| 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 | 862 | 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 | 153 | 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 | 134 | 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 | 81 | 2018 |
| 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 | 59 | 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 | 45 | 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 (3), 603-613, 2020 | 40 | 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 | 34 | 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 International MICCAI brainlesion workshop, 116-127, 2018 | 16 | 2018 |
| 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 | 12 | 2020 |
| 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 | 9 | 2019 |
| 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 | 6 | 2020 |
| 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 | 6 | 2018 |
| 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 | 5 | 2017 |
| 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 | 3 | 2021 |
| 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 | 3 | 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 | 3 | 2019 |
| 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 | 3 | 2018 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
