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ORCIDJun 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
![[0000-0001-7170-111X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7170-111X")
— 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 — Tsinghua University, Department of Automation, Beijing, China
- 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 (aka: Jun Xu 0014) — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Jun Xu 0015 — Western Digital Corp, Singapore (and 1 more)
- Jun Xu 0016 — Jinan University, Institute of Industrial Economics, Guangzhou, China
- Jun Xu 0017 — Sun Yat-Sen University, Research Center for Drug Discovery, Guangzhou, China
- Jun Xu 0018 — Xi'an Jiaotong University, School of Mechanical Engineering, China (and 1 more)
- Jun Xu 0019 — Nankai University, College of Computer Science, TKLNDST, Tianjin, China (and 1 more)
- Jun Xu 0020 — Institute of Geographical Science and Natural Resources Research, Beijing, China (and 1 more)
- Jun Xu 0021 — Wuhan University, Electronic Information School, China (and 1 more)
- Jun Xu 0022 — Chinese Academy of Sciences, Institute of Information Engineering, State Key State Laboratory of Information Security, Beijing, China (and 1 more)
- Jun Xu 0023 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Jun Xu 0024 — Stevens Institute of Technology, Hoboken, NJ, USA (and 1 more)
- Jun Xu 0025 — University of Central Florida, Department of Computer Science, Orlando, FL, USA
- 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 — Yunnan University, School of Information Science and Engineering, Kunming, China
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Journal Articles
- 2024
[j18]Zelin Zhang, Sara ArabYarmohammadi, Patrick Leo, Howard Meyerson, Leland Metheny, Jun Xu, Anant Madabhushi:
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, Min Zang, Gabriel Pik Liang Marini, Xiangxue Wang, Yiping Jiao, Nianfei Ao, Kok Haur Ong, Xinmi Huo, Longjie Li, Eugene Yujun Xu, Wilson Wen Bin Goh, Weimiao Yu, Jun Xu:
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, Wei Gao, Xiangxue Wang, Haoda Lu, Jiong Shi, Yuemei Xu, Anant Madabhushi, Xiangshan Fan, Jun Chen, Jun Xu:
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Comput. Biol. Medicine 146: 105520 (2022) - 2021
- [j14]Daqiu Li, Zhangjie Fu, Jun Xu:
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, Xiangxue Wang, Min Zang, Dirk G. de Rooij, Anant Madabhushi, Eugene Yujun Xu:
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. Medical Image Anal. 70: 101835 (2021) - 2020
- [j12]Chaoyang Yan, Kazuaki Nakane, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu:
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. 194: 105528 (2020) - [j11]Xiangping Xu, Jun Li, MengChu Zhou, Jun Xu, Jinde Cao:
Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4212-4223 (2020) - 2016
- [j10]Jun Xu, Xiaofei Luo, Guanhao Wang, Hannah Gilmore, Anant Madabhushi:
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, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi:
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Comput. Medical Imaging Graph. 46: 20-29 (2015) - 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) - 2010
- [j5]Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
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) - 2009
- [j4]Jinshan Tang, Rangaraj M. Rangayyan, Jun Xu, Issam El-Naqa, Yongyi Yang:
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Trans. Inf. Technol. Biomed. 13(2): 236-251 (2009) - 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)
Conference and Workshop Papers
- 2020
- [c16]Sergei Shinkariov, Boris Zingerman, Irina Kargalskaya, Arkadii Nozik, Inna Fistul, Lev Evelson, Alexandra Kremenetskaya, Le Sun, Jun Xu, Olga Kremenetskaya, Nikita E. Shklovskiy-Kordi:
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, Jun Xu, Jiawei Xie, Chengfei Cai, Haoda Lu:
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. Medical Imaging: Digital Pathology 2020: 1132004 - 2019
- [c12]Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang:
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 - 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
- [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. Medical Imaging: Computer-Aided Diagnosis 2011: 796305 - [c8]Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Medical Imaging: Computer-Aided Diagnosis 2011: 796310 - 2010
- [c7]Jun Xu, Rachel Sparks, Andrew Janowczyk, John E. Tomaszewski, Michael D. Feldman, Anant Madabhushi:
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. Medical Imaging: Image Processing 2010: 76230Y - 2009
- [c4]Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi:
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, Jun Xu, Shridar Ganesan, Anant Madabhushi:
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, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski:
Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI 2009: 1227-1230 - 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
Parts in Books or Collections
- 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
Informal and Other Publications
- 2022
- [i1]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022)
Coauthor Index
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last updated on 2024-04-16 20:32 CEST by the dblp team
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