Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Lago, Miguel"'
Autor:
Kim, Andrea, Saharkhiz, Niloufar, Sizikova, Elena, Lago, Miguel, Sahiner, Berkman, Delfino, Jana, Badano, Aldo
Development of artificial intelligence (AI) techniques in medical imaging requires access to large-scale and diverse datasets for training and evaluation. In dermatology, obtaining such datasets remains challenging due to significant variations in pa
Externí odkaz:
http://arxiv.org/abs/2408.00191
Autor:
Sizikova, Elena, Badal, Andreu, Delfino, Jana G., Lago, Miguel, Nelson, Brandon, Saharkhiz, Niloufar, Sahiner, Berkman, Zamzmi, Ghada, Badano, Aldo
A key challenge for the development and deployment of artificial intelligence (AI) solutions in radiology is solving the associated data limitations. Obtaining sufficient and representative patient datasets with appropriate annotations may be burdens
Externí odkaz:
http://arxiv.org/abs/2407.01561
Autor:
Sizikova, Elena, Saharkhiz, Niloufar, Sharma, Diksha, Lago, Miguel, Sahiner, Berkman, Delfino, Jana G., Badano, Aldo
To generate evidence regarding the safety and efficacy of artificial intelligence (AI) enabled medical devices, AI models need to be evaluated on a diverse population of patient cases, some of which may not be readily available. We propose an evaluat
Externí odkaz:
http://arxiv.org/abs/2310.18494
Autor:
Thompson, Yee Lam Elim, Levine, Gary M, Chen, Weijie, Sahiner, Berkman, Li, Qin, Petrick, Nicholas, Delfino, Jana G, Lago, Miguel A, Cao, Qian, Samuelson, Frank W
In the past decade, Artificial Intelligence (AI) algorithms have made promising impacts to transform healthcare in all aspects. One application is to triage patients' radiological medical images based on the algorithm's binary outputs. Such AI-based
Externí odkaz:
http://arxiv.org/abs/2303.07050
Autor:
Ben-Yelun, Ismael, Diaz-Lago, Miguel, Saucedo-Mora, Luis, Sanz, Miguel Angel, Callado, Ricardo, Montans, Francisco Javier
Applications of Structural Health Monitoring (SHM) combined with Machine Learning (ML) techniques enhance real-time performance tracking and increase structural integrity awareness of civil, aerospace and automotive infrastructures. This SHM-ML syner
Externí odkaz:
http://arxiv.org/abs/2210.10783
A recently proposed model observer mimics the foveated nature of the human visual system by processing the entire image with varying spatial detail, executing eye movements and scrolling through slices. The model can predict how human search performa
Externí odkaz:
http://arxiv.org/abs/2102.05178
Model observers have a long history of success in predicting human observer performance in clinically-relevant detection tasks. New 3D image modalities provide more signal information but vastly increase the search space to be scrutinized. Here, we c
Externí odkaz:
http://arxiv.org/abs/2011.01405
Akademický článek
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Akademický článek
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Autor:
Ben-Yelun, Ismael, Díaz-Lago, Miguel, Saucedo-Mora, Luis, Sanz, Miguel Ángel, Callado, Ricardo, Montáns, Francisco Javier
Publikováno v:
In Engineering Structures 15 May 2023 283
