Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Olmo Zavala"'
Autor:
Jianguo Yuan, Jun‐Hong Liang, Eric P. Chassignet, Olmo Zavala‐Romero, Xiaoliang Wan, Meghan F. Cronin
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 9, Pp n/a-n/a (2024)
Abstract This study utilizes Deep Neural Networks (DNN) to improve the K‐Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11‐year turbulen
Externí odkaz:
https://doaj.org/article/188ffd0ec2c44e9cb13b514d57a4b0eb
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2234 (2024)
During the period of 2018–2022, there were six named Loop Current Eddy (LCE) shedding events in the central Gulf of Mexico (GoM). LCEs form when a large anticyclonic eddy (AE) separates from the main Loop Current (LC) and propagates westward. In do
Externí odkaz:
https://doaj.org/article/287046e599474c4d9ec4485a1b236005
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 319 (2024)
The persistent increase in marine plastic litter has become a major global concern, with one of the highest plastic concentrations in the world’s oceans found in the Wider Caribbean Region (WCR). In this study, we use marine plastic litter tracking
Externí odkaz:
https://doaj.org/article/83963b039ff24719ac9c54d4306f5d0d
Autor:
Adrian L. Breto, Benjamin Spieler, Olmo Zavala-Romero, Mohammad Alhusseini, Nirav V. Patel, David A. Asher, Isaac R. Xu, Jacqueline B. Baikovitz, Eric A. Mellon, John C. Ford, Radka Stoyanova, Lorraine Portelance
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Background/HypothesisMRI-guided online adaptive radiotherapy (MRI-g-OART) improves target coverage and organs-at-risk (OARs) sparing in radiation therapy (RT). For patients with locally advanced cervical cancer (LACC) undergoing RT, changes in bladde
Externí odkaz:
https://doaj.org/article/f416a47054234a139ea7e17848c6709f
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Plastic is the most abundant type of marine litter and it is found in all of the world’s oceans and seas, even in remote areas far from human activities. It is a major concern because plastics remain in the oceans for a long time. To address questi
Externí odkaz:
https://doaj.org/article/141cecea63a94048881d6f20ffe24b66
Autor:
Mohammed R. S. Sunoqrot, Kirsten M. Selnæs, Elise Sandsmark, Gabriel A. Nketiah, Olmo Zavala-Romero, Radka Stoyanova, Tone F. Bathen, Mattijs Elschot
Publikováno v:
Diagnostics, Vol 10, Iss 9, p 714 (2020)
Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial s
Externí odkaz:
https://doaj.org/article/0cf7d7df410e405b92bf59f478f3b2e4
Autor:
Ruth S Sonnweber, Nina Stobbe, Olmo Zavala Romero, Dennis E Slice, Martin Fieder, Bernard Wallner
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e67521 (2013)
Analyzing soft-tissue structures is particularly challenging due to the lack of homologous landmarks that can be reliably identified across time and specimens. This is particularly true when data are to be collected under field conditions. Here, we p
Externí odkaz:
https://doaj.org/article/62664054f0d54f97a701f6444c135efc
Autor:
Olmo Zavala-Romero, Adrian L. Breto, Radka Stoyanova, K. Cullison, Eric A. Mellon, K. Jones, John C. Ford
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 111:e89-e90
Purpose/Objective(s) Recently identified changes in brain during daily MRI-guided radiation therapy (MRgRT) of patients with glioblastoma (GBM) can permit adaptive radiotherapy. However, daily changes can be subtle to detect and difficult to evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4abf2e3afda7dc6ffd30a28e65d23ce
https://doi.org/10.1016/j.ijrobp.2021.07.469
https://doi.org/10.1016/j.ijrobp.2021.07.469
Autor:
Elise Sandsmark, Kirsten Margrete Selnæs, Olmo Zavala-Romero, Tone Frost Bathen, Mattijs Elschot, Gabriel Nketiah, Mohammed R. S. Sunoqrot, Radka Stoyanova
Publikováno v:
Diagnostics (Basel)
Diagnostics, Vol 10, Iss 714, p 714 (2020)
Diagnostics; Volume 10; Issue 9; Pages: 714
Diagnostics
Diagnostics, Vol 10, Iss 714, p 714 (2020)
Diagnostics; Volume 10; Issue 9; Pages: 714
Diagnostics
Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6dd55ad216406d20eaa7a6e9f782a40
https://hdl.handle.net/11250/2679703
https://hdl.handle.net/11250/2679703
Autor:
Matthew C. Abramowitz, Yu Cherng C. Chang, I.R. Xu, Adrian L. Breto, Alan Dal Pra, Radka Stoyanova, Olmo Zavala-Romero, Alan Pollack, Nicole Gautney
Publikováno v:
Strahlenther Onkol
PURPOSE: Develop a deep-learning-based segmentation algorithm for prostate and its peripheral zone (PZ) that is reliable across multiple MRI vendors. METHODS: This is a retrospective study. The dataset consisted of 550 MRIs (Siemens-330, General Elec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b10e0b2086a987f24eeeeb83c49fe9
https://pubmed.ncbi.nlm.nih.gov/32221622
https://pubmed.ncbi.nlm.nih.gov/32221622