Jingxin Liu

50 papers A* 2B 2Misc 1Journal 28Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge.
CoRR
Biwen Meng, Xi Long, Jingxin Liu
2025 — conf
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement.
ISBI
Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, Jingxin Liu
2025 J jnl
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement.
CoRR
Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, Jingxin Liu
2025 J jnl
CellMamba: Adaptive Mamba for Accurate and Efficient Cell Detection.
CoRR
Ruochen Liu, Yi Tian, Jiahao Wang, Hongbin Liu, Xianxu Hou, Jingxin Liu
2025 Misc conf
Enhanced Corneal Endothelial Cell Segmentation via Frequency-Selected Residual Fourier Diffusion Models.
ICASSP
Tianyang Wang, Xiaofei Nan, Yunze Wang, Yuhang Yan, Zhenkai Gao, Jingxin Liu
2025 — conf
PathVLG: A Vision-Language Framework for Domain Generalization in Cross-Organ Adenocarcinoma Segmentation.
BIBM
Biwen Meng, Wanrong Yang, Xi Long, Yuyao Wang, Kang Dang, Yalin Zheng, Jingxin Liu
2025 — conf
Salience-Enhanced Network for Metal Artifact Reduction in CT Imaging.
ISBI
Jiahao Wang, Yingxue Su, Keying Zhu, Michelle Avery Basarah, Yiheng Zhong, Yangchuan Liu, Yuxuan Zhao, Angelos Stefanidis, Jingxin Liu
2024 A* conf
A Dataset and Model for Realistic License Plate Deblurring.
IJCAI
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu
2024 J jnl
A Dataset and Model for Realistic License Plate Deblurring.
CoRR
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu
2024 — conf
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring.
MICCAI (4)
Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang
2024 — conf
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model.
MICCAI (3)
Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang
2024 — conf
Multi-Stage Transformer Fusion for Efficient Intracranial Hemorrhage Subtype Classification.
ISBI
Yunze Wang, Angelos Stefanidis, Jingxin Liu
2024 J jnl
On the Federated Learning Framework for Cooperative Perception.
CoRR
Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu
2024 J jnl
On the Federated Learning Framework for Cooperative Perception.
IEEE Robotics Autom. Lett.
Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu
2024 — conf
Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images.
BIBM
Xi Long, Tianyang Wang, Yanjia Kan, Yunze Wang, Silin Chen, Albert Zhou, Xianxu Hou, Jingxin Liu
2024 J jnl
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation.
Expert Syst. Appl.
Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu
2024 J jnl
Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine
Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng
2023 B conf
Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints.
ICIP
Xi Long, Jingxin Liu, Xianxu Hou
2023 — conf
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.
PRCV (5)
Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu
2023 J jnl
Mitosis domain generalization in histopathology images - The MIDOG challenge.
Medical Image Anal.
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
2022 J jnl
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal.
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
2022 J jnl
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.
CoRR
Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu
2022 J jnl
Mitosis domain generalization in histopathology images - The MIDOG challenge.
CoRR
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
2021 — conf
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation.
BIBM
Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang
2021 — conf
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge.
MIDOG/MOOD/Learn2Reg@MICCAI
Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu
2021 J jnl
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge.
CoRR
Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu
2021 J jnl
End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network.
IEEE Trans. Medical Imaging
Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu
2021 J jnl
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation.
IEEE J. Biomed. Health Informatics
Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying
2021 J jnl
Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations.
IEEE J. Biomed. Health Informatics
Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li
2020 J jnl
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.
IEEE Trans. Medical Imaging
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2020 J jnl
Class-Aware Domain Adaptation for Improving Adversarial Robustness.
CoRR
Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu
2020 J jnl
Class-aware domain adaptation for improving adversarial robustness.
Image Vis. Comput.
Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu
2020 A* conf
End-to-End Illuminant Estimation Based on Deep Metric Learning.
CVPR
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu
2020 J jnl
Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images.
Bioinform.
Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, Guoping Qiu
2019 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.
IEEE Trans. Medical Imaging
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2019 — conf
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network.
ISBI
Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu
2019 J jnl
Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets.
IEEE Access
Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu
2019 J jnl
Deep reinforcement learning-based patch selection for illuminant estimation.
Image Vis. Comput.
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu
2019 — conf
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.
MICCAI (2)
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
2019 J jnl
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.
CoRR
Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu
2019 — conf
Learning Deep Image Priors for Blind Image Denoising.
CVPR Workshops
Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu
2019 J jnl
Learning Deep Image Priors for Blind Image Denoising.
CoRR
Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu
2019 — conf
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.
ISBI
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2019 J jnl
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.
CoRR
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
2019 B conf
Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior.
ICIP
Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu
2018 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.
CoRR
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2018 J jnl
Learning Based Image Transformation Using Convolutional Neural Networks.
IEEE Access
Xianxu Hou, Yuanhao Gong, Bozhi Liu, Ke Sun, Jingxin Liu, Bolei Xu, Jiang Duan, Guoping Qiu
2017 — conf
HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network.
ISBI
Jingxin Liu, Bolei Xu, Linlin Shen, Jon Garibaldi, Guoping Qiu
2016 — conf
Luminance Adaptive Biomarker Detection in Digital Pathology Images.
MIUA
Jingxin Liu, Guoping Qiu, Linlin Shen
2016 — conf
Tuberculosis bacteria detection based on Random Forest using fluorescent images.
CISP-BMEI
Chi Zheng, Jingxin Liu, Guoping Qiu