Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bolun Lin"'
Autor:
Kalyanaraman Vaidyanathan, Chuangqi Wang, Amanda Krajnik, Yudong Yu, Moses Choi, Bolun Lin, Junbong Jang, Su-Jin Heo, John Kolega, Kwonmoo Lee, Yongho Bae
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Machine learning approaches have shown great promise in biology and medicine discovering hidden information to further understand complex biological and pathological processes. In this study, we developed a deep learning-based machine learni
Externí odkaz:
https://doaj.org/article/1f62cb5c336e4df3933746b55e0c5ddd
Publikováno v:
Dentomaxillofac Radiol
Objectives: This study aimed to develop models that can automatically detect anterior disc displacement (ADD) of the temporomandibular joint (TMJ) on MRIs before orthodontic treatment to reduce the risk of developing serious complications after treat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339d7d15d4e5f934cd2b786a6be12092
https://doi.org/10.1259/dmfr.20210341
https://doi.org/10.1259/dmfr.20210341
Autor:
Junbong Jang, Yudong Yu, Hee June Choi, Xitong Zhang, Chuangqi Wang, Madison Ryan, Bolun Lin, Xiang Pan, Kwonmoo Lee, Carly Whittle, Yenyu Chen
Publikováno v:
Cell reports methods
MOTIVATION Quantitative studies of cellular morphodynamics rely on extracting leading-edge velocity time series based on accurate cell segmentation from live cell imaging. However, live cell imaging has numerous challenging issues regarding accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f527e8be1828382a4f371b5bb6c9c7a8
http://europepmc.org/articles/PMC8654120
http://europepmc.org/articles/PMC8654120
Autor:
Yongho Bae, Moses Choi, Junbong Jang, Kwonmoo Lee, Yudong Yu, Amanda Krajnik, Kalyanaraman Vaidyanathan, Su Jin Heo, John Kolega, Chuangqi Wang, Bolun Lin
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Machine learning approaches have shown great promise in biology and medicine discovering hidden information to further understand complex biological and pathological processes. In this study, we developed a deep learning-based machine learning algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ce00edec8fda0a31ccb1437297ea6c
https://pubmed.ncbi.nlm.nih.gov/34857846
https://pubmed.ncbi.nlm.nih.gov/34857846
Autor:
Chuangqi Wang, Kalyanaraman Vaidyanathan, Yongho Bae, Su Jin Heo, Moses Choi, Bolun Lin, Kwonmoo Lee, Yudong Yu, John Kolega, Amanda Krajnik
SUMMARYAtherosclerosis and vascular injury are characterized by neointima formation caused by the aberrant accumulation and proliferation of vascular smooth muscle cells (VSMCs) within the vessel wall. Understanding how to control VSMCs would advance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6831d3fbea7856958dfea2e44c8724bc
https://doi.org/10.1101/2020.01.30.927616
https://doi.org/10.1101/2020.01.30.927616
Autor:
Junbong Jang, Yenyu Chen, Carly Whittle, Xiang Pan, Kwonmoo Lee, Bolun Lin, Yudong Yu, Hee June Choi, Xitong Zhang, Chuangqi Wang, Madison Ryan
Quantitative studies of cellular morphodynamics rely on extracting leading-edge velocity time-series based on accurate cell segmentation from live cell imaging. However, live cell imaging has numerous challenging issues about accurate edge localizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf8ea9cf147b3ab484ccad953ea6ac37
https://doi.org/10.1101/191858
https://doi.org/10.1101/191858