Jun Xu
Jun Xu
Professor, Nanjing University of Information Science & Technology, China
Verified email at case.edu - Homepage
Cited by
Cited by
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
J Tang, RM Rangayyan, J Xu, I El Naqa, Y Yang
IEEE transactions on information technology in biomedicine 13 (2), 236-251, 2009
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images
J Xu, L Xiang, Q Liu, H Gilmore, J Wu, J Tang, A Madabhushi
IEEE Transactions on Medical Imaging 35 (1), 119-130, 2016
A Deep Convolutional Neural Network for Segmenting and Classifying Epithelial and Stromal Regions in Histopathological Images
J Xu, X Luo, G Wang, H Gilmore, A Madabhushi
Neurocomputing, 2016
Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology
H Fatakdawala, J Xu, A Basavanhally, G Bhanot, S Ganesan, M Feldman, ...
IEEE Transactions on Biomedical Engineering 57 (7), 1676-1689, 2010
Stacked Sparse Autoencoder (SSAE) based Framework for Nuclei Patch Classification on Breast Cancer Histopathology
J Xu, L Xiang, R Hang, J Wu
2014 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2014
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods
A Basavanhally, E Yu, J Xu, S Ganesan, M Feldman, J Tomaszewski, ...
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 796310, 2011
Fusing heterogeneous features from stacked sparse autoencoder for histopathological image analysis
X Zhang, H Dou, T Ju, J Xu, S Zhang
IEEE journal of biomedical and health informatics 20 (5), 1377-1383, 2015
A high-throughput active contour scheme for segmentation of histopathological imagery
J Xu, A Janowczyk, S Chandran, A Madabhushi
Medical image analysis 15 (6), 851-862, 2011
Sparse Non-negative Matrix Factorization (SNMF) based Color Unmixing for Breast Histopathological Image Analysis
J Xu, L Xiang, G Wang, S Ganesan, M Feldman, N NC Shih, H Gilmore, ...
Computerized Medical Imaging and Graphics 46, 20-29, 2015
A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation
J Xu, A Janowczyk, S Chandran, A Madabhushi
Medical Imaging 2010: Image Processing 7623, 76230Y, 2010
Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with oncotype DX assay
A Basavanhally, J Xu, A Madabhushi, S Ganesan
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation
J Xu, JP Monaco, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2010
Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
JM Chen, Y Li, J Xu, L Gong, LW Wang, WL Liu, J Liu
Tumor Biology 39 (3), 1010428317694550, 2017
Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging
SC Agner, J Xu, A Madabhushi
Medical physics 40 (3), 032305, 2013
Absolute exponential stability of recurrent neural networks with generalized activation function
J Xu, YY Cao, Y Sun, J Tang
IEEE transactions on neural networks 19 (6), 1075-1089, 2008
On stability of neural networks by a Lyapunov functional-based approach
J Xu, D Pi, YY Cao, S Zhong
IEEE Transactions on Circuits and Systems I: Regular Papers 54 (4), 912-924, 2007
Patch-based active learning (PTAL) for spectral-spatial classification on hyperspectral data
J Xu, R Hang, Q Liu
International journal of remote sensing 35 (5), 1846-1875, 2014
Segmentation and classification of triple negative breast cancers using DCE-MRI
SC Agner, J Xu, H Fatakdawala, S Ganesan, A Madabhushi, S Englander, ...
2009 IEEE international symposium on biomedical imaging: From nano to macro …, 2009
High-throughput prostate cancer gland detection, segmentation, and classification from digitized needle core biopsies
J Xu, R Sparks, A Janowczyk, JE Tomaszewski, MD Feldman, ...
International Workshop on Prostate Cancer Imaging, 77-88, 2010
Deep learning for histopathological image analysis: towards computerized diagnosis on cancers
J Xu, C Zhou, B Lang, Q Liu
Deep Learning and Convolutional Neural Networks for Medical Image Computing …, 2017
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