Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Carlos Sjogreen"'
Autor:
Hana Baroudi, Xinru Chen, Wenhua Cao, Mohammad D. El Basha, Skylar Gay, Mary Peters Gronberg, Soleil Hernandez, Kai Huang, Zaphanlene Kaffey, Adam D. Melancon, Raymond P. Mumme, Carlos Sjogreen, January Y. Tsai, Cenji Yu, Laurence E. Court, Ramiro Pino, Yao Zhao
Publikováno v:
Journal of Imaging, Vol 9, Iss 11, p 245 (2023)
In this study, we aimed to enhance the contouring accuracy of cardiac pacemakers by improving their visualization using deep learning models to predict MV CBCT images based on kV CT or CBCT images. Ten pacemakers and four thorax phantoms were include
Externí odkaz:
https://doaj.org/article/bc25d1a54298439db150900bdb8b6edb
Autor:
Hana Baroudi, Kristy K. Brock, Wenhua Cao, Xinru Chen, Caroline Chung, Laurence E. Court, Mohammad D. El Basha, Maguy Farhat, Skylar Gay, Mary P. Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A. Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J. Netherton, Callistus M. Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M. Salazar, Mihir D. Shanker, Carlos Sjogreen, McKell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 667 (2023)
Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is ‘clinical acceptability’? Quantitative and
Externí odkaz:
https://doaj.org/article/40f5b47ffd174f79a5e76c244f198726
Autor:
Martín Espitia, Carlos Sjogreen, Nelson Rodríguez, Jeimy Calderón, Alisson Benavides, Ricardo Peraza, Geraldine Espitia, Ricardo Nemocon
Publikováno v:
Revista UIS Ingenierías, Vol 17, Iss 2 (2018)
Fibers of natural origin have been implemented as reinforcement materials in different areas; hence, it is important to know their properties. In this paper, the results of the physical, chemical, and mechanical characterization of natural fibers of
Externí odkaz:
https://doaj.org/article/245785fd0b9c4960907274231b91c13a
Autor:
Soleil Hernandez, Raymond Mumme, Laurence Court, Daniel El Basha, Skylar Gay, Barbara Marquez, Yao Xiao, Kai Huang, Hana Baroudi, Wenhua Cao, Carlos Cardenas, Raphael Douglas, Jack Duryea, Zaphanlene Kaffey, Deborah Mann, Kelly Nealon, Tucker Netheron, Callistus Nguyen, Kyuhak Oh, Adenike Olanrewaju, Carlos Sjogreen, DJ Rhee, Jinzhong Yang, Cenji Yu, Lifei Zhang, Yao Zhao, Hamid Ziyaee, Mary Gronberg
PurposeMotivated by perceived dissatisfaction within our lab’s changed working environment brought about by the COVID-19 pandemic, we performed a self-assessment of our lab culture through anonymous surveys and live sessions.MethodsIn Survey 1, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d32631d52c5f3fdd1f7c041691ba63e
https://doi.org/10.1101/2021.12.08.471870
https://doi.org/10.1101/2021.12.08.471870
Autor:
Skylar S. Gay, Cenji Yu, Dong Joo Rhee, Carlos Sjogreen, Raymond P. Mumme, Callistus M. Nguyen, Tucker J. Netherton, Carlos E. Cardenas, Laurence E. Court
Publikováno v:
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data ISBN: 9783030718268
MICCAI (Challenges)
MICCAI (Challenges)
Careful delineation of normal-tissue organs-at-risk is essential for brain tumor radiotherapy. However, this process is time-consuming and subject to variability. In this work, we propose a multi-modality framework that automatically segments eleven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab20ecb65f5886d60c71fa6c6cfa6012
https://doi.org/10.1007/978-3-030-71827-5_6
https://doi.org/10.1007/978-3-030-71827-5_6
Autor:
Martín Espitia, Alisson Benavides, Ricardo Nemocon, Nelson R. Rodríguez, Carlos Sjogreen, Geraldine Espitia, Jeimy Calderón, Corporación Universitaria Minuto de Dios, Ricardo Peraza
Publikováno v:
Revista UIS Ingenierías, Vol 17, Iss 2 (2018)
Fibers of natural origin have been implemented as reinforcement materials in different areas; hence, it is important to know their properties. In this paper, the results of the physical, chemical, and mechanical characterization of natural fibers of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c16a12c16af7ac492cea67198f9fd9e
https://doi.org/10.18273/revuin.v17n2-2018003
https://doi.org/10.18273/revuin.v17n2-2018003
Autor:
Soleil Hernandez, Carlos Sjogreen, Skylar S. Gay, Callistus Nguyen, Tucker Netherton, Adenike Olanrewaju, Lifei Joy Zhang, Dong Joo Rhee, José David Méndez, Laurence E. Court, Carlos E. Cardenas
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Purpose We conducted our study to develop a tool capable of automatically detecting dental artifacts in a CT scan on a slice-by-slice basis and to assess the dosimetric impact of implementing the tool into the Radiation Planning Assistant (RPA), a we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4749abc020170b4e351aafb27abe76ae
https://doi.org/10.1016/j.compmedimag.2021.101907
https://doi.org/10.1016/j.compmedimag.2021.101907