Aleksandar Vakanski
Aleksandar Vakanski
Associate Professor, University of Idaho
Verified email at - Homepage
Cited by
Cited by
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
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
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
A data set of human body movements for physical rehabilitation exercises
A Vakanski, H Jun, D Paul, R Baker
Data 3 (1), 2, 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
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
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
Image-based trajectory robot programming planning approach
A Vakanski, F Janabi-Sharifi
US Patent 10,112,303, 2018
Machine learning methods for cancer classification using gene expression data: a review
F Alharbi, A Vakanski
Bioengineering 10 (2), 173, 2023
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
B Shareef, A Vakanski, PE Freer, M Xian
Healthcare 10 (11), 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
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
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
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
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
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
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
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
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
J Shi, A Vakanski, M Xian, J Ding, C Ning
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
Trajectory learning based on conditional random fields for robot programming by demonstration
A Vakanski, F Janabi-Sharifi, I Mantegh, A Irish
Proceedings of the IASTED International Conference on Robotics and …, 2010
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