Jingxin Liu

According to our database, Jingxin Liu authored at least 32 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Federated Learning Framework for Cooperative Perception.

Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu

IEEE Robotics Autom. Lett., November, 2024

SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation.

Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu

Expert Syst. Appl., 2024

A Dataset and Model for Realistic License Plate Deblurring.

Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger

Medical Image Anal., 2023

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.

Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints.

Xi Long, Jingxin Liu, Xianxu Hou

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang

Medical Image Anal., 2022

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.

Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu

CoRR, 2022

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, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger

CoRR, 2022

2021

End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network.

Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu

IEEE Trans. Medical Imaging, 2021

GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation.

Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying

IEEE J. Biomed. Health Informatics, 2021

Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations.

Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li

IEEE J. Biomed. Health Informatics, 2021

Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge.

Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation.

Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu

IEEE Trans. Medical Imaging, 2020

Class-aware domain adaptation for improving adversarial robustness.

Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu

Image Vis. Comput., 2020

Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images.

Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, Guoping Qiu

Bioinform., 2020

End-to-End Illuminant Estimation Based on Deep Metric Learning.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

Jingxin Liu, 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

Deep reinforcement learning-based patch selection for illuminant estimation.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu

Image Vis. Comput., 2019

Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets.

Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu

IEEE Access, 2019

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.

Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network.

Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior.

Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Deep Image Priors for Blind Image Denoising.

Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.

Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu

CoRR, 2018

Learning Based Image Transformation Using Convolutional Neural Networks.

Xianxu Hou, Yuanhao Gong, Bozhi Liu, Ke Sun, Jingxin Liu, Bolei Xu, Jiang Duan, Guoping Qiu

IEEE Access, 2018

2017

HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network.

Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Luminance Adaptive Biomarker Detection in Digital Pathology Images.

Jingxin Liu, Guoping Qiu, LinLin Shen

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Tuberculosis bacteria detection based on Random Forest using fluorescent images.

Chi Zheng, Jingxin Liu, Guoping Qiu

Proceedings of the 9th International Congress on Image and Signal Processing, 2016