| Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster IEEE transactions on medical imaging 33 (4), 947-960, 2014 | 103 | 2014 |
| Three-dimensional ultrasound of carotid atherosclerosis: Semiautomated segmentation using a level set-based method E Ukwatta, J Awad, AD Ward, D Buchanan, J Samarabandu, G Parraga, ... Medical Physics 38, 2479, 2011 | 91 | 2011 |
| Interactive hierarchical-flow segmentation of scar tissue from late-enhancement cardiac MR images M Rajchl, J Yuan, JA White, E Ukwatta, J Stirrat, CMS Nambakhsh, FP Li, ... IEEE transactions on medical imaging 33 (1), 159-172, 2013 | 79 | 2013 |
| Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets F Zabihollahy, N Schieda, S Krishna Jeyaraj, E Ukwatta Medical physics 46 (7), 3078-3090, 2019 | 74 | 2019 |
| Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion F Zabihollahy, N Schieda, S Krishna, E Ukwatta European Radiology 30, 5183-5190, 2020 | 72 | 2020 |
| Dual optimization based prostate zonal segmentation in 3D MR images W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster Medical image analysis 18 (4), 660-673, 2014 | 72 | 2014 |
| Convolutional neural network‐based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images F Zabihollahy, JA White, E Ukwatta Medical physics 46 (4), 1740-1751, 2019 | 62 | 2019 |
| Quantitative prostate MRI N Schieda, CS Lim, F Zabihollahy, J Abreu‐Gomez, S Krishna, S Woo, ... Journal of magnetic resonance imaging 53 (6), 1632-1645, 2021 | 60 | 2021 |
| 3-D carotid multi-region MRI segmentation by globally optimal evolution of coupled surfaces E Ukwatta, J Yuan, M Rajchl, W Qiu, D Tessier, A Fenster IEEE transactions on medical imaging 32 (4), 770-785, 2013 | 58 | 2013 |
| Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net) F Zabihollahy, M Rajchl, JA White, E Ukwatta Medical physics 47 (4), 1645-1655, 2020 | 57 | 2020 |
| A voxel-based fully convolution network and continuous max-flow for carotid vessel-wall-volume segmentation from 3D ultrasound images R Zhou, F Guo, MR Azarpazhooh, JD Spence, E Ukwatta, M Ding, ... IEEE Transactions on Medical Imaging 39 (9), 2844-2855, 2020 | 56 | 2020 |
| Image‐based reconstruction of three‐dimensional myocardial infarct geometry for patient‐specific modeling of cardiac electrophysiology E Ukwatta, H Arevalo, M Rajchl, J White, F Pashakhanloo, A Prakosa, ... Medical physics 42 (8), 4579-4590, 2015 | 52 | 2015 |
| Three‐dimensional segmentation of three‐dimensional ultrasound carotid atherosclerosis using sparse field level sets E Ukwatta, J Yuan, D Buchanan, B Chiu, J Awad, W Qiu, G Parraga, ... Medical physics 40 (5), 052903, 2013 | 45 | 2013 |
| An efficient convex optimization approach to 3D prostate MRI segmentation with generic star shape prior J Yuan, W Qiu, E Ukwatta, M Rajchl, Y Sun, A Fenster Proc. Med Image Comput.-Assisted Intervent. Conf. Prostate Segment …, 2012 | 45 | 2012 |
| Myocardial infarct segmentation from magnetic resonance images for personalized modeling of cardiac electrophysiology E Ukwatta, H Arevalo, K Li, J Yuan, W Qiu, P Malamas, KC Wu, ... IEEE transactions on medical imaging 35 (6), 1408-1419, 2015 | 44 | 2015 |
| Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images Z Fatemeh, S Nicola, K Satheesh, U Eranga Medical physics 47 (9), 4032-4044, 2020 | 41 | 2020 |
| Detection of COVID-19 from chest x-ray images using transfer learning J Manokaran, F Zabihollahy, A Hamilton-Wright, E Ukwatta Journal of medical imaging 8 (S1), 017503-017503, 2021 | 40 | 2021 |
| Three‐dimensional prostate segmentation using level set with shape constraint based on rotational slices for 3D end‐firing TRUS guided biopsy W Qiu, J Yuan, E Ukwatta, D Tessier, A Fenster Medical physics 40 (7), 072903, 2013 | 38 | 2013 |
| Myocardial scar segmentation from magnetic resonance images using convolutional neural network F Zabihollahy, JA White, E Ukwatta Medical Imaging 2018: Computer-Aided Diagnosis 10575, 663-670, 2018 | 37 | 2018 |
| A Fast Global Optimization-Based Approach to Evolving Contours with Generic Shape Prior J Yuan, E Ukwatta, XC Tai, F A., and Schnorr C. UCLA Computational and Applied Mathematics Reports, 2012 | 34 | 2012 |
Aaron FensterWestern Universityایمیل تأیید شده در robarts.ca
