| 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 | 2311 | 2018 |
| Deep learning enables accurate diagnosis of novel coronavirus (COVID-19) with CT images Y Song, S Zheng, L Li, X Zhang, X Zhang, Z Huang, J Chen, R Wang, ... IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2021 | 1052 | 2021 |
| Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images H Li, G Jiang, J Zhang, R Wang, Z Wang, WS Zheng, B Menze Neuroimage 183, 650-665, 2018 | 260 | 2018 |
| Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study R Nirthika, S Manivannan, A Ramanan, R Wang Neural Computing and Applications 34 (7), 5321-5347, 2022 | 176 | 2022 |
| Boundary-aware fully convolutional network for brain tumor segmentation H Shen, R Wang, J Zhang, SJ McKenna International conference on medical image computing and computer-assisted …, 2017 | 124 | 2017 |
| Skin cancer classification with deep learning: a systematic review Y Wu, B Chen, A Zeng, D Pan, R Wang, S Zhao Frontiers in Oncology 12, 893972, 2022 | 103 | 2022 |
| Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images W Zhou, Y Yang, C Yu, J Liu, X Duan, Z Weng, D Chen, Q Liang, Q Fang, ... Nature communications 12 (1), 1259, 2021 | 100 | 2021 |
| An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna Pattern Recognition 51, 12-26, 2016 | 100 | 2016 |
| Fusing metadata and dermoscopy images for skin disease diagnosis W Li, J Zhuang, R Wang, J Zhang, WS Zheng 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1996-2000, 2020 | 68 | 2020 |
| A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology X Zheng, R Wang, X Zhang, Y Sun, H Zhang, Z Zhao, Y Zheng, J Luo, ... Nature communications 13 (1), 2790, 2022 | 63 | 2022 |
| HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 55 | 2014 |
| Continual learning with bayesian model based on a fixed pre-trained feature extractor Y Yang, Z Cui, J Xu, C Zhong, WS Zheng, R Wang Visual Intelligence 1 (1), 5, 2023 | 47 | 2023 |
| Cross-view relation networks for mammogram mass detection J Ma, X Li, H Li, R Wang, B Menze, WS Zheng 2020 25th International Conference on Pattern Recognition (ICPR), 8632-8638, 2021 | 44 | 2021 |
| Abnormality detection in chest x-ray images using uncertainty prediction autoencoders Y Mao, FF Xue, R Wang, J Zhang, WS Zheng, H Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 43 | 2020 |
| Early detection of visual impairment in young children using a smartphone-based deep learning system W Chen, R Li, Q Yu, A Xu, Y Feng, R Wang, L Zhao, Z Lin, Y Yang, D Lin, ... Nature medicine 29 (2), 493-503, 2023 | 42 | 2023 |
| Preserving earlier knowledge in continual learning with the help of all previous feature extractors Z Li, C Zhong, S Liu, R Wang, WS Zheng arXiv preprint arXiv:2104.13614, 2021 | 40 | 2021 |
| Deep kNN for medical image classification J Zhuang, J Cai, R Wang, J Zhang, WS Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 40 | 2020 |
| A digital mask to safeguard patient privacy Y Yang, J Lyu, R Wang, Q Wen, L Zhao, W Chen, S Bi, J Meng, K Mao, ... Nature medicine 28 (9), 1883-1892, 2022 | 36 | 2022 |
| SATS: Self-attention transfer for continual semantic segmentation Y Qiu, Y Shen, Z Sun, Y Zheng, X Chang, W Zheng, R Wang Pattern Recognition 138, 109383, 2023 | 34 | 2023 |
| Continual learning of new diseases with dual distillation and ensemble strategy Z Li, C Zhong, R Wang, WS Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 34 | 2020 |
Jianguo ZhangProfessor, Southern University of Science and Technologyایمیل تأیید شده در sustech.edu.cn