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Profile

Marly van Assen

  • Department of Radiology and Imaging Sciences
    Assistant Professor
  • (404) 727-1362
  • marly.van.assen@emory.edu

Overview

Dr. van Assen is co-director of the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, head of CT and AI research, and an assistant professor in the Department of Radiology and Imaging Sciences. Dr. van Assen specializes in developing new imaging techniques for cardiothoracic imaging and the application of machine learning to improve cardiothoracic imaging workflows.

She earned an MSc in medical sensing and stimulation from Technische Universiteit Twente in Enschede, Netherlands, a six-year educational program that combines medical and technical topics focusing on optimizing the use of technology in clinical practice, and a PhD from University of Groningen in the Netherlands focused on new imaging technologies for cardiovascular imaging. She is the recipient of the 2021 American Heart Association Young Investigator Award presented by the North American Society of Cardiothoracic Imaging.

Research

Publications

  • Systematic review on the impact of deep learning-driven worklist triage on radiology workflow and clinical outcomes.
    Eur Radiol
    05/21/2025 Authors: Momin E; Cook T; Gershon G; Barr J; De Cecco CN; van Assen M
  • Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.
    Curr Atheroscler Rep Volume: 26 Page(s): 91 - 102
    04/01/2024 Authors: van Assen M; Beecy A; Gershon G; Newsome J; Trivedi H; Gichoya J
  • Quantitation of diffuse myocardial ischemia with mental stress and its association with cardiovascular events in individuals with recent myocardial infarction.
    J Nucl Cardiol Volume: 30 Page(s): 2029 - 2038
    10/01/2023 Authors: Almuwaqqat Z; Garcia EV; Cooke CD; Garcia M; Shah AJ; Elon L; Ko Y-A; Sullivan S; Nye J; Van Assen M
  • A Pilot Study of Neurobiological Mechanisms of Stress and Cardiovascular Risk.
    Med Res Arch Volume: 11
    04/01/2023 Authors: Bremner JD; Piccinelli M; Garcia EV; Moncayo VM; Elon L; Nye JA; Cooke CD; Washington BP; Ortega RA; Desai SR
  • Can Radiomics Help in the Identification of Vulnerable Coronary Plaque?
    Radiology Volume: 307 Page(s): e223342
    04/01/2023 Authors: De Cecco CN; van Assen M
  • Evaluation of pericoronary adipose tissue attenuation on CT.
    Br J Radiol Volume: 96 Page(s): 20220885
    04/01/2023 Authors: Ma R; Fari R; van der Harst P; N De Cecco C; E Stillman A; Vliegenthart R; van Assen M
  • Artificial intelligence in cardiac imaging: where we are and what we want.
    Eur Heart J Volume: 44 Page(s): 541 - 543
    02/14/2023 Authors: van Assen M; Razavi AC; Whelton SP; De Cecco CN
  • Discordance Between Coronary Artery Calcium Area and Density Predicts Long-Term Atherosclerotic Cardiovascular Disease Risk.
    JACC Cardiovasc Imaging Volume: 15 Page(s): 1929 - 1940
    11/01/2022 Authors: Razavi AC; van Assen M; De Cecco CN; Dardari ZA; Berman DS; Budoff MJ; Miedema MD; Nasir K; Rozanski A; Rumberger JA
  • Evolving Role of Calcium Density in Coronary Artery Calcium Scoring andAtherosclerotic Cardiovascular Disease Risk.
    JACC Cardiovasc Imaging Volume: 15 Page(s): 1648 - 1662
    09/01/2022 Authors: Razavi AC; Agatston AS; Shaw LJ; De Cecco CN; van Assen M; Sperling LS; Bittencourt MS; Daubert MA; Nasir K; Blumenthal RS
  • COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development.
    Br J Radiol Volume: 95 Page(s): 20211028
    06/01/2022 Authors: van Assen M; Zandehshahvar M; Maleki H; Kiarashi Y; Arleo T; Stillman AE; Filev P; Davarpanah AH; Berkowitz EA; Tigges S
  • Tumorous tissue characterization using integrated 18F-FDG PET/dual-energy CT in lung cancer: Combining iodine enhancement and glycolytic activity.
    Eur J Radiol Volume: 150 Page(s): 110116
    05/01/2022 Authors: Martin SS; Muscogiuri E; Burchett PF; van Assen M; Tessarin G; Vogl TJ; Schoepf UJ; De Cecco CN
  • Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population.
    Radiol Artif Intell Volume: 4 Page(s): e210196
    03/01/2022 Authors: Monti CB; van Assen M; Stillman AE; Lee SJ; Hoelzer P; Fung GSK; Secchi F; Sardanelli F; De Cecco CN
  • Cardiac Magnetic Resonance Tissue Characterization in Ischemic Cardiomyopathy.
    J Thorac Imaging Volume: 37 Page(s): 2 - 16
    01/01/2022 Authors: Muscogiuri G; Ricci F; Scafuri S; Guglielmo M; Baggiano A; De Stasio V; Di Donna C; Spiritigliozzi L; Chiocchi M; Lee SJ
  • The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography.
    J Thorac Imaging Volume: 36 Page(s): 345 - 352
    11/01/2021 Authors: van Assen M; Duguay TM; Litwin SE; Bayer RR; Nance JW; Suranyi P; De Cecco CN; Varga-Szemes A; Jacobs BE; Johnson AA
  • Prospective Evaluation of the First Integrated Positron Emission Tomography/Dual-Energy Computed Tomography System in Patients With Lung Cancer.
    J Thorac Imaging Volume: 36 Page(s): 382 - 388
    11/01/2021 Authors: Martin SS; van Assen M; Burchett P; Monti CB; Schoepf UJ; Ravenel J; Rieter WJ; Vogl TJ; Costello P; Gordon L
  • Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA.
    Eur Radiol Volume: 31 Page(s): 7251 - 7261
    10/01/2021 Authors: Ma R; van Assen M; Ties D; Pelgrim GJ; van Dijk R; Sidorenkov G; van Ooijen PMA; van der Harst P; Vliegenthart R
  • Predictive Value of Cardiac CTA, Cardiac MRI, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence.
    AJR Am J Roentgenol Volume: 217 Page(s): 336 - 346
    08/01/2021 Authors: Apfaltrer G; Lavra F; De Cecco CN; Varga-Szemes A; van Assen M; Mastrodicasa D; Scarabello M; Eid MH; Griffith LP; Nance JW
  • Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease.
    Sci Rep Volume: 11 Page(s): 11112
    05/27/2021 Authors: Zandehshahvar M; van Assen M; Maleki H; Kiarashi Y; De Cecco CN; Adibi A
  • Non-invasive fractional flow reserve (FFRCT) in the evaluation of acute chest pain - Concepts and first experiences.
    Eur J Radiol Volume: 138 Page(s): 109633
    05/01/2021 Authors: Fischer AM; van Assen M; Schoepf UJ; Matuskowitz AJ; Varga-Szemes A; Golden JW; Giovagnoli DA; Tesche C; Bayer RR
  • Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study.
    Eur J Radiol Volume: 134 Page(s): 109428
    01/01/2021 Authors: van Assen M; Martin SS; Varga-Szemes A; Rapaka S; Cimen S; Sharma P; Sahbaee P; De Cecco CN; Vliegenthart R; Leonard TJ
  • Quantitative analysis of dynamic computed tomography angiography for the detection of endoleaks after abdominal aorta aneurysm endovascular repair: A feasibility study.
    PLoS One Volume: 16 Page(s): e0245134
    01/01/2021 Authors: Apfaltrer G; Lavra F; Schoepf UJ; Scarabello M; Yamada R; van Assen M; Varga-Szemes A; Jacobs BE; Bauer MJ; Greenberg WT
