Jun Xu
Jun Xu
Professor, Nanjing University of Information Science & Technology, China
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
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
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
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
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, 305-319, 2011
Accelerated two-stage particle swarm optimization for clustering not-well-separated data
X Xu, J Li, MC Zhou, J Xu, J Cao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4212-4223, 2018
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
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 prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study.
C Lu, K Bera, X Wang, P Prasanna, J Xu, A Janowczyk, N Beig, M Yang, ...
The Lancet. Digital health 2 (11), e594-e606, 2020
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, 325-336, 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
Predicting microvascular invasion in hepatocellular carcinoma using CT-based radiomics model
T Xia, Z Zhou, X Meng, J Zha, Q Yu, W Wang, Y Song, Y Wang, T Tang, ...
Radiology 307 (4), e222729, 2023
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
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
Multi-pass adaptive voting for nuclei detection in histopathological images
C Lu, H Xu, J Xu, H Gilmore, M Mandal, A Madabhushi
Scientific reports 6 (1), 33985, 2016
CT-radiomic approach to predict G1/2 nonfunctional pancreatic neuroendocrine tumor
Z Zhao, Y Bian, H Jiang, X Fang, J Li, K Cao, C Ma, L Wang, J Zheng, ...
Academic Radiology 27 (12), e272-e281, 2020
Noncontrast radiomics approach for predicting grades of nonfunctional pancreatic neuroendocrine tumors
Y Bian, Z Zhao, H Jiang, X Fang, J Li, K Cao, C Ma, S Guo, L Wang, G Jin, ...
Journal of Magnetic Resonance Imaging 52 (4), 1124-1136, 2020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20