Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays. - Jun Xu 005; Daoying Pi; Yong-Yan Cao (ISNN (1), 2006)

On Stability of Neural Networks by a Lyapunov Functional-Based Approach. - Jun Xu 005; Daoying Pi; Yong-Yan Cao; Shouming Zhong (IEEE Trans. Circuits Syst. I Regul. Pap., 2007)

An estimation of the domain of attraction for recurrent neural networks with time-varying delays. - Jun Xu 005; Yong-Yan Cao; Daoying Pi; Youxian Sun (Neurocomputing, 2008)

Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. - Jun Xu 005; Yong-Yan Cao; Youxian Sun; Jinshan Tang (IEEE Trans. Neural Networks, 2008)

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. - Shannon Agner; Jun Xu 005; Hussain Fatakdawala; Shridar Ganesan; Anant Madabhushi; Sarah Englander; Mark Rosen; Kathleen Thomas; Mitchell D. Schnall; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2009)

Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. - Ajay Basavanhally; Jun Xu 005; Shridar Ganesan; Anant Madabhushi (ISBI, 2009)

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. - Jinshan Tang; Rangaraj M. Rangayyan; Jun Xu 005; Issam El-Naqa; Yongyi Yang (IEEE Trans. Inf. Technol. Biomed., 2009)

Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. - Jun Xu 005; James Monaco; Anant Madabhushi (MICCAI (3), 2010)

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. - Jun Xu 005; Rachel Sparks; Andrew Janowczyk; John Tomaszewski 001; Michael D. Feldman; Anant Madabhushi (Prostate Cancer Imaging, 2010)

A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. - Jun Xu 005; Andrew Janowczyk; Sharat Chandran; Anant Madabhushi (Image Processing, 2010)

Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. - Hussain Fatakdawala; Jun Xu 005; Ajay Basavanhally; Gyan Bhanot; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI. - Shannon Agner; Jun Xu 005; Mark Rosen; Sudha Karthigeyan; Sarah Englander; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. - Ajay Basavanhally; Elaine Yu; Jun Xu 005; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

A high-throughput active contour scheme for segmentation of histopathological imagery. - Jun Xu 005; Andrew Janowczyk; Sharat Chandran; Anant Madabhushi (Medical Image Anal., 2011)

Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology. - Jun Xu 005; Lei Xiang; Renlong Hang; Jianzhong Wu (ISBI, 2014)

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. - Jun Xu 005; Lei Xiang; Guanhao Wang; Shridar Ganesan; Michael D. Feldman; Natalie N. C. Shih; Hannah Gilmore; Anant Madabhushi (Comput. Medical Imaging Graph., 2015)

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. - Jun Xu 005; Xiaofei Luo; Guanhao Wang; Hannah Gilmore; Anant Madabhushi (Neurocomputing, 2016)

Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis. - Xiaofan Zhang 002; Hang Dou; Tao Ju; Jun Xu 005; Shaoting Zhang 001 (IEEE J. Biomed. Health Informatics, 2016)

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. - Jun Xu 005; Lei Xiang; Qingshan Liu 001; Hannah Gilmore; Jianzhong Wu; Jinghai Tang; Anant Madabhushi (IEEE Trans. Medical Imaging, 2016)

Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. - Jun Xu 005; Chao Zhou; Bing Lang; Qingshan Liu 001 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. - Jun Xu 005; Chengfei Cai; Yangshu Zhou; Bo Yao; Geyang Xu; Xiangxue Wang; Ke Zhao; Anant Madabhushi; Zaiyi Liu; Li Liang (ECDP, 2019)

Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule. - Jun Xu 005; Haoda Lu; Haixin Li; Xiangxue Wang; Anant Madabhushi; Yujun Xu (ECDP, 2019)

Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic. - Sergei Shinkariov; Boris Zingerman; Irina Kargalskaya; Arkadii Nozik; Inna Fistul; Lev Evelson; Alexandra Kremenetskaya; Le Sun 003; Jun Xu 005; Olga Kremenetskaya; Nikita E. Shklovskiy-Kordi (HIS, 2020)

A DNN for Arrhythmia Prediction Based on ECG. - Yilin Wang 003; Le Sun 003; Hua Wang 002; Nikita E. Shklovskiy-Kordi; Jun Xu 005; Yongping Lu; Kouzhen Yuan (HIS, 2020)

Prior-Aware CNN with Multi-Task Learning for Colon Images Analysis. - Chaoyang Yan; Jun Xu 005; Jiawei Xie; Chengfei Cai; Haoda Lu (ISBI, 2020)

