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ORCIDEranga Ukwatta
Eran Ukwatta
Person information
- affiliation: University of Guelph, ON, Canada
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2020 – today
- 2024
[j14]Rohini Gaikar
, Azar Azad, Nicola Schieda, Eranga Ukwatta:
Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI. IEEE Access 12: 112714-112728 (2024)- [c46]Afsoon Khodaee, Adrian D. C. Chan, Eranga Ukwatta, Shannon Bainbridge:
Classification of Whole Slide Imagesfor the Presence of Maternal Vascular Malperfusion Lesions Using Attention-Based, Weakly Supervised Deep Learning. I2MTC 2024: 1-6 - 2023
- [c45]Jenita Manokaran, Julio Garcia Flores, Eranga Ukwatta:
Fully automated aortic segmentation of 3D phase-contrast magnetic resonance angiography images using deep learning techniques. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c44]Zachary Szentimrey, Golafsoun Ameri, Rachel Y. K. Cheung, Ahmed Eltahawi, Eranga Ukwatta:
Automated segmentation and measurement of the levator hiatus in 3D transperineal ultrasound. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c43]Rohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta:
Fully automated cascaded approach for renal mass detection on T2 weighted MRI images. Medical Imaging: Computer-Aided Diagnosis 2023 - [i1]Peyman Tahghighi, Nicole Norena, Eran Ukwatta, Ryan B. Appleby, Amin Komeili:
Automatic Classification of Symmetry of Hemithoraces in Canine and Feline Radiographs. CoRR abs/2302.12923 (2023) - 2022
- [j13]Mingquan Lin, Mingjie Jiang, Mingbo Zhao, Eranga Ukwatta, James A. White, Bernard Chiu:
Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images. IEEE J. Biomed. Health Informatics 26(6): 2582-2593 (2022) - [c42]Afsoon Khodaee, David Grynspan, Shannon Bainbridge, Eranga Ukwatta, Adrian D. C. Chan:
Automatic Placental Distal Villous Hypoplasia Scoring using a Deep Convolutional Neural Network Regression Model. I2MTC 2022: 1-5 - [c41]Nadia A. Farrag, Sathvik Bhagavan, David Sebben, Poojani Ruwanpura, James A. White, Eranga Ukwatta:
Automated myocardial segmentation of extra-cellular volume mapping cardiac magnetic resonance images using fully convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c40]Rohini Gaikar, Fatemeh Zabihollahy, Nadia A. Farrag, Mohamed W. Elfaal, Nicola Schieda, Eranga Ukwatta:
Transfer learning based fully automated kidney segmentation on MR images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [j12]Alexander James Fernandes, Yuu Ono, Eranga Ukwatta:
Evaluation of Finger Flexion Classification at Reduced Lateral Spatial Resolutions of Ultrasound. IEEE Access 9: 24105-24118 (2021) - [c39]Ahmed Alzahrani, Jila Hosseinkhani, Sreeraman Rajan, Eranga Ukwatta:
Reducing Motion Impact on Video Magnification Using Wavelet Transform and Principal Component Analysis for Heart Rate Estimation. I2MTC 2021: 1-6 - [c38]Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eran Ukwatta:
Deep learning-based detection of COVID-19 from chest x-ray images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c37]Zachary Szentimrey, Sandrine de Ribaupierre, Aaron Fenster, Eranga Ukwatta:
Automatic deep learning-based segmentation of neonatal cerebral ventricles from 3D ultrasound images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [j11]Fatemeh Zabihollahy, Nicola Schieda, Eranga Ukwatta:
Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images. IEEE Access 8: 8595-8602 (2020) - [j10]Ran Zhou, Fumin Guo, M. Reza Azarpazhooh, John David Spence, Eranga Ukwatta, Mingyue Ding, Aaron Fenster:
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images. IEEE Trans. Medical Imaging 39(9): 2844-2855 (2020)
2010 – 2019
- 2019
- [j9]Jinny Lee, Rebecca E. Thornhill, Pablo Nery, Robert A. deKemp, Elena Peña, David Birnie, Andy Adler, Eranga Ukwatta:
Left atrial imaging and registration of fibrosis with conduction voltages using LGE-MRI and electroanatomical mapping. Comput. Biol. Medicine 111 (2019) - [j8]Sina Salsabili, Anika Mukherjee, Eranga Ukwatta, Adrian D. C. Chan, Shannon Bainbridge, David Grynspan:
Automated segmentation of villi in histopathology images of placenta. Comput. Biol. Medicine 113 (2019) - [c36]Nadia A. Farrag, James A. White, Eranga Ukwatta:
