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 | 370 | 2019 |
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 | 232 | 2020 |
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 | 129 | 2017 |
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 | 129 | 2017 |
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 | 94 | 2016 |
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 |
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 | 29 | 2015 |
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 | 27 | 2016 |
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 | 24 | 2018 |
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 | 22 | 2016 |
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 | 18 | 2017 |
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 | 17 | 2017 |
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 | 8 | 2016 |
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 | 7 | 2022 |
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 | 1 | 2017 |
Supervised Learning Models of fMRI Data for Inferring Brain Function and Predicting Behavior Y Wang Auburn University, 2014 | | 2014 |