Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Munoz-Barrutia A"'
Autor:
Gallego-Viñarás, Lorena, Mira-Tomás, Juan Miguel, Michela-Gaeta, Anna, Pinol-Ripoll, Gerard, Barbé, Ferrán, Olmos, Pablo M., Muñoz-Barrutia, Arrate
Alzheimer's disease (AD) and sleep disorders exhibit a close association, where disruptions in sleep patterns often precede the onset of Mild Cognitive Impairment (MCI) and early-stage AD. This study delves into the potential of utilizing sleep-relat
Externí odkaz:
http://arxiv.org/abs/2404.03549
Autor:
Zulueta-Coarasa, Teresa, Jug, Florian, Mathur, Aastha, Moore, Josh, Muñoz-Barrutia, Arrate, Anita, Liviu, Babalola, Kola, Bankhead, Pete, Gilloteaux, Perrine, Gogoberidze, Nodar, Jones, Martin, Kleywegt, Gerard J., Korir, Paul, Kreshuk, Anna, Yoldaş, Aybüke Küpcü, Marconato, Luca, Narayan, Kedar, Norlin, Nils, Oezdemir, Bugra, Riesterer, Jessica, Rzepka, Norman, Sarkans, Ugis, Serrano, Beatriz, Tischer, Christian, Uhlmann, Virginie, Ulman, Vladimír, Hartley, Matthew
Artificial Intelligence methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new methods, but access to such data is often hindered by the lack of standards for shar
Externí odkaz:
http://arxiv.org/abs/2311.10443
We present the BioImage$.$IO Chatbot, an AI assistant powered by Large Language Models and supported by a community-driven knowledge base and toolset. This chatbot is designed to cater to a wide range of user needs through a flexible extension mechan
Externí odkaz:
http://arxiv.org/abs/2310.18351
Autor:
de Haro, Carlos Garcia Lopez, Dallongeville, Stephane, Musset, Thomas, de Mariscal, Estibaliz Gomez, Sage, Daniel, Ouyang, Wei, Munoz-Barrutia, Arrate, Tinevez, Jean-Yves, Olivo-Marin, Jean-Christophe
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their installation and maintenance. JDLL provides all the functions require
Externí odkaz:
http://arxiv.org/abs/2306.04796
Autor:
Pablo Delgado-Rodriguez, Rodrigo Morales Sánchez, Elouan Rouméas-Noël, François Paris, Arrate Munoz-Barrutia
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular cell population videos i
Externí odkaz:
https://doaj.org/article/d1edde2718fe4644996cd7977a88c708
Autor:
Volpe, Giovanni, Wählby, Carolina, Tian, Lei, Hecht, Michael, Yakimovich, Artur, Monakhova, Kristina, Waller, Laura, Sbalzarini, Ivo F., Metzler, Christopher A., Xie, Mingyang, Zhang, Kevin, Lenton, Isaac C. D., Rubinsztein-Dunlop, Halina, Brunner, Daniel, Bai, Bijie, Ozcan, Aydogan, Midtvedt, Daniel, Wang, Hao, Sladoje, Nataša, Lindblad, Joakim, Smith, Jason T., Ochoa, Marien, Barroso, Margarida, Intes, Xavier, Qiu, Tong, Yu, Li-Yu, You, Sixian, Liu, Yongtao, Ziatdinov, Maxim A., Kalinin, Sergei V., Sheridan, Arlo, Manor, Uri, Nehme, Elias, Goldenberg, Ofri, Shechtman, Yoav, Moberg, Henrik K., Langhammer, Christoph, Špačková, Barbora, Helgadottir, Saga, Midtvedt, Benjamin, Argun, Aykut, Thalheim, Tobias, Cichos, Frank, Bo, Stefano, Hubatsch, Lars, Pineda, Jesus, Manzo, Carlo, Bachimanchi, Harshith, Selander, Erik, Homs-Corbera, Antoni, Fränzl, Martin, de Haan, Kevin, Rivenson, Yair, Korczak, Zofia, Adiels, Caroline Beck, Mijalkov, Mite, Veréb, Dániel, Chang, Yu-Wei, Pereira, Joana B., Matuszewski, Damian, Kylberg, Gustaf, Sintorn, Ida-Maria, Caicedo, Juan C., Cimini, Beth A, Bell, Muyinatu A. Lediju, Saraiva, Bruno M., Jacquemet, Guillaume, Henriques, Ricardo, Ouyang, Wei, Le, Trang, Gómez-de-Mariscal, Estibaliz, Sage, Daniel, Muñoz-Barrutia, Arrate, Lindqvist, Ebba Josefson, Bergman, Johanna
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural netw
Externí odkaz:
http://arxiv.org/abs/2303.03793
In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the respective areas. However, the development of methods able to successfully complete this task has proven challenging, mai
Externí odkaz:
http://arxiv.org/abs/2211.08460
Autor:
Aviyente, Selin, Frangi, Alejandro, Meijering, Erik, Muñoz-Barrutia, Arrate, Liebling, Michael, Van De Ville, Dimitri, Olivo-Marin, Jean-Christophe, Kovačević, Jelena, Unser, Michael
The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical image and signal processing. Areas of interest include medical and biol
Externí odkaz:
http://arxiv.org/abs/2210.17346
The development of new treatments often requires clinical trials with translational animal models using (pre)-clinical imaging to characterize inter-species pathological processes. Deep Learning (DL) models are commonly used to automate retrieving re
Externí odkaz:
http://arxiv.org/abs/2203.01668
Autor:
Franco-Barranco, Daniel, Pastor-Tronch, Julio, Gonzalez-Marfil, Aitor, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio
Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods have led to major breakthroughs in that direction during the
Externí odkaz:
http://arxiv.org/abs/2202.10773