Vision Based Spectroscopy Simulation. - Eranga Ukwatta; Ranga Rodrigo; Jagath Samarabandu; Mike Hall (CRV, 2008)

Vision Based Metal Spectral Analysis Using Multi-label Classification. - Eranga Ukwatta; Jagath Samarabandu (CRV, 2009)

Coupled level set approach to segment carotid arteries from 3D ultrasound images. - Eranga Ukwatta; Joseph Awad; Aaron D. Ward; Daniel Buchanan; Grace Parraga; Aaron Fenster (ISBI, 2011)

Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images. - Eranga Ukwatta; Joseph Awad; Aaron D. Ward; Jagath Samarabandu; A. Krasinski; Grace Parraga; Aaron Fenster (Computer-Aided Diagnosis, 2011)

Fast interactive multi-region cardiac segmentation with linearly ordered labels. - Martin Rajchl; Jing Yuan 001; Eranga Ukwatta; Terry M. Peters (ISBI, 2012)

Three-dimensional semi-automated segmentation of carotid atherosclerosis from three-dimensional ultrasound images. - Eranga Ukwatta; Joseph Awad; Daniel Buchanan; Grace Parraga; Aaron Fenster (Computer-Aided Diagnosis, 2012)

Rotational-Slice-Based Prostate Segmentation Using Level Set with Shape Constraint for 3D End-Firing TRUS Guided Biopsy. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; David Tessier; Aaron Fenster (MICCAI (1), 2012)

A Fast Convex Optimization Approach to Segmenting 3D Scar Tissue from Delayed-Enhancement Cardiac MR Images. - Martin Rajchl; Jing Yuan 001; James A. White; Cyrus M. S. Nambakhsh; Eranga Ukwatta; Feng Li; John Stirrat; Terry M. Peters (MICCAI (1), 2012)

Efficient Global Optimization Based 3D Carotid AB-LIB MRI Segmentation by Simultaneously Evolving Coupled Surfaces. - Eranga Ukwatta; Jing Yuan 001; Martin Rajchl; Aaron Fenster (MICCAI (3), 2012)

Machine vision system for automated spectroscopy. - Eranga Ukwatta; Jagath Samarabandu; Mike Hall (Mach. Vis. Appl., 2012)

Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry. - Jing Yuan 001; Wu Qiu; Martin Rajchl; Eranga Ukwatta; Xue-Cheng Tai; Aaron Fenster (CVPR, 2013)

Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. - Jing Yuan 001; Eranga Ukwatta; Wu Qiu; Martin Rajchl; Yue Sun; Xue-Cheng Tai; Aaron Fenster (EMMCVPR, 2013)

Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; Yue Sun; Martin Rajchl; Aaron Fenster (IPMI, 2013)

Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization. - Wu Qiu; Jing Yuan 001; Jessica Kishimoto; Eranga Ukwatta; Aaron Fenster (MICCAI (3), 2013)

Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; Yue Sun; Martin Rajchl; Aaron Fenster (MICCAI (2), 2013)

Joint Segmentation of 3D Femoral Lumen and Outer Wall Surfaces from MR Images. - Eranga Ukwatta; Jing Yuan 001; Wu Qiu; Martin Rajchl; Bernard Chiu; Shadi Shavakh; Jianrong Xu; Aaron Fenster (MICCAI (1), 2013)

Prostate segmentation in 3D TRUS using convex optimization with shape constraint. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; David Tessier; Aaron Fenster (Image Processing, 2013)

Efficient convex optimization-based curvature dependent contour evolution approach for medical image segmentation. - Eranga Ukwatta; Jing Yuan 001; Wu Qiu; Martin Rajchl; Aaron Fenster (Image Processing, 2013)

3-D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces. - Eranga Ukwatta; Jing Yuan 001; Martin Rajchl; Wu Qiu; David Tessier; Aaron Fenster (IEEE Trans. Medical Imaging, 2013)

Segmentation of the Carotid Arteries from 3D Ultrasound Images. - Eranga Ukwatta; Aaron Fenster (Advanced Computational Approaches to Biomedical Engineering, 2014)

Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images. - Wu Qiu; Jing Yuan 001; Jessica Kishimoto; Sandrine de Ribaupierre; Eranga Ukwatta; Aaron Fenster (ISBI, 2014)

