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Jun Xu 0005
Person information
- affiliation: Nanjing University of Information Science & Technology, China
- affiliation (former): Rutgers State University, NJ, USA
Other persons with the same name
- Jun Xu — disambiguation page
- Jun Xu 0001
— Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, China (and 4 more)
- Jun Erik Xu (aka: Jun Xu 0002) — Hughes Network Systems, Germantown, MD, USA (and 1 more)
- Jun Xu 0003 — Google Inc., Mountain View, CA, USA (and 2 more)
- Jun Xu 0004 — Marvell Semiconductor (and 1 more)
- Jun Xu 0006 — Southern Cross University, Gold Coast, NSW, Australia
- Jun Xu 0007 — University of Texas Health Science Center, Houston, TX, USA (and 1 more)
- Jun Xu 0008
- Jun Xu 0009 — New Jersey Institute of Technology, Newark, NJ, USA
- Jun Xu 0010 — Tsinghua University, Department of Computing Science & Technology, Beijing, China
- Jun Xu 0011 — Fudan University, The State Key Lab of ASIC & System, China
- Jun Xu 0012 — Fudan University, Department of Computer Science, China
- Jun Xu 0013 — Nanjing University, Institute of VLSI Design, China
- Jun (Jim) Xu
- Jun Xu 0015
- Jun Xu 0016
- Jun Xu 0017
- Jun Xu 0018
- Jun Xu 0019
- Jun Xu 0020
- Jun Xu 0021
- Jun Xu 0022
- Jun Xu 0023
- Jun Xu 0024
- Jun Xu 0025
- Jun Xu 0026 — Shanghai University of Electric Power, College of Automation Engineering (and 1 more)
- Jun Xu 0027 — Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- Jun Xu 0028
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2020 – today
- 2024
- [j18]Zelin Zhang
Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning. Comput. Methods Programs Biomed. 243: 107852 (2024) - 2023
- [j17]Zhan Wang, Haoda Lu, Yan Wu, Shihong Ren, Diarra Mohamed Diaty, Yanbiao Fu, Yi Zou, Lingling Zhang, Zenan Wang, Fangqian Wang, Shu Li, Xinmi Huo, Weimiao Yu, Jun Xu, Zhaoming Ye
Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features. CAAI Trans. Intell. Technol. 8(3): 836-848 (2023) - 2022
- [j16]Haoda Lu
A novel pipeline for computerized mouse spermatogenesis staging. Bioinform. 38(23): 5307-5314 (2022) - [j15]Jiawei Xie, Xiaohong Pu, Jian He, Yudong Qiu, Cheng Lu
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Comput. Biol. Medicine 146: 105520 (2022) - [i1]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - 2021
- [j14]Daqiu Li
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images. Appl. Intell. 51(5): 2805-2817 (2021) - [j13]Jun Xu, Haoda Lu, Haixin Li, Chaoyang Yan
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. Medical Image Anal. 70: 101835 (2021) - 2020
- [j12]Chaoyang Yan
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. 194: 105528 (2020) - [j11]Xiangping Xu
Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4212-4223 (2020) - [c16]Sergei Shinkariov, Boris Zingerman
Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic. HIS 2020: 103-110 - [c15]Yilin Wang, Le Sun, Hua Wang, Nikita E. Shklovskiy-Kordi, Jun Xu, Yongping Lu, Kouzhen Yuan:
A DNN for Arrhythmia Prediction Based on ECG. HIS 2020: 146-153 - [c14]Chaoyang Yan
Prior-Aware CNN with Multi-Task Learning for Colon Images Analysis. ISBI 2020: 254-257 - [c13]Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi:
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. Digital Pathology 2020: 1132004
2010 – 2019
- 2019
- [c12]Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. ECDP 2019: 100-108 - [c11]Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu:
Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule. ECDP 2019: 117-124 - 2017
- [p1]Jun Xu, Chao Zhou, Bing Lang, Qingshan Liu:
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 73-95 - 2016
- [j10]Jun Xu
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Neurocomputing 191: 214-223 (2016) - [j9]Xiaofan Zhang, Hang Dou, Tao Ju, Jun Xu, Shaoting Zhang
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis. IEEE J. Biomed. Health Informatics 20(5): 1377-1383 (2016) - [j8]Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Medical Imaging 35(1): 119-130 (2016) - 2015
- [j7]Jun Xu
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Comput. Medical Imaging Graph. 46: 20-29 (2015) - 2014
- [c10]Jun Xu, Lei Xiang, Renlong Hang, Jianzhong Wu:
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology. ISBI 2014: 999-1002 - 2011
- [j6]Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Anal. 15(6): 851-862 (2011) - [c9]Shannon Agner, Jun Xu, Mark Rosen, Sudha Karthigeyan, Sarah Englander, Anant Madabhushi
Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI. Computer-Aided Diagnosis 2011: 796305 - [c8]Ajay Basavanhally
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Computer-Aided Diagnosis 2011: 796310 - 2010
- [j5]Hussain Fatakdawala, Jun Xu, Ajay Basavanhally
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57(7): 1676-1689 (2010) - [c7]Jun Xu, Rachel Sparks
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging 2010: 77-88 - [c6]Jun Xu, James Monaco, Anant Madabhushi
Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. MICCAI (3) 2010: 197-204 - [c5]Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. Image Processing 2010: 76230Y
2000 – 2009
- 2009
- [j4]Jinshan Tang
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Trans. Inf. Technol. Biomed. 13(2): 236-251 (2009) - [c4]Hussain Fatakdawala, Ajay Basavanhally
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE 2009: 69-76 - [c3]Ajay Basavanhally
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. ISBI 2009: 851-854 - [c2]Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi
Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI 2009: 1227-1230 - 2008
- [j3]Jun Xu, Yong-Yan Cao, Daoying Pi, Youxian Sun:
An estimation of the domain of attraction for recurrent neural networks with time-varying delays. Neurocomputing 71(7-9): 1566-1577 (2008) - [j2]Jun Xu, Yong-Yan Cao, Youxian Sun, Jinshan Tang
Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. IEEE Trans. Neural Networks 19(6): 1075-1089 (2008) - 2007
- [j1]Jun Xu, Daoying Pi, Yong-Yan Cao, Shouming Zhong:
On Stability of Neural Networks by a Lyapunov Functional-Based Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(4): 912-924 (2007) - 2006
- [c1]Jun Xu, Daoying Pi, Yong-Yan Cao:
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays. ISNN (1) 2006: 179-184
Coauthor Index
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