default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEranga Ukwatta
Eran Ukwatta
Person information
- affiliation: University of Guelph, ON, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
