Zobrazeno 1 - 10
of 4 285
pro vyhledávání: '"Hoffman,Eric"'
Autor:
Wysoczanski, Artur, Ettehadi, Nabil, Arabshahi, Soroush, Sun, Yifei, Stukovsky, Karen Hinkley, Watson, Karol E., Han, MeiLan K., Michos, Erin D, Comellas, Alejandro P., Hoffman, Eric A., Laine, Andrew F., Barr, R. Graham, Angelini, Elsa D.
Pulmonary emphysema, the progressive, irreversible loss of lung tissue, is conventionally categorized into three subtypes identifiable on pathology and on lung computed tomography (CT) images. Recent work has led to the unsupervised learning of ten s
Externí odkaz:
http://arxiv.org/abs/2403.00257
Autor:
Naik, Sneha N., Angelini, Elsa D., Barr, R. Graham, Allen, Norrina, Bertoni, Alain, Hoffman, Eric A., Manichaikul, Ani, Pankow, Jim, Post, Wendy, Sun, Yifei, Watson, Karol, Smith, Benjamin M., Laine, Andrew F.
High-resolution full lung CT scans now enable the detailed segmentation of airway trees up to the 6th branching generation. The airway binary masks display very complex tree structures that may encode biological information relevant to disease risk a
Externí odkaz:
http://arxiv.org/abs/2402.18615
Autor:
Zhang, Xuzhe, Angelini, Elsa D., Hoffman, Eric A., Watson, Karol E., Smith, Benjamin M., Barr, R. Graham, Laine, Andrew F.
Robust quantification of pulmonary emphysema on computed tomography (CT) remains challenging for large-scale research studies that involve scans from different scanner types and for translation to clinical scans. Existing studies have explored severa
Externí odkaz:
http://arxiv.org/abs/2402.18383
Machine Learning (ML) has recently been a skyrocketing field in Computer Science. As computer hardware engineers, we are enthusiastic about hardware implementations of popular software ML architectures to optimize their performance, reliability, and
Externí odkaz:
http://arxiv.org/abs/2306.13557
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:
De, Arijit, Das, Nirmal, Saha, Punam K., Comellas, Alejandro, Hoffman, Eric, Basu, Subhadip, Chakraborti, Tapabrata
Publikováno v:
In Methods September 2024 229:9-16