Mitosis domain generalization in histopathology images—the MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 84 | 2023 |
Attention by selection: A deep selective attention approach to breast cancer classification B Xu, J Liu, X Hou, B Liu, J Garibaldi, IO Ellis, A Green, L Shen, G Qiu IEEE transactions on medical imaging 39 (6), 1930-1941, 2019 | 64 | 2019 |
An end-to-end deep learning histochemical scoring system for breast cancer TMA J Liu, B Xu, C Zheng, Y Gong, J Garibaldi, D Soria, A Green, IO Ellis, ... IEEE transactions on medical imaging 38 (2), 617-628, 2018 | 55 | 2018 |
Look, investigate, and classify: a deep hybrid attention method for breast cancer classification B Xu, J Liu, X Hou, B Liu, J Garibaldi, IO Ellis, A Green, L Shen, G Qiu 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 44 | 2019 |
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ... Medical Image Analysis 80, 102485, 2022 | 42 | 2022 |
Weakly supervised histopathology image segmentation with sparse point annotations Z Chen, Z Chen, J Liu, Q Zheng, Y Zhu, Y Zuo, Z Wang, X Guan, Y Wang, ... IEEE Journal of Biomedical and Health Informatics 25 (5), 1673-1685, 2020 | 38 | 2020 |
Gcsba-net: Gabor-based and cascade squeeze bi-attention network for gland segmentation Z Wen, R Feng, J Liu, Y Li, S Ying IEEE Journal of Biomedical and Health Informatics 25 (4), 1185-1196, 2020 | 35 | 2020 |
DuAT: Dual-aggregation transformer network for medical image segmentation F Tang, Z Xu, Q Huang, J Wang, X Hou, J Su, J Liu Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 343-356, 2023 | 31 | 2023 |
End-to-end illuminant estimation based on deep metric learning B Xu, J Liu, X Hou, B Liu, G Qiu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
Automated tumor proportion score analysis for PD-L1 (22C3) expression in lung squamous cell carcinoma J Liu, Q Zheng, X Mu, Y Zuo, B Xu, Y Jin, Y Wang, H Tian, Y Yang, Q Xue, ... Scientific reports 11 (1), 15907, 2021 | 27 | 2021 |
Learning based image transformation using convolutional neural networks X Hou, Y Gong, B Liu, K Sun, J Liu, B Xu, J Duan, G Qiu IEEE Access 6, 49779-49792, 2018 | 27 | 2018 |
End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network R Xie, J Liu, R Cao, CS Qiu, J Duan, J Garibaldi, G Qiu IEEE Transactions on Medical Imaging 40 (1), 116-128, 2020 | 26 | 2020 |
Dual adaptive pyramid network for cross-stain histopathology image segmentation X Hou, J Liu, B Xu, B Liu, X Chen, M Ilyas, I Ellis, J Garibaldi, G Qiu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 22 | 2019 |
Bladder cancer multi-class segmentation in MRI with Pyramid-In-Pyramid network J Liu, L Liu, B Xu, X Hou, B Liu, X Chen, L Shen, G Qiu 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 28-31, 2019 | 20 | 2019 |
HEp-2 cell classification based on a deep autoencoding-classification convolutional neural network J Liu, B Xu, L Shen, J Garibaldi, G Qiu 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 20 | 2017 |
Soft tissue removal in x-ray images by half window dark channel prior Y Gong, H Yin, J Liu, B Liu, G Qiu 2019 IEEE International Conference on Image Processing (ICIP), 3576-3580, 2019 | 15 | 2019 |
Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images J Shu, J Liu, Y Zhang, H Fu, M Ilyas, G Faraci, V Della Mea, B Liu, G Qiu Bioinformatics 36 (10), 3225-3233, 2020 | 10 | 2020 |
Tuberculosis bacteria detection based on Random Forest using fluorescent images C Zheng, J Liu, G Qiu 2016 9th international congress on image and signal processing, BioMedical …, 2016 | 10 | 2016 |
Pathological myopic image analysis with transfer learning R Xie, L Liu, J Liu, CS Qiu | 8 | 2019 |
Learning deep image priors for blind image denoising X Hou, H Luo, J Liu, B Xu, K Sun, Y Gong, B Liu, G Qiu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 8 | 2019 |