Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1549 to 1555 of 1555 entries
Sorted by: Best Match Show Resources per page
Translational approaches for radiation risk assessment.

International journal of radiation biology

Al-Nabulsi I, Stricklin D.
PMID: 33196339
Int J Radiat Biol. 2021;97(1):1. doi: 10.1080/09553002.2020.1851547. Epub 2020 Dec 15.

No abstract available.

Cite
Al-Nabulsi I, Stricklin D. Translational approaches for radiation risk assessment. Int J Radiat Biol. 2020;97(1):1doi: 10.1080/09553002.2020.1851547.
Al-Nabulsi, I., & Stricklin, D. (2021). Translational approaches for radiation risk assessment. International journal of radiation biology, 97(1), 1. https://doi.org/10.1080/09553002.2020.1851547
Al-Nabulsi, Isaf, and Stricklin, Daniela. "Translational approaches for radiation risk assessment." International journal of radiation biology vol. 97,1 (2021): 1. doi: https://doi.org/10.1080/09553002.2020.1851547
Al-Nabulsi I, Stricklin D. Translational approaches for radiation risk assessment. Int J Radiat Biol. 2021;97(1):1. doi: 10.1080/09553002.2020.1851547. Epub 2020 Dec 15. PMID: 33196339.
Copy Download .nbib Format: NLM
El daño colateral de la atención de la pandemia de COVID-19.

Cirugia y cirujanos

Abdo-Francis JM, Bosques-Padilla FJ, Gutiérrez-Castrellón P, Sobrino-Cossío SR.
PMID: 33254190
Cir Cir. 2020;88(6):799-804. doi: 10.24875/CIRU.20000647.

Throughout history, pandemics have had a major impact on humanity. The measures used to combat them cause collateral damage. During the COVID-19 pandemic, the actions taken to reduce the exposure, the number of infections, and the case fatality rate...

Cite
Abdo-Francis JM, Bosques-Padilla FJ, Gutiérrez-Castrellón P, et al. Collateral damage during the attention for COVID-19 pandemic. El daño colateral de la atención de la pandemia de COVID-19. Cir Cir. 2020;88(6):799-804doi: 10.24875/CIRU.20000647.
Abdo-Francis, J. M., Bosques-Padilla, F. J., Gutiérrez-Castrellón, P., & Sobrino-Cossío, S. R. (2020). Collateral damage during the attention for COVID-19 pandemic. El daño colateral de la atención de la pandemia de COVID-19. Cirugia y cirujanos, 88(6), 799-804. https://doi.org/10.24875/CIRU.20000647
Abdo-Francis, Juan M, et al. "Collateral damage during the attention for COVID-19 pandemic." El daño colateral de la atención de la pandemia de COVID-19. Cirugia y cirujanos vol. 88,6 (2020): 799-804. doi: https://doi.org/10.24875/CIRU.20000647
Abdo-Francis JM, Bosques-Padilla FJ, Gutiérrez-Castrellón P, Sobrino-Cossío SR. Collateral damage during the attention for COVID-19 pandemic. El daño colateral de la atención de la pandemia de COVID-19. Cir Cir. 2020;88(6):799-804. doi: 10.24875/CIRU.20000647. PMID: 33254190.
Copy Download .nbib Format: NLM
Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years.

Practical radiation oncology

Mancosu P, Signori C, Clerici E, Comito T, D'Agostino GR, Franceschini D, Franzese C, Lobefalo F, Navarria P, Paganini L, Reggiori G, Tomatis S, Scorsetti M.
PMID: 33197646
Pract Radiat Oncol. 2021 May-Jun;11(3):e329-e338. doi: 10.1016/j.prro.2020.11.002. Epub 2020 Nov 13.

PURPOSE: Failure mode effect analysis (FMEA) is a proactive methodology that allows one to analyze a process, regardless of whether an adverse event occurs. In our radiation therapy (RT) department, a first FMEA was performed in 2009. In this...

Cite
Mancosu P, Signori C, Clerici E, et al. Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years. Pract Radiat Oncol. 2020;11(3):e329-e338doi: 10.1016/j.prro.2020.11.002.
Mancosu, P., Signori, C., Clerici, E., Comito, T., D'Agostino, G. R., Franceschini, D., Franzese, C., Lobefalo, F., Navarria, P., Paganini, L., Reggiori, G., Tomatis, S., & Scorsetti, M. (2021). Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years. Practical radiation oncology, 11(3), e329-e338. https://doi.org/10.1016/j.prro.2020.11.002
Mancosu, Pietro, et al. "Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years." Practical radiation oncology vol. 11,3 (2021): e329-e338. doi: https://doi.org/10.1016/j.prro.2020.11.002
Mancosu P, Signori C, Clerici E, Comito T, D'Agostino GR, Franceschini D, Franzese C, Lobefalo F, Navarria P, Paganini L, Reggiori G, Tomatis S, Scorsetti M. Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years. Pract Radiat Oncol. 2021 May-Jun;11(3):e329-e338. doi: 10.1016/j.prro.2020.11.002. Epub 2020 Nov 13. PMID: 33197646.
Copy Download .nbib Format: NLM
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Trajanovski S, Mavroeidis D, Swisher CL, Gebre BG, Veeling BS, Wiemker R, Klinder T, Tahmasebi A, Regis SM, Wald C, McKee BJ, Flacke S, MacMahon H, Pien H.
PMID: 33895622
Comput Med Imaging Graph. 2021 Jun;90:101883. doi: 10.1016/j.compmedimag.2021.101883. Epub 2021 Mar 05.

