| 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 | 217 | 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 | 176 | 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 | 155 | 2022 |
| A new automatic mass detection method for breast cancer with false positive reduction X Liu, Z Zeng Neurocomputing 152, 388-402, 2015 | 106 | 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 | 101 | 2011 |
| 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 | 100 | 2019 |
| 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 | 95 | 2013 |
| 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 | 86 | 2020 |
| Mechanical Properties Prediction for Hot Rolled Alloy Steel Using Convolutional Neural Network Z Xu, X Liu, K Zhang IEEE Access 9, 47068-47078, 2019 | 79 | 2019 |
| 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 | 61 | 2021 |
| 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 | 61 | 2020 |
| 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 | 58 | 2021 |
| 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 | 58 | 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 | 57 | 2007 |
| Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning J Wu, W Hu, Y Wen, WL Tu, XM Liu Sensors 20 (24), 7080, 2020 | 53 | 2020 |
| MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation G Chen, J Ru, Y Zhou, I Rekik, Z Pan, X Liu, Y Lin, B Lu, J Shi NeuroImage 244, 118568, 2021 | 49 | 2021 |
| 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 | 49 | 2011 |
| 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 | 46 | 2015 |
| 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 | 45 | 2010 |
| Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images X Liu, D Zhang, J Yao, J Tang Biomedical Signal Processing and Control 83, 104604, 2023 | 43 | 2023 |
Jinshan TangGeorge Mason UniversityDirección de correo verificada de gmu.edu