Semi-automated myocardial segmentation of T1-mapping cardiovascular magnetic resonance images using deformable non-rigid registration from CINE images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531C - [c35]Fatemeh Zabihollahy, Aidan Lochbihler, Eranga Ukwatta:
Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095308 - [c34]C. Wang, Martin Rajchl, Adrian D. C. Chan, Eranga Ukwatta:
An ensemble of U-Net architecture variants for left atrial segmentation. Medical Imaging: Computer-Aided Diagnosis 2019: 109500M - [c33]Fatemeh Zabihollahy, James A. White, Eranga Ukwatta:
Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model. Medical Imaging: Computer-Aided Diagnosis 2019: 109503C - [c32]Fatemeh Zabihollahy, Eranga Ukwatta:
Fully-automated segmentation of optic disk from retinal images using deep learning techniques. Medical Imaging: Computer-Aided Diagnosis 2019: 1095032 - [c31]Conor McKeen, Fatemeh Zabihollahy, Jinu Kurian, Adrian D. C. Chan, Dina El Demellawy, Eranga Ukwatta:
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens. Medical Imaging: Digital Pathology 2019: 109560P - 2018
- [c30]Bruno Machado Trindade, Eranga Ukwatta, Mike Spence, Chris Pawlowicz:
Segmentation of Integrated Circuit Layouts from Scan Electron Microscopy Images. CCECE 2018: 1-4 - [c29]Fatma Usta, Wail Gueaieb, James A. White, Conor McKeen, Eranga Ukwatta:
Comparison of myocardial scar geometries generated from 2D and 3D LGE MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780K - [c28]Fatma Usta, Wail Gueaieb, James A. White, Eranga Ukwatta:
3D scar segmentation from LGE-MRI using a continuous max-flow method. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780U - [c27]Fatemeh Zabihollahy, James A. White, Eranga Ukwatta:
Myocardial scar segmentation from magnetic resonance images using convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 105752Z - [c26]Eranga Ukwatta, Plamen Nikolov, Natalia A. Trayanova, Graham A. Wright:
Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy. MICCAI (2) 2018: 446-454 - 2016
- [j7]Eranga Ukwatta, Hermenegild Arevalo, Kristina Li, Jing Yuan, Wu Qiu, Peter Malamas, Katherine C. Wu, Natalia A. Trayanova, Fijoy Vadakkumpadan:
Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology. IEEE Trans. Medical Imaging 35(6): 1408-1419 (2016) - 2015
- [j6]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Bernard Chiu, Aaron Fenster:
Joint segmentation of lumen and outer wall from femoral artery MR images: Towards 3D imaging measurements of peripheral arterial disease. Medical Image Anal. 26(1): 120-132 (2015) - [c25]Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior. MICCAI (3) 2015: 89-96 - [c24]Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization. MICCAI (3) 2015: 476-483 - [c23]Eranga Ukwatta, Martin Rajchl, James A. White, Farhad Pashakhanloo, Daniel A. Herzka, Elliot R. McVeigh, Albert C. Lardo, Natalia A. Trayanova, Fijoy Vadakkumpadan:
Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications. Medical Imaging: Image Processing 2015: 94132W - 2014
- [j5]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Dual optimization based prostate zonal segmentation in 3D MR images. Medical Image Anal. 18(4): 660-673 (2014) - [j4]Martin Rajchl, Jing Yuan, James A. White, Eranga Ukwatta, John Stirrat, Cyrus M. S. Nambakhsh, Feng P. Li, Terry M. Peters:
Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images. IEEE Trans. Medical Imaging 33(1): 159-172 (2014) - [j3]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images. IEEE Trans. Medical Imaging 33(4): 947-960 (2014) - [c22]Wu Qiu, Jing Yuan, Jessica Kishimoto, Sandrine de Ribaupierre, Eranga Ukwatta, Aaron Fenster:
Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images. ISBI 2014: 1222-1225 - [c21]Wu Qiu, Jing Yuan, Martin Rajchl, Jessica Kishimoto, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization. CARE@MICCAI 2014: 46-54 - [c20]Eranga Ukwatta, Jing Yuan, Wu Qiu, Katherine C. Wu, Natalia A. Trayanova, Fijoy Vadakkumpadan:
