Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1974 1
1987 1
1989 1
1991 1
1994 1
1997 1
1999 1
2000 2
2001 2
2002 1
2003 5
2004 5
2005 7
2006 6
2007 12
2008 9
2009 3
2010 11
2011 11
2012 17
2013 15
2014 23
2015 16
2016 22
2017 26
2018 21
2019 35
2020 36
2021 44
2022 47
2023 40
2024 21

Text availability

Article attribute

Article type

Publication date

Search Results

395 results

Results by year

Filters applied: . Clear all
Page 1
Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management.
Jayanti RP, Long NP, Phat NK, Cho YS, Shin JG. Jayanti RP, et al. Pharmaceutics. 2022 May 5;14(5):990. doi: 10.3390/pharmaceutics14050990. Pharmaceutics. 2022. PMID: 35631576 Free PMC article. Review.
Herein, we review the current practice of TDM and discuss the main obstacles that impede it from successful clinical implementation. Moreover, we propose a semi-automated TDM approach to further enhance precision medicine for TB management....
Herein, we review the current practice of TDM and discuss the main obstacles that impede it from successful clinical implementation. Moreove …
Voxel-wise adversarial semi-supervised learning for medical image segmentation.
Lee CE, Park H, Shin YG, Chung M. Lee CE, et al. Comput Biol Med. 2022 Nov;150:106152. doi: 10.1016/j.compbiomed.2022.106152. Epub 2022 Sep 29. Comput Biol Med. 2022. PMID: 36208595
Recent semi-supervised approaches have demonstrated promising results by employing consistency regularization, pseudo-labeling techniques, and adversarial learning. ...The experimental results demonstrate that our method outperforms current best-performing state-of-the-art …
Recent semi-supervised approaches have demonstrated promising results by employing consistency regularization, pseudo-labeling techni …
Roslingifier: Semi-Automated Storytelling for Animated Scatterplots.
Shin M, Kim J, Han Y, Xie L, Whitelaw M, Kwon BC, Ko S, Elmqvist N. Shin M, et al. IEEE Trans Vis Comput Graph. 2023 Jun;29(6):2980-2995. doi: 10.1109/TVCG.2022.3146329. Epub 2023 May 3. IEEE Trans Vis Comput Graph. 2023. PMID: 35085082
In this article, we aim to define a design space for this new genre-data presentation-and provide a semi-automated authoring tool for helping presenters create quality presentations. ...
In this article, we aim to define a design space for this new genre-data presentation-and provide a semi-automated authoring tool for …
Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data.
Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E, Jafar T, Jassal SK, Landman GW, Muntner P, Roderick P, Sairenchi T, Schöttker B, Shankar A, Shlipak M, Tonelli M, Townend J, van Zuilen A, Yamagishi K, Yamashita K, Gansevoort R, Sarnak M, Warnock DG, Woodward M, Ärnlöv J; CKD Prognosis Consortium. Matsushita K, et al. Lancet Diabetes Endocrinol. 2015 Jul;3(7):514-25. doi: 10.1016/S2213-8587(15)00040-6. Epub 2015 May 28. Lancet Diabetes Endocrinol. 2015. PMID: 26028594 Free PMC article.
We assessed C statistic difference and reclassification improvement for cardiovascular mortality and fatal and non-fatal cases of coronary heart disease, stroke, and heart failure in a 5 year timeframe, contrasting prediction models for traditional risk factors with and without c …
We assessed C statistic difference and reclassification improvement for cardiovascular mortality and fatal and non-fatal cases of coronary h …
Semi-automated approach for generation of biological networks on drug-induced cholestasis, steatosis, hepatitis, and cirrhosis.
Shin HK, Florean O, Hardy B, Doktorova T, Kang MG. Shin HK, et al. Toxicol Res. 2022 Mar 3;38(3):393-407. doi: 10.1007/s43188-022-00124-6. eCollection 2022 Jul. Toxicol Res. 2022. PMID: 35865277 Free PMC article.
