| 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 | 2139 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1335 | 2023 |
| 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 | 224 | 2021 |
| 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 | 202 | 2019 |
| Highly accurate dichotomous image segmentation X Qin, H Dai, X Hu, DP Fan, L Shao, L Van Gool European Conference on Computer Vision, 38-56, 2022 | 115 | 2022 |
| High-resolution Iterative Feedback Network for Camouflaged Object Detection X Hu, S Wang, X Qin, H Dai, W Ren, D Luo, Y Tai, L Shao Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 23), 2023 | 99 | 2023 |
| 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 | 83 | 2020 |
| 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 | 53 | 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 | 48 | 2020 |
| 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 | 47 | 2016 |
| 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 | 45 | 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 | 40 | 2021 |
| 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 | 40 | 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 | 37 | 2019 |
| Face Restoration via Plug-and-Play 3D Facial Priors X Hu, W Ren, J Yang, X Cao, D Wipf, B Menze, X Tong, H Zha IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 30 | 2021 |
| 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 | 30 | 2017 |
| 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 | 26 | 2019 |
| 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 | 21 | 2016 |
| 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 |
| 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 | 16 | 2022 |
Bjoern MenzeUniversität Zürich在 uzh.ch 的电子邮件经过验证
