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Pooneh R. Tabrizi
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2020 – today
- 2022
- [c13]Pooneh R. Tabrizi, Holger R. Roth, Alison Tompsett, Athelia Rosa Paulli, Kelsey Brown
, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Craig Sable, Marius George Linguraru:
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings. MICCAI (1) 2022: 602-612 - 2021
- [c12]Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Pediatric Hydronephrosis Severity Assessment Using Convolutional Neural Networks With Standardized Ultrasound Images. ISBI 2021: 1803-1806 - [c11]Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity. MLMI@MICCAI 2021: 366-375 - 2020
- [j3]Pooneh R. Tabrizi
Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates. IEEE Trans. Biomed. Eng. 67(11): 3026-3034 (2020)
2010 – 2019
- 2019
- [c10]Pooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, Jonathan Zember, Hans G. Pohl, James Jago, Marius George Linguraru:
Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis. ISBI 2019: 1717-1720 - [c9]Pooneh R. Tabrizi, Awais Mansoor, Rawad Obeid, Anna A. Penn, Marius George Linguraru:
Cranial localization in 2D cranial ultrasound images using deep neural networks. Computer-Aided Diagnosis 2019: 1095026 - 2018
- [c8]Pooneh R. Tabrizi, Rawad Obeid, Juan J. Cerrolaza, Anna A. Penn, Awais Mansoor, Marius George Linguraru:
Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome. EMBC 2018: 3136-3139 - [c7]Pooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, James Jago, Marius George Linguraru:
Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model. ISBI 2018: 1170-1173 - [c6]Pooneh R. Tabrizi, Awais Mansoor, Elijah Biggs, James Jago, Marius George Linguraru:
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks. Computer-Aided Diagnosis 2018: 105751Z - [c5]Hadi Fooladi Talari, Pooneh R. Tabrizi, Olga Morozova, Justin Burton
Hippotherapy simulator for children with cerebral palsy. Image-Guided Procedures 2018: 105762E - 2017
- [c4]Pooneh R. Tabrizi, Rawad Obeid, Awais Mansoor, Scott Ensel, Juan J. Cerrolaza, Anna A. Penn, Marius George Linguraru:
Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage. EMBC 2017: 169-172 - [c3]Pooneh R. Tabrizi, Hongqiang Sang, Hadi F. Talari, Diego Preciado, Reza Monfaredi, Brian Reilly, Venkata Sreekanth Arikatla, Andinet Enquobahrie, Kevin Cleary:
Temporal bone dissection simulator for training pediatric otolaryngology surgeons. Image-Guided Procedures 2017: 101352O - 2016
- [j2]Pooneh R. Tabrizi, Reza Aghaeizadeh Zoroofi, Futoshi Yokota, Takashi Nishii, Yoshinobu Sato:
Shape-based acetabular cartilage segmentation: application to CT and MRI datasets. Int. J. Comput. Assist. Radiol. Surg. 11(7): 1247-1265 (2016) - 2015
- [j1]Pooneh R. Tabrizi, Reza Aghaeizadeh Zoroofi, Futoshi Yokota, Satoru Tamura, Takashi Nishii, Yoshinobu Sato:
Acetabular cartilage segmentation in CT arthrography based on a bone-normalized probabilistic atlas. Int. J. Comput. Assist. Radiol. Surg. 10(4): 433-446 (2015)
2000 – 2009
- 2009
- [c2]M. Dadgostar, Pooneh R. Tabrizi, Emad Fatemizadeh, Hamid Soltanian-Zadeh
Feature Extraction Using Gabor-Filter and Recursive Fisher Linear Discriminant with Application in Fingerprint Identification. ICAPR 2009: 217-220 - [c1]Pooneh R. Tabrizi, Reza Aghaeizadeh Zoroofi:
Drowsiness Detection Based on Brightness and Numeral Features of Eye Image. IIH-MSP 2009: 1310-1313
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