3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior. - Wu Qiu; Martin Rajchl; Fumin Guo; Yue Sun; Eranga Ukwatta; Aaron Fenster; Jing Yuan 001 (MICCAI (1), 2014)

Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization. - Wu Qiu; Jing Yuan 001; Martin Rajchl; Jessica Kishimoto; Eranga Ukwatta; Sandrine de Ribaupierre; Aaron Fenster (CARE@MICCAI, 2014)

Myocardial Infarct Segmentation and Reconstruction from 2D Late-Gadolinium Enhanced Magnetic Resonance Images. - Eranga Ukwatta; Jing Yuan 001; Wu Qiu; Katherine C. Wu; Natalia A. Trayanova; Fijoy Vadakkumpadan (MICCAI (2), 2014)

Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials. - Martin Rajchl; Kamyar Abhari; John Stirrat; Eranga Ukwatta; Diego Cantor; Feng P. Li; Terry M. Peters; James A. White (Image-Guided Procedures, 2014)

Dual optimization based prostate zonal segmentation in 3D MR images. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; Yue Sun; Martin Rajchl; Aaron Fenster (Medical Image Anal., 2014)

Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images. - Wu Qiu; Jing Yuan 001; Eranga Ukwatta; Yue Sun; Martin Rajchl; Aaron Fenster (IEEE Trans. Medical Imaging, 2014)

Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images. - Martin Rajchl; Jing Yuan 001; James A. White; Eranga Ukwatta; John Stirrat; Cyrus M. S. Nambakhsh; Feng P. Li; Terry M. Peters (IEEE Trans. Medical Imaging, 2014)

Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior. - Wu Qiu; Jing Yuan 001; Jessica Kishimoto; Yimin Chen; Martin Rajchl; Eranga Ukwatta; Sandrine de Ribaupierre; Aaron Fenster (MICCAI (3), 2015)

Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization. - Wu Qiu; Jing Yuan 001; Jessica Kishimoto; Yimin Chen; Martin Rajchl; Eranga Ukwatta; Sandrine de Ribaupierre; Aaron Fenster (MICCAI (3), 2015)

Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications. - Eranga Ukwatta; Martin Rajchl; James A. White; Farhad Pashakhanloo; Daniel A. Herzka; Elliot R. McVeigh; Albert C. Lardo; Natalia A. Trayanova; Fijoy Vadakkumpadan (Image Processing, 2015)

Joint segmentation of lumen and outer wall from femoral artery MR images: Towards 3D imaging measurements of peripheral arterial disease. - Eranga Ukwatta; Jing Yuan 001; Wu Qiu; Martin Rajchl; Bernard Chiu; Aaron Fenster (Medical Image Anal., 2015)

Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology. - Eranga Ukwatta; Hermenegild Arevalo; Kristina Li; Jing Yuan 001; Wu Qiu; Peter Malamas; Katherine C. Wu; Natalia A. Trayanova; Fijoy Vadakkumpadan (IEEE Trans. Medical Imaging, 2016)

Segmentation of Integrated Circuit Layouts from Scan Electron Microscopy Images. - Bruno Machado Trindade; Eranga Ukwatta; Mike Spence; Chris Pawlowicz (CCECE, 2018)

Comparison of myocardial scar geometries generated from 2D and 3D LGE MRI. - Fatma Usta; Wail Gueaieb; James A. White; Conor McKeen; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

3D scar segmentation from LGE-MRI using a continuous max-flow method. - Fatma Usta; Wail Gueaieb; James A. White; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Myocardial scar segmentation from magnetic resonance images using convolutional neural network. - Fatemeh Zabihollahy; James A. White; Eranga Ukwatta (Computer-Aided Diagnosis, 2018)

Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy. - Eranga Ukwatta; Plamen Nikolov; Natalia A. Trayanova; Graham A. Wright (MICCAI (2), 2018)

Semi-automated myocardial segmentation of T1-mapping cardiovascular magnetic resonance images using deformable non-rigid registration from CINE images. - Nadia A. Farrag; James A. White; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images. - Fatemeh Zabihollahy; Aidan Lochbihler; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

An ensemble of U-Net architecture variants for left atrial segmentation. - C. Wang; Martin Rajchl; Adrian D. C. Chan; Eranga Ukwatta (Computer-Aided Diagnosis, 2019)

Fully-automated segmentation of optic disk from retinal images using deep learning techniques. - Fatemeh Zabihollahy; Eranga Ukwatta (Computer-Aided Diagnosis, 2019)

Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model. - Fatemeh Zabihollahy; James A. White; Eranga Ukwatta (Computer-Aided Diagnosis, 2019)

Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens. - Conor McKeen; Fatemeh Zabihollahy; Jinu Kurian; Adrian D. C. Chan; Dina El Demellawy; Eranga Ukwatta (Digital Pathology, 2019)

Left atrial imaging and registration of fibrosis with conduction voltages using LGE-MRI and electroanatomical mapping. - Jinny Lee; Rebecca E. Thornhill; Pablo Nery; Robert A. deKemp; Elena Peña; David Birnie; Andy Adler; Eranga Ukwatta (Comput. Biol. Medicine, 2019)

Automated segmentation of villi in histopathology images of placenta. - Sina Salsabili; Anika Mukherjee; Eranga Ukwatta; Adrian D. C. Chan; Shannon Bainbridge; David Grynspan (Comput. Biol. Medicine, 2019)

Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images. - Fatemeh Zabihollahy; Nicola Schieda; Eranga Ukwatta (IEEE Access, 2020)

A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images. - Ran Zhou 002; Fumin Guo; M. Reza Azarpazhooh; John David Spence; Eranga Ukwatta; Mingyue Ding; Aaron Fenster (IEEE Trans. Medical Imaging, 2020)

Reducing Motion Impact on Video Magnification Using Wavelet Transform and Principal Component Analysis for Heart Rate Estimation. - Ahmed Alzahrani 003; Jila Hosseinkhani; Sreeraman Rajan; Eranga Ukwatta (I2MTC, 2021)

Deep learning-based detection of COVID-19 from chest x-ray images. - Jenita Manokaran; Fatemeh Zabihollahy; Andrew Hamilton-Wright; Eran Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Automatic deep learning-based segmentation of neonatal cerebral ventricles from 3D ultrasound images. - Zachary Szentimrey; Sandrine de Ribaupierre; Aaron Fenster; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Evaluation of Finger Flexion Classification at Reduced Lateral Spatial Resolutions of Ultrasound. - Alexander James Fernandes; Yuu Ono; Eranga Ukwatta (IEEE Access, 2021)

Automatic Placental Distal Villous Hypoplasia Scoring using a Deep Convolutional Neural Network Regression Model. - Afsoon Khodaee; David Grynspan; Shannon Bainbridge; Eranga Ukwatta; Adrian D. C. Chan (I2MTC, 2022)

Automated myocardial segmentation of extra-cellular volume mapping cardiac magnetic resonance images using fully convolutional neural networks. - Nadia A. Farrag; Sathvik Bhagavan; David Sebben; Poojani Ruwanpura; James A. White; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Transfer learning based fully automated kidney segmentation on MR images. - Rohini Gaikar; Fatemeh Zabihollahy; Nadia A. Farrag; Mohamed W. Elfaal; Nicola Schieda; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images. - Mingquan Lin; Mingjie Jiang; Mingbo Zhao; Eranga Ukwatta; James A. White; Bernard Chiu (IEEE J. Biomed. Health Informatics, 2022)

Fully automated aortic segmentation of 3D phase-contrast magnetic resonance angiography images using deep learning techniques. - Jenita Manokaran; Julio Garcia Flores; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Automated segmentation and measurement of the levator hiatus in 3D transperineal ultrasound. - Zachary Szentimrey; Golafsoun Ameri; Rachel Y. K. Cheung; Ahmed Eltahawi; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Fully automated cascaded approach for renal mass detection on T2 weighted MRI images. - Rohini Gaikar; Azar Azad; Nicola Schieda; Eranga Ukwatta (Computer-Aided Diagnosis, 2023)

Automatic Classification of Symmetry of Hemithoraces in Canine and Feline Radiographs. - Peyman Tahghighi; Nicole Norena; Eran Ukwatta; Ryan B. Appleby; Amin Komeili (CoRR, 2023)

Classification of Whole Slide Imagesfor the Presence of Maternal Vascular Malperfusion Lesions Using Attention-Based, Weakly Supervised Deep Learning. - Afsoon Khodaee; Adrian D. C. Chan; Eranga Ukwatta; Shannon Bainbridge (I2MTC, 2024)

Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI. - Rohini Gaikar; Azar Azad; Nicola Schieda; Eranga Ukwatta (IEEE Access, 2024)