| 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 | 856 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 356 | 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 | 133 | 2019 |
| Stochastic analysis using the generalized perturbation stable node-based smoothed finite element method XB Hu, XY Cui, H Feng, GY Li Engineering Analysis with Boundary Elements 70, 40-55, 2016 | 36 | 2016 |
| A Copula-based perturbation stochastic method for fiber-reinforced composite structures with correlations XY Cui, XB Hu, Y Zeng Computer Methods in Applied Mechanics and Engineering 322, 351-372, 2017 | 34 | 2017 |
| The performance prediction and optimization of the fiber-reinforced composite structure with uncertain parameters XB Hu, XY Cui, ZM Liang, GY Li Composite Structures 164, 207-218, 2017 | 23 | 2017 |
| Isogeometric generalized n th order perturbation-based stochastic method for exact geometric modeling of (composite) structures: Static and dynamic analysis with random … C Ding, X Hu, X Cui, G Li, Y Cai, KK Tamma Computer Methods in Applied Mechanics and Engineering 346, 1002-1024, 2019 | 20 | 2019 |
| Face Super-Resolution Guided by 3D Facial Priors X Hu, W Ren, J LaMaster, X Cao, X Li, Z Li, B Menze, W Liu European Conference on Computer Vision （Spotlight paper）, 763-780, 2020 | 19 | 2020 |
| A modified smoothed finite element method for static and free vibration analysis of solid mechanics XY Cui, XB Hu, GY Li, GR Liu International Journal of Computational Methods 13 (06), 1650043, 2016 | 19 | 2016 |
| 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 | 15 | 2018 |
| Ultra-high-definition image dehazing via multi-guided bilateral learning Z Zheng, W Ren, X Cao, X Hu, T Wang, F Song, X Jia 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021 | 13 | 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 | 12 | 2020 |
| 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 | 9* | 2021 |
| Srgat: Single image super-resolution with graph attention network Y Yan, W Ren, X Hu, K Li, H Shen, X Cao IEEE Transactions on Image Processing 30, 4905-4918, 2021 | 9 | 2021 |
| Toward a brain-inspired system: deep recurrent reinforcement learning for a simulated self-driving agent J Chen, J Chen, R Zhang, X Hu Frontiers in neurorobotics, 40, 2019 | 8 | 2019 |
| Pyramid Architecture Search for Real-time Image Deblurring X Hu, W Ren, K Yu, K Zhang, X Cao, W Liu, B Menze International Conference on Computer Vision (ICCV 2021), 2021 | 6 | 2021 |
| Weakly supervised deep learning for determining the prognostic value of 18 F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type R Guo, X Hu, H Song, P Xu, H Xu, A Rominger, X Lin, B Menze, B Li, ... European Journal of Nuclear Medicine and Molecular Imaging, 1-11, 2021 | 5 | 2021 |
| Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification Y Zhao, Y Liu, Y Kan, A Sekuboyina, D Waldmannstetter, H Li, X Hu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 1 | 2019 |
| Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints X Hu, J Song, Z Liao, Y Liu, J Gao, B Menze, W Liu Friction 10 (4), 560-572, 2022 | | 2022 |
| High-resolution Iterative Feedback Network for Camouflaged Object Detection X Hu, DP Fan, X Qin, H Dai, W Ren, Y Tai, C Wang, L Shao arXiv preprint arXiv:2203.11624, 2022 | | 2022 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
