Lucía Moya Sans

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Lucía Moya Sans

Lucía Moya Sans

@ciams16

Biomedical and Computer Science engineer, working in computational neuroscience and deep learning models for bioimage analysis.

España Katılım Ağustos 2017
85 Takip Edilen40 Takipçiler
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Laura Nicolás-Sáenz PhD
Laura Nicolás-Sáenz PhD@Laura_nicolass·
It is finally published!: ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis mdpi.com/2207960
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Lucía Moya Sans
Lucía Moya Sans@ciams16·
It has been a pleasure to share this enriching week with all the people in the @AI4LifeTeam in the #DLinJava @humantechnopole hackathon. I am really thankful for this opportunity and eager to collaborate in further projects.
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AI4Life Team
AI4Life Team@AI4LifeTeam·
And after a week of coding, a wonderful improvised martial arts class with @ctrueden!
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Florian Jug@florianjug

First hackathon ever hosted @humantechnopole — sooo exciting after years of pandemic and us moving here to 🇮🇹! Our goal? Bringing #DeepLearning to #Java and enable open bioimage analysis tools to benefit from this! @AI4LifeTeam #DLinJava @florianjug/109818505786746688" target="_blank" rel="nofollow noopener">mastodon.online/@florianjug/10…

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AI4Life Team
AI4Life Team@AI4LifeTeam·
Thank you to @humantechnopole and @GlobalBioImage for hosting and organising this fantastic Global Bioimage training and to all the participants for the active discussions. Have safe trips back home! 🛤️
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Javier Pascau
Javier Pascau@jpascau·
Our recent paper by Lucía Cubero shows how partially labeled clinical data can be used to train deep learning segmentation. We also test how introducing the first labeled image from a longitudinal patient series improves the segmentation accuracy. @OscarAc26986419
Entropy MDPI@Entropy_MDPI

Read #NewPaper "Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data" from Lucía Cubero et al. mdpi.com/1099-4300/24/1… #AutomatedSegmentation #Radiotherapy #longitudinaldata

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Deporte UC3M
Deporte UC3M@DAP_uc3m·
🚨 Lucía María Moya y Alejandro Hernández, alumnos de la Escuela Politécnica, consiguen un tercer puesto en la final de LEDU STEM Cátedras Telefónica ¡¡¡Enhorabuena!!! 👏👏👏👏
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EPS-UC3M
EPS-UC3M@EPS_UC3M·
La @EPS_UC3M se enorgullece de nuestros 2 equipos. Habéis hecho un trabajo excepcional, abriendo el camino a vuestr@s compañer@s. Por otro lado, desear mucha suerte al equipo EPS 1, que seguirá participando. ¡Enhorabuena a @ciams16 y @more_alejaandro! #eps #ledustemtelefonica
Liga Española de Debate Universitario@LEDU_debate

Es hora de conocer a los semifinalistas de #ledustemtelefonica. Gracias por unos cuartos de final de altura. Las semifinales prometen tenernos enganchados aún más. Enhorabuena a todos los equipos. @CatedrasTEF

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Ario Sadafi
Ario Sadafi@ArioSadafi·
Percoll gradients like fingerprints are unique for every patient and provide a lot of information about the blood consistency that can be used for diagnosis. Join us today at ISBI for the discussion. With @ShadiAlbarqouni @MarrCarsten @NassirNavab @ciams16 virtual.biomedicalimaging.org/isbi/2021/isbi…
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Shadi N. Albarqouni@ShadiAlbarqouni

Our ISBI paper on Classification of Hereditary Hemolytic Anemia using Percoll Gradients. With @ArioSadafi @MarrCarsten

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Epigenetics Research at Helmholtz Munich
Epigenetics Research at Helmholtz Munich@epigeneticsHMGU·
Very happy to announce that our first virtual Internship! Many thanks to all the participants and helpers, that have made it possible, especially to @HelmholtzMunich HR. Our 8 interns will work on different computation projects provided by the 6 participating labs. Warm welcome!
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Keşfet

@AI4LifeTeam @humantechnopole @ctrueden @GlobalBioImage @OscarAc26986419 @danifranco93 @ArrateMunoz @IgnacioArganda