Literature DB >> 29361481

ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.

Hinrich B Winther, Christian Hundt, Bertil Schmidt, Christoph Czerner, Johann Bauersachs, Frank Wacker, Jens Vogel-Claussen.   

Abstract

Mesh：

Year:  2018        PMID： 29361481     DOI： 10.1016/j.jcmg.2017.11.013

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


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  14 in total

Review 1.  Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Authors:  Karthik Seetharam; James K Min
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

Review 2.  Artificial Intelligence in Cardiovascular Medicine.

Authors:  Karthik Seetharam; Sirish Shrestha; Partho P Sengupta
Journal:  Curr Treat Options Cardiovasc Med       Date:  2019-05-14

Review 3.  [Artificial intelligence and radiomics : Value in cardiac MRI].

Authors:  Alexander Rau; Martin Soschynski; Jana Taron; Philipp Ruile; Christopher L Schlett; Fabian Bamberg; Tobias Krauss
Journal:  Radiologie (Heidelb)       Date:  2022-08-25

Review 4.  Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Authors:  Partho P Sengupta; Sirish Shrestha; Béatrice Berthon; Emmanuel Messas; Erwan Donal; Geoffrey H Tison; James K Min; Jan D'hooge; Jens-Uwe Voigt; Joel Dudley; Johan W Verjans; Khader Shameer; Kipp Johnson; Lasse Lovstakken; Mahdi Tabassian; Marco Piccirilli; Mathieu Pernot; Naveena Yanamala; Nicolas Duchateau; Nobuyuki Kagiyama; Olivier Bernard; Piotr Slomka; Rahul Deo; Rima Arnaout
Journal:  JACC Cardiovasc Imaging       Date:  2020-09

5.  Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network.

Authors:  Xiuquan Du; Susu Yin; Renjun Tang; Yanping Zhang; Shuo Li
Journal:  IEEE J Transl Eng Health Med       Date:  2019-02-25       Impact factor: 3.316

Review 6.  Multimodality cardiac imaging in the 21st century: evolution, advances and future opportunities for innovation.

Authors:  Melissa A Daubert; Tina Tailor; Olga James; Leslee J Shaw; Pamela S Douglas; Lynne Koweek
Journal:  Br J Radiol       Date:  2020-11-25       Impact factor: 3.039

Review 7.  Cardiac MRI-Update 2020.

Authors:  Anke Busse; Rengarajan Rajagopal; Seyrani Yücel; Ebba Beller; Alper Öner; Felix Streckenbach; Daniel Cantré; Hüseyin Ince; Marc-André Weber; Felix G Meinel
Journal:  Radiologe       Date:  2020-11       Impact factor: 0.635

8.  Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data.

Authors:  David R Rutkowski; Alejandro Roldán-Alzate; Kevin M Johnson
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

9.  Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.

Authors:  Jinming Duan; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J W Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumoud; Declan P O'Regan; Daniel Rueckert
Journal:  IEEE Trans Med Imaging       Date:  2019-01-23       Impact factor: 10.048

Review 10.  Cardiac magnetic resonance imaging: the future is bright.

Authors:  Karthik Seetharam; Stamatios Lerakis
Journal:  F1000Res       Date:  2019-09-13
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