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. - Sara ArabYarmohammadi; Zelin Zhang; Patrick Leo; Marjan Firouznia; Andrew Janowczyk; Haojia Li; Nathaniel M. Braman; Kaustav Bera; Behtash G. Nezami; Howard Meyerson; Jun Xu 005; Leland Metheny; et al. (Digital Pathology, 2020)

Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. - Chaoyang Yan; Kazuaki Nakane; Xiangxue Wang; Yao Fu; Haoda Lu; Xiangshan Fan; Michael D. Feldman; Anant Madabhushi; Jun Xu 005 (Comput. Methods Programs Biomed., 2020)

Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data. - Xiangping Xu; Jun Li 011; MengChu Zhou; Jun Xu 005; Jinde Cao (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images. - Daqiu Li; Zhangjie Fu; Jun Xu 005 (Appl. Intell., 2021)

Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. - Jun Xu 005; Haoda Lu; Haixin Li; Chaoyang Yan; Xiangxue Wang; Min Zang; Dirk G. de Rooij; Anant Madabhushi; Eugene Yujun Xu (Medical Image Anal., 2021)

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. - Haoran Dou; Luyi Han; Yushuang He; Jun Xu 005; Nishant Ravikumar; Ritse Mann; Alejandro F. Frangi; Pew-Thian Yap; Yunzhi Huang (MICCAI (4), 2022)

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. - Jiawei Xie; Xiaohong Pu; Jian He; Yudong Qiu; Cheng Lu 001; Wei Gao 003; Xiangxue Wang; Haoda Lu; Jiong Shi; Yuemei Xu; Anant Madabhushi; Xiangshan Fan; et al. (Comput. Biol. Medicine, 2022)

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. - Chu Han; Xipeng Pan; Lixu Yan; Huan Lin; Bingbing Li; Su Yao; Shanshan Lv; Zhenwei Shi; Jinhai Mai; Jiatai Lin; Bingchao Zhao; Zeyan Xu; et al. (CoRR, 2022)

A novel pipeline for computerized mouse spermatogenesis staging. - Haoda Lu; Min Zang; Gabriel Pik Liang Marini; Xiangxue Wang; Yiping Jiao; Nianfei Ao; Kok Haur Ong; Xinmi Huo; Longjie Li 004; Eugene Yujun Xu; Wilson Wen Bin Goh; Weimiao Yu; et al. (Bioinform., 2022)

Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features. - 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; et al. (CAAI Trans. Intell. Technol., 2023)

SeqFRT: Towards Effective Adaption of Foundation Model via Sequence Feature Reconstruction in Computational Pathology. - Chengfei Cai; Jun Li 011; Mingxin Liu; Yiping Jiao; Jun Xu 005 (BIBM, 2024)

Pathological Primitive Segmentation based on Visual Foundation Model with Zero-Shot Mask Generation. - Abu Bakor Hayat Arnob; Xiangxue Wang; Yiping Jiao; Xiao Gan; Wenlong Ming; Jun Xu 005 (ISBI, 2024)

Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method. - Chengfei Cai; Qianyun Shi; Jun Li 011; Yiping Jiao; Andi Xu; Yangshu Zhou; Xiangxue Wang; Chunyan Peng; Xiaoqi Zhang; Xiaobin Cui; Jun Chen 005; Jun Xu 005; et al. (Int. J. Medical Informatics, 2024)

Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning. - Zelin Zhang; Sara ArabYarmohammadi; Patrick Leo; Howard Meyerson; Leland Metheny; Jun Xu 005; Anant Madabhushi (Comput. Methods Programs Biomed., 2024)

SC-AGR: Spatially-Constrained Attention for Context-Aware Graph Representation in Histopathology Whole Slide Image Analysis. - Chengfei Cai; Jiahao Chen; Mingxin Liu; Jun Li 011; Jun Xu 005 (ICIC (25), 2025)

Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation. - Xiangxue Wang; Jingkai Zhang; Yuemei Xu; Yang Huang; Wenlong Ming; Yiping Jiao; Bicheng Liu; Xiangshan Fan; Jun Xu 005 (Comput. Biol. Medicine, 2025)

IBDAIM:Artificial intelligence for analyzing intestinal biopsies pathological images for assisted integrated diagnostic of inflammatory bowel disease. - Chengfei Cai; Qianyun Shi; Mingxin Liu; Jun Li 011; Yangshu Zhou; Andi Xu; Dan Zhang; Yiping Jiao; Yao Liu; Xiaobin Cui; Jun Chen 005; Jun Xu 005; et al. (Int. J. Medical Informatics, 2025)

Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach. - Yuan Li 041; Chenxi Huang 002; Bowen Zheng; Zhiyuan Zheng; Hongying Tang; Shenghong Ju; Jun Xu 005; Yuemei Luo (Knowl. Based Syst., 2025)