Zobrazeno 1 - 10
of 1 824
pro vyhledávání: '"M, Reinhardt"'
Autor:
A. Anghelea, E. Dobrowolska, G. Brandt, M. Reinhardt, M. Mahecha, T. Morbagal Harish, S. Meissl
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 13-18 (2024)
The Deep Earth System Data Lab (DeepESDL) provides an AI-ready, collaborative environment for researchers aiming to study the Earth's complex dynamics using various datasets and empirical approaches. Recently opened to Early Adopters, it builds on pr
Externí odkaz:
https://doaj.org/article/6db3200d2b36481e86a9a4f711908a2e
Autor:
H. Drake, W. R. M. Makahnouk, N. M. W. Roberts, M. Reinhardt, E. Henkemans, S. K. Frape, E.‐L. Tullborg, C. Broman, M. J. Whitehouse, E. Kooijman
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 9, Pp n/a-n/a (2024)
Abstract Deep fracture‐hosted fluids of Precambrian bedrock cratons are relatively stagnant over long time spans compared to near‐surface systems. However, episodic events, such as fracture reactivations, transgressions, and deglaciations, may in
Externí odkaz:
https://doaj.org/article/cba7687b716b479ba6da09fc070941a1
Autor:
S. Schermer, C. Helke, M. Reinhardt, S. Hartmann, F. Tank, J. Wecker, G. Heldt, A. Voigt, D. Reuter
Publikováno v:
Micro and Nano Engineering, Vol 23, Iss , Pp 100264- (2024)
In this paper the characterization of the mr-EBL 6000.5, which is an epoxy resin based chemically amplified negative tone resist from micro resist technology (Germany, Berlin) for an Intra-Level Mix & Match (ILM&M) approach is presented. The ILM&M ap
Externí odkaz:
https://doaj.org/article/85b67882f0a44dc19ef28076d355b3a3
Autor:
Zachary W. Althof, Sarah E. Gerard, Ali Eskandari, Mauricio S. Galizia, Eric A. Hoffman, Joseph M. Reinhardt
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Computed Tomography (CT) imaging is routinely used for imaging of the lungs. Deep learning can effectively automate complex and laborious tasks in medical imaging. In this work, a deep learning technique is utilized to assess lobar fissure c
Externí odkaz:
https://doaj.org/article/32528a6b72e845c2b47daf02f0fcb128
Autor:
Mattison J. Flakus, Antonia E. Wuschner, Eric M. Wallat, Melissa Graham, Wei Shao, Dhanansayan Shanmuganayagam, Gary E. Christensen, Joseph M. Reinhardt, John E. Bayouth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Imaging biomarkers can assess disease progression or prognoses and are valuable tools to help guide interventions. Particularly in lung imaging, biomarkers present an opportunity to extract regional information that is more robust to the pat
Externí odkaz:
https://doaj.org/article/5b3b4ea48be2419382b012b6c19ac39d
Autor:
Arlind B. Mara, Tyler D. Gavitt, Edan R. Tulman, Jeremy M. Miller, Wu He, Emily M. Reinhardt, R. Grace Ozyck, Meagan L. Goodridge, Lawrence K. Silbart, Steven M. Szczepanek, Steven J. Geary
Publikováno v:
npj Vaccines, Vol 7, Iss 1, Pp 1-14 (2022)
Abstract Bacterial lipoproteins are an often-underappreciated class of microbe-associated molecular patterns with potent immunomodulatory activity. We previously reported that vaccination of BALB/c mice with Mycoplasma pneumoniae (Mp) lipid-associate
Externí odkaz:
https://doaj.org/article/3fe004bc8b8c4a48b7487794ec839411
Autor:
Mattison J. Flakus, Antonia E. Wuschner, Eric M. Wallat, Wei Shao, Dhanansayan Shanmuganayagam, Gary E. Christensen, Joseph M. Reinhardt, Ke Li, John E. Bayouth
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Purpose: To quantify the impact of image noise on CT-based lung ventilation biomarkers calculated using Jacobian determinant techniques.Methods: Five mechanically ventilated swine were imaged on a multi-row CT scanner with acquisition parameters of 1
Externí odkaz:
https://doaj.org/article/175aa3de6f6840d2a01491a3df35cdd5
Autor:
Antonia E. Wuschner, Mattison J. Flakus, Eric M. Wallat, Joseph M. Reinhardt, Dhanansayan Shanmuganayagam, Gary E Christensen, Sarah E. Gerard, John E. Bayouth
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Vessel segmentation in the lung is an ongoing challenge. While many methods have been able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the presence of abnormalities. Following radiotherapy, these methods tend
Externí odkaz:
https://doaj.org/article/8da892dc65ee47bd9f4a098619bf5eb5
Autor:
Antonia E. Wuschner, Eric M. Wallat, Mattison J. Flakus, Dhanansayan Shanmuganayagam, Jennifer Meudt, Gary E. Christensen, Joseph M. Reinhardt, Jessica R. Miller, Michael J. Lawless, Andrew M. Baschnagel, John E. Bayouth
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract To analyze radiation induced changes in Hounsfield units and determine their correlation with changes in perfusion and ventilation. Additionally, to compare the post-RT changes in human subjects to those measured in a swine model used to qua
Externí odkaz:
https://doaj.org/article/07372b9f29ca48a28cc4584233a4001c
Autor:
Sarah E. Gerard, Jacob Herrmann, Yi Xin, Kevin T. Martin, Emanuele Rezoagli, Davide Ippolito, Giacomo Bellani, Maurizio Cereda, Junfeng Guo, Eric A. Hoffman, David W. Kaczka, Joseph M. Reinhardt
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approa
Externí odkaz:
https://doaj.org/article/67123f2fad0c4e4f98f42b8ab456559b