Zobrazeno 1 - 10
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pro vyhledávání: '"Reinhardt, Joseph M."'
Autor:
Carmo, Diedre S., Ribeiro, Jean A., Comellas, Alejandro P., Reinhardt, Joseph M., Gerard, Sarah E., Rittner, Letícia, Lotufo, Roberto A.
The COVID-19 pandemic response highlighted the potential of deep learning methods in facilitating the diagnosis, prognosis and understanding of lung diseases through automated segmentation of pulmonary structures and lesions in chest computed tomogra
Externí odkaz:
http://arxiv.org/abs/2312.02365
Autor:
Carmo, Diedre S., Tudas, Rosarie A., Comellas, Alejandro P., Rittner, Leticia, Lotufo, Roberto A., Reinhardt, Joseph M., Gerard, Sarah E.
Automated segmentation of lung abnormalities in computed tomography is an important step for diagnosing and characterizing lung disease. In this work, we improve upon a previous method and propose S-MEDSeg, a deep learning based approach for accurate
Externí odkaz:
http://arxiv.org/abs/2310.09446
Autor:
Chaudhary, Muhammad F. A., Gerard, Sarah E., Christensen, Gary E., Cooper, Christopher B., Schroeder, Joyce D., Hoffman, Eric A., Reinhardt, Joseph M.
Chest computed tomography (CT) at inspiration is often complemented by an expiratory CT to identify peripheral airways disease. Additionally, co-registered inspiratory-expiratory volumes can be used to derive various markers of lung function. Expirat
Externí odkaz:
http://arxiv.org/abs/2210.02625
Autor:
Sharifi, Husham, Bertini, Christopher D., Alkhunaizi, Mansour, Hernandez, Maria, Musa, Zayan, Borges, Carlos, Turk, Ihsan, Bashoura, Lara, Dickey, Burton F., Cheng, Guang-Shing, Yanik, Gregory, Galban, Craig J., Guo, Huawei Henry, Godoy, Myrna C. B., Reinhardt, Joseph M., Hoffman, Eric A., Castro, Mario, Rondon, Gabriela, Alousi, Amin M., Champlin, Richard E., Shpall, Elizabeth J., Lu, Ying, Peterson, Samuel, Datta, Keshav, Nicolls, Mark R., Hsu, Joe, Sheshadri, Ajay
Publikováno v:
In Blood Advances 8 October 2024 8(19):5156-5165
Autor:
Baschnagel, Andrew M. *, Flakus, Mattison J., Wallat, Eric M., Wuschner, Antonia E., Chappell, Richard J., Bayliss, R. Adam *, Kimple, Randall J. *, Christensen, Gary E., Reinhardt, Joseph M., Bassetti, Michael F. *, Bayouth, John E.
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 August 2024 119(5):1393-1402
Autor:
Chaudhary, Muhammad F. A., Gerard, Sarah E., Wang, Di, Christensen, Gary E., Cooper, Christopher B., Schroeder, Joyce D., Hoffman, Eric A., Reinhardt, Joseph M.
Local tissue expansion of the lungs is typically derived by registering computed tomography (CT) scans acquired at multiple lung volumes. However, acquiring multiple scans incurs increased radiation dose, time, and cost, and may not be possible in ma
Externí odkaz:
http://arxiv.org/abs/2110.07878
Autor:
Shao, Wei, Pan, Yue, Durumeric, Oguz C., Reinhardt, Joseph M., Bayouth, John E., Rusu, Mirabela, Christensen, Gary E.
Pulmonary respiratory motion artifacts are common in four-dimensional computed tomography (4DCT) of lungs and are caused by missing, duplicated, and misaligned image data. This paper presents a geodesic density regression (GDR) algorithm to correct m
Externí odkaz:
http://arxiv.org/abs/2106.06853
Autor:
Gerard, Sarah E., Herrmann, Jacob, Xin, Yi, Martin, Kevin T., Rezoagli, Emanuele, Ippolito, Davide, Bellani, Giacomo, Cereda, Maurizio, Guo, Junfeng, Hoffman, Eric A., Kaczka, David W., Reinhardt, Joseph M.
Publikováno v:
Sci Rep 11, 1455 (2021)
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 approach is pro
Externí odkaz:
http://arxiv.org/abs/2010.08582
Akademický článek
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Autor:
Flakus, Mattison J., Kent, Sean P., Wallat, Eric M., Wuschner, Antonia E., Tennant, Erica, Yadav, Poonam, Burr, Adam, Yu, Menggang, Christensen, Gary E, Reinhardt, Joseph M., Bayouth, John E., Baschnagel, Andrew M.
Publikováno v:
In Radiotherapy and Oncology May 2023 182