Myocardial Infarct Segmentation and Reconstruction from 2D Late-Gadolinium Enhanced Magnetic Resonance Images. MICCAI (2) 2014: 554-561 - [c19]Wu Qiu, Martin Rajchl, Fumin Guo, Yue Sun, Eranga Ukwatta, Aaron Fenster, Jing Yuan:
3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior. MICCAI (1) 2014: 796-803 - [c18]Martin Rajchl, Kamyar Abhari, John Stirrat, Eranga Ukwatta, Diego Cantor, Feng P. Li, Terry M. Peters, James A. White:
Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials. Medical Imaging: Image-Guided Procedures 2014: 90361V - [p1]Eranga Ukwatta, Aaron Fenster:
Segmentation of the Carotid Arteries from 3D Ultrasound Images. Advanced Computational Approaches to Biomedical Engineering 2014: 131-157 - 2013
- [j2]Eranga Ukwatta, Jing Yuan, Martin Rajchl, Wu Qiu, David Tessier, Aaron Fenster:
3-D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces. IEEE Trans. Medical Imaging 32(4): 770-785 (2013) - [c17]Jing Yuan, Wu Qiu, Martin Rajchl, Eranga Ukwatta, Xue-Cheng Tai, Aaron Fenster:
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry. CVPR 2013: 2211-2218 - [c16]Jing Yuan, Eranga Ukwatta, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai, Aaron Fenster:
Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. EMMCVPR 2013: 12-25 - [c15]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization. IPMI 2013: 304-315 - [c14]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior. MICCAI (2) 2013: 198-205 - [c13]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Bernard Chiu, Shadi Shavakh, Jianrong Xu, Aaron Fenster:
Joint Segmentation of 3D Femoral Lumen and Outer Wall Surfaces from MR Images. MICCAI (1) 2013: 534-541 - [c12]Wu Qiu, Jing Yuan, Jessica Kishimoto, Eranga Ukwatta, Aaron Fenster:
Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization. MICCAI (3) 2013: 559-566 - [c11]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Aaron Fenster:
Efficient convex optimization-based curvature dependent contour evolution approach for medical image segmentation. Medical Imaging: Image Processing 2013: 866902 - [c10]Wu Qiu, Jing Yuan, Eranga Ukwatta, David Tessier, Aaron Fenster:
Prostate segmentation in 3D TRUS using convex optimization with shape constraint. Medical Imaging: Image Processing 2013: 866943 - 2012
- [j1]Eranga Ukwatta, Jagath Samarabandu, Mike Hall:
Machine vision system for automated spectroscopy. Mach. Vis. Appl. 23(1): 111-121 (2012) - [c9]Martin Rajchl, Jing Yuan, Eranga Ukwatta, Terry M. Peters:
Fast interactive multi-region cardiac segmentation with linearly ordered labels. ISBI 2012: 1409-1412 - [c8]Eranga Ukwatta, Joseph Awad, Daniel Buchanan, Grace Parraga, Aaron Fenster:
Three-dimensional semi-automated segmentation of carotid atherosclerosis from three-dimensional ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2012: 83150O - [c7]Eranga Ukwatta, Jing Yuan, Martin Rajchl, Aaron Fenster:
Efficient Global Optimization Based 3D Carotid AB-LIB MRI Segmentation by Simultaneously Evolving Coupled Surfaces. MICCAI (3) 2012: 377-384 - [c6]Wu Qiu, Jing Yuan, Eranga Ukwatta, David Tessier, Aaron Fenster:
Rotational-Slice-Based Prostate Segmentation Using Level Set with Shape Constraint for 3D End-Firing TRUS Guided Biopsy. MICCAI (1) 2012: 537-544 - [c5]Martin Rajchl, Jing Yuan, James A. White, Cyrus M. S. Nambakhsh, Eranga Ukwatta, Feng Li, John Stirrat, Terry M. Peters:
A Fast Convex Optimization Approach to Segmenting 3D Scar Tissue from Delayed-Enhancement Cardiac MR Images. MICCAI (1) 2012: 659-666 - 2011
- [c4]Eranga Ukwatta, Joseph Awad, Aaron D. Ward, Daniel Buchanan, Grace Parraga, Aaron Fenster:
Coupled level set approach to segment carotid arteries from 3D ultrasound images. ISBI 2011: 37-40 - [c3]Eranga Ukwatta, Joseph Awad, Aaron D. Ward, Jagath Samarabandu, A. Krasinski, Grace Parraga, Aaron Fenster:
Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2011: 79630G
2000 – 2009
- 2009
- [c2]Eranga Ukwatta, Jagath Samarabandu:
Vision Based Metal Spectral Analysis Using Multi-label Classification. CRV 2009: 132-139 - 2008
- [c1]Eranga Ukwatta, Ranga Rodrigo, Jagath Samarabandu, Mike Hall:
Vision Based Spectroscopy Simulation. CRV 2008: 363-368
Coauthor Index
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