Lead Ai Software Engineer
CurrentDevelopment of AI applications in the field of capsule endoscopy analysis and risk stratification as well as any other AI-related development efforts.
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Pablo Laiz Treceño is listed as Lead AI Software Engineer at GI Digital, based in Greater Barcelona Metropolitan Area, Spain. AeroLeads shows a matched LinkedIn profile for Pablo Laiz Treceño.
Pablo Laiz Treceño previously worked as Assistant Professor at Universitat De Barcelona and Scientific Researcher at Universitat De Barcelona. Pablo Laiz Treceño holds Doctor Of Philosophy - Phd, Mathematics And Computer Science, Cum Laude from Universitat De Barcelona.
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Pablo Laiz Treceño is a Lead AI Software Engineer at GI Digital. He is proficient in Francés and Inglés.
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Barcelona, Cataluña, España
Development of AI applications in the field of capsule endoscopy analysis and risk stratification as well as any other AI-related development efforts.
Barcelona
Sesiones de laboratorio de asignaturas de informática:- Algorítmica (Primer año de grado)- Estructura de Datos (Primer año de grado)- Proyecto Integrado de Software (Segundo año de grado)- Taller de los Nuevos Usos de la Informática (Tercer año de grado)
Barcelona Y Alrededores, España
Publications:1) P. Laiz, J. Vitria, and S. Segui. Using the triplet loss for domain adaptation in WCE. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pages 399–405, 10 2019. ISBN 978-1-7281-5023-9. doi: 10.1109/ICCVW.2019.00051. 2) P. Laiz, J. Vitrià, H. Wenzek, C. Malagelada, F. Azpiroz, and S. Seguí. WCE polyp detection with triplet based embeddings. Computerized Medical Imaging and Graphics, 86, 2020. ISSN 18790771. doi: 10.1016/j.compmedimag.2020.101794.3) G. Pascual, P. Laiz, A. García, H. Wenzek, J. Vitrià, and S. Seguí. Time-based self-supervised learning for wireless capsule endoscopy. Computers in Biology and Medicine, 146:105631, 7 2022. ISSN 0010-4825. \\doi: 10.1016/J.COMPBIOMED.2022.105631. 4) P. Gilabert, J. Vitrià, P. Laiz, C. Malagelada, A. Watson, H. Wenzek, and S. Seguí. Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy. Front Med (Lausanne), 1 2022. doi: 10.21203/RS.3.RS-1278962/V1.5) P. Laiz, J. Vitrià, P. Gilabert, H. Wenzek, C. Malagelada, A. Watson, and S. Seguí. Anatomical landmarks localization for capsule endoscopy studies. Submitted in Computerized Medical Imaging and Graphics, 2022.6) A. Quindós, P. Laiz, J. Vitrià and S. Seguí. Self-supervised out-of-distribution detection in Wireless Capsule Endoscopy images. Submitted in Artificial Intelligence In Medicine, 2022.Book Chapters:1) I. Amaya-Rodriguez, J. Civit-Masot, F. Luna-Perejon, L. Duran-Lopez, A. Rakhlin, S. Nikolenko, S. Kondo, P. Laiz, J. Vitrià, S. Seguí and P. Brandao (2021). ResNet. In: J. Bernal, A. Histace, (eds) Computer-Aided Analysis of Gastrointestinal Videos. Springer, Cham. https://doi.org/10.1007/978-3-030-64340-9\_122) P. Gilabert, P. Laiz and S. Seguí (2023). Artificial Intelligence for Vascular Lesions. In: M. Mascarenhas, H. Cardoso and G. Macedo, (eds) Artificial Intelligence in Capsule Endoscopy. Springer. ISBN: 9780323996471
Barcelona Y Alrededores, España
Investigación en proyectos de Data Science relacionados con Deep Learning y Neural Networks.
Arreglar incidencias en el equipo informático del centro.Arreglar incidències en l'equip informàtic del centre.
As an FPU Ph.D. grant, my research focuses on developing a deep learning solution to overcome the challenges of medical imaging diagnoses.
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Pablo Laiz Treceño works for GI Digital.
Pablo Laiz Treceño is listed as Lead AI Software Engineer at GI Digital.
Pablo Laiz Treceño is based in Greater Barcelona Metropolitan Area, Spain while working with GI Digital.
Pablo Laiz Treceño has worked for Gi Digital, Universitat De Barcelona, and Departamento De Informàtica.
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Pablo Laiz Treceño holds Doctor Of Philosophy - Phd, Mathematics And Computer Science, Cum Laude from Universitat De Barcelona.
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