Zobrazeno 1 - 10
of 302
pro vyhledávání: '"R. Mouton"'
Publikováno v:
IEEE Access, Vol 12, Pp 153221-153231 (2024)
Large language models (LLMs) have shown progress and promise in diverse applications ranging from the medical field to chat bots. Developing LLMs requires a large corpus of data and significant computation resources to achieve efficient learning. Fou
Externí odkaz:
https://doaj.org/article/e050081bcadb46528f36ff3f5bd3dd35
Autor:
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry Goldgof
Publikováno v:
IEEE Access, Vol 12, Pp 49122-49133 (2024)
There is a tendency for object detection systems using off-the-shelf algorithms to fail when deployed in complex scenes. The present work describes a case for detecting facial expression in post-surgical neonates (newborns) as a modality for predicti
Externí odkaz:
https://doaj.org/article/7d7dc1d056e445a6a37dff0c8c7005e1
Autor:
Anna Zavadakova, Lucie Vistejnova, Tereza Belinova, Filip Tichanek, Dagmar Bilikova, Peter R. Mouton
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Current methods for assessing cell proliferation in 3D scaffolds rely on changes in metabolic activity or total DNA, however, direct quantification of cell number in 3D scaffolds remains a challenge. To address this issue, we developed an un
Externí odkaz:
https://doaj.org/article/8fd049351eb34516b5b36ea9c0e0b837
Autor:
Md Sirajus Salekin, Peter R. Mouton, Ghada Zamzmi, Raj Patel, Dmitry Goldgof, Marcia Kneusel, Sammie L. Elkins, Eileen Murray, Mary E. Coughlin, Denise Maguire, Thao Ho, Yu Sun
Publikováno v:
Paediatric & Neonatal Pain, Vol 3, Iss 3, Pp 134-145 (2021)
Abstract The advent of increasingly sophisticated medical technology, surgical interventions, and supportive healthcare measures is raising survival probabilities for babies born premature and/or with life‐threatening health conditions. In the Unit
Externí odkaz:
https://doaj.org/article/e1bf6a462124447d8f54e5fa84268e58
Author Correction: Novel stereological method for estimation of cell counts in 3D collagen scaffolds
Autor:
Anna Zavadakova, Lucie Vistejnova, Tereza Belinova, Filip Tichanek, Dagmar Bilikova, Peter R. Mouton
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/77bb8256e5744a799ad98ab90992b89e
Autor:
Peter R. Mouton
This update to Peter R. Mouton's pioneering work provides bioscientists with the concepts needed in order to apply the principles and practices of unbiased stereology to research involving biological tissues.Mouton starts with a brief explanation of
Autor:
Hedvika Řimnáčová, Miriam Štiavnická, Jiří Moravec, Marouane Chemek, Yaroslav Kolinko, Olga García-Álvarez, Peter R. Mouton, Azalia Mariel Carranza Trejo, Tereza Fenclová, Nikola Eretová, Petr Hošek, Pavel Klein, Milena Králíčková, Jaroslav Petr, Jan Nevoral
Publikováno v:
Reproductive Biology and Endocrinology, Vol 18, Iss 1, Pp 1-10 (2020)
Abstract Background Bisphenol S (BPS) is increasingly used as a replacement for bisphenol A in the manufacture of products containing polycarbonates and epoxy resins. However, further studies of BPS exposure are needed for the assessment of health ri
Externí odkaz:
https://doaj.org/article/6383fe46f85d484badecea706be1fbb3
Publikováno v:
IEEE Access, Vol 8, Pp 211860-211868 (2020)
Deep learning training typically starts with a random sampling initialization approach to set the weights of trainable layers. Therefore, different and/or uncontrolled weight initialization prevents learning the same model multiple times. Consequentl
Externí odkaz:
https://doaj.org/article/103f4c853f7c467d83d71d74e0fb494e
Autor:
A. D. Kane, R. A. Armstrong, E. Kursumovic, T. M. Cook, F. C. Oglesby, L. Cortes, I. K. Moppett, S. R. Moonesinghe, S. Agarwal, D. C. Bouch, J. Cordingley, M. T. Davies, J. Dorey, S. J. Finney, G. Kunst, D. N. Lucas, G. Nickols, R. Mouton, J. P. Nolan, B. Patel, V. J. Pappachan, F. Plaat, K. Samuel, B. R. Scholefield, J. H. Smith, L. Varney, C. Vindrola‐Padros, S. Martin, E. C. Wain, S. W. Kendall, S. Ward, S. Drake, J. Lourtie, C. Taylor, J. Soar
Publikováno v:
Kane, A D, Armstrong, R A, Kursumovic, E, Cook, T M, Oglesby, F C, Moppett, I K, Moonesinghe, S R, Bouch, D C, Cordingley, J, Dorey, J, Finney, S J, Kunst, G, Nickols, G, Mouton, R, Nolan, J P, Pappachan, V J, Plaat, F, Samuel, K, Scholefield, B R, Varney, L, Vindrola-Padros, C, Wain, E C, Kendall, S W, Lourtie, J & Soar, J 2022, ' Methods of the 7th National Audit Project (NAP7) of the Royal College of Anaesthetists : peri-operative cardiac arrest ', Anaesthesia, vol. 77, no. 12, pp. 1376-1385 . https://doi.org/10.1111/anae.15856
Cardiac arrest in the peri-operative period is rare but associated with significant morbidity and mortality. Current reporting systems do not capture many such events, so there is an incomplete understanding of incidence and outcomes. As peri-operati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12c06567a575506dce2ea4ae6588a84d
https://doi.org/10.1111/anae.15856
https://doi.org/10.1111/anae.15856
Autor:
Palak Dave, Yaroslav Kolinko, Hunter Morera, Kurtis Allen, Saeed Alahmari, Dmitry Goldgof, Lawrence O. Hall, Peter R. Mouton
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f324a69c6f5aadddd2e78c500a9fdb94
https://doi.org/10.1117/12.2655627
https://doi.org/10.1117/12.2655627