| Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng International journal of medical informatics 144, 104284, 2020 | 422 | 2020 |
| Recent advances and clinical applications of deep learning in medical image analysis X Chen, X Wang, K Zhang, KM Fung, TC Thai, K Moore, RS Mannel, H Liu, ... Medical image analysis 79, 102444, 2022 | 401 | 2022 |
| A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology Y Qiu, S Yan, RR Gundreddy, Y Wang, S Cheng, H Liu, B Zheng Journal of X-ray Science and Technology 25 (5), 751-763, 2017 | 133 | 2017 |
| Fusion of quantitative image and genomic biomarkers to improve prognosis assessment of early stage lung cancer patients N Emaminejad, W Qian, Y Guan, M Tan, Y Qiu, H Liu, B Zheng IEEE Transactions on Biomedical Engineering 63 (5), 1034-1043, 2015 | 129 | 2015 |
| A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images Y Wang, Y Qiu, T Thai, K Moore, H Liu, B Zheng Computer methods and programs in biomedicine 144, 97-104, 2017 | 128 | 2017 |
| Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm M Heidari, AZ Khuzani, AB Hollingsworth, G Danala, ... Physics in Medicine & Biology 63 (3), 035020, 2018 | 108 | 2018 |
| An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology Y Qiu, Y Wang, S Yan, M Tan, S Cheng, H Liu, B Zheng Medical Imaging 2016: Computer-Aided Diagnosis 9785, 517-522, 2016 | 93 | 2016 |
| Classification of tumor epithelium and stroma by exploiting image features learned by deep convolutional neural networks Y Du, R Zhang, A Zargari, TC Thai, CC Gunderson, KM Moxley, H Liu, ... Annals of biomedical engineering 46, 1988-1999, 2018 | 80 | 2018 |
| Applying quantitative CT image feature analysis to predict response of ovarian cancer patients to chemotherapy G Danala, T Thai, CC Gunderson, KM Moxley, K Moore, RS Mannel, H Liu, ... Academic radiology 24 (10), 1233-1239, 2017 | 55 | 2017 |
| Computer-aided classification of mammographic masses using visually sensitive image features Y Wang, F Aghaei, A Zarafshani, Y Qiu, W Qian, B Zheng Journal of X-ray Science and technology 25 (1), 171-186, 2017 | 50 | 2017 |
| Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker A Zargari, Y Du, M Heidari, TC Thai, CC Gunderson, K Moore, RS Mannel, ... Physics in Medicine & Biology 63 (15), 155020, 2018 | 49 | 2018 |
| Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis Y Qiu, M Tan, S McMeekin, T Thai, K Ding, K Moore, H Liu, B Zheng Acta Radiologica 57 (9), 1149-1155, 2016 | 41 | 2016 |
| Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study Y Qiu, S Yan, M Tan, S Cheng, H Liu, B Zheng Medical Imaging 2016: Computer-Aided Diagnosis 9785, 511-516, 2016 | 38 | 2016 |
| Transformers improve breast cancer diagnosis from unregistered multi-view mammograms X Chen, K Zhang, N Abdoli, PW Gilley, X Wang, H Liu, B Zheng, Y Qiu Diagnostics 12 (7), 1549, 2022 | 36 | 2022 |
| Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer X Chen, A Zargari, AB Hollingsworth, H Liu, B Zheng, Y Qiu Computer methods and programs in biomedicine 179, 104995, 2019 | 35 | 2019 |
| A new approach to evaluate drug treatment response of ovarian cancer patients based on deformable image registration M Tan, Z Li, Y Qiu, SD McMeekin, TC Thai, K Ding, KN Moore, H Liu, ... IEEE transactions on medical imaging 35 (1), 316-325, 2015 | 30 | 2015 |
| Improving performance of breast lesion classification using a ResNet50 model optimized with a novel attention mechanism W Islam, M Jones, R Faiz, N Sadeghipour, Y Qiu, B Zheng Tomography 8 (5), 2411-2425, 2022 | 27 | 2022 |
| Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods G Danala, SK Maryada, W Islam, R Faiz, M Jones, Y Qiu, B Zheng Bioengineering 9 (6), 256, 2022 | 26 | 2022 |
| Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients X Chen, W Liu, TC Thai, T Castellano, CC Gunderson, K Moore, ... Computer methods and programs in biomedicine 197, 105759, 2020 | 24 | 2020 |
| Evaluations of auto‐focusing methods under a microscopic imaging modality for metaphase chromosome image analysis Y Qiu, X Chen, Y Li, WR Chen, B Zheng, S Li, H Liu Analytical Cellular Pathology 36 (1-2), 37-44, 2013 | 24 | 2013 |
Bin ZhengGerald Tuma Presidential Professor of Electrical and Computer Engineering, University of Oklahoma在 ou.edu 的电子邮件经过验证
