| A deep learning framework for assessing physical rehabilitation exercises Y Liao, A Vakanski, M Xian IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (2 …, 2020 | 200 | 2020 |
| Trajectory learning for robot programming by demonstration using hidden Markov model and dynamic time warping A Vakanski, I Mantegh, A Irish, F Janabi-Sharifi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 177 | 2012 |
| Attention-enriched deep learning model for breast tumor segmentation in ultrasound images A Vakanski, M Xian, PE Freer Ultrasound in medicine & biology 46 (10), 2819-2833, 2020 | 166 | 2020 |
| A data set of human body movements for physical rehabilitation exercises A Vakanski, H Jun, D Paul, R Baker Data 3 (1), 2, 2018 | 123 | 2018 |
| A review of computational approaches for evaluation of rehabilitation exercises Y Liao, A Vakanski, M Xian, D Paul, R Baker Computers in biology and medicine 119, 103687, 2020 | 103 | 2020 |
| Stan: Small tumor-aware network for breast ultrasound image segmentation B Shareef, M Xian, A Vakanski 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1-5, 2020 | 98 | 2020 |
| Machine learning methods for cancer classification using gene expression data: A review F Alharbi, A Vakanski Bioengineering 10 (2), 173, 2023 | 79 | 2023 |
| A secure architecture for IoT with supply chain risk management RE Hiromoto, M Haney, A Vakanski The 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017 | 76 | 2017 |
| Image-based trajectory robot programming planning approach A Vakanski, F Janabi-Sharifi US Patent 10,112,303, 2018 | 69 | 2018 |
| ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation B Shareef, A Vakanski, PE Freer, M Xian Healthcare 10 (11), 2022 | 55 | 2022 |
| Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection S Butte, A Vakanski, K Duellman, H Wang, A Mirkouei Agronomy Journal 113 (5), 3991–4002, 2021 | 53 | 2021 |
| Bending loss regularized network for nuclei segmentation in histopathology images H Wang, M Xian, A Vakanski 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020 | 36 | 2020 |
| Mathematical modeling and evaluation of human motions in physical therapy using mixture density neural networks A Vakanski, JM Ferguson, S Lee Journal of Physiotherapy & Physical Rehabilitation 1 (4), 2016 | 35 | 2016 |
| Generative adversarial networks for generation and classification of physical rehabilitation movement episodes L Li, A Vakanski International journal of machine learning and computing 8 (5), 428, 2018 | 22 | 2018 |
| An image-based trajectory planning approach for robust robot programming by demonstration A Vakanski, F Janabi-Sharifi, I Mantegh Robotics and Autonomous Systems 98, 241-257, 2017 | 21 | 2017 |
| Ta-net: Topology-aware network for gland segmentation H Wang, M Xian, A Vakanski Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 19 | 2022 |
| Sharp-gan: Sharpness loss regularized gan for histopathology image synthesis S Butte, H Wang, M Xian, A Vakanski 2022 IEEE 19th International symposium on biomedical imaging (ISBI), 1-5, 2022 | 18 | 2022 |
| Assessment of physical rehabilitation movements through dimensionality reduction and statistical modeling C Williams, A Vakanski, S Lee, D Paul Medical Engineering & Physics 74, 13-22, 2019 | 18 | 2019 |
| BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images B Zhang, A Vakanski, M Xian 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 17 | 2021 |
| Metrics for performance evaluation of patient exercises during physical therapy A Vakanski, JM Ferguson, S Lee International Journal of Physical Medicine and Rehabilitation 5 (3), 2017 | 17 | 2017 |
Min Xian (鲜敏)Department of Computer Science, University of IdahoVerified email at uidaho.edu
