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yunzhi wang
yunzhi wang
Research assistant of Electrical and Computer Engineering, University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
3602019
Idrid: Diabetic retinopathy–segmentation and grading challenge
P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ...
Medical image analysis 59, 101561, 2020
2282020
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
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
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
Predicting purchase decisions based on spatio-temporal functional MRI features using machine learning
Y Wang, V Chattaraman, H Kim, G Deshpande
IEEE Transactions on Autonomous Mental Development 7 (3), 248-255, 2015
292015
Experimental validation of dynamic Granger causality for inferring stimulus-evoked sub-100 ms timing differences from fMRI
Y Wang, S Katwal, B Rogers, J Gore, G Deshpande
IEEE transactions on neural systems and rehabilitation engineering 25 (6 …, 2016
272016
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation
Y Wang, B Zheng, D Gao, J Wang
2018 24th International Conference on Pattern Recognition (ICPR), 3814-3819, 2018
232018
Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions
M Tan, F Aghaei, Y Wang, B Zheng
Physics in Medicine & Biology 62 (2), 358, 2016
222016
Can Patel's τ accurately estimate directionality of connections in brain networks from fMRI?
Y Wang, O David, X Hu, G Deshpande
Magnetic resonance in medicine 78 (5), 2003-2010, 2017
182017
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction
S Yan, Y Wang, F Aghaei, Y Qiu, B Zheng
International journal of computer assisted radiology and surgery 12, 1819-1828, 2017
172017
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome
Y Wang, Y Qiu, T Thai, K Moore, H Liu, B Zheng
BMC Medical Imaging 16, 1-9, 2016
82016
Improving performance of breast cancer risk prediction by incorporating optical density image feature analysis: an assessment
S Yan, Y Wang, F Aghaei, Y Qiu, B Zheng
Academic radiology 29, S199-S210, 2022
72022
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images
Y Wang, Y Qiu, T Thai, K Moore, H Liu, B Zheng
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 886-891, 2017
12017
Supervised Learning Models of fMRI Data for Inferring Brain Function and Predicting Behavior
Y Wang
Auburn University, 2014
2014
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