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ORCIDJingxin Liu 0005
Person information
- affiliation: Xi'an Jiaotong-Liverpool University (XJTLU), School of AI and Advanced Computing, Suzhou, China
- affiliation (PhD 2018): University of Nottingham, UK
Other persons with the same name
- Jingxin Liu (aka: Jing-Xin Liu) — disambiguation page
- Jingxin Liu 0001
![[0000-0002-6665-976X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6665-976X")
— Jilin University, China-Japan Union Hospital, Department of Radiology, Changchun, China - Jingxin Liu 0002 — Liaoning University, College of Information, Shenyang, China
- Jingxin Liu 0003 — Kuaishou Technology, Beijing, China
- Jingxin Liu 0004 — Chongqing University of Science and Technology,
- Jingxin Liu 0006 — Hainan University, School of Computer Science and Technology, Haikou, China
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2020 – today
- 2025
[c21]Tianyang Wang, Xiaofei Nan, Yunze Wang, Yuhang Yan, Zhenkai Gao, Jingxin Liu:
Enhanced Corneal Endothelial Cell Segmentation via Frequency-Selected Residual Fourier Diffusion Models. ICASSP 2025: 1-5- [c20]Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, Jingxin Liu:
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement. ISBI 2025: 1-5 - [c19]Jiahao Wang, Yingxue Su, Keying Zhu, Michelle Avery Basarah, Yiheng Zhong, Yangchuan Liu, Yuxuan Zhao, Angelos Stefanidis, Jingxin Liu:
Salience-Enhanced Network for Metal Artifact Reduction in CT Imaging. ISBI 2025: 1-5 - [i12]Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, Jingxin Liu:
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement. CoRR abs/2503.18567 (2025) - [i11]Ruochen Liu, Yi Tian, Jiahao Wang, Hongbin Liu, Xianxu Hou, Jingxin Liu:
CellMamba: Adaptive Mamba for Accurate and Efficient Cell Detection. CoRR abs/2512.21803 (2025) - 2024
- [j15]Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [j14]Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu:
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. Expert Syst. Appl. 252: 124070 (2024) - [j13]Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu:
On the Federated Learning Framework for Cooperative Perception. IEEE Robotics Autom. Lett. 9(11): 9423-9430 (2024) - [c18]Xi Long, Tianyang Wang, Yanjia Kan, Yunze Wang, Silin Chen, Albert Zhou, Xianxu Hou, Jingxin Liu:
Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images. BIBM 2024: 3555-3560 - [c17]Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu:
A Dataset and Model for Realistic License Plate Deblurring. IJCAI 2024: 776-784 - [c16]Yunze Wang, Angelos Stefanidis, Jingxin Liu:
Multi-Stage Transformer Fusion for Efficient Intracranial Hemorrhage Subtype Classification. ISBI 2024: 1-5 - [c15]Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang:
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring. MICCAI (4) 2024: 3-13 - [c14]Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang:
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model. MICCAI (3) 2024: 67-76 - [i10]Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu:
A Dataset and Model for Realistic License Plate Deblurring. CoRR abs/2404.13677 (2024) - [i9]Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu:
On the Federated Learning Framework for Cooperative Perception. CoRR abs/2404.17147 (2024) - 2023
- [j12]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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [c13]Xi Long, Jingxin Liu, Xianxu Hou:
Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. ICIP 2023: 1805-1809 - [c12]Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. PRCV (5) 2023: 343-356 - 2022
- [j11]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:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [i8]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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i7]Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. CoRR abs/2212.11677 (2022) - 2021
- [j10]Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying:
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. IEEE J. Biomed. Health Informatics 25(4): 1185-1196 (2021) - [j9]Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li:
Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations. IEEE J. Biomed. Health Informatics 25(5): 1673-1685 (2021) - [j8]Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu:
End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network. IEEE Trans. Medical Imaging 40(1): 116-128 (2021) - [c11]Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang:
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. BIBM 2021: 2072-2079 - [c10]Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu:
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 73-76 - [i6]Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu:
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. CoRR abs/2109.00965 (2021) - 2020
- [j7]Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, Guoping Qiu:
Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images. Bioinform. 36(10): 3225-3233 (2020) - [j6]Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu:
Class-aware domain adaptation for improving adversarial robustness. Image Vis. Comput. 99: 103926 (2020) - [j5]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. IEEE Trans. Medical Imaging 39(6): 1930-1941 (2020) - [c9]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
End-to-End Illuminant Estimation Based on Deep Metric Learning. CVPR 2020: 3613-3622 - [i5]Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu:
Class-Aware Domain Adaptation for Improving Adversarial Robustness. CoRR abs/2005.04564 (2020)
2010 – 2019
- 2019
- [j4]Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu:
Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. IEEE Access 7: 21623-21634 (2019) - [j3]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
Deep reinforcement learning-based patch selection for illuminant estimation. Image Vis. Comput. 91 (2019) - [j2]Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu:
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Trans. Medical Imaging 38(2): 617-628 (2019) - [c8]Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. CVPR Workshops 2019: 1738-1747 - [c7]Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu:
Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. ICIP 2019: 3576-3580 - [c6]Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu:
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. ISBI 2019: 28-31 - [c5]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. ISBI 2019: 914-918 - [c4]Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. MICCAI (2) 2019: 101-109 - [i4]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. CoRR abs/1902.10946 (2019) - [i3]Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. CoRR abs/1906.01259 (2019) - [i2]Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. CoRR abs/1909.11524 (2019) - 2018
- [j1]Xianxu Hou, Yuanhao Gong, Bozhi Liu, Ke Sun, Jingxin Liu, Bolei Xu, Jiang Duan, Guoping Qiu:
Learning Based Image Transformation Using Convolutional Neural Networks. IEEE Access 6: 49779-49792 (2018) - [i1]Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu:
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. CoRR abs/1801.06288 (2018) - 2017
- [c3]Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu:
HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. ISBI 2017: 1019-1023 - 2016
- [c2]Chi Zheng, Jingxin Liu, Guoping Qiu:
Tuberculosis bacteria detection based on Random Forest using fluorescent images. CISP-BMEI 2016: 553-558 - [c1]Jingxin Liu, Guoping Qiu, LinLin Shen:
Luminance Adaptive Biomarker Detection in Digital Pathology Images. MIUA 2016: 113-118
Coauthor Index
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