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Yuchen Qiu
Yuchen Qiu
Associate Professor, The School of Electrical & Computer Engineering, The University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
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
3822020
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
2992022
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
1292017
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
1292017
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
1242015
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
1062018
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
942016
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
782018
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
552017
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
502017
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
482018
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
422016
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
382016
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
342019
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
282015
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
242022
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
242022
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
242013
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
232020
Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features
MA Jones, R Faiz, Y Qiu, B Zheng
Physics in Medicine & Biology 67 (5), 054001, 2022
222022
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