| Open/closed eye analysis for drowsiness detection PR Tabrizi, RA Zoroofi 2008 first workshops on image processing theory, tools and applications, 1-7, 2008 | 68 | 2008 |
| Using PCA and LVQ Neural Network for Automatic Recognition of Five Types of White Blood Cells YMJ Tabrizi PR, Rezatofighi SH Engineering in Medicine and Biology Society (EMBC2010), 5593-6, 2010 | 57* | 2010 |
| Early detection of ureteropelvic junction obstruction using signal analysis and machine learning: a dynamic solution to a dynamic problem ES Blum, AR Porras, E Biggs, PR Tabrizi, RD Sussman, BM Sprague, ... The Journal of Urology 199 (3), 847-852, 2018 | 54 | 2018 |
| Drowsiness detection based on brightness and numeral features of eye image PR Tabrizi, RA Zoroofi 2009 Fifth International Conference on Intelligent Information Hiding and …, 2009 | 42 | 2009 |
| Feature extraction using Gabor-filter and recursive fisher linear discriminant with application in fingerprint identification M Dadgostar, PR Tabrizi, E Fatemizadeh, H Soltanian-Zadeh 2009 seventh international conference on advances in pattern recognition …, 2009 | 23 | 2009 |
| Using artificial intelligence for rheumatic heart disease detection by echocardiography: Focus on mitral regurgitation K Brown, P Roshanitabrizi, J Rwebembera, E Okello, A Beaton, ... Journal of the American Heart Association 13 (2), e031257, 2024 | 18 | 2024 |
| Automatic Kidney Segmentation in 3D Pediatric Ultrasound Images using Deep Neural Networks and Weighted Fuzzy Active Shape Model MGL Pooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, James Jago 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 1170-3, 2018 | 17 | 2018 |
| Ultrasound-based phenotyping of lateral ventricles to predict hydrocephalus outcome in premature neonates PR Tabrizi, A Mansoor, R Obeid, JJ Cerrolaza, DA Perez, J Zember, ... IEEE Transactions on Biomedical Engineering 67 (11), 3026-3034, 2020 | 16 | 2020 |
| Chest X‐ray lung imaging features in pediatric COVID‐19 and comparison with viral lower respiratory infections in young children G Nino, J Molto, H Aguilar, J Zember, R Sanchez‐Jacob, CT Diez, ... Pediatric Pulmonology 56 (12), 3891-3898, 2021 | 15 | 2021 |
| Ensembled prediction of rheumatic heart disease from ungated doppler echocardiography acquired in low-resource settings P Roshanitabrizi, HR Roth, A Tompsett, AR Paulli, K Brown, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
| Ventricular shape evaluation on early ultrasound predicts post-hemorrhagic hydrocephalus R Obeid, PR Tabrizi, A Mansoor, JJ Cerrolaza, T Chang, AA Penn, ... Pediatric research 85 (3), 293-298, 2019 | 9 | 2019 |
| Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage PR Tabrizi, R Obeid, A Mansoor, S Ensel, JJ Cerrolaza, A Penn, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 9 | 2017 |
| Frequency-Based Maternal Electrocardiogram Attenuation for FetalElectrocardiogram Analysis MTDRG Pooneh Roshanitabrizi, Anita Krishnan, Catherine Ingbar, Tyler ... Annals of Biomedical Engineering, 2022 | 8 | 2022 |
| Pilot study of the potential of 3D ultrasound to measure tonsillar volume and hypertrophy D Chung, A Bandarkar, MS Rana, PR Tabrizi, D Preciado, J Jago, ... International Journal of Pediatric Otorhinolaryngology 126, 109612, 2019 | 8 | 2019 |
| Acetabular cartilage segmentation in CT arthrography based on a bone-normalized probabilistic atlas PR Tabrizi, RA Zoroofi, F Yokota, S Tamura, T Nishii, Y Sato International journal of computer assisted radiology and surgery 10, 433-446, 2015 | 8 | 2015 |
| Automatic segmentation of neonatal ventricles from cranial ultrasound for prediction of intraventricular hemorrhage outcome PR Tabrizi, R Obeid, JJ Cerrolaza, A Penn, A Mansoor, MG Linguraru 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 7 | 2018 |
| Shape-based acetabular cartilage segmentation: application to CT and MRI datasets PR Tabrizi, RA Zoroofi, F Yokota, T Nishii, Y Sato International journal of computer assisted radiology and surgery 11, 1247-1265, 2016 | 6 | 2016 |
| Standardized analysis of kidney ultrasound images for the prediction of pediatric hydronephrosis severity P Roshanitabrizi, J Zember, BM Sprague, S Hoefer, R Sanchez-Jacob, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 5 | 2021 |
| Analysis of Mitral Regurgitation Jet for Rheumatic Heart Disease Detection in Doppler Echocardiography P Roshanitabrizi, K Brown, A Tompsett, AR Paulli, J Rwebembera, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
| Automatic segmentation of the renal collecting system in 3D pediatric ultrasound to assess the severity of hydronephrosis PR Tabrizi, A Mansoor, JJ Cerrolaza, J Zember, HG Pohl, J Jago, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 4 | 2019 |
Futoshi YokotaNara Institute of Science and TechnologyEmail được xác minh tại is.naist.jp
