| Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left-hand … T Trakoolwilaiwan, B Behboodi, J Lee, K Kim, JW Choi Neurophotonics 5 (1), 011008-011008, 2018 | 111 | 2018 |
| Two-stage ultrasound image segmentation using U-Net and test time augmentation M Amiri, R Brooks, B Behboodi, H Rivaz International journal of computer assisted radiology and surgery 15, 981-988, 2020 | 94 | 2020 |
| Ultrasound segmentation using U-Net: learning from simulated data and testing on real data B Behboodi, H Rivaz DOI: 10.1109/EMBC.2019.8857218, 6628 - 6631, 2019 | 28 | 2019 |
| Breast lesion segmentation in ultrasound images with limited annotated data B Behboodi, M Amiri, R Brooks, H Rivaz 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1834-1837, 2020 | 13 | 2020 |
| Deep classification of breast cancer in ultrasound images: more classes, better results with multi-task learning B Behboodi, H Rasaee, A K. Z. Tehrani, H Rivaz SPIE Medical Imaging 11602 (https://doi.org/10.1117/12.2581930), 2021 | 11 | 2021 |
| LUMINOUS database: Lumbar multifidus muscle segmentation from ultrasound images CJ Belasso, B Behboodi, H Benali, M Boily, H Rivaz, M Fortin BMC Musculoskeletal Disorders 21, 1-11, 2020 | 10 | 2020 |
| Automatic 3D ultrasound segmentation of uterus using deep learning B Behboodi, H Rivaz, S Lalondrelle, E Harris 2021 IEEE international ultrasonics symposium (IUS), 1-4, 2021 | 6 | 2021 |
| Receptive field size as a key design parameter for ultrasound image segmentation with u-net B Behboodi, M Fortin, CJ Belasso, R Brooks, H Rivaz 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
| Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy B Behboodi, SH Lim, M Luna, HA Jeon, JW Choi Journal of Near Infrared Spectroscopy 27 (3), 191-205, 2019 | 3 | 2019 |
| RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images B Behboodi, FX Carton, M Chabanas, S De Ribaupierre, O Solheim, ... arXiv preprint arXiv:2207.07494, 2022 | 2 | 2022 |
| Deep neural networks for assessing functional connectivity: an fNIRS study B Behboodi DGIST, 2018 | 1 | 2018 |
| Convolutional neural network for functional near-infrared spectroscopy in brain-computer interface T Trakoolwilaiwan, B Behboodi, JW Choi 한국통신학회 학술대회논문집, 423-424, 2017 | 1 | 2017 |
| Eye Blinks Motion Artifact Removal Using Kurtosis-based Wavelet Algorithm in Prefrontal Area B Behboodi, K Kim, JW Choi fNIRS2016 Conference, Paris, France, 2016 | | 2016 |
Hassan RivazAssociate Professor, Concordia University Research ChairVerified email at encs.concordia.ca
