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Zachary Szentimrey
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Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images
Z Szentimrey, S de Ribaupierre, A Fenster, E Ukwatta
Medical Physics 49 (2), 1034-1046, 2022
222022
Automatic deep learning-based segmentation of neonatal cerebral ventricles from 3D ultrasound images
Z Szentimrey, S de Ribaupierre, A Fenster, E Ukwatta
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021
92021
Automated segmentation and measurement of the female pelvic floor from the mid‐sagittal plane of 3D ultrasound volumes
Z Szentimrey, G Ameri, CX Hong, RYK Cheung, E Ukwatta, A Eltahawi
Medical Physics 50 (10), 6215-6227, 2023
72023
Automated Deep Learning Segmentation of Neonatal Cerebral Lateral Ventricles from Three-Dimensional Ultrasound Images
Z Szentimrey
University of Guelph, 2021
22021
Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound
Z Szentimrey, A Al‐Hayali, S de Ribaupierre, A Fenster, E Ukwatta
Medical Physics, 2024
12024
AUTOMATIC SEGMENTATION OF PELVIC ORGANS IN 3D TRANSPERINEAL ULTRASOUND USING DEEP LEARNING
Z Szentimrey, G Ameri, C Hong, R Cheung, E Ukwatta, A Eltahawi
Continence 7, 100997, 2023
2023
Automated segmentation and measurement of the levator hiatus in 3D transperineal ultrasound
Z Szentimrey, G Ameri, RYK Cheung, A Eltahawi, E Ukwatta
Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and …, 2023
2023
Segmentation of Neonatal Cerebral Lateral Ventricles from 3D Ultrasound Images
Z Szentimrey, E Ukwatta
3D Ultrasound, 193-208, 0
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