| Full 3D microwave breast imaging using a deep-learning technique V Khoshdel, M Asefi, A Ashraf, J LoVetri Journal of Imaging 6 (8), 80, 2020 | 59 | 2020 |
| Enhancement of multimodal microwave-ultrasound breast imaging using a deep-learning technique V Khoshdel, A Ashraf, J LoVetri Sensors 19 (18), 4050, 2019 | 51 | 2019 |
| sEMG-based impedance control for lower- limb rehabilitation robot V Khoshdel, A Akbarzadeh, N Naghavi, A Sharifnezhad, ... Intelligent Service Robotics 10 (40), 2017 | 44 | 2017 |
| Tissue-type classification with uncertainty quantification of microwave and ultrasound breast imaging: A deep learning approach P Mojabi, V Khoshdel, J Lovetri IEEE Access 8, 182092-182104, 2020 | 35 | 2020 |
| Voltage-based adaptive impedance force control for a lower-limb rehabilitation robot MM Fateh, V Khoshdel Advanced Robotics 29 (15), 961-971, 2015 | 34 | 2015 |
| CNN for compressibility to permittivity mapping for combined ultrasound-microwave breast imaging P Mojabi, M Hughson, V Khoshdel, I Jeffrey, J LoVetri IEEE Journal on Multiscale and Multiphysics Computational Techniques 6, 62-72, 2021 | 22 | 2021 |
| An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics V Khoshdel, A Akbarzadeh Industrial Robot: An International Journal 45 (3), 416-423, 2018 | 22 | 2018 |
| Variable Impedance Control for Rehabilitation Robot using Interval Type-2 Fuzzy Logic V Khoshdel, A Akbarzadeh, H Moeenfard International Journal of Robotics 4 (3), 46-54, 2016 | 17 | 2016 |
| A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: Stored grain application V Khoshdel, M Asefi, A Ashraf, J LoVetri Neural Computing and Applications 33, 13467-13479, 2021 | 16 | 2021 |
| A machine learning workflow for tumour detection in breasts using 3d microwave imaging K Edwards, V Khoshdel, M Asefi, J LoVetri, C Gilmore, I Jeffrey Electronics 10 (6), 674, 2021 | 14 | 2021 |
| Robust Impedance Control for Rehabilitation Robot V Khoshdel, A Akbarzadeh Modares Mechanical Engineering 15 (8), 2015 | 12 | 2015 |
| The implementation of neural networks for phaseless parametric inversion K Edwards, K Krakalovich, R Kruk, V Khoshdel, J LoVetri, C Gilmore, ... 2020 XXXIIIrd General Assembly and Scientific Symposium of the International …, 2020 | 11 | 2020 |
| Estimate Human-Force from sEMG signals for a Lower-Limb Rehabilitation Robot I Khanjani, V Khoshdel, A Akbarzadeh Tootoonchi 25th Iranian Conference on Electrical Engineering (ICEE2017), 2017 | 10 | 2017 |
| Application of statistical techniques and artificial neural network to estimate force from sEMG signals V Khoshdel, AR Akbarzadeh Journal of AI and data mining 4 (2), 135-141, 2016 | 10 | 2016 |
| Using deep learning approaches for microwave imaging V Khoshdel | 3 | 2021 |
| Adaptive fuzzy robust tracking control using human electromyogram signals for elastic joint robots M Souzanchi-K, MR Akbarzadeh-T, N Naghavi, A Sharifnezhad, ... Intell. Autom. Soft Comput 34, 279-294, 2022 | 2 | 2022 |
| Denoising diffusion probabilistic models for generating tissue type breast image dataset V Khoshdel, N Abharian, A Attar, J LoVetri 2024 4th URSI Atlantic Radio Science Meeting (AT-RASC), 1-4, 2024 | 1 | 2024 |
| Recovery of prior information for breast microwave imaging using neural networks K Edwards, V Khoshdel, M Asefi, J LoVetri, C Gilmore, I Jeffrey 2021 XXXIVth General Assembly and Scientific Symposium of the International …, 2021 | 1 | 2021 |
| Investigating the Use of Physics-Endowed Machine Learning for Pole/Residue Extraction A Attar, N Abharian, V Khoshdel, J LoVetri 2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC), 54-56, 2024 | | 2024 |
| Synthetic Microwave 3D Breast Models: A Step Forward with Denoising Diffusion Models ASP Shooshtari, N Abharian, J LoVetri, V Khoshdel 2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC), 60-62, 2024 | | 2024 |
Joe LoVetriDepartment of Electrical and Computer Engineering, University of ManitobaVerified email at umanitoba.ca
