Texture feature analysis for computer-aided diagnosis on pulmonary nodules F Han, H Wang, G Zhang, H Han, B Song, L Li, W Moore, H Lu, H Zhao, ... Journal of digital imaging 28, 99-115, 2015 | 301 | 2015 |
Fast and adaptive detection of pulmonary nodules in thoracic CT images using a hierarchical vector quantization scheme H Han, L Li, F Han, B Song, W Moore, Z Liang IEEE journal of biomedical and health informatics 19 (2), 648-659, 2014 | 137 | 2014 |
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method X Min, M Li, D Dong, Z Feng, P Zhang, Z Ke, H You, F Han, H Ma, J Tian, ... European journal of radiology 115, 16-21, 2019 | 132 | 2019 |
A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation H Wang, T Zhao, LC Li, H Pan, W Liu, H Gao, F Han, Y Wang, Y Qi, ... Journal of X-ray Science and Technology 26 (2), 171-187, 2018 | 74 | 2018 |
A texture feature analysis for diagnosis of pulmonary nodules using LIDC-IDRI database F Han, G Zhang, H Wang, B Song, H Lu, D Zhao, H Zhao, Z Liang 2013 IEEE International Conference on Medical Imaging Physics and …, 2013 | 72 | 2013 |
Cryptanalysis and improvement in an image encryption scheme using combination of the 1D chaotic map J Chen, F Han, W Qian, YD Yao, Z Zhu Nonlinear Dynamics 93, 2399-2413, 2018 | 57 | 2018 |
Lung nodule classification using local kernel regression models with out-of-sample extension G Wei, H Ma, W Qian, F Han, H Jiang, S Qi, M Qiu Biomedical Signal Processing and Control 40, 1-9, 2018 | 54 | 2018 |
CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images P Monkam, S Qi, M Xu, F Han, X Zhao, W Qian Biomedical engineering online 17, 1-16, 2018 | 52 | 2018 |
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets S Zhang, F Han, Z Liang, J Tan, W Cao, Y Gao, M Pomeroy, K Ng, W Hou Computerized Medical Imaging and Graphics 77, 101645, 2019 | 47 | 2019 |
Ensemble learning of multiple-view 3D-CNNs model for micro-nodules identification in CT images P Monkam, S Qi, M Xu, H Li, F Han, Y Teng, W Qian IEEE Access 7, 5564-5576, 2018 | 40 | 2018 |
The detection of crackles based on mathematical morphology in spectrogram analysis K Zhang, X Wang, F Han, H Zhao Technology and Health Care 23 (s2), S489-S494, 2015 | 36 | 2015 |
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children B Wang, M Li, H Ma, F Han, Y Wang, S Zhao, Z Liu, T Yu, J Tian, D Dong, ... BMC Medical Imaging 19, 1-11, 2019 | 33 | 2019 |
A block advanced PCA fusion algorithm based on PET/CT J Yang, F Han, D Zhao 2011 Fourth international conference on intelligent computation technology …, 2011 | 21 | 2011 |
A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules F Han, H Wang, B Song, G Zhang, H Lu, W Moore, H Zhao, Z Liang Medical Imaging 2013: Computer-Aided Diagnosis 8670, 763-769, 2013 | 14 | 2013 |
Vector quantization-based automatic detection of pulmonary nodules in thoracic CT images H Han, L Li, F Han, H Zhang, W Moore, Z Liang 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 12 | 2013 |
Research on preprocessing algorithm for PET-CT image registration F Han, J Yang, Y Liu, H Zhao 2010 International Conference on Optoelectronics and Image Processing 2, 266-269, 2010 | 12 | 2010 |
A brief review for content-based microorganism image analysis using classical and deep neural networks C Li, N Xu, T Jiang, S Qi, F Han, W Qian, X Zhao Information Technology in Biomedicine: Proceedings 6th International …, 2019 | 11 | 2019 |
Two graph-regularized fuzzy subspace clustering methods Y Teng, S Qi, F Han, L Xu, Y Yao, W Qian Applied Soft Computing 100, 106981, 2021 | 10 | 2021 |
Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules F Han, H Wang, B Song, G Zhang, H Lu, W Moore, Z Liang, H Zhao Medical Imaging 2014: Computer-Aided Diagnosis 9035, 616-622, 2014 | 10 | 2014 |
A dynamic lesion model for differentiation of malignant and benign pathologies W Cao, Z Liang, Y Gao, MJ Pomeroy, F Han, A Abbasi, PJ Pickhardt Scientific Reports 11 (1), 3485, 2021 | 9 | 2021 |