Active multitask learning with uncertainty‐weighted loss for coronary calcium scoring-Reference-Cited by-同舟云学术

Active multitask learning with uncertainty‐weighted loss for coronary calcium scoring

Published:2022-08-11 Issue:11 Volume:49 Page:7262-7277
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Föllmer Bernhard¹,Biavati Federico¹,Wald Christian¹,Stober Sebastian²,Ma Jackie³,Dewey Marc¹⁴,Samek Wojciech³

Affiliation:

1. Department of Radiology Charité‐Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

2. Artificial Intelligence Lab Otto‐von‐Guericke‐Universität Magdeburg Germany

3. Department of Artificial Intelligence Fraunhofer Heinrich Hertz Institute Berlin Germany

4. Berlin Institute of Health and DZHK (German Centre for Cardiovascular Research) Berlin Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15870

Reference58 articles.

1. WHO.Cardiovascular diseases. Fact sheet 317 World Health Organization;2021.

2. An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

3. An automatic deep learning approach for coronary artery calcium segmentation

4. Quantification of coronary artery calcium using ultrafast computed tomography

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