Zobrazeno 1 - 10
of 495
pro vyhledávání: '"Heewon Lee"'
Autor:
Alan Balu, Guillaume Kugener, Dhiraj J. Pangal, Heewon Lee, Sasha Lasky, Jane Han, Ian Buchanan, John Liu, Gabriel Zada, Daniel A. Donoho
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic visualization, and the captured video can be used for surgical education and development of predictive artificial intelligence (AI) models. Vi
Externí odkaz:
https://doaj.org/article/aeab279890904417b5b7a3bc73b14555
Autor:
Rachel I. Vogel, Ashley E. Stenzel, Heewon Lee, DeVon Hunter-Schlichting, Erin Wesley, Locke D. Uppendahl, Melissa A. Geller, Heather H. Nelson
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Purpose One of the most frequently reported effects of cancer and its treatments is cancer-related cognitive impairment (CRCI). Viral infections may affect inflammation and immune function and therefore may influence patient symptoms, includ
Externí odkaz:
https://doaj.org/article/861a5edc997a47b4bdef0eae8010cd5d
Publikováno v:
Pharmacology Research & Perspectives, Vol 11, Iss 1, Pp n/a-n/a (2023)
Abstract This study assessed the safety, tolerability, and pharmacokinetics of single and multiple oral doses of DA‐8010, a muscarinic M3 receptor antagonist, in healthy subjects. This was a randomized, double‐blind, placebo‐controlled, ascendi
Externí odkaz:
https://doaj.org/article/87d2545e1aae4fc497f339a4dd2f548a
Autor:
Heewon Lee, Sangtae Ahn
Publikováno v:
Mathematics, Vol 11, Iss 21, p 4460 (2023)
Object detection is a task that performs position identification and label classification of objects in images or videos. The information obtained through this process plays an essential role in various tasks in the field of computer vision. In objec
Externí odkaz:
https://doaj.org/article/548c8cb56bb94492a7b744327db0b6fe
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Micro-drilling devices with different blade shapes were fabricated with a rapid and facile manufacturing process using three-dimensional (3D) printing technology. The 3D-printed casting mold was utilized to customize the continuous shape of
Externí odkaz:
https://doaj.org/article/3d49a2724d244c059a89554629c53cdb
Publikováno v:
IEEE Access, Vol 9, Pp 54184-54189 (2021)
At various low-temperature conditions, it is difficult to obtain an accurate sensing response due to temperature-dependent material properties such as bandgap and resistivity of semiconductors. In this study, a gallium nitride (GaN)-based ultraviolet
Externí odkaz:
https://doaj.org/article/7957c4984ccf42b996093f083250feb4
Autor:
Heewon Lee, Eun Kyung Kim, Dong Baek Son, Youngdeok Hwang, Joon-Sung Kim, Seong Hoon Lim, Bomi Sul, Bo Young Hong
Publikováno v:
Annals of Rehabilitation Medicine, Vol 43, Iss 3, Pp 289-296 (2019)
Objective To investigate the effect of physical therapy (PT) intervention on spasticity in patients with cerebral palsy (CP), and to assess the degree of deterioration of spasticity when regular PT is interrupted in those patients. Methods We recruit
Externí odkaz:
https://doaj.org/article/92f29fe4fe39480697b957e119daf9ad
Publikováno v:
Annals of Rehabilitation Medicine, Vol 42, Iss 6, Pp 884-887 (2018)
We report a female proband carrying a de novo 5q34-q35.2 deletion breakpoint, and review the unique skeletal phenotype and possible genotype related to this mutation. The patient presented with a persistent head tilt and limited head rotation. Non-co
Externí odkaz:
https://doaj.org/article/d216900968fd4c7193766ed36535dcd4
Autor:
Rachel Isaksson Vogel, Kristin Niendorf, Heewon Lee, Sue Petzel, Hee Yun Lee, Melissa A. Geller
Publikováno v:
Hereditary Cancer in Clinical Practice, Vol 16, Iss 1, Pp 1-7 (2018)
Abstract Background National guidelines recommend genetic counseling for all ovarian cancer patients because up to 20% of ovarian cancers are thought to be due to hereditary cancer syndromes and effective cancer screening and prevention options exist
Externí odkaz:
https://doaj.org/article/a5e53352edbd4f00a4229d5fcbc22285
Publikováno v:
BMC Medical Genomics, Vol 11, Iss S2, Pp 57-69 (2018)
Abstract Background Embedding techniques for converting high-dimensional sparse data into low-dimensional distributed representations have been gaining popularity in various fields of research. In deep learning models, embedding is commonly used and
Externí odkaz:
https://doaj.org/article/16a0e69366eb4808965d0c248a2bda6a