Marly van Assen
Marly van Assen
Verified email at emory.edu
Title
Cited by
Cited by
Year
Machine learning in cardiac CT: basic concepts and contemporary data
G Singh, SJ Al’Aref, M Van Assen, TS Kim, A van Rosendael, KK Kolli, ...
Journal of cardiovascular computed tomography 12 (3), 192-201, 2018
342018
Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia
PL von Knebel Doeberitz, CN De Cecco, UJ Schoepf, TM Duguay, ...
European radiology 29 (5), 2378-2387, 2019
182019
Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis
R Van Dijk, M Van Assen, R Vliegenthart, GH De Bock, P Van Der Harst, ...
Journal of Cardiovascular Magnetic Resonance 19 (1), 92, 2017
162017
Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease
M van Assen, CN De Cecco, M Eid, P von Knebel Doeberitz, ...
Journal of cardiovascular computed tomography 13 (3), 26-33, 2019
112019
Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model
GJ Pelgrim, M Das, S van Tuijl, M van Assen, FW Prinzen, M Stijnen, ...
The international journal of cardiovascular imaging 33 (11), 1821-1830, 2017
82017
Dual-energy CT of the heart current and future status
MH Albrecht, CN De Cecco, UJ Schoepf, A Spandorfer, M Eid, ...
European journal of radiology 105, 110-118, 2018
72018
Automated plaque analysis for the prognostication of major adverse cardiac events
M van Assen, A Varga-Szemes, UJ Schoepf, TM Duguay, HT Hudson, ...
European journal of radiology 116, 76-83, 2019
62019
Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: a multi-center study and meta-analysis
CX Tang, YN Wang, F Zhou, UJ Schoepf, M van Assen, RE Stroud, JH Li, ...
European journal of radiology 116, 90-97, 2019
62019
Extracellular volume quantitation using dual-energy CT in patients with heart failure: comparison with 3T cardiac MR
R Wang, X Liu, UJ Schoepf, M van Assen, I Alimohamed, LP Griffith, T Luo, ...
International journal of cardiology 268, 236-240, 2018
62018
Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements
M van Assen, GJ Pelgrim, E Slager, S van Tuijl, UJ Schoepf, ...
The international journal of cardiovascular imaging 35 (3), 539-547, 2019
52019
Disagreement between splenic switch-off and myocardial T1-mapping after caffeine intake
D Kuijpers, R van Dijk, M van Assen, TAM Kaandorp, PRM van Dijkman, ...
The international journal of cardiovascular imaging 34 (4), 625-632, 2018
52018
Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome
PL von Knebel Doeberitz, CN De Cecco, UJ Schoepf, MH Albrecht, ...
The American journal of cardiology 124 (9), 1340-1348, 2019
42019
T1 reactivity as an imaging biomarker in myocardial tissue characterization discriminating normal, ischemic and infarcted myocardium
M van Assen, R van Dijk, D Kuijpers, R Vliegenthart, M Oudkerk
The international journal of cardiovascular imaging 35 (7), 1319-1325, 2019
42019
Feasibility of extracellular volume quantification using dual-energy CT
M van Assen, CN De Cecco, P Sahbaee, MH Eid, LP Griffith, MJ Bauer, ...
Journal of cardiovascular computed tomography 13 (1), 81-84, 2019
42019
Current and future applications of CT coronary calcium assessment
C Tesche, TM Duguay, UJ Schoepf, M van Assen, CN De Cecco, ...
Expert review of cardiovascular therapy 16 (6), 441-453, 2018
42018
Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT
MH Albrecht, TJ Vogl, SS Martin, JW Nance, TM Duguay, JL Wichmann, ...
Radiology 293 (2), 260-271, 2019
32019
Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques
D Mastrodicasa, MH Albrecht, UJ Schoepf, A Varga-Szemes, BE Jacobs, ...
Journal of cardiovascular computed tomography 13 (6), 331-335, 2019
22019
Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging
M van Assen, GJ Pelgrim, CN De Cecco, JMA Stijnen, BM Zaki, ...
European journal of radiology 110, 175-180, 2019
22019
Machine learning and deep neural networks applications in computed tomography for coronary artery disease and myocardial perfusion
CB Monti, M Codari, M van Assen, CN De Cecco, R Vliegenthart
Journal of Thoracic Imaging 35, S58-S65, 2020
12020
Accuracy of an artificial intelligence deep learning algorithm implementing a recurrent neural network with long short-term memory for the automated detection of calcified …
AM Fischer, M Eid, CN De Cecco, MA Gulsun, M van Assen, JW Nance, ...
Journal of Thoracic Imaging 35, S49-S57, 2020
12020
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Articles 1–20