Tuberculosis bacteria detection based on Random Forest using fluorescent images. - Chi Zheng; Jingxin Liu 005; Guoping Qiu (CISP-BMEI, 2016)

Luminance Adaptive Biomarker Detection in Digital Pathology Images. - Jingxin Liu 005; Guoping Qiu; LinLin Shen (MIUA, 2016)

HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. - Jingxin Liu 005; Bolei Xu; LinLin Shen; Jon Garibaldi; Guoping Qiu (ISBI, 2017)

Learning Based Image Transformation Using Convolutional Neural Networks. - Xianxu Hou; Yuanhao Gong; Bozhi Liu; Ke Sun 006; Jingxin Liu 005; Bolei Xu; Jiang Duan; Guoping Qiu (IEEE Access, 2018)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. - Jingxin Liu 005; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (CoRR, 2018)

Learning Deep Image Priors for Blind Image Denoising. - Xianxu Hou; Hongming Luo; Jingxin Liu 005; Bolei Xu; Ke Sun 006; Yuanhao Gong; Bozhi Liu; Guoping Qiu (CVPR Workshops, 2019)

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. - Yuanhao Gong; Hui Yin; Jingxin Liu 005; Bozhi Liu; Guoping Qiu (ICIP, 2019)

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. - Jingxin Liu 005; Libo Liu; Bolei Xu; Xianxu Hou; Bozhi Liu; Xin Chen 003; Linlin Shen; Guoping Qiu (ISBI, 2019)

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. - Bolei Xu; Jingxin Liu 005; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (ISBI, 2019)

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. - Xianxu Hou; Jingxin Liu 005; Bolei Xu; Bozhi Liu; Xin Chen 003; Mohammad Ilyas; Ian O. Ellis; Jon Garibaldi; Guoping Qiu (MICCAI (2), 2019)

Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. - Bolei Xu; Jingxin Liu 005; Xianxu Hou; Ke Sun 006; Guoping Qiu (IEEE Access, 2019)

Deep reinforcement learning-based patch selection for illuminant estimation. - Bolei Xu; Jingxin Liu 005; Xianxu Hou; Bozhi Liu; Guoping Qiu (Image Vis. Comput., 2019)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. - Jingxin Liu 005; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (IEEE Trans. Medical Imaging, 2019)

End-to-End Illuminant Estimation Based on Deep Metric Learning. - Bolei Xu; Jingxin Liu 005; Xianxu Hou; Bozhi Liu; Guoping Qiu (CVPR, 2020)

Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images. - Jie Shu; Jingxin Liu 005; Yongmei Zhang; Hao Fu 001; Mohammad Ilyas; Giuseppe Faraci; Vincenzo Della Mea; Bozhi Liu; Guoping Qiu (Bioinform., 2020)

Class-aware domain adaptation for improving adversarial robustness. - Xianxu Hou; Jingxin Liu 005; Bolei Xu; Xiaolong Wang; Bozhi Liu; Guoping Qiu (Image Vis. Comput., 2020)

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. - Bolei Xu; Jingxin Liu 005; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (IEEE Trans. Medical Imaging, 2020)

A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. - Yuxuan Wang; Xuechen Li 001; Jingxin Liu 005; Linlin Shen; Kunming Sun; Suying Wang (BIBM, 2021)

Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. - Xi Long; Ying Cheng 008; Xiao Mu; Lian Liu; Jingxin Liu 005 (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations. - Zhe Chen; Zhao Chen; Jingxin Liu 005; Qiang Zheng; Yuang Zhu; Yanfei Zuo; Zhaoyu Wang; Xiaosong Guan; Yue Wang; Yuan Li (IEEE J. Biomed. Health Informatics, 2021)

GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. - Zhijie Wen; Ru Feng; Jingxin Liu 005; Ying Li 028; Shihui Ying (IEEE J. Biomed. Health Informatics, 2021)

End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network. - Ruitao Xie; Jingxin Liu 005; Rui Cao 001; Connor S. Qiu; Jiang Duan; Jon Garibaldi; Guoping Qiu (IEEE Trans. Medical Imaging, 2021)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (CoRR, 2022)

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Feilong Tang; Qiming Huang; Jinfeng Wang 008; Xianxu Hou; Jionglong Su; Jingxin Liu 005 (CoRR, 2022)

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. - Qian Da; Xiaodi Huang; Zhongyu Li 002; Yanfei Zuo; Chenbin Zhang; Jingxin Liu 005; Wen Chen 001; Jiahui Li 005; Dou Xu; Zhiqiang Hu; Hongmei Yi; Yan Guo; et al. (Medical Image Anal., 2022)

Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. - Xi Long; Jingxin Liu 005; Xianxu Hou (ICIP, 2023)

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Feilong Tang; Zhongxing Xu; Qiming Huang; Jinfeng Wang 008; Xianxu Hou; Jionglong Su; Jingxin Liu 005 (PRCV (5), 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (Medical Image Anal., 2023)

Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images. - Xi Long; Tianyang Wang; Yanjia Kan; Yunze Wang; Silin Chen; Albert Zhou; Xianxu Hou; Jingxin Liu 005 (BIBM, 2024)

A Dataset and Model for Realistic License Plate Deblurring. - Haoyan Gong; Yuzheng Feng; Zhenrong Zhang; Xianxu Hou; Jingxin Liu 005; Siqi Huang; Hongbin Liu 007 (IJCAI, 2024)

SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. - Leilei Zeng; Xuechen Li 001; Xinquan Yang; Wenting Chen; Jingxin Liu 005; Linlin Shen; Song Wu (Expert Syst. Appl., 2024)

On the Federated Learning Framework for Cooperative Perception. - Zhenrong Zhang; Jianan Liu; Xi Zhou; Tao Huang 008; Qing-Long Han; Jingxin Liu 005; Hongbin Liu 007 (IEEE Robotics Autom. Lett., 2024)