  • Artificial intelligence in cardiac radiology.
    Radiol Med Volume: 125 Page(s): 1186 - 1199
    11/01/2020 Authors: van Assen M; Muscogiuri G; Caruso D; Lee SJ; Laghi A; De Cecco CN
  • Calcium scores distribution across coronary artery by age and sex: the ImaLife study
    Volume: 41 Page(s): 178 - 178
    11/01/2020 Authors: Ma R; Xia C; Van Assen M; Vonder M; Pelgrim G; Van Bolhuis JN; Van Der Harst P; Vliegenthart R
  • MRI perfusion in patients with stable chest-pain.
    Br J Radiol Volume: 93 Page(s): 20190881
    09/01/2020 Authors: van Assen M; Kuijpers DJ; Schwitter J
  • Artificial intelligence from A to Z: From neural network to legal framework.
    Eur J Radiol Volume: 129 Page(s): 109083
    08/01/2020 Authors: van Assen M; Lee SJ; De Cecco CN
  • Application of artificial intelligence in cardiac CT: From basics to clinical practice.
    Eur J Radiol Volume: 128 Page(s): 108969
    07/01/2020 Authors: van den Oever LB; Vonder M; van Assen M; van Ooijen PMA; de Bock GH; Xie XQ; Vliegenthart R
  • Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion.
    J Thorac Imaging Volume: 35 Suppl 1 Page(s): S58 - S65
    05/01/2020 Authors: Monti CB; Codari M; van Assen M; De Cecco CN; Vliegenthart R
  • Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography.
    J Thorac Imaging Volume: 35 Suppl 1 Page(s): S49 - S57
    05/01/2020 Authors: Fischer AM; Eid M; De Cecco CN; Gulsun MA; van Assen M; Nance JW; Sahbaee P; De Santis D; Bauer MJ; Jacobs BE
  • Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.
    J Thorac Imaging Volume: 35 Suppl 1 Page(s): S3 - S10
    05/01/2020 Authors: van Assen M; Banerjee I; De Cecco CN
  • Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.
    JACC Cardiovasc Imaging Volume: 13 Page(s): 524 - 526
    02/01/2020 Authors: Martin SS; van Assen M; Rapaka S; Hudson HT; Fischer AM; Varga-Szemes A; Sahbaee P; Schwemmer C; Gulsun MA; Cimen S
  • Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.
    Biomed Res Int Volume: 2020 Page(s): 6649410
    01/01/2020 Authors: Muscogiuri G; Van Assen M; Tesche C; De Cecco CN; Chiesa M; Scafuri S; Guglielmo M; Baggiano A; Fusini L; Guaricci AI
  • Myocardial extracellular volume fraction to differentiate healthy from cardiomyopathic myocardium using dual-source dual-energy CT.
    J Cardiovasc Comput Tomogr Volume: 14 Page(s): 162 - 167
    01/01/2020 Authors: Abadia AF; van Assen M; Martin SS; Vingiani V; Griffith LP; Giovagnoli DA; Bauer MJ; Schoepf UJ
  • FFR-CT and CT MyocardialPerfusionImaging: Friends or Foes?
    JACC Cardiovasc Imaging Volume: 12 Page(s): 2472 - 2474
    12/01/2019 Authors: Schoepf UJ; van Assen M
  • Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT.
    Radiology Volume: 293 Page(s): 260 - 271
    11/01/2019 Authors: Albrecht MH; Vogl TJ; Martin SS; Nance JW; Duguay TM; Wichmann JL; De Cecco CN; Varga-Szemes A; van Assen M; Tesche C
  • Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.
    Am J Cardiol Volume: 124 Page(s): 1340 - 1348
    11/01/2019 Authors: von Knebel Doeberitz PL; De Cecco CN; Schoepf UJ; Albrecht MH; van Assen M; De Santis D; Gaskins J; Martin S; Bauer MJ; Ebersberger U
  • Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
    Eur Radiol Volume: 29 Page(s): 2378 - 2387
