Zobrazeno 1 - 10
of 7 450
pro vyhledávání: '"Myers A. J."'
This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating user sentiment and product experience. Utilizing gpt-4o-mini, a cost-e
Externí odkaz:
http://arxiv.org/abs/2411.13485
Lung injuries, such as ventilator-induced lung injury and radiation-induced lung injury, can lead to heterogeneous alterations in the biomechanical behavior of the lungs. While imaging methods, e.g., X-ray and static computed tomography (CT), can poi
Externí odkaz:
http://arxiv.org/abs/2407.03457
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Autor:
Deshpande, Rucha, Kelkar, Varun A., Gotsis, Dimitrios, Kc, Prabhat, Zeng, Rongping, Myers, Kyle J., Brooks, Frank J., Anastasio, Mark A.
The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report. The goal of this challenge was to promote the development of deep generative models (DGMs) for medica
Externí odkaz:
http://arxiv.org/abs/2405.01822
Autor:
Wassermann, Nathan A., Li, Yongchang, Myers, Alexander J., Kantzos, Christopher A., Smith, Timothy M., Beuth, Jack L., Malen, Jonathan A., Shao, Lin, McGaughey, Alan J. H., Narra, Sneha P.
Previous work on additively-manufactured oxide dispersion strengthened alloys focused on experimental approaches, resulting in larger dispersoid sizes and lower number densities than can be achieved with conventional powder metallurgy. To improve the
Externí odkaz:
http://arxiv.org/abs/2310.12416
Autor:
Golebiewski Martin, Bader Gary, Gleeson Padraig, Gorochowski Thomas E., Keating Sarah M., König Matthias, Myers Chris J., Nickerson David P., Sommer Björn, Waltemath Dagmar, Schreiber Falk
Publikováno v:
Journal of Integrative Bioinformatics, Vol 21, Iss 1, Pp 1-6 (2024)
Externí odkaz:
https://doaj.org/article/09758323b0ca4712997ca89002e677c9
Autor:
Whitney, Heather M., Baughan, Natalie, Myers, Kyle J., Drukker, Karen, Gichoya, Judy, Bower, Brad, Chen, Weijie, Gruszauskas, Nicholas, Kalpathy-Cramer, Jayashree, Koyejo, Sanmi, Sá, Rui C., Sahiner, Berkman, Zhang, Zi, Giger, Maryellen L.
Purpose: The Medical Imaging and Data Resource Center (MIDRC) open data commons was launched to accelerate the development of artificial intelligence (AI) algorithms to help address the COVID-19 pandemic. The purpose of this study was to quantify lon
Externí odkaz:
http://arxiv.org/abs/2303.10501
Autor:
Lyu, Qing, Tan, Josh, Zapadka, Michael E., Ponnatapura, Janardhana, Niu, Chuang, Myers, Kyle J., Wang, Ge, Whitlow, Christopher T.
The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on using ChatGPT to translate radiolog
Externí odkaz:
http://arxiv.org/abs/2303.09038
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
Autor:
Kelkar, Varun A., Gotsis, Dimitrios S., Brooks, Frank J., KC, Prabhat, Myers, Kyle J., Zeng, Rongping, Anastasio, Mark A.
In recent years, generative adversarial networks (GANs) have gained tremendous popularity for potential applications in medical imaging, such as medical image synthesis, restoration, reconstruction, translation, as well as objective image quality ass
Externí odkaz:
http://arxiv.org/abs/2204.12007
Autor:
Kelkar, Varun A., Gotsis, Dimitrios S., Brooks, Frank J., Myers, Kyle J., KC, Prabhat, Zeng, Rongping, Anastasio, Mark A.
Modern generative models, such as generative adversarial networks (GANs), hold tremendous promise for several areas of medical imaging, such as unconditional medical image synthesis, image restoration, reconstruction and translation, and optimization
Externí odkaz:
http://arxiv.org/abs/2204.03547
Autor:
Myers, Megan J., Xu, Zhen, Ryan, Benjamin J., DeMars, Zachary R., Ridder, Miranda J., Johnson, David K., Krute, Christina N., Flynn, Tony S., Kashipathy, Maithri M., Battaile, Kevin P., Schnicker, Nicholas, Lovell, Scott, Freudenthal, Bret D., Bose, Jeffrey L.
Publikováno v:
In Journal of Biological Chemistry December 2024 300(12)