Rubin, 2019, Comput. Methods Programs Biomed..

Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model

Yuehui Chen, Qiang Chen, Daniel L. Rubin, 2019, Comput. Biol. Medicine.

Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images

Kun Gao, Yuehui Chen, Rongbin Xu, 2018, ICIC.

Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor.

Qiang Chen, Luis de Sisternes, Sijie Niu, 2016, Biomedical optics express.

Associations of macular microvascular parameters with cerebral small vessel disease in rural older adults: A population-based OCT angiography study

Shi Yuan Tang, C. Qiu, Shanshan Wang, 2023, Frontiers in Neurology.

A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images

Qiang Chen, Daniel L. Rubin, Zexuan Ji, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images.

Luis de Sisternes, Sijie Niu, Daniel L Rubin, 2015, Translational vision science & technology.

A FALSE COLOR FUSION STRATEGY FOR DRUSEN AND GEOGRAPHIC ATROPHY VISUALIZATION IN OPTICAL COHERENCE TOMOGRAPHY IMAGES

Luis de Sisternes, Sijie Niu, Daniel L Rubin, 2014, Retina.

Informative Feature-Guided Siamese Network for Early Diagnosis of Autism

Sijie Niu, Yue Sun, Kun Gao, 2020, MLMI@MICCAI.

Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images

Kun Liu, Sijie Niu, Qi Diao, 2020, IEEE Geoscience and Remote Sensing Letters.

Robust noise region-based active contour model via local similarity factor for image segmentation

Qiang Chen, Daniel L. Rubin, Zexuan Ji, 2017, Pattern Recognit..

Deep ensemble neural-like P systems for segmentation of central serous chorioretinopathy lesion

Zhuo Wang, Sijie Niu, Yuan Wang, 2021, Inf. Fusion.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Dinggang Shen, M.N.S. Swamy, Jun Ma, 2020, IEEE Transactions on Medical Imaging.

SA-UNet for face anti-spoofing with depth estimation

Jiwen Dong, Sijie Niu, Xizhan Gao, 2022, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021).

Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts

Sijie Niu, Li Wang, Gang Li, 2021, MLMI@MICCAI.

Deep Learning Approached Features for ASD Classification using SVM

Md Rishad Ahmed, Md Shale Ahammed, Sijie Niu, 2020, 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS).

A Semantic Context Model for Automatic Image Annotation

Dong Wang, Xin Fu, Sijie Niu, 2018, ICIC.

Automated choroid segmentation of three-dimensional SD-OCT images by incorporating EDI-OCT images

Qiang Chen, Sijie Niu, Wen Fan, 2017, Comput. Methods Programs Biomed..

Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography images.

Qiang Chen, Sijie Niu, Songtao Yuan, 2016, Medical physics.

Automated choroid segmentation based on gradual intensity distance in HD-OCT images.

Honglie Shen, Qiang Chen, Sijie Niu, 2015, Optics express.

Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation

Haider Ali, Lavdie Rada, Sijie Niu, 2022, Inverse Problems and Imaging.

MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images

Qiang Chen, Sijie Niu, Xiao Ma, 2020, IEEE Journal of Biomedical and Health Informatics.

Associations of Microvascular Dysfunction with Mild Cognitive Impairment and Cognitive Function Among Rural-Dwelling Older Adults in China.

R. Liu, C. Qiu, Sijie Niu, 2023, Journal of Alzheimer's disease : JAD.

DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network

Jiwen Dong, Md Rishad Ahmed, Md Shale Ahammed, 2021, Frontiers in Neuroinformatics.

应用多尺度三维图搜索的SD-OCT图像层分割方法 (SD-OCT Image Layer Segmentation Using Multi-scale 3-D Graph Search Method)

Honglie Shen, Sijie Niu, Qiang Chen, 2015, 计算机科学.

Hyper-reflective Foci Segmentation in SD-OCT Retinal Images with Diabetic Retinopathy using Deep Convolutional Neural Networks.

Qiang Chen, Sijie Niu, Chenchen Yu, 2019, Medical physics.

AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field

Sijie Niu, Xizhan Gao, Xiaohui Li, 2021, ICONIP.

shallowCNN-LE: A shallow CNN with Laplacian Embedding for face anti-spoofing

Jiwen Dong, Sijie Niu, Xiaofeng Qu, 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring

Yilong Yin, Xiushan Nie, Sijie Niu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Robust Core Tensor Dictionary Learning with Modified Gaussian Mixture Model for Multispectral Image Restoration

Chaoran Cui, Qiang Guo, Sijie Niu, 2020, Computers, Materials & Continua.

A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation

Tingting Liu, Sijie Niu, Xizhan Gao, 2022, IET Computer Vision.

Weakly supervised serous retinal detachment segmentation in SD-OCT images by two-stage learning.

Sijie Niu, Wen Fan, Xizhan Gao, 2021, Biomedical optics express.

Gradient vector flow and watershed transformation combined segmentation algorithm

Yuan Jia, Sijie Niu, Pengcheng Liu, 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).

Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images

Jiwen Dong, Kun Gao, Qiang Chen, 2019, Comput. Methods Programs Biomed..

Joint Metric Learning-Based Class-Specific Representation for Image Set Classification.

Jiwen Dong, Sijie Niu, Dong Wei, 2022, IEEE transactions on neural networks and learning systems.

Automated detection of foveal center in SD‐OCT images using the saliency of retinal thickness maps

Qiang Chen, Luis de Sisternes, Sijie Niu, 2017, Medical physics.

Multimodality analysis of Hyper-reflective Foci and Hard Exudates in Patients with Diabetic Retinopathy

Sijie Niu, Wen Fan, Songtao Yuan, 2017, Scientific Reports.

Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging

Li Wang, Sijie Niu, Yue Sun, 2021, Autism research : official journal of the International Society for Autism Research.

RMPPNet: residual multiple pyramid pooling network for subretinal fluid segmentation in SD-OCT images

Sijie Niu, Wen Fan, Qiang Chen, 2020, OSA Continuum.

Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation

Jiwen Dong, Yuehui Chen, Yue Sun, 2020, IEEE Journal of Biomedical and Health Informatics.

3D Level Set Method via Local Structure Similarity Factor for Automatic Neurosensory Retinal Detachment Segmentation in Retinal SD-OCT Images

Jiwen Dong, Yuehui Chen, Yue Sun, 2019, Communications in Computer and Information Science.

Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment

Qiang Chen, Sijie Niu, Idowu Paul Okuwobi, 2019, IEEE Access.

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).

Hua Lu, Danhua Liu, Tingting Liu, 2019, Biomedical optics express.

Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images

Jiwen Dong, Yuehui Chen, Sijie Niu, 2020, OMIA@MICCAI.

Automated segmentation of intraretinal cystoid macular edema based on Gaussian mixture model

Wen Fan, Sijie Niu, Dengwang Li, 2019, Journal of Innovative Optical Health Sciences.

Fully Automated Prediction of Geographic Atrophy Growth Using Quantitative Spectral-Domain Optical Coherence Tomography Biomarkers.

D. Rubin, Sijie Niu, L. de Sisternes, 2016, Ophthalmology.

Automatic retinal layer segmentation in SD-OCT images with CSC guided by spatial characteristics

Yuehui Chen, Dengwang Li, Sijie Niu, 2019, Multimedia tools and applications.

Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint

Weiwei Zhang, Qiang Chen, Daniel L. Rubin, 2014, Comput. Biol. Medicine.

Iterative registration for multi-modality retinal fundus photographs using directional vessel skeleton

Sijie Niu, Dengwang Li, Pengxiao Zang, 2021, IET Image Process..

MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection

Jiwen Dong, Sijie Niu, Xizhan Gao, 2021, IET Image Process..

Multi-stage framework with difficulty-aware learning for progressive dose prediction

Yan Zhang, Sijie Niu, Yingying Han, 2023, Biomed. Signal Process. Control..

Self-supervised learning with application for infant cerebellum segmentation and analysis

Gang Li, Mingxia Liu, W. Lin, 2023, Nature communications.

Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image

Jiwen Dong, Sijie Niu, Xizhan Gao, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Geographic Atrophy Segmentation for SD-OCT Images by MFO Algorithm and Affinity Diffusion

Qiang Chen, Zexuan Ji, Sijie Niu, 2017, IScIDE.