Literature DB >> 31734200

Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

Simon S Martin, Marly van Assen, Saikiran Rapaka, H Todd Hudson, Andreas M Fischer, Akos Varga-Szemes, Pooyan Sahbaee, Chris Schwemmer, Mehmet A Gulsun, Serkan Cimen, Puneet Sharma, Thomas J Vogl, U Joseph Schoepf.   

Abstract

Entities:  

Year:  2019        PMID： 31734200     DOI： 10.1016/j.jcmg.2019.09.015

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN： 1876-7591


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  10 in total

1.  A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study.

Authors:  Dona Adikari; Ramtin Gharleghi; Shisheng Zhang; Louisa Jorm; Arcot Sowmya; Daniel Moses; Sze-Yuan Ooi; Susann Beier
Journal:  BMJ Open       Date:  2022-06-20       Impact factor: 3.006

Review 2.  Artificial Intelligence in Cardiology-A Narrative Review of Current Status.

Authors:  George Koulaouzidis; Tomasz Jadczyk; Dimitris K Iakovidis; Anastasios Koulaouzidis; Marc Bisnaire; Dafni Charisopoulou
Journal:  J Clin Med       Date:  2022-07-05       Impact factor: 4.964

Review 3.  Applications of artificial intelligence in cardiovascular imaging.

Authors:  Maxime Sermesant; Hervé Delingette; Hubert Cochet; Pierre Jaïs; Nicholas Ayache
Journal:  Nat Rev Cardiol       Date:  2021-03-12       Impact factor: 32.419

4.  Greasing the Skids: Deep Learning for Fully Automated Quantification of Epicardial Fat.

Authors:  U Joseph Schoepf; Andres F Abadia
Journal:  Radiol Artif Intell       Date:  2019-11-27

5.  Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Authors:  Roman Zeleznik; Borek Foldyna; Parastou Eslami; Jakob Weiss; Ivanov Alexander; Jana Taron; Chintan Parmar; Raza M Alvi; Dahlia Banerji; Mio Uno; Yasuka Kikuchi; Julia Karady; Lili Zhang; Jan-Erik Scholtz; Thomas Mayrhofer; Asya Lyass; Taylor F Mahoney; Joseph M Massaro; Ramachandran S Vasan; Pamela S Douglas; Udo Hoffmann; Michael T Lu; Hugo J W L Aerts
Journal:  Nat Commun       Date:  2021-01-29       Impact factor: 14.919

Review 6.  Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

Authors:  Giuseppe Muscogiuri; Marly Van Assen; Christian Tesche; Carlo N De Cecco; Mattia Chiesa; Stefano Scafuri; Marco Guglielmo; Andrea Baggiano; Laura Fusini; Andrea I Guaricci; Mark G Rabbat; Gianluca Pontone
Journal:  Biomed Res Int       Date:  2020-12-16       Impact factor: 3.411

7.  Evaluation of the Effect of Refined Nursing Intervention on Coronary CT Imaging Microscopy.

Authors:  Tao Qian
Journal:  Scanning       Date:  2022-06-09       Impact factor: 1.750

8.  Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer.

Authors:  Joo Hyeok Choi; Min Jae Cha; Iksung Cho; William D Kim; Yera Ha; Hyewon Choi; Sun Hwa Lee; Seng Chan You; Jee Suk Chang
Journal:  Front Oncol       Date:  2022-09-20       Impact factor: 5.738

9.  Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation.

Authors:  Zhiwei Zhai; Sanne G M van Velzen; Nikolas Lessmann; Nils Planken; Tim Leiner; Ivana Išgum
Journal:  Front Cardiovasc Med       Date:  2022-09-12

Review 10.  Artificial intelligence: improving the efficiency of cardiovascular imaging.

Authors:  Andrew Lin; Márton Kolossváry; Ivana Išgum; Pál Maurovich-Horvat; Piotr J Slomka; Damini Dey
Journal:  Expert Rev Med Devices       Date:  2020-06-16       Impact factor: 3.166
  10 in total

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