| An automatic detection system of lung nodule based on multigroup patch-based deep learning network H Jiang, H Ma, W Qian, M Gao, Y Li IEEE journal of biomedical and health informatics 22 (4), 1227-1237, 2017 | 295 | 2017 |
| An interpretable ensemble deep learning model for diabetic retinopathy disease classification H Jiang, K Yang, M Gao, D Zhang, H Ma, W Qian 2019 41st annual international conference of the IEEE engineering in …, 2019 | 204 | 2019 |
| Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method X Min, M Li, D Dong, Z Feng, P Zhang, Z Ke, H You, F Han, H Ma, J Tian, ... European journal of radiology 115, 16-21, 2019 | 150 | 2019 |
| Detection and classification of pulmonary nodules using convolutional neural networks: a survey P Monkam, S Qi, H Ma, W Gao, Y Yao, W Qian Ieee Access 7, 78075-78091, 2019 | 131 | 2019 |
| Deep learning in medical ultrasound image analysis: a review Y Wang, X Ge, H Ma, S Qi, G Zhang, Y Yao IEEE Access 9, 54310-54324, 2021 | 109 | 2021 |
| Breast cancer segmentation methods: current status and future potentials E Michael, H Ma, H Li, F Kulwa, J Li BioMed research international 2021 (1), 9962109, 2021 | 106 | 2021 |
| Radiomics analysis of computed tomography helps predict poor prognostic outcome in COVID-19 Q Wu, S Wang, L Li, W Qian, Y Hu, L Li, X Zhou, H Ma, H Li, M Wang, ... Theranostics 10 (16), 7231, 2020 | 103 | 2020 |
| A review for cervical histopathology image analysis using machine vision approaches C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi, H Ma, L Zhang, H Sun Artificial Intelligence Review 53, 4821-4862, 2020 | 85 | 2020 |
| A multi-label deep learning model with interpretable Grad-CAM for diabetic retinopathy classification H Jiang, J Xu, R Shi, K Yang, D Zhang, M Gao, H Ma, W Qian 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 82 | 2020 |
| An optimized framework for breast cancer classification using machine learning E Michael, H Ma, H Li, S Qi BioMed Research International 2022 (1), 8482022, 2022 | 79 | 2022 |
| Content-based image retrieval for lung nodule classification using texture features and learned distance metric G Wei, H Cao, H Ma, S Qi, W Qian, Z Ma Journal of medical systems 42, 1-7, 2018 | 78 | 2018 |
| An assisted diagnosis system for detection of early pulmonary nodule in computed tomography images J Liu, H Jiang, M Gao, C He, Y Wang, P Wang, H Ma, Y Li Journal of medical systems 41, 1-9, 2017 | 78 | 2017 |
| Development of a deep learning model to identify lymph node metastasis on magnetic resonance imaging in patients with cervical cancer Q Wu, S Wang, S Zhang, M Wang, Y Ding, J Fang, W Qian, Z Liu, K Sun, ... JAMA network open 3 (7), e2011625-e2011625, 2020 | 75 | 2020 |
| An Effective Video Summarization Framework Toward Handheld Devices LZYXKMHMZ Shan IEEE Transactions on Industrial Electronics 62 (2), 1309-1316, 2015 | 69 | 2015 |
| Deep CNN models for pulmonary nodule classification: model modification, model integration, and transfer learning X Zhao, S Qi, B Zhang, H Ma, W Qian, Y Yao, J Sun Journal of X-ray Science and Technology 27 (4), 615-629, 2019 | 65 | 2019 |
| Differentiating axillary lymph node metastasis in invasive breast cancer patients: a comparison of radiomic signatures from multiparametric breast MR sequences R Chai, H Ma, M Xu, D Arefan, X Cui, Y Liu, L Zhang, S Wu, K Xu Journal of Magnetic Resonance Imaging 50 (4), 1125-1132, 2019 | 64 | 2019 |
| Lung nodule classification using local kernel regression models with out-of-sample extension G Wei, H Ma, W Qian, F Han, H Jiang, S Qi, M Qiu Biomedical Signal Processing and Control 40, 1-9, 2018 | 58 | 2018 |
| Cervical histopathology image classification using multilayer hidden conditional random fields and weakly supervised learning C Li, H Chen, L Zhang, N Xu, D Xue, Z Hu, H Ma, H Sun Ieee Access 7, 90378-90397, 2019 | 57 | 2019 |
| Dynamic scheduling on video transcoding for MPEG DASH in the cloud environment H Ma, B Seo, R Zimmermann Proceedings of the 5th ACM Multimedia Systems Conference, 283-294, 2014 | 57 | 2014 |
| Automatic detection of neovascularization in retinal images using extreme learning machine H Huang, H Ma, HJW van Triest, Y Wei, W Qian Neurocomputing 277, 218-227, 2018 | 35 | 2018 |
Wei Qianunknown affiliationAdresse e-mail validée de utep.edu
