Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Scott J. Lee"'
Autor:
Sean P. Gordon, Bruno Contreras-Moreira, Joshua J. Levy, Armin Djamei, Angelika Czedik-Eysenberg, Virginia S. Tartaglio, Adam Session, Joel Martin, Amy Cartwright, Andrew Katz, Vasanth R. Singan, Eugene Goltsman, Kerrie Barry, Vinh Ha Dinh-Thi, Boulos Chalhoub, Antonio Diaz-Perez, Ruben Sancho, Joanna Lusinska, Elzbieta Wolny, Candida Nibau, John H. Doonan, Luis A. J. Mur, Chris Plott, Jerry Jenkins, Samuel P. Hazen, Scott J. Lee, Shengqiang Shu, David Goodstein, Daniel Rokhsar, Jeremy Schmutz, Robert Hasterok, Pilar Catalan, John P. Vogel
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Existing plant pan-genomic studies usually report considerable intraspecific whole gene presence-absence variation. Here, the authors use pan-genomic approach to reveal gradual polyploid genome evolution by analyzing of Brachypodium hybridum and its
Externí odkaz:
https://doaj.org/article/cc64c72bac854d8fbcca53abca35d3ac
Autor:
Jennifer R. Olins, Li Lin, Scott J. Lee, Gina M. Trabucco, Kirk J.-M. MacKinnon, Samuel P. Hazen
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Arabidopsis thaliana CELLULOSE SYNTHASE A4/7/8 (CESA4/7/8) are three non-redundant subunits of the secondary cell wall cellulose synthase complex. Transcript abundance of these genes can vary among genotypes and expression quantitative trait loci (eQ
Externí odkaz:
https://doaj.org/article/529c153c5c2f479393bbc6244355d5df
Autor:
Ludmila Tyler, Scott J. Lee, Nelson D. Young, Gregory A. DeIulio, Elena Benavente, Michael Reagon, Jessica Sysopha, Riccardo M. Baldini, Angelo Troìa, Samuel P. Hazen, Ana L. Caicedo
Publikováno v:
The Plant Genome, Vol 9, Iss 2 (2016)
The small, annual grass (L.) Beauv., a close relative of wheat ( L.) and barley ( L.), is a powerful model system for cereals and bioenergy grasses. Genome-wide association studies (GWAS) of natural variation can elucidate the genetic basis of comple
Externí odkaz:
https://doaj.org/article/33a23ed133194a44bf86ee2da59545bc
Autor:
Scott J, Lee, Sijian, Fan, Mian, Guo, Bill S, Majdalany, Janice, Newsome, Richard, Duszak, Judy, Gichoya, Elizabeth R, Benjamin, Nima, Kokabi
Publikováno v:
Clinical Imaging. 91:134-140
To determine relationships between prophylactic inferior vena cava filter (IVCF) insertion and pulmonary embolism (PE), deep venous thrombosis (DVT), and in-hospital mortality outcomes in patients with severe traumatic pelvic/lower extremity, intracr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0b3d23240137c05c5df06387c1f8516
https://doi.org/10.1016/j.clinimag.2022.08.003
https://doi.org/10.1016/j.clinimag.2022.08.003
Autor:
Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo De Cecco, Ali Adibi
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4e532b55c0ac75c75b60fbda6500c0
https://doi.org/10.1117/12.2653346
https://doi.org/10.1117/12.2653346
Autor:
Marly van Assen, Mohammadreza Zandehshahvar, Hossein Maleki, Yashar Kiarashi, Timothy Arleo, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Ali Adibi, Carlo N. De Cecco
Publikováno v:
The British Journal of Radiology. 95
Objective: The purpose was to evaluate reader variability between experienced and in-training radiologists of COVID-19 pneumonia severity on chest radiograph (CXR), and to create a multireader database suitable for AI development. Methods: In this st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd9ce66f3a2b8d0648d932b28a945353
https://doi.org/10.1259/bjr.20211028
https://doi.org/10.1259/bjr.20211028
Autor:
Ryan Zea, Jiamin Liu, Veit Sandfort, Perry J. Pickhardt, Peter M Graffy, Ronald M. Summers, Scott J. Lee
Publikováno v:
American Journal of Roentgenology. 216:85-92
Metabolic syndrome describes a constellation of reversible cardiometabolic abnormalities associated with cardiovascular risk and diabetes. The present study investigates the use of fully automated abdominal CT-based biometric measures for opportunist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8b088706634cfa8cbc978603dea0f10
https://doi.org/10.2214/ajr.20.23049
https://doi.org/10.2214/ajr.20.23049
Autor:
Marly van Assen, Giuseppe Muscogiuri, Damiano Caruso, Carlo N. De Cecco, Scott J. Lee, Andrea Laghi
Publikováno v:
La radiologia medica. 125:1186-1199
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a6cebeb5e4088971ca13cc00860ef92
https://doi.org/10.1007/s11547-020-01277-w
https://doi.org/10.1007/s11547-020-01277-w
Autor:
Marcello Chiocchi, Vincenzo De Stasio, Carlo N. De Cecco, Carlo Di Donna, Marco Guglielmo, Francesca Ricci, Luigi Spiritigliozzi, Scott J. Lee, Gianluca Pontone, Giuseppe Muscogiuri, Andrea Baggiano, Mark G. Rabbat, Marly van Assen, Stefano Scafuri
Publikováno v:
Journal of thoracic imaging. 37(1)
Ischemic cardiomyopathy (ICM) is one of the most common causes of congestive heart failure. In patients with ICM, tissue characterization with cardiac magnetic resonance imaging (CMR) allows for evaluation of myocardial abnormalities in acute and chr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dc527c88c483070af1c496c9a22eeea
https://pubmed.ncbi.nlm.nih.gov/34524203
https://pubmed.ncbi.nlm.nih.gov/34524203
Autor:
Caterina B. Monti, Marly van Assen, Arthur E. Stillman, Scott J. Lee, Philipp Hoelzer, George S. K. Fung, Francesco Secchi, Francesco Sardanelli, Carlo N. De Cecco
Publikováno v:
Radiol Artif Intell
The purpose of this work was to assess the performance of a convolutional neural network (CNN) for automatic thoracic aortic measurements in a heterogeneous population. From June 2018 to May 2019, this study retrospectively analyzed 250 chest CT scan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f877e0bff9079291c16695037622bece
https://pubmed.ncbi.nlm.nih.gov/35391773
https://pubmed.ncbi.nlm.nih.gov/35391773