| 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 | 1271 | 2018 |
| 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 | 174 | 2019 |
| 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 | 174 | 2019 |
| 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 | 112 | 2018 |
| 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 | 93 | 2020 |
| 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 | 79 | 2020 |
| 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 | 56 | 2020 |
| 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 | 32 | 2021 |
| 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 | 25 | 2020 |
| 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 | 20 | 2019 |
| 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 | 13 | 2019 |
| 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 | 11 | 2021 |
| 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 | 11 | 2020 |
| 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 | 9 | 2022 |
| 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 | 8 | 2018 |
| 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 | 7 | 2022 |
| 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 | 7 | 2021 |
| 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 | 7 | 2017 |
| 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 | 6 | 2021 |
| 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 | 6 | 2019 |
Bjoern H MenzeUniversität ZürichVerified email at uzh.ch
