Automated tracking and quantification of angiogenic vessel formation in 3D microfluidic devices.

Autor: Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H Harry Asada

Publikováno v: PLoS ONE, Vol 12, Iss 11, p e0186465 (2017)

Angiogenesis, the growth of new blood vessels from pre-existing vessels, is a critical step in cancer invasion. Better understanding of the angiogenic mechanisms is required to develop effective antiangiogenic therapies for cancer treatment. We cultu

Externí odkaz: https://doaj.org/article/ed2422695bf74cceadcd5efb57aa471b

Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist

Autor: Nils Hendrix, Ward Hendrix, Kees van Dijke, Bas Maresch, Mario Maas, Stijn Bollen, Alexander Scholtens, Milko de Jonge, Lee-Ling Sharon Ong, Bram van Ginneken, Matthieu Rutten

Publikováno v: Hendrix, N, Hendrix, W, van Dijke, K, Maresch, B, Maas, M, Bollen, S, Scholtens, A, de Jonge, M, Ong, L-L S, van Ginneken, B & Rutten, M 2022, ' Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist ', European Radiology . https://doi.org/10.1007/s00330-022-09205-4
European Radiology. Springer Verlag
European Radiology, 33, 1575-1588
European Radiology, 33, 3, pp. 1575-1588
European radiology. Springer Verlag

Objectives To assess how an artificial intelligence (AI) algorithm performs against five experienced musculoskeletal radiologists in diagnosing scaphoid fractures and whether it aids their diagnosis on conventional multi-view radiographs. Methods Fou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59addfc8d5a38ecfa5a3186827ca9837
http://www.scopus.com/inward/record.url?scp=85141941022&partnerID=8YFLogxK

Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs

Autor: Eric O. Postma, Alexander Scholtens, Ernst T. Scholten, Stefan Bruijnen, Bram van Ginneken, Suzanne Diepstraten, Matthieu J. C. M. Rutten, Ward Hendrix, Mathijn de Jong, Nils Hendrix, Maarten de Rooij, Lee-Ling Sharon Ong, Steven Schalekamp, Bas J. Maresch, Tijs Samson, Bastiaan Vernhout, Stijn Bollen

Publikováno v: Radiology: Artificial Intelligence, 3(4):e200260. Radiological Society of North America Inc.
Radiology: Artificial Intelligence, 3, 4
Radiol Artif Intell
Radiology: Artificial Intelligence, 3

Contains fulltext : 238628.pdf (Publisher’s version ) (Closed access) Purpose: To compare the performance of a convolutional neural network (CNN) to that of 11 radiologists in detecting scaphoid bone fractures on conventional radiographs of the han

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1d17b2592e4b2b32a2925af405c47a5
https://hdl.handle.net/2066/238628

Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters

Autor: Lee-Ling Sharon Ong, Justin Dauwels, Mengmeng Wang, H. Harry Asada

Publikováno v: ICASSP

Cell migration is a fundamental process for the development and maintenance of all multicellular organisms. Accurate cell tracking may lead to better interpretations of long-term cell behaviours. This paper describes an automated system to track mult

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96f944da157b0854b54fc2b2c82b898a
https://doi.org/10.1109/icassp.2015.7178108

Dll4-containing exosomes induce capillary sprout retraction in a 3D microenvironment

Autor: Evan Tan, Lee-Ling Sharon Ong, H. Harry Asada, Ruowen Ge, Soheila Sharghi-Namini

Publikováno v: Nature Publishing Group
Scientific Reports

Delta-like 4 (Dll4), a membrane-bound Notch ligand, plays a fundamental role in vascular development and angiogenesis. Dll4 is highly expressed in capillary endothelial tip cells and is involved in suppressing neighboring stalk cells to become tip ce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e873c6568c92f1de2d047faaf3f3c77
https://doi.org/10.1038/srep04031