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Engin Dikici
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2020 – today
- 2023
- [j6]Engin Dikici
, Xuan V. Nguyen
Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI. Comput. Biol. Medicine 159: 106901 (2023) - 2022
- [j5]Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, Luciano M. Prevedello
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI. Comput. Medical Imaging Graph. 98: 102059 (2022) - [j4]Xuan V. Nguyen, Devi D. Nelakurti
Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT. Inf. 13(9): 412 (2022) - 2021
- [j3]Richard D. White
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. J. Digit. Imaging 34(3): 554-571 (2021) - [i2]Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, John L. Ryu, Luciano M. Prevedello:
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training. CoRR abs/2111.05959 (2021) - 2020
- [j2]Engin Dikici
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J. Biomed. Health Informatics 24(10): 2883-2893 (2020) - [i1]Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta
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. CoRR abs/2008.04802 (2020)
2010 – 2019
- 2012
- [c9]Engin Dikici, Fredrik Orderud, Gabriel Kiss, Anders Thorstensen, Hans Torp:
Doo-Sabin Surface Models with Biomechanical Constraints for Kalman Filter Based Endocardial Wall Tracking in 3D+T Echocardiography. BMVC 2012: 1-11 - [c8]Engin Dikici, Sten Roar Snare, Fredrik Orderud:
Isoparametric finite element analysis for Doo-Sabin subdivision models. Graphics Interface 2012: 19-26 - [c7]Engin Dikici, Fredrik Orderud, Bo Henry Lindqvist:
Empirical Bayes estimator for endocardial edge detection in 3D+T echocardiography. ISBI 2012: 1331-1334 - [c6]Engin Dikici, Fredrik Orderud:
Generalized Step Criterion Edge Detectors for Kalman Filter Based Left Ventricle Tracking in 3D+T Echocardiography. STACOM 2012: 261-269 - [c5]Engin Dikici, Fredrik Orderud, Hans Torp:
Best linear unbiased estimator for Kalman filter based left ventricle tracking in 3D+T echocardiography. MMBIA 2012: 201-208 - 2011
- [c4]Engin Dikici, Fredrik Orderud:
Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography. MLMI 2011: 43-50 - [c3]Engin Dikici, Fredrik Orderud:
Polynomial Regression Based Edge Filtering for Left Ventricle Tracking in 3D Echocardiography. STACOM 2011: 168-177
2000 – 2009
- 2009
- [j1]Michiel Schaap, Coert Metz, Theo van Walsum
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Medical Image Anal. 13(5): 701-714 (2009) - 2005
- [c2]Thomas O'Donnell, Engin Dikici, Randolph Setser, Richard D. White
Tracking and Analysis of Cine-Delayed Enhancement MR. MICCAI (2) 2005: 692-700 - 2004
- [c1]Engin Dikici, Thomas O'Donnell, Randolph Setser, Richard D. White:
Quantification of Delayed Enhancement MR Images. MICCAI (1) 2004: 250-257
Coauthor Index
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