In this study, the mechanisms leading to the development of cholestasis, steatosis, hepatitis, and cirrhosis were explored using a semi-automated approach for data gathering and associations. Diverse data from ToxCast, Comparative Toxicogenomic Database (CTD), Reactome, an …
In this study, the mechanisms leading to the development of cholestasis, steatosis, hepatitis, and cirrhosis were explored using a semi
Regularization of dielectric tensor tomography.
Hugonnet H, Shin S, Park Y. Hugonnet H, et al. Opt Express. 2023 Jan 30;31(3):3774-3783. doi: 10.1364/OE.478260. Opt Express. 2023. PMID: 36785362 Free article.
In this study, we study the application of total variation and positive semi-definiteness regularization to three-dimensional tensor distributions. ...
In this study, we study the application of total variation and positive semi-definiteness regularization to three-dimensional tensor …
Evaluation of a semi-automated data extraction tool for public health literature-based reviews: Dextr.
Walker VR, Schmitt CP, Wolfe MS, Nowak AJ, Kulesza K, Williams AR, Shin R, Cohen J, Burch D, Stout MD, Shipkowski KA, Rooney AA. Walker VR, et al. Environ Int. 2022 Jan 15;159:107025. doi: 10.1016/j.envint.2021.107025. Epub 2021 Dec 14. Environ Int. 2022. PMID: 34920276 Free article.
OBJECTIVES: To develop and evaluate a flexible, web-based tool for semi-automated data extraction that: 1) makes data extraction predictions with user verification, 2) integrates token-level annotations, and 3) connects extracted entities to support hierarchical data extra …
OBJECTIVES: To develop and evaluate a flexible, web-based tool for semi-automated data extraction that: 1) makes data extraction pred …
Live-cell imaging reveals the cellular dynamics in seed development.
Shin JM, Yuan L, Kawashima T. Shin JM, et al. Plant Sci. 2022 Dec;325:111485. doi: 10.1016/j.plantsci.2022.111485. Epub 2022 Oct 4. Plant Sci. 2022. PMID: 36206961 Review.
Live-cell imaging using advanced microscopy techniques enables us to decipher the dynamics of these events. Especially, the establishment of a less-invasive semi-in vivo live-cell imaging approach has allowed us to perform time-lapse analyses for long period observation of …
Live-cell imaging using advanced microscopy techniques enables us to decipher the dynamics of these events. Especially, the establishment of …
Drying Characteristics and Physicochemical Properties of Semi-Dried Restructured Sausage Depend on Initial Moisture Content.
Kim DH, Kim YJ, Shin DM, Lee JH, Han SG. Kim DH, et al. Food Sci Anim Resour. 2022 May;42(3):411-425. doi: 10.5851/kosfa.2022.e12. Epub 2022 May 1. Food Sci Anim Resour. 2022. PMID: 35611074 Free PMC article.
Semi-dried restructured sausages are restructured meat products with a high nutritional and economic value. However, excessively long drying times can have negative effects on the energy consumption, texture, and sensory properties of semi-dried restructured sausage
Semi-dried restructured sausages are restructured meat products with a high nutritional and economic value. However, excessively long
Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network.
Lee W, Shin K, Lee J, Yoo SJ, Yoon MA, Choi YW, Hong GS, Kim N, Paik S. Lee W, et al. J Korean Soc Radiol. 2022 Nov;83(6):1298-1311. doi: 10.3348/jksr.2021.0146. Epub 2022 Mar 21. J Korean Soc Radiol. 2022. PMID: 36545424 Free PMC article.
PURPOSE: To develop and validate a deep learning-based screening tool for the early diagnosis of scoliosis using chest radiographs with a semi-supervised generative adversarial network (GAN). MATERIALS AND METHODS: Using a semi-supervised learning framework with a G …
PURPOSE: To develop and validate a deep learning-based screening tool for the early diagnosis of scoliosis using chest radiographs with a …
395 results