| Machine learning for detecting early infarction in acute stroke with non–contrast-enhanced CT W Qiu, H Kuang, E Teleg, JM Ospel, SI Sohn, M Almekhlafi, M Goyal, ... Radiology 294 (3), 638-644, 2020 | 154 | 2020 |
| Automated ASPECTS on noncontrast CT scans in patients with acute ischemic stroke using machine learning H Kuang, M Najm, D Chakraborty, N Maraj, SI Sohn, M Goyal, MD Hill, ... American journal of neuroradiology 40 (1), 33-38, 2019 | 119 | 2019 |
| A fully automated multimodal MRI-based multi-task learning for glioma segmentation and IDH genotyping J Cheng, J Liu, H Kuang, J Wang IEEE Transactions on Medical Imaging 41 (6), 1520-1532, 2022 | 94 | 2022 |
| Radiomics-based intracranial thrombus features on CT and CTA predict recanalization with intravenous alteplase in patients with acute ischemic stroke W Qiu, H Kuang, J Nair, Z Assis, M Najm, C McDougall, B McDougall, ... American Journal of Neuroradiology 40 (1), 39-44, 2019 | 94 | 2019 |
| Combining region-of-interest extraction and image enhancement for nighttime vehicle detection H Kuang, L Chen, F Gu, J Chen, L Chan, H Yan IEEE Intelligent systems 31 (3), 57-65, 2016 | 92 | 2016 |
| Turn signal detection during nighttime by CNN detector and perceptual hashing tracking L Chen, X Hu, T Xu, H Kuang, Q Li IEEE Transactions on Intelligent Transportation Systems 18 (12), 3303-3314, 2017 | 84 | 2017 |
| Nighttime vehicle detection based on bio-inspired image enhancement and weighted score-level feature fusion H Kuang, X Zhang, YJ Li, LLH Chan, H Yan IEEE Transactions on Intelligent Transportation Systems 18 (4), 927-936, 2016 | 84 | 2016 |
| An adaptive method for image dynamic range adjustment KF Yang, H Li, H Kuang, CY Li, YJ Li IEEE Transactions on Circuits and systems for video technology 29 (3), 640-652, 2018 | 55 | 2018 |
| Segmenting hemorrhagic and ischemic infarct simultaneously from follow-up non-contrast CT images in patients with acute ischemic stroke H Kuang, BK Menon, W Qiu IEEE Access 7, 39842-39851, 2019 | 54 | 2019 |
| Multi-class fruit detection based on image region selection and improved object proposals H Kuang, C Liu, LLH Chan, H Yan Neurocomputing 283, 241-255, 2018 | 52 | 2018 |
| EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke H Kuang, BK Menon, SIL Sohn, W Qiu Medical Image Analysis 70, 101984, 2021 | 44 | 2021 |
| Multimodal disentangled variational autoencoder with game theoretic interpretability for glioma grading J Cheng, M Gao, J Liu, H Yue, H Kuang, J Liu, J Wang IEEE Journal of Biomedical and Health Informatics 26 (2), 673-684, 2021 | 39 | 2021 |
| Feature selection based on tensor decomposition and object proposal for night-time multiclass vehicle detection H Kuang, L Chen, LLH Chan, RCC Cheung, H Yan IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1), 71-80, 2018 | 39 | 2018 |
| Bayes saliency-based object proposal generator for nighttime traffic images H Kuang, KF Yang, L Chen, YJ Li, LLH Chan, H Yan IEEE Transactions on Intelligent Transportation Systems 19 (3), 814-825, 2017 | 39 | 2017 |
| Computed tomography perfusion–based machine learning model better predicts follow-up infarction in patients with acute ischemic stroke H Kuang, W Qiu, AM Boers, S Brown, K Muir, CBLM Majoie, DWJ Dippel, ... stroke 52 (1), 223-231, 2021 | 32 | 2021 |
| Confirmatory study of time-dependent computed tomographic perfusion thresholds for use in acute ischemic stroke W Qiu, H Kuang, TY Lee, AM Boers, S Brown, K Muir, CBLM Majoie, ... Stroke 50 (11), 3269-3273, 2019 | 31 | 2019 |
| Automated brain extraction from head CT and CTA images using convex optimization with shape propagation M Najm, H Kuang, A Federico, U Jogiat, M Goyal, MD Hill, A Demchuk, ... Computer Methods and Programs in Biomedicine 176, 1-8, 2019 | 29 | 2019 |
| Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention L Xu, J Cheng, J Liu, H Kuang, F Wu, J Wang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 27 | 2021 |
| MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images H Yue, J Liu, J Li, H Kuang, J Lang, J Cheng, L Peng, Y Han, H Bai, ... Medical image analysis 79, 102423, 2022 | 24 | 2022 |
| Two-stage pedestrian detection based on multiple features and machine learning Y CHONG, H KUANG, Q LI Acta Automatica Sinica 38 (3), 375-381, 2012 | 24 | 2012 |
Wu QiuProfessor, Biomedical Engineering, Huazhong University of Science and Technology, China在 hust.edu.cn 的电子邮件经过验证
