Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement

Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, and Jingxin Liu

IEEE International Symposium on Biomedical Imaging (ISBI), 2025

Tag: Medical Image Segmentation, Domain Generalization

PathVLG: A Vision-Language Framework for Domain Generalization in Cross-Organ Adenocarcinoma Segmentation

Biwen Meng, Wanrong Yang, Xi Long, Yuyao Wang, Kang Dang, Yalin Zheng, and Jingxin Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025

Tag: Vision-Language Models, Digital Pathology

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, and Jingxin Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024

Tag: Cell Segmentation, Biomedical Imaging

Mitosis Domain Generalization in Histopathology Images: The MIDOG Challenge

Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas 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, and Katharina Breininger

Medical Image Analysis, 2023

Tag: Histopathology, Domain Generalization

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

Xi Long, Jingxin Liu, and Xianxu Hou

IEEE International Conference on Image Processing (ICIP), 2023

Tag: Domain Adaptation, Digital Pathology

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, and Guoping Qiu

IEEE Transactions on Medical Imaging, 2021

Tag: Fundus Imaging, Landmark Localization

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, and Guoping Qiu

IEEE Transactions on Medical Imaging, 2020

Tag: Breast Cancer Classification, Attention

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 Green, Ian O. Ellis, Wenbin Zou, and Guoping Qiu

IEEE Transactions on Medical Imaging, 2019

Tag: Computational Pathology, Histochemical Scoring

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, and Guoping Qiu

IEEE International Symposium on Biomedical Imaging (ISBI), 2019

Tag: MRI Segmentation, Cancer Imaging

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, and Guoping Qiu

IEEE International Symposium on Biomedical Imaging (ISBI), 2019

Tag: Medical Image Classification, Attention

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

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

IEEE International Conference on Image Processing (ICIP), 2019

Tag: X-Ray Imaging, Image Processing

HEp-2 Cell Classification Based on a Deep Autoencoding-Classification Convolutional Neural Network

Jingxin Liu, Bolei Xu, Linlin Shen, Jon Garibaldi, and Guoping Qiu

IEEE International Symposium on Biomedical Imaging (ISBI), 2017

Tag: Cell Classification, Biomedical Imaging