Multiple sclerosis detection based on biorthogonal wavelet transform, RBF kernel principal component analysis, and logistic regression SH Wang, TM Zhan, Y Chen, Y Zhang, M Yang, HM Lu, HN Wang, B Liu, ... IEEE Access 4, 7567-7576, 2016 | 144 | 2016 |
Cerebral micro‐bleeding identification based on a nine‐layer convolutional neural network with stochastic pooling S Wang, J Sun, I Mehmood, C Pan, Y Chen, YD Zhang Concurrency and Computation: Practice and Experience 32 (1), e5130, 2020 | 117 | 2020 |
The classification of gliomas based on a pyramid dilated convolution resnet model Z Lu, Y Bai, Y Chen, C Su, S Lu, T Zhan, X Hong, S Wang Pattern Recognition Letters 133, 173-179, 2020 | 101 | 2020 |
Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique SH Wang, Y Chen Multimedia Tools and Applications 79 (21), 15117-15133, 2020 | 74 | 2020 |
Heterogeneous data fusion for predicting mild cognitive impairment conversion HT Shen, X Zhu, Z Zhang, SH Wang, Y Chen, X Xu, J Shao Information Fusion 66, 54-63, 2021 | 68 | 2021 |
Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping YD Zhang, XX Hou, Y Chen, H Chen, M Yang, J Yang, SH Wang Multimedia Tools and Applications 77, 21825-21845, 2018 | 62 | 2018 |
Wavelet energy entropy and linear regression classifier for detecting abnormal breasts Y Chen, Y Zhang, HM Lu, XQ Chen, JW Li, SH Wang Multimedia Tools and Applications 77, 3813-3832, 2018 | 53 | 2018 |
Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and … Y Chen, M Yang, X Chen, B Liu, H Wang, S Wang Multimedia Tools and Applications 77, 3775-3793, 2018 | 53 | 2018 |
A feature-free 30-disease pathological brain detection system by linear regression classifier Y Chen, Y Shao, J Yan, TF Yuan, Y Qu, E Lee, S Wang CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 41 | 2017 |
Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification Y Chen, Z Jin Neurocomputing 87, 41-50, 2012 | 31 | 2012 |
Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation B Chen, Z Zhang, J Lin, Y Chen, G Lu Pattern Recognition Letters 135, 221-227, 2020 | 29 | 2020 |
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis Z Zhang, Q Zhu, GS Xie, Y Chen, Z Li, S Wang Neural Networks 123, 94-107, 2020 | 23 | 2020 |
Medical image inpainting with edge and structure priors Q Wang, Y Chen, N Zhang, Y Gu Measurement 185, 110027, 2021 | 22 | 2021 |
A weighted feature transfer gan for medical image synthesis S Yao, J Tan, Y Chen, Y Gu Machine Vision and Applications 32 (1), 22, 2021 | 22 | 2021 |
When visual disparity generation meets semantic segmentation: A mutual encouragement approach X Zhang, Y Chen, H Zhang, S Wang, J Lu, J Yang IEEE Transactions on Intelligent Transportation Systems 22 (3), 1853-1867, 2020 | 14 | 2020 |
Feature extraction based on maximum nearest subspace margin criterion Y Chen, Z Li, Z Jin Neural processing letters 37, 355-375, 2013 | 14 | 2013 |
Confidence-and-refinement adaptation model for cross-domain semantic segmentation X Zhang, Y Chen, Z Shen, Y Shen, H Zhang, Y Zhang IEEE Transactions on Intelligent Transportation Systems 23 (7), 9529-9542, 2022 | 11 | 2022 |
Brain tumor segmentation using deep belief networks and pathological knowledge T Zhan, Y Chen, X Hong, Z Lu, Y Chen CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 9 | 2017 |
A novel method for breast mass segmentation: from superpixel to subpixel segmentation S Gu, Y Chen, F Sheng, T Zhan, Y Chen Machine Vision and Applications 30, 1111-1122, 2019 | 8 | 2019 |
Pathological brain detection by wavelet-energy and fuzzy support vector machine S Wang, Y Chen, XX Zhou, J Yang, L Wei, P Sun, Y Zhang 2015 8th International Symposium on Computational Intelligence and Design …, 2015 | 8 | 2015 |