Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks N Golestani, M Moghaddam Nature communications 11 (1), 1551, 2020 | 155 | 2020 |
Level set method for segmentation of infrared breast thermograms N Golestani, M EtehadTavakol, EYK Ng EXCLI journal 13, 241, 2014 | 102 | 2014 |
Theoretical modeling and analysis of magnetic induction communication in wireless body area networks (WBANs) N Golestani, M Moghaddam IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology …, 2018 | 32 | 2018 |
Magnetic Induction-based Human Activity Recognition (MI-HAR) N Golestani, M Moghaddam 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2019 | 10 | 2019 |
A comparison of machine learning classifiers for human activity recognition using magnetic induction-based motion signals N Golestani, M Moghaddam 2020 14th European Conference on Antennas and Propagation (EuCAP), 1-3, 2020 | 7 | 2020 |
Improving the efficiency of magnetic induction-based wireless body area network (WBAN) N Golestani, M Moghaddam 2018 IEEE International Microwave Biomedical Conference (IMBioC), 166-168, 2018 | 6 | 2018 |
Communication system design for magnetic induction-based wireless body area network N Golestani, M Moghaddam 2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 49-50, 2017 | 6 | 2017 |
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate W Shao, S Vesal, SJC Soerensen, I Bhattacharya, N Golestani, ... Computers in Biology and Medicine 173, 108318, 2024 | 5 | 2024 |
Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks. Nat. Commun. 11 (1), 1551 (2020) N Golestani, M Moghaddam | 5 | 2020 |
Wearable magnetic induction-based approach toward 3D motion tracking N Golestani, M Moghaddam Scientific Reports 11 (1), 2021 | 3 | 2021 |
Duty-cycled, sub-GHz wake-up radio with-95dBm sensitivity and addressing capability for environmental monitoring applications AR da Silva, R Akbar, R Chen, KB Dogaheh, N Golestani, M Moghaddam, ... 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile …, 2019 | 3 | 2019 |
Performance Evaluation of Motion Tracking Methods: Magnetic Induction and HF RFID N Golestani, M Moghaddam 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2022 | 2 | 2022 |
Magnetic induction communications for wireless body area network N Golestani, M Moghaddam Proc. Nat. Radio Sci. Meeting, 2017 | 2 | 2017 |
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images N Golestani, A Wang, GR Bean, M Rusu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks N Golestani, M Moghaddam US Patent App. 16/905,735, 2020 | 1 | 2020 |
Gain analysis of in-motion magnetic inductive coupling-based systems N Golestani, M Moghaddam 2020 IEEE International Symposium on Antennas and Propagation and North …, 2020 | 1 | 2020 |
PViT-AIR: Puzzling vision transformer-based affine image registration for multi histopathology and faxitron images of breast tissue N Golestani, A Wang, G Moallem, GR Bean, M Rusu Medical image analysis 99, 103356, 2025 | | 2025 |
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team) W Shao, S Vesal, D Lim, C Li, N Golestani, A Alsinan, R Fan, G Sonn, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | | 2021 |
Author Correction: Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks N Golestani, M Moghaddam Nature Communications 11 (1), 1-1, 2020 | | 2020 |
Recent Progress and Development in Energy Efficient and Smart in situ Wireless Sensor Networks: SoilSCAPE R Akbar, A Silva, RH Chen, N Golestani, K Bakian Dogaheh, A Kannan, ... AGU Fall Meeting Abstracts 2019, IN23C-20, 2019 | | 2019 |