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Ruixuan Wang
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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
9762021
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
2342018
Boundary-aware fully convolutional network for brain tumor segmentation
H Shen, R Wang, J Zhang, SJ McKenna
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
1142017
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
952016
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
832022
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
662021
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
542014
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
492020
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
372022
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
352021
Automatic normal-abnormal video frame classification for colonoscopy
S Manivannan, R Wang, E Trucco, A Hood
2013 IEEE 10th International Symposium on Biomedical Imaging, 644-647, 2013
342013
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
322022
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
312020
Care: Class attention to regions of lesion for classification on imbalanced data
J Zhuang, J Cai, R Wang, J Zhang, W Zheng
International Conference on Medical Imaging with Deep Learning, 588-597, 2019
292019
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
282020
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
252021
Anomaly detection on electroencephalography with self-supervised learning
J Xu, Y Zheng, Y Mao, R Wang, WS Zheng
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
252020
Retinal microvascular parameters are not associated with reduced renal function in a study of individuals with type 2 diabetes
GJ McKay, EN Paterson, AP Maxwell, CC Cardwell, R Wang, S Hogg, ...
Scientific reports 8 (1), 3931, 2018
242018
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
232020
A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features
AE Fetit, AS Doney, S Hogg, R Wang, T MacGillivray, JM Wardlaw, ...
Scientific reports 9 (1), 3591, 2019
232019
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