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| An active contour model based on local fitted images for image segmentation L Wang, Y Chang, H Wang, Z Wu, J Pu, X Yang Information sciences 418, 61-73, 2017 | 137 | 2017 |
| Airnet: Self-supervised affine registration for 3d medical images using neural networks E Chee, Z Wu arXiv preprint arXiv:1810.02583, 2018 | 92 | 2018 |
| Brain age estimation from MRI using cascade networks with ranking loss J Cheng, Z Liu, H Guan, Z Wu, H Zhu, J Jiang, W Wen, D Tao, T Liu IEEE Transactions on Medical Imaging 40 (12), 3400-3412, 2021 | 72 | 2021 |
| Automated analysis of Doppler echocardiographic videos as a screening tool for valvular heart diseases F Yang, X Chen, X Lin, X Chen, W Wang, B Liu, Y Li, H Pu, L Zhang, ... Cardiovascular Imaging 15 (4), 551-563, 2022 | 54 | 2022 |
| Development and validation of a deep learning model for brain tumor diagnosis and classification using magnetic resonance imaging P Gao, W Shan, Y Guo, Y Wang, R Sun, J Cai, H Li, WS Chan, P Liu, L Yi, ... JAMA Network Open 5 (8), e2225608-e2225608, 2022 | 40 | 2022 |
| Neural modeling of buying behaviour for e-commerce from clicking patterns Z Wu, BH Tan, R Duan, Y Liu, RS Mong Goh Proceedings of the 2015 international acm recommender systems challenge, 1-4, 2015 | 40 | 2015 |
| Artificial intelligence can effectively predict early hematoma expansion of intracerebral hemorrhage analyzing noncontrast computed tomography image L Teng, Q Ren, P Zhang, Z Wu, W Guo, T Ren Frontiers in aging neuroscience 13, 632138, 2021 | 38 | 2021 |
| Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review R Mane, Z Wu, D Wang Stroke and vascular neurology 7 (6), 2022 | 34 | 2022 |
| A deep learning approach for tumor tissue image classification X Yang, SY Yeo, JM Hong, ST Wong, WT Tang, ZZ Wu, G Lee, S Chen, ... IASTED Biomedical Engineering 10, 2016.832-025, 2016 | 33 | 2016 |
| White matter hyperintensities segmentation using an ensemble of neural networks X Li, Y Zhao, J Jiang, J Cheng, W Zhu, Z Wu, J Jing, Z Zhang, W Wen, ... Human Brain Mapping 43 (3), 929-939, 2022 | 31 | 2022 |
| Fvp: Fourier visual prompting for source-free unsupervised domain adaptation of medical image segmentation Y Wang, J Cheng, Y Chen, S Shao, L Zhu, Z Wu, T Liu, H Zhu IEEE Transactions on Medical Imaging 42 (12), 3738-3751, 2023 | 28 | 2023 |
| Assisting scalable diagnosis automatically via CT images in the combat against COVID-19 B Liu, P Liu, L Dai, Y Yang, P Xie, Y Tan, J Du, W Shan, C Zhao, Q Zhong, ... Scientific Reports 11 (1), 4145, 2021 | 27 | 2021 |
| Multi-modal hybrid deep neural network for speech enhancement Z Wu, S Sivadas, YK Tan, M Bin, RSM Goh arXiv preprint arXiv:1606.04750, 2016 | 24 | 2016 |
| Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: a retrospective, multicentre cohort study L Ding, R Mane, Z Wu, Y Jiang, X Meng, J Jing, W Ou, X Wang, Y Liu, ... EClinicalMedicine 53, 2022 | 21 | 2022 |
| Primary categorizing and masking cerebral small vessel disease based on “deep learning system” Y Duan, W Shan, L Liu, Q Wang, Z Wu, P Liu, J Ji, Y Liu, K He, Y Wang Frontiers in neuroinformatics 14, 17, 2020 | 21 | 2020 |
| Deep neural network-based detection and segmentation of intracranial aneurysms on 3D rotational DSA X Liu, J Feng, Z Wu, Z Neo, C Zhu, P Zhang, Y Wang, Y Jiang, ... Interventional Neuroradiology 27 (5), 648-657, 2021 | 19 | 2021 |
| Reduced white matter microstructural integrity in prediabetes and diabetes: a population-based study J Jing, Y Zhou, Y Pan, X Cai, W Zhu, Z Zhang, Z Li, C Liu, X Meng, ... EBioMedicine 82, 2022 | 17 | 2022 |
| Automated identification of skull fractures with deep learning: a comparison between object detection and segmentation approach W Shan, J Guo, X Mao, Y Zhang, Y Huang, S Wang, Z Li, X Meng, ... Frontiers in neurology 12, 687931, 2021 | 16 | 2021 |
| Automatic segmentation of left ventricular myocardium by deep convolutional and de-convolutional neural networks XL Yang, L Gobeawan, SY Yeo, WT Tang, ZZ Wu, Y Su 2016 Computing in Cardiology Conference (CinC), 81-84, 2016 | 16 | 2016 |
Xulei YangPrincipal Scientist & Group Leader, A*STAR, Singaporeยืนยันอีเมลแล้วที่ i2r.a-star.edu.sg