| A computer-aided type-II fuzzy image processing for diagnosis of meniscus tear MH Zarandi, A Khadangi, F Karimi, IB Turksen Journal of digital imaging 29 (6), 677-695, 2016 | 26 | 2016 |
| EM-net: Deep learning for electron microscopy image segmentation A Khadangi, T Boudier, V Rajagopal 2020 25th International Conference on Pattern Recognition (ICPR), 31-38, 2021 | 17 | 2021 |
| From type-2 fuzzy rate-based neural networks to social networks' behaviors A Khadangi, MHF Zarandi 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1970-1975, 2016 | 7 | 2016 |
| Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data A Khadangi, E Hanssen, V Rajagopal BMC Medical Informatics and Decision Making 19 (6), 1-14, 2019 | 6 | 2019 |
| EM-stellar: benchmarking deep learning for electron microscopy image segmentation A Khadangi, T Boudier, V Rajagopal Bioinformatics 37 (1), 97-106, 2021 | 5 | 2021 |
| Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach A Khadangi, E Hanssen, V Rajagopal 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 4 | 2018 |
| CardioVinci: building blocks for virtual cardiac cells using deep learning A Khadangi, T Boudier, V Rajagopal bioRxiv, 2021 | 1 | 2021 |
| A fuzzy system dynamics approach for evaluation of Iran's new demographic policy A Khadangi, A Ghahari, MHF Zarandi 2015 Annual Conference of the North American Fuzzy Information Processing …, 2015 | 1 | 2015 |
| The Cell Physiome: What do we need in a computational physiology framework for predicting single cell biology? V Rajagopal, S Arumugam, P Hunter, A Khadangi, J Chung, M Pan arXiv preprint arXiv:2202.13282, 2022 | | 2022 |
Vijay RajagopalSenior Lecturer, Dept. of Biomedical Engineering, The University of MelbourneVerified email at unimelb.edu.au
