| 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 | 1991 | 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 | 200 | 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 | 200 | 2019 |
| 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 | 183 | 2020 |
| 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 | 154 | 2018 |
| 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 | 153 | 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 | 92 | 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 | 90 | 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 | 45 | 2020 |
| 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 | 41 | 2022 |
| 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 | 34 | 2022 |
| 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 | 33 | 2022 |
| 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 | 30 | 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 | 25 | 2022 |
| 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 | 24 | 2019 |
| 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 | 24 | 2019 |
| 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 | 23 | 2022 |
| Benchmarking spatial clustering methods with spatially resolved transcriptomics data Z Yuan, F Zhao, S Lin, Y Zhao, J Yao, Y Cui, XY Zhang, Y Zhao Nature Methods 21 (4), 712-722, 2024 | 22 | 2024 |
| 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 |
| 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 | 18 | 2022 |
Jianhua YaoTencentVerified email at tencent.com
