Rahil Shahzad
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Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ...
Medical image analysis 17 (8), 859-876, 2013
Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
R Shahzad, H Kirişli, C Metz, H Tang, M Schaap, L van Vliet, W Niessen, ...
The international journal of cardiovascular imaging 29, 1847-1859, 2013
An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework
JM Wolterink, T Leiner, BD De Vos, JL Coatrieux, BM Kelm, S Kondo, ...
Medical physics 43 (5), 2361-2373, 2016
Vessel Specific Coronary Artery Calcium Scoring: An Automatic System
R Shahzad, T van Walsum, M Schaap, A Rossi, S Klein, AC Weustink, ...
Academic Radiology 20 (1), 1-9, 2012
Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach
R Shahzad, D Bos, CT Metz, A Rossi, HA Kirisli, A van der Lugt, S Klein, ...
Medical Physics 40 (9), 091910, 2013
Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer
MS Elmahdy, T Jagt, RT Zinkstok, Y Qiao, R Shahzad, H Sokooti, ...
Medical physics 46 (8), 3329-3343, 2019
Epicardial fat volume is related to atherosclerotic calcification in multiple vessel beds
D Bos, R Shahzad, T van Walsum, LJ van Vliet, OH Franco, A Hofman, ...
European Heart Journal-Cardiovascular Imaging 16 (11), 1264-1269, 2015
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning
R Shahzad, L Pennig, L Goertz, F Thiele, C Kabbasch, M Schlamann, ...
Scientific Reports 10 (1), 21799, 2020
Fully automatic segmentation of left atrium and pulmonary veins in late gadolinium‐enhanced MRI: Towards objective atrial scar assessment
Q Tao, EG Ipek, R Shahzad, FF Berendsen, S Nazarian, RJ van der Geest
Journal of magnetic resonance imaging 44 (2), 346-354, 2016
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II
S Ourselin, L Joskowicz, MR Sabuncu, G Unal, W Wells
Springer, 2016
Epicardial fat volume and the risk of atrial fibrillation in the general population free of cardiovascular disease
D Bos, MW Vernooij, R Shahzad, M Kavousi, A Hofman, T van Walsum, ...
JACC: Cardiovascular Imaging 10 (11), 1405-1407, 2017
Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans
R Shahzad, D Bos, RPJ Budde, K Pellikaan, WJ Niessen, A Van Der Lugt, ...
Physics in Medicine & Biology 62 (9), 3798, 2017
Fully automated MR detection and segmentation of brain metastases in non‐small cell lung cancer using deep learning
ST Jünger, UCI Hoyer, D Schaufler, KR Laukamp, L Goertz, F Thiele, ...
Journal of Magnetic Resonance Imaging 54 (5), 1608-1622, 2021
Automated agatston score computation in a large dataset of non ECG-gated chest computed tomography
G González, GR Washko, RSJ Estépar
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 53-57, 2016
Automated detection and segmentation of brain metastases in malignant melanoma: evaluation of a dedicated deep learning model
L Pennig, R Shahzad, L Caldeira, S Lennartz, F Thiele, L Goertz, D Zopfs, ...
American Journal of Neuroradiology 42 (4), 655-662, 2021
Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans
R Shahzad, Q Tao, O Dzyubachyk, M Staring, BPF Lelieveldt, ...
Medical image analysis 39, 44-55, 2017
Automatic stenosis detection, quantification and lumen segmentation of the coronary arteries using two-point centerline extraction scheme
R Shahzad, T van Walsum, H Kirisli, H Tang, C Metz, M Schaap, ...
Proceedings of MICCAI Workshop 3D Cardiovascular Imaging: A MICCAI …, 2012
Primary central nervous system lymphoma: clinical evaluation of automated segmentation on multiparametric MRI using deep learning
L Pennig, UCI Hoyer, L Goertz, R Shahzad, T Persigehl, F Thiele, ...
Journal of Magnetic Resonance Imaging 53 (1), 259-268, 2021
Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR scans: Combining Multi-Atlases and Level-Sets
R Shahzad, S Gao, Q Tao, O Dzyubachyk, R van der Geest
Reconstruction, Segmentation, and Analysis of Medical Images: First …, 2016
A patient-specific coronary density estimate
R Shahzad, M Schaap, T van Walsum, S Klein, AC Weustink, LJ van Vliet, ...
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on …, 2010
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