Literature DB >> 33937806

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

U Joseph Schoepf1, Andres F Abadia1.   

Abstract

Entities:  

Year:  2019        PMID： 33937806      PMCID： PMC8017398          DOI： 10.1148/ryai.2019190140

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


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  10 in total

1.  Prognostic Value of Vascular Calcifications and Regional Fat Depots Derived From Conventional Chest Computed Tomography.

Authors:  Gastón A Rodríguez-Granillo; Exequiel Reynoso; Carlos Capuñay; Charalambos Antoniades; Leslee J Shaw; Patricia Carrascosa
Journal:  J Thorac Imaging       Date:  2019-01       Impact factor: 3.000

Review 2.  Current Evidence in Cardiothoracic Imaging: Computed Tomography-derived Fractional Flow Reserve in Stable Chest Pain.

Authors:  Fides R Schwartz; Lynne M Koweek; Bjarne L Nørgaard
Journal:  J Thorac Imaging       Date:  2019-01       Impact factor: 3.000

3.  Relationship between coronary artery disease and epicardial adipose tissue quantification at cardiac CT: comparison between automatic volumetric measurement and manual bidimensional estimation.

Authors:  Gorka Bastarrika; Jordi Broncano; U Joseph Schoepf; Florian Schwarz; Yeong Shyan Lee; Joseph A Abro; Philip Costello; Peter L Zwerner
Journal:  Acad Radiol       Date:  2010-04-03       Impact factor: 3.173

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

Authors:  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
Journal:  JACC Cardiovasc Imaging       Date:  2019-11-13

5.  Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals.

Authors:  Rami M Abazid; Osama A Smettei; Mohammad Obadah Kattea; Sawsan Sayed; Hanaa Saqqah; Adel M Widyan; Maksymilian P Opolski
Journal:  J Thorac Imaging       Date:  2017-11       Impact factor: 3.000

Review 6.  Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.

Authors:  Tara A Retson; Alexandra H Besser; Sean Sall; Daniel Golden; Albert Hsiao
Journal:  J Thorac Imaging       Date:  2019-05       Impact factor: 3.000

7.  Automated quantification of epicardial adipose tissue using CT angiography: evaluation of a prototype software.

Authors:  James V Spearman; Felix G Meinel; U Joseph Schoepf; Paul Apfaltrer; Justin R Silverman; Aleksander W Krazinski; Christian Canstein; Carlo Nicola De Cecco; Philip Costello; Lucas L Geyer
Journal:  Eur Radiol       Date:  2013-11-06       Impact factor: 5.315

8.  Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Authors:  Christian Tesche; Carlo N De Cecco; Stefan Baumann; Matthias Renker; Tindal W McLaurin; Taylor M Duguay; Richard R Bayer; Daniel H Steinberg; Katharine L Grant; Christian Canstein; Chris Schwemmer; Max Schoebinger; Lucian M Itu; Saikiran Rapaka; Puneet Sharma; U Joseph Schoepf
Journal:  Radiology       Date:  2018-04-10       Impact factor: 11.105

9.  Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.

Authors:  Manish Motwani; Damini Dey; Daniel S Berman; Guido Germano; Stephan Achenbach; Mouaz H Al-Mallah; Daniele Andreini; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Kavitha Chinnaiyan; Benjamin J W Chow; Ricardo C Cury; Augustin Delago; Millie Gomez; Heidi Gransar; Martin Hadamitzky; Joerg Hausleiter; Niree Hindoyan; Gudrun Feuchtner; Philipp A Kaufmann; Yong-Jin Kim; Jonathon Leipsic; Fay Y Lin; Erica Maffei; Hugo Marques; Gianluca Pontone; Gilbert Raff; Ronen Rubinshtein; Leslee J Shaw; Julia Stehli; Todd C Villines; Allison Dunning; James K Min; Piotr J Slomka
Journal:  Eur Heart J       Date:  2017-02-14       Impact factor: 29.983

10.  Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.

Authors:  Frederic Commandeur; Markus Goeller; Aryabod Razipour; Sebastien Cadet; Michaela M Hell; Jacek Kwiecinski; Xi Chen; Hyuk-Jae Chang; Mohamed Marwan; Stephan Achenbach; Daniel S Berman; Piotr J Slomka; Balaji K Tamarappoo; Damini Dey
Journal:  Radiol Artif Intell       Date:  2019-11-27
  10 in total

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