| Computer aided lung cancer diagnosis with deep learning algorithms W Sun, B Zheng, W Qian Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97850Z, 2016 | 321 | 2016 |
| Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data W Sun, TLB Tseng, J Zhang, W Qian Computerized Medical Imaging and Graphics 57, 4-9, 2017 | 290 | 2017 |
| Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis W Sun, B Zheng, W Qian Computers in biology and medicine 89, 530-539, 2017 | 234 | 2017 |
| Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks X Huang, W Sun, TLB Tseng, C Li, W Qian Computerized Medical Imaging and Graphics 74, 25-36, 2019 | 139 | 2019 |
| Using multiscale texture and density features for near‐term breast cancer risk analysis W Sun, TLB Tseng, W Qian, J Zhang, EC Saltzstein, B Zheng, F Lure, ... Medical physics 42 (6Part1), 2853-2862, 2015 | 50 | 2015 |
| Computerized breast cancer analysis system using three stage semi-supervised learning method W Sun, TLB Tseng, J Zhang, W Qian Computer Methods and Programs in Biomedicine 135, 77-88, 2016 | 38 | 2016 |
| A preliminary study on breast cancer risk analysis using deep neural network W Sun, TLB Tseng, B Zheng, W Qian International Workshop on Breast Imaging, 385-391, 2016 | 36 | 2016 |
| Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms W Sun, B Zheng, F Lure, T Wu, J Zhang, BY Wang, EC Saltzstein, W Qian Computerized Medical Imaging and Graphics 38 (5), 348-357, 2014 | 33 | 2014 |
| Improving the efficacy of mammography screening: the potential and challenge of developing new computer-aided detection approaches W Qian, W Sun, B Zheng Expert review of medical devices 12 (5), 497-499, 2015 | 21 | 2015 |
| Automatic lung nodule graph cuts segmentation with deep learning false positive reduction W Sun, X Huang, TLB Tseng, W Qian Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101343M, 2017 | 19 | 2017 |
| Fine-grained lung nodule segmentation with pyramid deconvolutional neural network X Zhao, W Sun, W Qian, S Qi, J Sun, B Zhang, Z Yang Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109503S, 2019 | 17 | 2019 |
| Computerized lung cancer malignancy level analysis using 3D texture features W Sun, X Huang, TL Tseng, J Zhang, W Qian Medical Imaging 2016: Computer-Aided Diagnosis 9785, 978538, 2016 | 14 | 2016 |
| Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis W Sun, B Zheng, X Huang, W Qian Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101343L, 2017 | 13 | 2017 |
| A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms W Sun, TLB Tseng, W Qian, EC Saltzstein, B Zheng, H Yu, S Zhou Computer Methods and Programs in Biomedicine 155, 29-38, 2018 | 11 | 2018 |
| A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms W Sun, TLB Tseng, B Zheng, J Zhang, W Qian Medical Imaging 2015: Computer-Aided Diagnosis 9414, 941422, 2015 | 8 | 2015 |
| Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method W Sun, TL Tseng, B Zheng, F Lure, T Wu, G Francia, S Cabrera, J Zhang, ... Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90350T, 2014 | 4 | 2014 |
| Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis W Sun | 3 | 2017 |
| Imaging marine virus CroV and its host Cafeteria roenbergensis with two-photon microscopy B Cao, S Chakraborty, W Sun, S Aghvami, MG Fischer, W Qian, C Xiao, ... Biophotonics and Immune Responses IX 8944, 89440E, 2014 | 3 | 2014 |
| A novel breast cancer risk assessment scheme design using dual view mammograms W Sun, TLB Tseng, B Zheng, J Zhang, W Qian International Workshop on Breast Imaging, 392-399, 2016 | 2 | 2016 |
| A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy W Sun, X Huang, C Li, C Xiao, W Qian Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and …, 2016 | 2 | 2016 |
