Xiaoming Liu
Cited by
Cited by
Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method
X Liu, J Tang
Systems Journal 8 (3), 910 - 920, 2014
A direct image contrast enhancement algorithm in the wavelet domain for screening mammograms
J Tang, X Liu, Q Sun
IEEE Journal of Selected Topics in Signal Processing 3 (1), 74-80, 2009
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
X Liu, Q Yuan, Y Gao, K He, S Wang, X Tang, J Tang, D Shen
Pattern recognition 122, 108341, 2022
A new automatic mass detection method for breast cancer with false positive reduction
X Liu, Z Zeng
Neurocomputing 152, 388-402, 2015
Robust automatic focus algorithm for low contrast images using a new contrast measure
X Xu, Y Wang, J Tang, X Zhang, X Liu
Sensors 11 (9), 8281-8294, 2011
Exploring techniques for vision based human activity recognition: Methods, systems, and evaluation
X Xu, J Tang, X Zhang, X Liu, H Zhang, Y Qiu
Sensors 13 (2), 1635-1650, 2013
Semi-Supervised Automatic Segmentation of Layer and Fluid Region in Retinal Optical Coherence Tomography Images Using Adversarial Learning
X Liu, J Cao, T Fu, Z Pan, W Hu, K Zhang, J Liu
IEEE Access 7, 3046-3061, 2019
Orthogonal neighborhood preserving embedding for face recognition
X Liu, J Yin, Z Feng, J Dong, L Wang
2007 IEEE International Conference on Image Processing 1, I-133-I-136, 2007
Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization
K Zhang, C Shen, X Liu, GG Yen
IEEE Transactions on Evolutionary Computation 24 (5), 974-988, 2020
Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning
X Liu, A Yu, X Wei, Z Pan, J Tang
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1176-1188, 2020
Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier
X Liu, T Fu, Z Pan, D Liu, W Hu, J Liu, K Zhang
IEEE journal of biomedical and health informatics 23 (4), 1404-1416, 2019
Mechanical Properties Prediction for Hot Rolled Alloy Steel Using Convolutional Neural Network
Z Xu, X Liu, K Zhang
IEEE Access 9, 47068-47078, 2019
MDC-Net: A New Convolutional Neural Network for Nucleus Segmentation in Histopathology Images with Distance Maps and Contour Information
X Liu, Z Guo, J Cao, J Tang
Computers in Biology and Medicine, 2021
Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning
X Liu, S Wang, Y Zhang, D Liu, W Hu
Neurocomputing, 2021
Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method
X Liu, M Mei, J Liu, W Hu
EURASIP Journal on Advances in Signal Processing 2015 (1), 1-13, 2015
Mass segmentation using a combined method for cancer detection
J Liu, J Chen, X Liu, L Chun, J Tang, Y Deng
BMC systems biology 5 (3), 1-9, 2011
A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis
X Liu, J Liu, D Zhou, J Tang
2010 4th International Conference on Bioinformatics and Biomedical …, 2010
Incremental manifold learning via tangent space alignment
X Liu, J Yin, Z Feng, J Dong
Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop …, 2006
Dense-Residual Network With Adversarial Learning for Skin Lesion Segmentation
W Tu, X Liu, W Hu, Z Pan
IEEE Access 7, 77037-77051, 2019
Gender recognition using 3-d human body shapes
J Tang, X Liu, H Cheng, KM Robinette
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011
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