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Machine Learning and Deep Neural Networks

Published:2020-02-19 Issue:Supplement 1 Volume:35 Page:S17-S20
ISSN:0883-5993
Container-title:Journal of Thoracic Imaging
language:en
Short-container-title:

Author:

Eberhard Matthias,Alkadhi Hatem

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pulmonary and Respiratory Medicine,Radiology Nuclear Medicine and imaging

Reference28 articles.

1. Deep learning applications in chest radiography and computed tomography: current state of the art;Lee;J Thorac Imaging,2019

2. Machine learning and deep neural networks in thoracic and cardiovascular imaging;Retson;J Thorac Imaging,2019

3. Subacute and chronic left ventricular myocardial scar: accuracy of texture analysis on nonenhanced cine MR images;Baessler;Radiology,2018

4. Three-dimensional texture analysis with machine learning provides incremental predictive information for successful shock wave lithotripsy in patients with kidney stones;Mannil;J Urol,2018

5. Texture analysis and machine learning for detecting myocardial infarction in noncontrast low-dose computed tomography: unveiling the invisible;Mannil;Invest Radiol,2018

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2. Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges;Expert Review of Anticancer Therapy;2023-12-02

3. Evaluation of radiation dose and establishment of local DRLs for adult during Abdominopelvic CT Scan imaging for University Hospital Centers, Morocco;Radioprotection;2023-11-29

4. Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond;Seminars in Roentgenology;2023-04

5. Artificial Intelligence in Symptomatic Carotid Plaque Detection: A Narrative Review;Applied Sciences;2023-03-29

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