Jun Xu
Orcid: 0000-0001-5315-8811Affiliations:
- Nanjing University of Information Science & Technology, China
- Rutgers State University, NJ, USA (former)
According to our database1,
Jun Xu
authored at least 36 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach.
Knowl. Based Syst., 2025
2024
Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning.
Comput. Methods Programs Biomed., January, 2024
2023
Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features.
CAAI Trans. Intell. Technol., September, 2023
2022
Bioinform., November, 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images.
Comput. Biol. Medicine, 2022
2021
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis.
Medical Image Anal., 2021
Appl. Intell., 2021
2020
Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
Comput. Methods Programs Biomed., 2020
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Health Information Science - 9th International Conference, 2020
Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic.
Proceedings of the Health Information Science - 9th International Conference, 2020
2019
Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule.
Proceedings of the Digital Pathology - 15th European Congress, 2019
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.
Proceedings of the Digital Pathology - 15th European Congress, 2019
2017
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
2016
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Medical Imaging, 2016
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.
IEEE J. Biomed. Health Informatics, 2016
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
Neurocomputing, 2016
2015
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comput. Medical Imaging Graph., 2015
2014
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2011
A high-throughput active contour scheme for segmentation of histopathological imagery.
Medical Image Anal., 2011
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances.
IEEE Trans. Inf. Technol. Biomed., 2009
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function.
IEEE Trans. Neural Networks, 2008
An estimation of the domain of attraction for recurrent neural networks with time-varying delays.
Neurocomputing, 2008
2007
IEEE Trans. Circuits Syst. I Regul. Pap., 2007
2006
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006