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Yu Zhao
Yu Zhao
AI Lab, Tencent
Verified email at tum.de
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Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
8622018
Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things
S Wan, Y Zhao, T Wang, Z Gu, QH Abbasi, KKR Choo
Future Generation Computer Systems 91, 382-391, 2019
1532019
Knowledge-aided convolutional neural network for small organ segmentation
Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze
IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019
1342019
Automated whole-body bone lesion detection for multiple myeloma on 68Ga-pentixafor PET/CT imaging using deep learning methods
L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ...
Contrast media & molecular imaging 2018, 2018
812018
Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images
L Zhou, Y Zhao, J Yang, Q Yu, X Xu
IET Image Processing 12 (4), 563-571, 2018
592018
Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution
Y Zhao, F Yang, Y Fang, H Liu, N Zhou, J Zhang, J Sun, S Yang, B Menze, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
452020
Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT
Y Zhao, A Gafita, B Vollnberg, G Tetteh, F Haupt, A Afshar-Oromieh, ...
European journal of nuclear medicine and molecular imaging 47 (3), 603-613, 2020
402020
Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer
R Cao, F Yang, SC Ma, L Liu, Y Zhao, Y Li, DH Wu, T Wang, WJ Lu, ...
Theranostics 10 (24), 11080, 2020
342020
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
X Hu, H Li, Y Zhao, C Dong, BH Menze, M Piraud
International MICCAI brainlesion workshop, 116-127, 2018
162018
Coarse-to-fine adversarial networks and zone-based uncertainty analysis for NK/T-cell lymphoma segmentation in CT/PET images
X Hu, R Guo, J Chen, H Li, D Waldmannstetter, Y Zhao, B Li, K Shi, ...
IEEE journal of biomedical and health informatics 24 (9), 2599-2608, 2020
122020
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images
Y Zhao, P Wu, J Wang, H Li, N Navab, I Yakushev, W Weber, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
92019
Feedback graph attention convolutional network for medical image enhancement
X Hu, Y Yan, W Ren, H Li, Y Zhao, A Bayat, B Menze
arXiv preprint arXiv:2006.13863, 2020
62020
Exploiting the persymmetric property of covariance matrices for knowledge-aided space-time adaptive processing
Y Zhao, S Wan, S Lu, J Sun, P Lei
IEEE Access 6, 68001-68012, 2018
62018
W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
52017
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
H Li, F Yang, Y Zhao, X Xing, J Zhang, M Gao, J Huang, L Wang, J Yao
International Conference on Medical Image Computing and Computer-Assisted …, 2021
32021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
X Hu, Y Yan, W Ren, H Li, A Bayat, Y Zhao, B Menze
Medical Imaging with Deep Learning, 327-337, 2021
32021
Deep neural network for automatic characterization of lesions on 68Ga-PSMA PET/CT Images
Y Zhao, A Gafita, G Tetteh, F Haupt, A Afshar-Oromieh, B Menze, M Eiber, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
32019
Automatic multi-atlas segmentation for abdominal images using template construction and robust principal component analysis
Y Zhao, H Li, R Zhou, G Tetteh, M Niethammer, BH Menze
2018 24th International Conference on Pattern Recognition (ICPR), 3880-3885, 2018
32018
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information
H Li, F Yang, X Xing, Y Zhao, J Zhang, Y Liu, M Han, J Huang, L Wang, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
22021
A transferrable and interpretable multiple instance learning model for microsatellite instability prediction based on histopathology images
R Cao, F Yang, SC Ma, L Liu, Y Li, DH Wu, Y Zhao, TX Wang, WJ Lu, ...
bioRxiv, 2020
22020
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