    05/01/2019 Authors: von Knebel Doeberitz PL; De Cecco CN; Schoepf UJ; Duguay TM; Albrecht MH; van Assen M; Bauer MJ; Savage RH; Pannell JT; De Santis D
  • Iodine quantification based on rest / stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium.
    Eur J Radiol Volume: 112 Page(s): 136 - 143
    03/01/2019 Authors: van Assen M; Lavra F; Schoepf UJ; Jacobs BE; Williams BT; Thompson ZM; Varga-Szemes A; Ruzsics B; Oudkerk M; Vliegenthart R
  • Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease.
    J Cardiovasc Comput Tomogr Volume: 13 Page(s): 26 - 33
    01/01/2019 Authors: van Assen M; De Cecco CN; Eid M; von Knebel Doeberitz P; Scarabello M; Lavra F; Bauer MJ; Mastrodicasa D; Duguay TM; Zaki B
  • Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging.
    Eur J Radiol Volume: 110 Page(s): 175 - 180
    01/01/2019 Authors: van Assen M; Pelgrim GJ; De Cecco CN; Stijnen JMA; Zaki BM; Oudkerk M; Vliegenthart R; Schoepf UJ
  • Dual-energy CT of the heart current and future status.
    Eur J Radiol Volume: 105 Page(s): 110 - 118
    08/01/2018 Authors: Albrecht MH; De Cecco CN; Schoepf UJ; Spandorfer A; Eid M; De Santis D; Varga-Szemes A; van Assen M; von Knebel-Doeberitz PL; Tesche C
  • Current and future applications of CT coronary calcium assessment.
    Expert Rev Cardiovasc Ther Volume: 16 Page(s): 441 - 453
    06/01/2018 Authors: Tesche C; Duguay TM; Schoepf UJ; van Assen M; De Cecco CN; Albrecht MH; Varga-Szemes A; Bayer RR; Ebersberger U; Nance JW
  • Disagreement between splenic switch-off and myocardial T1-mapping after caffeine intake.
    Int J Cardiovasc Imaging Volume: 34 Page(s): 625 - 632
    04/01/2018 Authors: Kuijpers D; van Dijk R; van Assen M; Kaandorp TAM; van Dijkman PRM; Vliegenthart R; van der Harst P; Oudkerk M
  • Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction.
    Eur Radiol Exp Volume: 2 Page(s): 6
    01/01/2018 Authors: Suranyi P; Elgavish GA; Schoepf UJ; Ruzsics B; Kiss P; van Assen M; Jacobs BE; Brott BC; Elgavish A; Varga-Szemes A
  • Machine learning in cardiac CT: Basic concepts and contemporary data.
    J Cardiovasc Comput Tomogr Volume: 12 Page(s): 192 - 201
    01/01/2018 Authors: Singh G; Al'Aref SJ; Van Assen M; Kim TS; van Rosendael A; Kolli KK; Dwivedi A; Maliakal G; Pandey M; Wang J
  • Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis.
    J Cardiovasc Magn Reson Volume: 19 Page(s): 92
    11/27/2017 Authors: van Dijk R; van Assen M; Vliegenthart R; de Bock GH; van der Harst P; Oudkerk M
  • Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model.
    Int J Cardiovasc Imaging Volume: 33 Page(s): 1821 - 1830
    11/01/2017 Authors: Pelgrim GJ; Das M; van Tuijl S; van Assen M; Prinzen FW; Stijnen M; Oudkerk M; Wildberger JE; Vliegenthart R
  • 36th International Symposium on Intensive Care and Emergency Medicine : Brussels, Belgium. 15-18 March 2016.
    Crit Care Volume: 20 Page(s): 94
    04/20/2016 Authors: Bateman RM; Sharpe MD; Jagger JE; Ellis CG; Sol-Violn J; Lpez-Rodrguez M; Herrera-Ramos E; Ruz-Hernndez J; Borderas L; Horcajada J
  • Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine: Brussels, Belgium. 15-18 March 2016.
    Crit Care Volume: 20 Page(s): 347
    01/01/2016 Authors: Author et al; Bateman RM; Sharpe MD; Jagger JE; Ellis CG; Sol-Violn J; Lpez-Rodrguez M; Herrera-Ramos E; Ruz-Hernndez J; Borderas L
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