Quantitative analysis of the dexamethasone side effect on human-derived young and aged skeletal muscle by myotube and nuclei segmentation using deep learning

Authors

Seonghwan Park (ORCID: https://orcid.org/0000-0001-8554-7459)
Sohae Yang
Jae-Won Jeong (ORCID: https://orcid.org/0000-0002-5567-5107)
Inkyu Moon (ORCID: https://orcid.org/0000-0003-0882-8585)
Minseok Kim (ORCID: https://orcid.org/0000-0002-8802-5661)
Minyoung Kim (ORCID: https://orcid.org/0000-0003-4273-7118)

Institutions

Daegu Gyeongbuk Institute of Science and Technology (KR)
The RebornCell (South Korea) (KR)

Publication Details

Journal: Bioinformatics
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioinformatics/btae658
Citations: 1
Primary Topic: Muscle Physiology and Disorders
Type: article
Field-Weighted Citation Impact: 0.23

Funders

National Research Foundation
Ministry of Science, ICT and Future Planning
National Research Foundation of Korea
Ministry of Science and ICT, South Korea
Institute for Information and Communications Technology Promotion

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Quantitative analysis of the dexamethasone side effect on human-derived young and aged skeletal muscle by myotube and nuclei segmentation using deep learning

Seonghwan Park, Sohae Yang, Jae-Won Jeong, Inkyu Moon et al.

Dec 26, 2024

1 citations

Bioinformatics

Muscle Physiology and Disorders

0.23

article

Quantitative analysis of the dexamethasone side effect on human-derived young and aged skeletal muscle by myotube and nuclei segmentation using deep learning

Seonghwan Park, Sohae Yang, Jae-Won Jeong, Inkyu Moon, Minseok Kim, Minyoung Kim

December 26, 2024article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(1)

Daegu Gyeongbuk Institute of Science and Technology (KR), The RebornCell (South Korea) (KR)

National Research Foundation, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion

Openalex Percentile: Top 40%

Muscle Physiology and Disorders

0.23

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.