PURPOSE: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and large population studies have indicated that low-dose computed tomography (CT) screening of the...

Cite
Trajanovski S, Mavroeidis D, Swisher CL, et al. Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. Comput Med Imaging Graph. 2021;90:101883doi: 10.1016/j.compmedimag.2021.101883.
Trajanovski, S., Mavroeidis, D., Swisher, C. L., Gebre, B. G., Veeling, B. S., Wiemker, R., Klinder, T., Tahmasebi, A., Regis, S. M., Wald, C., McKee, B. J., Flacke, S., MacMahon, H., & Pien, H. (2021). Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 90101883. https://doi.org/10.1016/j.compmedimag.2021.101883
Trajanovski, Stojan, et al. "Towards radiologist-level cancer risk assessment in CT lung screening using deep learning." Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society vol. 90 (2021): 101883. doi: https://doi.org/10.1016/j.compmedimag.2021.101883
Trajanovski S, Mavroeidis D, Swisher CL, Gebre BG, Veeling BS, Wiemker R, Klinder T, Tahmasebi A, Regis SM, Wald C, McKee BJ, Flacke S, MacMahon H, Pien H. Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. Comput Med Imaging Graph. 2021 Jun;90:101883. doi: 10.1016/j.compmedimag.2021.101883. Epub 2021 Mar 05. PMID: 33895622.
Copy Download .nbib Format: NLM
The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror.

Journal of cardiac surgery

Dokollari A, Bisleri G, Patel DS, Kalra DK, Gelsomino S, Bonacchi M.
PMID: 33938593
J Card Surg. 2021 Aug;36(8):3004-3005. doi: 10.1111/jocs.15589. Epub 2021 May 03.

No abstract available.

Cite
Dokollari A, Bisleri G, Patel DS, et al. The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. J Card Surg. 2021;36(8):3004-3005doi: 10.1111/jocs.15589.
Dokollari, A., Bisleri, G., Patel, D. S., Kalra, D. K., Gelsomino, S., & Bonacchi, M. (2021). The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. Journal of cardiac surgery, 36(8), 3004-3005. https://doi.org/10.1111/jocs.15589
Dokollari, Aleksander, et al. "The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror." Journal of cardiac surgery vol. 36,8 (2021): 3004-3005. doi: https://doi.org/10.1111/jocs.15589
Dokollari A, Bisleri G, Patel DS, Kalra DK, Gelsomino S, Bonacchi M. The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. J Card Surg. 2021 Aug;36(8):3004-3005. doi: 10.1111/jocs.15589. Epub 2021 May 03. PMID: 33938593.
Copy Download .nbib Format: NLM
Biological risk assessment: A challenge for occupational safety and health practitioners during the COVID-19 (SARS-CoV-2) pandemic.

Work (Reading, Mass.)

Carvalhais C, Querido M, Pereira CC, Santos J.
PMID: 33998572
Work. 2021;69(1):3-13. doi: 10.3233/WOR-205302.

BACKGROUND: The COVID-19 global pandemic brought several challenges to occupational safety and health practice. One of these is the need to (re)assess the occupational risks, particularly, biological risks.OBJECTIVE: The purpose of this work is to promote guidance to occupational...

Cite
Carvalhais C, Querido M, Pereira CC, et al. Biological risk assessment: A challenge for occupational safety and health practitioners during the COVID-19 (SARS-CoV-2) pandemic. Work. 2021;69(1):3-13doi: 10.3233/WOR-205302.
Carvalhais, C., Querido, M., Pereira, C. C., & Santos, J. (2021). Biological risk assessment: A challenge for occupational safety and health practitioners during the COVID-19 (SARS-CoV-2) pandemic. Work (Reading, Mass.), 69(1), 3-13. https://doi.org/10.3233/WOR-205302
Carvalhais, Carlos, et al. "Biological risk assessment: A challenge for occupational safety and health practitioners during the COVID-19 (SARS-CoV-2) pandemic." Work (Reading, Mass.) vol. 69,1 (2021): 3-13. doi: https://doi.org/10.3233/WOR-205302
Carvalhais C, Querido M, Pereira CC, Santos J. Biological risk assessment: A challenge for occupational safety and health practitioners during the COVID-19 (SARS-CoV-2) pandemic. Work. 2021;69(1):3-13. doi: 10.3233/WOR-205302. PMID: 33998572.
Copy Download .nbib Format: NLM
Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments.

Environmental monitoring and assessment

Meral A, Eroğlu E.
PMID: 34297216
Environ Monit Assess. 2021 Jul 23;193(8):505. doi: 10.1007/s10661-021-09282-w.

The present study aims to use the Bingol city center and agricultural plain as a base in future flood management plans and scenarios through flood modeling. In accordance with this purpose, the precipitation map of the catchment was prepared...

Cite
Meral A, Eroğlu E. Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments. Environ Monit Assess. 2021;193(8):505doi: 10.1007/s10661-021-09282-w.
Meral, A., & Eroğlu, E. (2021). Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments. Environmental monitoring and assessment, 193(8), 505. https://doi.org/10.1007/s10661-021-09282-w
Meral, Alperen, and Eroğlu, Engin. "Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments." Environmental monitoring and assessment vol. 193,8 (2021): 505. doi: https://doi.org/10.1007/s10661-021-09282-w
Meral A, Eroğlu E. Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments. Environ Monit Assess. 2021 Jul 23;193(8):505. doi: 10.1007/s10661-021-09282-w. PMID: 34297216.
Copy Download .nbib Format: NLM
Showing 1549 to 1555 of 1555 entries