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Yu Zhao
Yu Zhao
Tencent AI Lab; Technical University of Munich (TUM)
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
Zitiert von
Jahr
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
18342018
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
2012019
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
1932019
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
1662020
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 (1), 2391925, 2018
1402018
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
1332020
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, 603-613, 2020
832020
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
742021
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
442020
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis
X Xing, F Yang, H Li, J Zhang, Y Zhao, M Gao, J Huang, J Yao
Bioinformatics 38 (8), 2178-2186, 2022
322022
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
272021
Setmil: spatial encoding transformer-based multiple instance learning for pathological image analysis
Y Zhao, Z Lin, K Sun, Y Zhang, J Huang, L Wang, J Yao
International Conference on Medical Image Computing and Computer-Assisted …, 2022
242022
Remix: A general and efficient framework for multiple instance learning based whole slide image classification
J Yang, H Chen, Y Zhao, F Yang, Y Zhang, L He, J Yao
International Conference on Medical Image Computing and Computer-Assisted …, 2022
232022
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
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
222019
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
212019
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
20*2021
Differential diagnosis of parkinsonism based on deep metabolic imaging indices
P Wu, Y Zhao, J Wu, M Brendel, J Lu, J Ge, A Bernhardt, L Li, I Alberts, ...
Journal of Nuclear Medicine 63 (11), 1741-1747, 2022
182022
Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy
S Xue, A Gafita, C Dong, Y Zhao, G Tetteh, BH Menze, S Ziegler, ...
European journal of nuclear medicine and molecular imaging 49 (12), 4064-4072, 2022
152022
Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning
Y Zhao, P Wu, J Wu, M Brendel, J Lu, J Ge, C Tang, J Hong, Q Xu, F Liu, ...
European journal of nuclear medicine and molecular imaging 49 (8), 2798-2811, 2022
142022
An interpretable multi-level enhanced graph attention network for disease diagnosis with gene expression data
X Xing, F Yang, H Li, J Zhang, Y Zhao, M Gao, J Huang, J Yao
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
142021
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