Literature DB >> 29850780

Teaching cardiovascular medicine to machines.

Pablo Lamata1.   

Abstract

Mesh：

Year:  2018        PMID： 29850780      PMCID： PMC6014504          DOI： 10.1093/cvr/cvy127

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN： 0008-6363            Impact factor:   10.787


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  16 in total

1.  Clinical Diagnostic Biomarkers from the Personalization of Computational Models of Cardiac Physiology.

Authors:  Pablo Lamata; Andrew Cookson; Nic Smith
Journal:  Ann Biomed Eng       Date:  2015-09-23       Impact factor: 3.934

2.  Phenomapping for novel classification of heart failure with preserved ejection fraction.

Authors:  Sanjiv J Shah; Daniel H Katz; Senthil Selvaraj; Michael A Burke; Clyde W Yancy; Mihai Gheorghiade; Robert O Bonow; Chiang-Ching Huang; Rahul C Deo
Journal:  Circulation       Date:  2014-11-14       Impact factor: 29.690

Review 3.  Whole-heart modeling: applications to cardiac electrophysiology and electromechanics.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2011-01-07       Impact factor: 17.367

4.  Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.

Authors:  Peter C Austin; Jack V Tu; Jennifer E Ho; Daniel Levy; Douglas S Lee
Journal:  J Clin Epidemiol       Date:  2013-02-04       Impact factor: 6.437

5.  Differentiating Electromechanical From Non-Electrical Substrates of Mechanical Discoordination to Identify Responders to Cardiac Resynchronization Therapy.

Authors:  Joost Lumens; Bhupendar Tayal; John Walmsley; Antonia Delgado-Montero; Peter R Huntjens; David Schwartzman; Andrew D Althouse; Tammo Delhaas; Frits W Prinzen; John Gorcsan
Journal:  Circ Cardiovasc Imaging       Date:  2015-09       Impact factor: 7.792

6.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps).

Authors:  Bjarne L Nørgaard; Jonathon Leipsic; Sara Gaur; Sujith Seneviratne; Brian S Ko; Hiroshi Ito; Jesper M Jensen; Laura Mauri; Bernard De Bruyne; Hiram Bezerra; Kazuhiro Osawa; Mohamed Marwan; Christoph Naber; Andrejs Erglis; Seung-Jung Park; Evald H Christiansen; Anne Kaltoft; Jens F Lassen; Hans Erik Bøtker; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2014-01-30       Impact factor: 24.094

7.  Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.

Authors:  Oliver J Britton; Alfonso Bueno-Orovio; Karel Van Ammel; Hua Rong Lu; Rob Towart; David J Gallacher; Blanca Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

8.  Beyond Bernoulli: Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops.

Authors:  Fabrizio Donati; Saul Myerson; Malenka M Bissell; Nicolas P Smith; Stefan Neubauer; Mark J Monaghan; David A Nordsletten; Pablo Lamata
Journal:  Circ Cardiovasc Imaging       Date:  2017-01       Impact factor: 7.792

9.  An Asymmetric Wall-Thickening Pattern Predicts Response to Cardiac Resynchronization Therapy.

Authors:  David R Warriner; Tom Jackson; Ernesto Zacur; Eva Sammut; Paul Sheridan; David Rod Hose; Patricia Lawford; Reza Razavi; Steve Alexander Niederer; Christopher Aldo Rinaldi; Pablo Lamata
Journal:  JACC Cardiovasc Imaging       Date:  2018-03-14

10.  The estimation of patient-specific cardiac diastolic functions from clinical measurements.

Authors:  Jiahe Xi; Pablo Lamata; Steven Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sebastien Ourselin; Simon G Duckett; Anoop K Shetty; C Aldo Rinaldi; Daniel Rueckert; Reza Razavi; Nic P Smith
Journal:  Med Image Anal       Date:  2012-10-16       Impact factor: 8.545
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  4 in total

1.  Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Authors:  Evangelos K Oikonomou; Musib Siddique; Charalambos Antoniades
Journal:  Cardiovasc Res       Date:  2020-11-01       Impact factor: 10.787

Review 2.  The health digital twin to tackle cardiovascular disease-a review of an emerging interdisciplinary field.

Authors:  Genevieve Coorey; Gemma A Figtree; David F Fletcher; Victoria J Snelson; Stephen Thomas Vernon; David Winlaw; Stuart M Grieve; Alistair McEwan; Jean Yee Hwa Yang; Pierre Qian; Kieran O'Brien; Jessica Orchard; Jinman Kim; Sanjay Patel; Julie Redfern
Journal:  NPJ Digit Med       Date:  2022-08-26

3.  The year in cardiovascular medicine 2020: digital health and innovation.

Authors:  Charalambos Antoniades; Folkert W Asselbergs; Panos Vardas
Journal:  Eur Heart J       Date:  2021-02-14       Impact factor: 29.983

4.  The 'Digital Twin' to enable the vision of precision cardiology.

Authors:  Jorge Corral-Acero; Francesca Margara; Maciej Marciniak; Cristobal Rodero; Filip Loncaric; Yingjing Feng; Andrew Gilbert; Joao F Fernandes; Hassaan A Bukhari; Ali Wajdan; Manuel Villegas Martinez; Mariana Sousa Santos; Mehrdad Shamohammdi; Hongxing Luo; Philip Westphal; Paul Leeson; Paolo DiAchille; Viatcheslav Gurev; Manuel Mayr; Liesbet Geris; Pras Pathmanathan; Tina Morrison; Richard Cornelussen; Frits Prinzen; Tammo Delhaas; Ada Doltra; Marta Sitges; Edward J Vigmond; Ernesto Zacur; Vicente Grau; Blanca Rodriguez; Espen W Remme; Steven Niederer; Peter Mortier; Kristin McLeod; Mark Potse; Esther Pueyo; Alfonso Bueno-Orovio; Pablo Lamata
Journal:  Eur Heart J       Date:  2020-12-21       Impact factor: 29.983
  4 in total

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