Quantification of Delayed Enhancement MR Images. - Engin Dikici; Thomas O'Donnell; Randolph Setser; Richard D. White (MICCAI (1), 2004)

Tracking and Analysis of Cine-Delayed Enhancement MR. - Thomas O'Donnell; Engin Dikici; Randolph Setser; Richard D. White (MICCAI (2), 2005)

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. - Michiel Schaap; Coert Metz; Theo van Walsum; Alina G. van der Giessen; Annick C. Weustink; Nico Mollet; Christian Bauer 001; Hrvoje Bogunovic; Carlos Castro-Gonzalez; Xiang Deng; Engin Dikici; Thomas O'Donnell; et al. (Medical Image Anal., 2009)

Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography. - Engin Dikici; Fredrik Orderud (MLMI, 2011)

Polynomial Regression Based Edge Filtering for Left Ventricle Tracking in 3D Echocardiography. - Engin Dikici; Fredrik Orderud (STACOM, 2011)

Doo-Sabin Surface Models with Biomechanical Constraints for Kalman Filter Based Endocardial Wall Tracking in 3D+T Echocardiography. - Engin Dikici; Fredrik Orderud; Gabriel Kiss; Anders Thorstensen; Hans Torp (BMVC, 2012)

Isoparametric finite element analysis for Doo-Sabin subdivision models. - Engin Dikici; Sten Roar Snare; Fredrik Orderud (Graphics Interface, 2012)

Empirical Bayes estimator for endocardial edge detection in 3D+T echocardiography. - Engin Dikici; Fredrik Orderud; Bo Henry Lindqvist (ISBI, 2012)

Generalized Step Criterion Edge Detectors for Kalman Filter Based Left Ventricle Tracking in 3D+T Echocardiography. - Engin Dikici; Fredrik Orderud (STACOM, 2012)

Best linear unbiased estimator for Kalman filter based left ventricle tracking in 3D+T echocardiography. - Engin Dikici; Fredrik Orderud; Hans Torp (MMBIA, 2012)

Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. - Engin Dikici; John L. Ryu; Mutlu Demirer; Matthew T. Bigelow; Richard D. White; Wayne Slone; Barbaros Selnur Erdal; Luciano M. Prevedello (IEEE J. Biomed. Health Informatics, 2020)

Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training. - Engin Dikici; Xuan V. Nguyen; Matthew T. Bigelow; John L. Ryu; Luciano M. Prevedello (CoRR, 2021)

Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. - Richard D. White; Barbaros S. Erdal; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Engin Dikici; Sema Candemir; Mauricio S. Galizia; Jessica L. Carpenter; Thomas P. O'Donnell; Abdul H. Halabi; Luciano M. Prevedello (J. Digit. Imaging, 2021)

Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI. - Engin Dikici; Xuan V. Nguyen; Matthew T. Bigelow; Luciano M. Prevedello (Comput. Medical Imaging Graph., 2022)

Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT. - Xuan V. Nguyen; Devi D. Nelakurti; Engin Dikici; Sema Candemir; Daniel J. Boulter; Luciano M. Prevedello (Inf., 2022)

Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI. - Engin Dikici; Xuan V. Nguyen; Noah Takacs; Luciano M. Prevedello (Comput. Biol. Medicine, 2023)