| CNN-RNN: a large-scale hierarchical image classification framework Y Guo, Y Liu, EM Bakker, Y Guo, MS Lew Multimedia tools and applications 77 (8), 10251-10271, 2018 | 160 | 2018 |
| Graph-based kinship recognition Y Guo, H Dibeklioglu, L Van Der Maaten 2014 22nd international conference on pattern recognition, 4287-4292, 2014 | 88 | 2014 |
| Computer-assisted timber identification based on features extracted from microscopic wood sections F Lens, C Liang, Y Guo, X Tang, M Jahanbanifard, FSC da Silva, ... Iawa Journal 41 (4), 660-680, 2020 | 49 | 2020 |
| Three-dimensional reconstruction and measurements of zebrafish larvae from high-throughput axial-view in vivo imaging Y Guo, WJ Veneman, HP Spaink, FJ Verbeek Biomedical optics express 8 (5), 2611-2634, 2017 | 43 | 2017 |
| Refuge2 challenge: Treasure for multi-domain learning in glaucoma assessment H Fang, F Li, H Fu, X Sun, X Cao, J Son, S Yu, M Zhang, C Yuan, C Bian arXiv preprint arXiv:2202.08994, 2022 | 20 | 2022 |
| Temporal self-ensembling teacher for semi-supervised object detection C Chen, S Dong, Y Tian, K Cao, L Liu, Y Guo IEEE Transactions on Multimedia 24, 3679-3692, 2021 | 20 | 2021 |
| Head pose estimation via manifold learning C Wang, Y Guo, X Song Manifolds-Current Research Areas, 2017 | 10 | 2017 |
| Fluorescence and bright-field 3D image fusion based on sinogram unification for optical projection tomography X Tang, M van't Hoff, J Hoogenboom, Y Guo, F Cai, G Lamers, F Verbeek 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 10 | 2016 |
| An efficient and robust hybrid method for segmentation of zebrafish objects from bright-field microscope images Y Guo, Z Xiong, FJ Verbeek Machine vision and applications 29, 1211-1225, 2018 | 9 | 2018 |
| Deep learning-based morphological classification of endoplasmic reticulum under stress Y Guo, D Shen, Y Zhou, Y Yang, J Liang, Y Zhou, N Li, Y Liu, G Yang, ... Frontiers in cell and developmental biology 9, 767866, 2022 | 8 | 2022 |
| Silhouette-based 3D model for zebrafish High-throughput imaging Y Guo, WJ Veneman, HP Spaink, FJ Verbeek 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 7 | 2015 |
| Image capture pattern optimization for panoramic photography Y Guo, C Wang, R Zhao, S Wu Multimedia Tools and Applications 77 (17), 22299–22318, 2018 | 6 | 2018 |
| Deep neural networks learn meta-structures from noisy labels in semantic segmentation Y Luo, G Liu, Y Guo, G Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1908-1916, 2022 | 5 | 2022 |
| A two-phase 3-d reconstruction approach for light microscopy axial-view imaging Y Guo, Y Zhang, FJ Verbeek IEEE Journal of Selected Topics in Signal Processing 11 (7), 1034-1046, 2017 | 5 | 2017 |
| Segmentation of intracellular structures in fluorescence microscopy images by fusing low-level features Y Guo, J Huang, Y Zhou, Y Luo, W Li, G Yang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 3 | 2021 |
| Role of optical coherence tomography in pipeline embolization device for the treatment of vertebral–basilar artery dissecting aneurysms Y Ma, Z Ji, W Yang, L Li, L Han, Y Liu, Y Guo, AA Dmytriw, C He, G Li, ... Journal of NeuroInterventional Surgery 16 (3), 308-312, 2024 | 1 | 2024 |
| Elucidating meta-structures of noisy labels in semantic segmentation by deep neural networks Y Luo, G Liu, Y Guo, G Yang arXiv preprint arXiv:2205.00160, 2022 | 1 | 2022 |
| Shape analysis for phenotype characterisation from high-throughput imaging Y Guo, Y Guo Leiden University, 2017 | 1 | 2017 |
| Multi-modal 3D reconstruction and measurements of zebrafish larvae and its organs using axial-view microscopy Y Guo, RC van Wijk, EHJ Krekels, HP Spaink, PH Van Der Graaf, ... 2017 IEEE International Conference on Image Processing (ICIP), 2194-2198, 2017 | 1 | 2017 |
| Boosting adversarial robustness via feature refinement, suppression, and alignment Y Wu, Y Guo, D Chen, T Yu, H Xiao, Y Guo, L Bai Complex & Intelligent Systems, 1-21, 2024 | | 2024 |
Fons J. VerbeekProfessor of Computer Science, Leiden University在 liacs.leidenuniv.nl 的电子邮件经过验证
