A population-based phenome-wide association study of cardiac and aortic structure and function W Bai, H Suzuki, J Huang, C Francis, S Wang, G Tarroni, F Guitton, ... Nature medicine 26 (10), 1654-1662, 2020 | 103 | 2020 |
A solvent-based surface cleaning and passivation technique for suppressing ionic defects in high-mobility perovskite field-effect transistors XJ She, C Chen, G Divitini, B Zhao, Y Li, J Wang, JF Orri, L Cui, W Xu, ... Nature Electronics 3 (11), 694-703, 2020 | 96 | 2020 |
Realistic Adversarial Data Augmentation for MR Image Segmentation C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 81 | 2020 |
Characterizing Tumor Invasiveness of Glioblastoma Using Multiparametric Magnetic Resonance Imaging C Li, S Wang, JL Yan, T Torheim, N Boonzaier, R Sinha, T Matys, ... Journal of Neurosurgery, 2019 | 55 | 2019 |
An epidemiological modelling approach for COVID-19 via data assimilation P Nadler, S Wang, R Arcucci, X Yang, Y Guo European Journal of Epidemiology 35 (8), 749-761, 2020 | 46 | 2020 |
Intratumoral heterogeneity of glioblastoma infiltration revealed by joint histogram analysis of diffusion tensor imaging C Li, S Wang, JL Yan, RJ Piper, H Liu, T Torheim, H Kim, J Zou, ... Neurosurgery 85 (4), 524-534, 2019 | 38 | 2019 |
The influence of constitutive law choice used to characterise atherosclerotic tissue material properties on computing stress values in human carotid plaques Z Teng, J Yuan, J Feng, Y Zhang, AJ Brown, S Wang, Q Lu, JH Gillard Journal of biomechanics 48 (14), 3912-3921, 2015 | 34 | 2015 |
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling C Dai, S Wang, Y Mo, E Angelini, Y Guo, W Bai International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 27 | 2020 |
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction S Wang, C Dai, Y Mo, E Angelini, Y Guo, W Bai MICCAI Brain Lesion (BrainLes) Workshop, 2019 | 26 | 2019 |
Input augmentation with sam: Boosting medical image segmentation with segmentation foundation model Y Zhang, T Zhou, S Wang, P Liang, DZ Chen arXiv preprint arXiv:2304.11332, 2023 | 22 | 2023 |
Enhancing MR image segmentation with realistic adversarial data augmentation C Chen, C Qin, C Ouyang, Z Li, S Wang, H Qiu, L Chen, G Tarroni, W Bai, ... Medical Image Analysis, 102597, 2022 | 21 | 2022 |
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation S Wang, G Tarroni, C Qin, Y Mo, C Dai, C Chen, B Glocker, Y Guo, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 20 | 2020 |
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI C Qin, S Wang, C Chen, H Qiu, W Bai, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 20 | 2020 |
Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma C Li, S Wang, A Serra, T Torheim, JL Yan, NR Boonzaier, Y Huang, ... European radiology 29, 4718-4729, 2019 | 19 | 2019 |
A bayesian updating scheme for pandemics: estimating the infection dynamics of covid-19 S Wang, X Yang, L Li, P Nadler, R Arcucci, Y Huang, Z Teng, Y Guo IEEE Computational Intelligence Magazine 15 (4), 23-33, 2020 | 17 | 2020 |
Influence of overlapping pattern of multiple overlapping uncovered stents on the local mechanical environment: a patient-specific parameter study S Wang, Y Zhang, J Feng, Y Huang, A Tokgoz, U Sadat, JH Gillard, Q Lu, ... Journal of biomechanics 60, 188-196, 2017 | 15 | 2017 |
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation S Wang, C Qin, N Savioli, C Chen, D O'Regan, S Cook, Y Guo, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 13 | 2021 |
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction J Lyu, G Li, C Wang, C Qin, S Wang, Q Dou, J Qin Medical Image Analysis 85, 102760, 2023 | 12 | 2023 |
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... Journal of Machine Learning for Biomedical Imaging 1, 2022 | 12 | 2022 |
Bayesian inference-based estimation of normal aortic, aneurysmal and atherosclerotic tissue mechanical properties: From material testing, modeling and histology S Wang, A Tokgoz, Y Huang, Y Zhang, J Feng, P Sastry, C Sun, N Figg, ... IEEE Transactions on Biomedical Engineering 66 (8), 2269-2278, 2019 | 11 | 2019 |