Yong Xia
Cited by
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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
Robust saliency detection via regularized random walks ranking
C Li, Y Yuan, W Cai, Y Xia, D Dagan Feng
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Morphology-based multifractal estimation for texture segmentation
Y Xia, D Feng, R Zhao
IEEE Transactions on Image Processing 15 (3), 614-623, 2006
Fuzzy c-means clustering with weighted image patch for image segmentation
Z Ji, Y Xia, Q Chen, Q Sun, D Xia, DD Feng
Applied soft computing 12 (6), 1659-1667, 2012
Image segmentation by clustering of spatial patterns
Y Xia, T Wang, R Zhao, Y Zhang
Pattern Recognition Letters 28 (12), 1548-1555, 2007
Fuzzy local Gaussian mixture model for brain MR image segmentation
Z Ji, Y Xia, Q Sun, Q Chen, D Xia, DD Feng
IEEE Transactions on Information Technology in Biomedicine 16 (3), 339-347, 2012
Viral pneumonia screening on chest x-ray images using confidence-aware anomaly detection
J Zhang, Y Xie, Z Liao, G Pang, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...
arXiv preprint arXiv:2003.12338, 2020
Generalized rough fuzzy c-means algorithm for brain MR image segmentation
Z Ji, Q Sun, Y Xia, Q Chen, D Xia, D Feng
Computer methods and programs in biomedicine 108 (2), 644-655, 2012
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
Y Xie, J Zhang, Y Xia, M Fulham, Y Zhang
Information Fusion 42, 102-110, 2018
Active contours driven by local likelihood image fitting energy for image segmentation
Z Ji, Y Xia, Q Sun, G Cao, Q Chen
Information Sciences 301, 285-304, 2015
Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT
Y Xie, Y Xia, J Zhang, Y Song, D Feng, M Fulham, W Cai
IEEE transactions on medical imaging 38 (4), 991-1004, 2018
Hybrid genetic and variational expectation-maximization algorithm for Gaussian-mixture-model-based brain MR image segmentation
GJ Tian, Y Xia, Y Zhang, D Feng
IEEE transactions on information technology in biomedicine 15 (3), 373-380, 2011
Medical image classification using synergic deep learning
J Zhang, Y Xie, Q Wu, Y Xia
Medical image analysis 54, 10-19, 2019
Attention residual learning for skin lesion classification
J Zhang, Y Xie, Y Xia, C Shen
IEEE transactions on medical imaging 38 (9), 2092-2103, 2019
Interval-valued possibilistic fuzzy C-means clustering algorithm
Z Ji, Y Xia, Q Sun, G Cao
Fuzzy Sets and Systems 253, 138-156, 2014
Adaptive segmentation of textured images by using the coupled Markov random field model
Y Xia, D Feng, R Zhao
IEEE transactions on image processing 15 (11), 3559-3566, 2006
Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual features
J Zhang, Y Xia, Y Xie, M Fulham, DD Feng
IEEE journal of biomedical and health informatics 22 (5), 1521-1530, 2017
Multiscale network followed network model for retinal vessel segmentation
Y Wu, Y Xia, Y Song, Y Zhang, W Cai
International Conference on Medical Image Computing and Computer-Assisted …, 2018
A tribe competition-based genetic algorithm for feature selection in pattern classification
B Ma, Y Xia
Applied Soft Computing 58, 328-338, 2017
Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis
Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2018
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