Literature DB >> 35554868

Deep learning: Opening a third eye to myocardial perfusion imaging.

Tomoe Hagio1, Venkatesh L Murthy2.   

Abstract

Entities:  

Year:  2022        PMID： 35554868     DOI： 10.1007/s12350-022-02959-w

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN： 1071-3581            Impact factor:   5.952


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  10 in total

Review 1.  Deep Learning: The Good, the Bad, and the Ugly.

Authors:  Thomas Serre
Journal:  Annu Rev Vis Sci       Date:  2019-08-08       Impact factor: 6.422

2.  Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States.

Authors:  Daniel W Mudrick; Patricia A Cowper; Bimal R Shah; Manesh R Patel; Neil C Jensen; Eric D Peterson; Pamela S Douglas
Journal:  Am Heart J       Date:  2012-03       Impact factor: 4.749

3.  A Learned Reconstruction Network for SPECT Imaging.

Authors:  Wenyi Shao; Martin G Pomper; Yong Du
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-05-12

4.  Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.

Authors:  Venkatesh L Murthy; Timothy M Bateman; Rob S Beanlands; Daniel S Berman; Salvador Borges-Neto; Panithaya Chareonthaitawee; Manuel D Cerqueira; Robert A deKemp; E Gordon DePuey; Vasken Dilsizian; Sharmila Dorbala; Edward P Ficaro; Ernest V Garcia; Henry Gewirtz; Gary V Heller; Howard C Lewin; Saurabh Malhotra; April Mann; Terrence D Ruddy; Thomas H Schindler; Ronald G Schwartz; Piotr J Slomka; Prem Soman; Marcelo F Di Carli; Andrew Einstein; Raymond Russell; James R Corbett
Journal:  J Nucl Cardiol       Date:  2018-02       Impact factor: 5.952

5.  On instabilities of deep learning in image reconstruction and the potential costs of AI.

Authors:  Vegard Antun; Francesco Renna; Clarice Poon; Ben Adcock; Anders C Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-11       Impact factor: 11.205

6.  Retinal nerve fibre layer thickness measured with SD-OCT in a population-based study: the Handan Eye Study.

Authors:  Jian Wu; Yifan Du; Caixia Lin; Yingting Zhu; Wei Chen; Qing Pan; Yehong Zhuo; Ningli Wang
Journal:  Br J Ophthalmol       Date:  2022-04-05       Impact factor: 4.638

7.  The Added Value of 68Ga-FAPI PET/CT in Patients with Head and Neck Cancer of Unknown Primary with 18F-FDG-Negative Findings.

Authors:  Bingxin Gu; Xiaoping Xu; Ji Zhang; Xiaomin Ou; Zuguang Xia; Qing Guan; Silong Hu; Zhongyi Yang; Shaoli Song
Journal:  J Nucl Med       Date:  2021-09-30       Impact factor: 11.082

8.  Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

Authors:  Julian Betancur; Frederic Commandeur; Mahsaw Motlagh; Tali Sharir; Andrew J Einstein; Sabahat Bokhari; Mathews B Fish; Terrence D Ruddy; Philipp Kaufmann; Albert J Sinusas; Edward J Miller; Timothy M Bateman; Sharmila Dorbala; Marcelo Di Carli; Guido Germano; Yuka Otaki; Balaji K Tamarappoo; Damini Dey; Daniel S Berman; Piotr J Slomka
Journal:  JACC Cardiovasc Imaging       Date:  2018-03-14

9.  Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

Authors:  John R Zech; Marcus A Badgeley; Manway Liu; Anthony B Costa; Joseph J Titano; Eric Karl Oermann
Journal:  PLoS Med       Date:  2018-11-06       Impact factor: 11.069

10.  Diagnostic Accuracy of Cardiovascular Magnetic Resonance for Cardiac Transplant Rejection: A Meta-Analysis.

Authors:  Donghee Han; Robert J H Miller; Yuka Otaki; Heidi Gransar; Evan Kransdorf; Michelle Hamilton; Michele Kittelson; Jignesh Patel; Jon A Kobashigawa; Louise Thomson; Daniel Berman; Balaji Tamarappoo
Journal:  JACC Cardiovasc Imaging       Date:  2021-07-14
  10 in total

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