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Yuanhao Guo
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2020 – today
- 2022
- [j6]Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. IEEE Trans. Multim. 24: 3679-3692 (2022) - [c8]Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. AAAI 2022: 1908-1916 - [c7]Yuanhao Guo, Yaoru Luo, Wenjing Li, Ge Yang:
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations. PRCV (2) 2022: 164-177 - [i5]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i4]Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks. CoRR abs/2205.00160 (2022) - 2021
- [c6]Yuanhao Guo, Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Wenjing Li, Ge Yang:
Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features. PRCV (3) 2021: 386-397 - [d1]Yaoru Luo, Yuanhao Guo, Wenjing Li, Guole Liu, Ge Yang:
Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks. IEEE DataPort, 2021 - [i3]Yaoru Luo, Guole Liu, Wenjing Li, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images. CoRR abs/2103.11594 (2021) - 2020
- [j5]Junbo Gao, Yuanhao Guo, Yingxue Sun, Guoqiang Qu:
Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy. Comput. Math. Methods Medicine 2020: 8374317:1-8374317:8 (2020) - [c5]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. ISBI 2020: 149-153 - [i2]Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. CoRR abs/2007.06144 (2020)
2010 – 2019
- 2019
- [i1]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion. CoRR abs/1910.13740 (2019) - 2018
- [j4]Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew:
CNN-RNN: a large-scale hierarchical image classification framework. Multim. Tools Appl. 77(8): 10251-10271 (2018) - [j3]Yuanhao Guo, Rongkai Zhao, Song Wu, Chao Wang:
Image capture pattern optimization for panoramic photography. Multim. Tools Appl. 77(17): 22299-22318 (2018) - [j2]Yuanhao Guo, Zhan Xiong, Fons J. Verbeek:
An efficient and robust hybrid method for segmentation of zebrafish objects from bright-field microscope images. Mach. Vis. Appl. 29(8): 1211-1225 (2018) - 2017
- [j1]Yuanhao Guo, Yunpeng Zhang, Fons J. Verbeek:
A Two-Phase 3-D Reconstruction Approach for Light Microscopy Axial-View Imaging. IEEE J. Sel. Top. Signal Process. 11(7): 1034-1046 (2017) - [c4]Yuanhao Guo, Hermes A. J. Spaink, E. H. J. Krekels, Herman P. Spaink, Piet H. Van Der Graaf, Fons J. Verbeek:
Multi-modal 3d reconstruction and measurements of zebrafish larvae and its organs using axial-view microscopy. ICIP 2017: 2194-2198 - 2016
- [c3]Xiaoqin Tang, Merel van't Hoff, Jerry Hoogenboom, Yuanhao Guo, Fuyu Cai, Gerda Lamers, Fons J. Verbeek:
Fluorescence and bright-field 3D image fusion based on sinogram unification for optical projection tomography. BIBM 2016: 403-410 - 2015
- [c2]Yuanhao Guo, Wouter J. Veneman, Herman P. Spaink, Fons J. Verbeek:
Silhouette-based 3D model for zebrafish high-throughput imaging. IPTA 2015: 403-408 - 2014
- [c1]Yuanhao Guo, Hamdi Dibeklioglu, Laurens van der Maaten:
Graph-Based Kinship Recognition. ICPR 2014: 4287-4292
Coauthor Index
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