Zobrazeno 1 - 10
of 275
pro vyhledávání: '"Nicholas, Petrick"'
Autor:
Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract A fundamental goal of evaluating the performance of a clinical model is to ensure it performs well across a diverse intended patient population. A primary challenge is that the data used in model development and testing often consist of many
Externí odkaz:
https://doaj.org/article/0dbaf911a51241f4974a46bfb135b97b
Autor:
Aubrey A. Shick, Christina M. Webber, Nooshin Kiarashi, Jessica P. Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C. Diamond
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/bae69ab9bb714938be4a040aa9230974
Publikováno v:
3D Printing in Medicine, Vol 9, Iss 1, Pp 1-15 (2023)
Abstract Background Bone health and fracture risk are known to be correlated with stiffness. Both micro-finite element analysis (μFEA) and mechanical testing of additive manufactured phantoms are useful approaches for estimating mechanical propertie
Externí odkaz:
https://doaj.org/article/fff6558d9eb14441bb1f7169abc2a49a
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-25 (2022)
Abstract Background The Basic Local Alignment Search Tool (BLAST) is a suite of commonly used algorithms for identifying matches between biological sequences. The user supplies a database file and query file of sequences for BLAST to find identical s
Externí odkaz:
https://doaj.org/article/af03fac0b2874e0db6aa7966ea0574d9
Publikováno v:
Natural Resources Research. 32:523-541
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::547c07739d274e55c10813baca0ad494
https://doi.org/10.1007/s11053-023-10164-w
https://doi.org/10.1007/s11053-023-10164-w
Autor:
Mike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S14, Pp 163-169 (2017)
Abstract Background Recent breakthroughs in molecular biology and next generation sequencing technologies have led to the expenential growh of the sequence databases. Researchrs use BLAST for processing these sequences. However traditional software p
Externí odkaz:
https://doaj.org/article/5f2e64c1170b4c9991707aa86ed3d110
Autor:
Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d78a0723840be8c6a3fa12edf17e10
https://doi.org/10.1117/12.2653989
https://doi.org/10.1117/12.2653989
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1cf1f122d731a3fa8aa134f0e25616
https://doi.org/10.1117/12.2653963
https://doi.org/10.1117/12.2653963
Publikováno v:
The British Journal of Radiology.
Data drift refers to differences between the data used in training a machine learning (ML) model and that applied to the model in real-world operation. Medical ML systems can be exposed to various forms of data drift, including differences between th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5204511a238d6c99c7e64ec4d34b44d
https://doi.org/10.1259/bjr.20220878
https://doi.org/10.1259/bjr.20220878
Autor:
Seyed M. M. Kahaki, Ian S. Hagemann, Kenny Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen
Publikováno v:
Proc SPIE Int Soc Opt Eng
Endometrial cancer (EC) is the most common gynecologic malignancy in the US and complex atypical hyperplasia (CAH) is considered a high-risk precursor to EC. Treatment options for CAH and early-stage EC include hormone therapies and hysterectomy with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adc0d9f12fdd6d9849dde33f842601f0
https://europepmc.org/articles/PMC10164282/
https://europepmc.org/articles/PMC10164282/
