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Bahareh Behboodi

Showing results (1-10 of 7) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Ultrasound segmentation using U-Net: learning from simulated data and testing on real dataBahareh Behboodi, Hassan Rivaz
International Journal of Computer Assisted Radiology and Surgery|May 1, 2020
Two-stage ultrasound image segmentation using U-Net and test time augmentationMina Amiri, Rupert Brooks, Bahareh Behboodi, et al.
IEEE Open Journal of Engineering in Medicine and Biology|July 10, 2025
Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia AssessmentHamza Rasaee, Maryia Samuel, Bahareh Behboodi, et al.
Neurophotonics|September 20, 2017
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: three-class classification of rest, right-, and left-hand motor executionThanawin Trakoolwilaiwan, Bahareh Behboodi, Jaeseok Lee, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-NetBahareh Behboodi, Maryse Fortin, Clyde J Belasso, et al.
BMC Musculoskeletal Disorders|October 24, 2020
LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound imagesClyde J Belasso, Bahareh Behboodi, Habib Benali, et al.
Medical Physics|July 24, 2024
Open access segmentations of intraoperative brain tumor ultrasound imagesBahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Ultrasound segmentation using U-Net: learning from simulated data and testing on real dataBahareh Behboodi, Hassan Rivaz
International Journal of Computer Assisted Radiology and Surgery|May 1, 2020
Two-stage ultrasound image segmentation using U-Net and test time augmentationMina Amiri, Rupert Brooks, Bahareh Behboodi, et al.
IEEE Open Journal of Engineering in Medicine and Biology|July 10, 2025
Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia AssessmentHamza Rasaee, Maryia Samuel, Bahareh Behboodi, et al.
Neurophotonics|September 20, 2017
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: three-class classification of rest, right-, and left-hand motor executionThanawin Trakoolwilaiwan, Bahareh Behboodi, Jaeseok Lee, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-NetBahareh Behboodi, Maryse Fortin, Clyde J Belasso, et al.
BMC Musculoskeletal Disorders|October 24, 2020
LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound imagesClyde J Belasso, Bahareh Behboodi, Habib Benali, et al.
Medical Physics|July 24, 2024
Open access segmentations of intraoperative brain tumor ultrasound imagesBahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas, et al.
Pageof 1