| Cuffless blood pressure estimation algorithms for continuous health-care monitoring M Kachuee, MM Kiani, H Mohammadzade, M Shabany IEEE Transactions on Biomedical Engineering 64 (4), 859-869, 2016 | 579 | 2016 |
| Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time M Kachuee, MM Kiani, H Mohammadzade, M Shabany 2015 IEEE international symposium on circuits and systems (ISCAS), 1006-1009, 2015 | 340 | 2015 |
| Iterative closest normal point for 3D face recognition H Mohammadzade, D Hatzinakos IEEE transactions on pattern analysis and machine intelligence 35 (2), 381-397, 2012 | 174 | 2012 |
| Blood pressure estimation using photoplethysmogram signal and its morphological features N Hasanzadeh, MM Ahmadi, H Mohammadzade IEEE Sensors Journal 20 (8), 4300-4310, 2019 | 97 | 2019 |
| Projection into expression subspaces for face recognition from single sample per person H Mohammadzade, D Hatzinakos IEEE Transactions on Affective Computing 4 (1), 69-82, 2012 | 71 | 2012 |
| Fisherposes for human action recognition using kinect sensor data B Ghojogh, H Mohammadzade, M Mokari IEEE Sensors Journal 18 (4), 1612-1627, 2017 | 49 | 2017 |
| Alzheimer’s disease early diagnosis using manifold-based semi-supervised learning M Khajehnejad, F Habibollahi Saatlou, H Mohammadzade Brain sciences 7 (8), 109, 2017 | 39 | 2017 |
| Dynamic time warping-based features with class-specific joint importance maps for action recognition using Kinect depth sensor H Mohammadzade, S Hosseini, MR Rezaei-Dastjerdehei, M Tabejamaat IEEE Sensors Journal 21 (7), 9300-9313, 2021 | 25 | 2021 |
| Recognizing involuntary actions from 3D skeleton data using body states M Mokari, H Mohammadzade, B Ghojogh arXiv preprint arXiv:1708.06227, 2017 | 23 | 2017 |
| An efficient hardware implementation for a motor imagery brain computer interface system A Malekmohammadi, H Mohammadzade, A Chamanzar, M Shabany, ... Scientia Iranica 26 (Special Issue on: Socio-Cognitive Engineering), 72-94, 2019 | 22 | 2019 |
| Simultaneous joint and object trajectory templates for human activity recognition from 3-D data S Ghodsi, H Mohammadzade, E Korki Journal of Visual Communication and Image Representation 55, 729-741, 2018 | 19 | 2018 |
| Gpu-based acceleration of deep convolutional neural networks on mobile platforms SSL Oskouei, H Golestani, M Kachuee, M Hashemi, H Mohammadzade, ... Distrib. Parallel Clust. Comput, 2015 | 19 | 2015 |
| ECG for blind identity verification in distributed systems J Gao, F Agrafioti, H Mohammadzade, D Hatzinakos 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 15 | 2011 |
| An expression transformation for improving the recognition of expression-variant faces from one sample image per person H Mohammadzade, D Hatzinakos 2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010 | 15 | 2010 |
| Critical object recognition in millimeter-wave images with robustness to rotation and scale H Mohammadzade, B Ghojogh, S Faezi, M Shabany JOSA A 34 (6), 846-855, 2017 | 13 | 2017 |
| Sparseness embedding in bending of space and time; a case study on unsupervised 3D action recognition H Mohammadzade, M Tabejamaat Journal of Visual Communication and Image Representation 66, 102691, 2020 | 12 | 2020 |
| Pixel-level alignment of facial images for high accuracy recognition using ensemble of patches H Mohammadzade, A Sayyafan, B Ghojogh JOSA A 35 (7), 1149-1159, 2018 | 12 | 2018 |
| A fusion-based gender recognition method using facial images B Ghojogh, SB Shouraki, H Mohammadzade, E Iranmehr Electrical Engineering (ICEE), Iranian Conference on, 1493-1498, 2018 | 12 | 2018 |
| Dtw-merge: A novel data augmentation technique for time series classification M Akyash, H Mohammadzade, H Behroozi arXiv preprint arXiv:2103.01119, 2021 | 8 | 2021 |
| Tree-based optimization: A meta-algorithm for metaheuristic optimization B Ghojogh, S Sharifian, H Mohammadzade arXiv preprint arXiv:1809.09284, 2018 | 8 | 2018 |
Mahdi ShabanyElectrical Engineering Department, Sharif University of Technology在 sharif.edu 的电子邮件经过验证
