Machine Learning Methods for Automated Quantification of Ventricular Dimensions-Reference-Cited by-同舟云学术

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Machine Learning Methods for Automated Quantification of Ventricular Dimensions

Published:2019-12-01 Issue:6 Volume:16 Page:542-545
ISSN:1545-8547
Container-title:Zebrafish
language:en
Short-container-title:Zebrafish

Author:

Schutera Mark¹,Just Steffen²,Gierten Jakob³⁴,Mikut Ralf¹,Reischl Markus¹,Pylatiuk Christian¹

Affiliation:

1. Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Eggenstein, Germany.

2. Department of Internal Medicine II, University of Ulm, Ulm, Germany.

3. Department of Pediatric Cardiology, University Hospital Heidelberg, Heidelberg, Germany.

4. Centre for Organismal Studies Heidelberg, Heidelberg University, Heidelberg, Germany.

Publisher

Mary Ann Liebert Inc

Subject

Developmental Biology,Animal Science and Zoology

Link

https://www.liebertpub.com/doi/pdf/10.1089/zeb.2019.1754

Reference11 articles.

1. Little Fish, Big Data: Zebrafish as a Model for Cardiovascular and Metabolic Disease

2. Protein Kinase D2 Controls Cardiac Valve Formation in Zebrafish by Regulating Histone Deacetylase 5 Activity

3. Medakafish as a model system for vertebrate developmental genetics

4. Zebrafish as tools for drug discovery

5. Quantifying Cardiac Functions in Embryonic and Adult Zebrafish

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1. Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening;Environmental Science & Technology;2024-05-01

2. STAVOS: A Medaka Larval Cardiac Video Segmentation Method Based on Deep Learning;Applied Sciences;2024-02-02

3. Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now;Zebrafish;2022-12-01

4. High-throughput screening paradigms in ecotoxicity testing: Emerging prospects and ongoing challenges;Chemosphere;2022-11

5. KaIDA: a modular tool for assisting image annotation in deep learning;Journal of Integrative Bioinformatics;2022-08-26

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