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Xin Yang
Xin Yang
School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
Verified email at mail.sysu.edu.cn
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Year
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
14392018
Deep learning in medical ultrasound analysis: a review
S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang
Engineering 5 (2), 261-275, 2019
6562019
Occurrence and removal of pharmaceuticals and personal care products (PPCPs) in an advanced wastewater reclamation plant
X Yang, RC Flowers, HS Weinberg, PC Singer
Water research 45 (16), 5218-5228, 2011
6222011
Iron-mediated activation of persulfate and peroxymonosulfate in both homogeneous and heterogeneous ways: A review
S Xiao, M Cheng, H Zhong, Z Liu, Y Liu, X Yang, Q Liang
Chemical Engineering Journal 384, 123265, 2020
6172020
3D deeply supervised network for automated segmentation of volumetric medical images
Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng
Medical image analysis 41, 40-54, 2017
6002017
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng
Proceedings of the European conference on computer vision (ECCV), 722-737, 2018
5842018
Radical chemistry and structural relationships of PPCP degradation by UV/chlorine treatment in simulated drinking water
K Guo, Z Wu, C Shang, B Yao, S Hou, X Yang, W Song, J Fang
Environmental science & technology 51 (18), 10431-10439, 2017
4832017
Metapruning: Meta learning for automatic neural network channel pruning
Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4462019
Characterization of algal organic matter and formation of DBPs from chlor (am) ination
J Fang, X Yang, J Ma, C Shang, Q Zhao
Water research 44 (20), 5897-5906, 2010
4192010
Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images
L Yu, X Yang, H Chen, J Qin, PA Heng
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
4092017
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Z Yan, X Yang, KT Cheng
IEEE Transactions on Biomedical Engineering 65 (9), 1912-1923, 2018
4012018
Standard plane localization in fetal ultrasound via domain transferred deep neural networks
H Chen, D Ni, J Qin, S Li, X Yang, T Wang, PA Heng
IEEE journal of biomedical and health informatics 19 (5), 1627-1636, 2015
3882015
Factors affecting formation of haloacetonitriles, haloketones, chloropicrin and cyanogen halides during chloramination
X Yang, C Shang, P Westerhoff
Water Research 41 (6), 1193-1200, 2007
3282007
Image quality assessment based on multiscale geometric analysis
X Gao, W Lu, D Tao, X Li
IEEE Transactions on Image Processing 18 (7), 1409-1423, 2009
3192009
Activation of persulfates by carbonaceous materials: A review
W Huang, S Xiao, H Zhong, M Yan, X Yang
Chemical Engineering Journal 418, 129297, 2021
3122021
Roles of reactive chlorine species in trimethoprim degradation in the UV/chlorine process: Kinetics and transformation pathways
Z Wu, J Fang, Y Xiang, C Shang, X Li, F Meng, X Yang
Water Research 104, 272-282, 2016
3062016
A three-stage deep learning model for accurate retinal vessel segmentation
Z Yan, X Yang, KT Cheng
IEEE journal of Biomedical and Health Informatics 23 (4), 1427-1436, 2018
3052018
Formation of carbonaceous and nitrogenous disinfection by-products from the chlorination of Microcystis aeruginosa
J Fang, J Ma, X Yang, C Shang
Water research 44 (6), 1934-1940, 2010
2992010
Rate Constants and Mechanisms of the Reactions of Cl and Cl2•– with Trace Organic Contaminants
Y Lei, S Cheng, N Luo, X Yang, T An
Environmental science & technology 53 (19), 11170-11182, 2019
2872019
Factors affecting the roles of reactive species in the degradation of micropollutants by the UV/chlorine process
Z Wu, K Guo, J Fang, X Yang, H Xiao, S Hou, X Kong, C Shang, X Yang, ...
Water research 126, 351-360, 2017
2812017
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