Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Sanchez, Lorena"'
Autor:
Schwarzhans, Florian, George, Geevarghese, Sanchez, Lorena Escudero, Zaric, Olgica, Abraham, Jean E, Woitek, Ramona, Hatamikia, Sepideh
Radiomics analysis has emerged as a promising approach for extracting quantitative features from medical images to aid in cancer diagnosis and treatment. However, radiomics research currently lacks standardization, and radiomics features can be highl
Externí odkaz:
http://arxiv.org/abs/2406.01736
Autor:
Sanchez, Lorena Marina, Woolfson, Olga
Publikováno v:
Contexto: Revista de la Facultad de Arquitectura Universidad Autónoma de Nuevo León, Vol 10, Iss 12, Pp 29-38 (2016)
The early declaration of Quito as a World Heritage site in 1978, makes this city a Latin American example with a remarkable preservationist experience. Its Historical Centre composes a blend of periods and goods, emphasizing on the presence of Spanis
Externí odkaz:
https://doaj.org/article/3462811ab37d42b0991a421668889f3d
Quantitative cancer image analysis relies on the accurate delineation of tumours, a very specialised and time-consuming task. For this reason, methods for automated segmentation of tumours in medical imaging have been extensively developed in recent
Externí odkaz:
http://arxiv.org/abs/2212.02854
Autor:
Buddenkotte, Thomas, Sanchez, Lorena Escudero, Crispin-Ortuzar, Mireia, Woitek, Ramona, McCague, Cathal, Brenton, James D., Öktem, Ozan, Sala, Evis, Rundo, Leonardo
Uncertainty quantification in automated image analysis is highly desired in many applications. Typically, machine learning models in classification or segmentation are only developed to provide binary answers; however, quantifying the uncertainty of
Externí odkaz:
http://arxiv.org/abs/2209.09563
Autor:
Manzano-Sánchez, Lorena, Díaz-Galiano, Francisco José, Martínez, José Antonio, Ferrer, Carmen, Fernández-Alba, Amadeo Rodríguez
Publikováno v:
In Talanta 1 October 2024 278
Autor:
Bai, Xiang, Wang, Hanchen, Ma, Liya, Xu, Yongchao, Gan, Jiefeng, Fan, Ziwei, Yang, Fan, Ma, Ke, Yang, Jiehua, Bai, Song, Shu, Chang, Zou, Xinyu, Huang, Renhao, Zhang, Changzheng, Liu, Xiaowu, Tu, Dandan, Xu, Chuou, Zhang, Wenqing, Wang, Xi, Chen, Anguo, Zeng, Yu, Yang, Dehua, Wang, Ming-Wei, Holalkere, Nagaraj, Halin, Neil J., Kamel, Ihab R., Wu, Jia, Peng, Xuehua, Wang, Xiang, Shao, Jianbo, Mongkolwat, Pattanasak, Zhang, Jianjun, Liu, Weiyang, Roberts, Michael, Teng, Zhongzhao, Beer, Lucian, Sanchez, Lorena Escudero, Sala, Evis, Rubin, Daniel, Weller, Adrian, Lasenby, Joan, Zheng, Chuangsheng, Wang, Jianming, Li, Zhen, Schönlieb, Carola-Bibiane, Xia, Tian
Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses. However, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable cha
Externí odkaz:
http://arxiv.org/abs/2111.09461
Autor:
Brailovsky, Peter1 (AUTHOR) peter.brailovsky@ise.fraunhofer.de, Sanchez, Lorena1 (AUTHOR), Subasi, Dilara1 (AUTHOR), Rentsch, Jochen1 (AUTHOR), Preu, Ralf1 (AUTHOR), Nold, Sebastian1 (AUTHOR)
Publikováno v:
Energies (19961073). Jun2024, Vol. 17 Issue 11, p2540. 21p.
Autor:
Jiménez-Sánchez, Lorena, Blesa Cábez, Manuel, Vaher, Kadi, Corrigan, Amy, Thrippleton, Michael J., Bastin, Mark E., Quigley, Alan J., Fletcher-Watson, Sue, Boardman, James P.
Publikováno v:
In Developmental Cognitive Neuroscience June 2024 67
Autor:
Carrera, Maria Antonietta, Sánchez, Lorena Manzano, Morales, María Murcia, Fernández-Alba, Amadeo R., Hernando, María Dolores
Publikováno v:
In Food Chemistry 15 March 2024 436
Autor:
Kang, Yifei, Oba, Patricia M., Gaulke, Christopher A., Sánchez-Sánchez, Lorena, Swanson, Kelly S.
Publikováno v:
In The Journal of Nutrition November 2023 153(11):3220-3236