Symposium organised by the CHAIR theme AI for Scientific Data Analysis. Lunch is included.
Date: 10 January 2025
Time: 9:00-14:00
Place: PJ
Invited Speakers:
Ivo Sbalzarini, TU-Dresden (will present on 9 January, 11:00, Nexus)
Ignacio Arganda-Carreras, University of the Basque Country
Arrate Muñoz Barrutia, University of Madrid
Carlo Manzo, University of Vic
Rafael Camacho, Centre for Cellular Imaging, University of Gothenburg
Susan Cox, Kings College London
Schedule:
9:00 – 9:10 – Welcome + Introduction
9:10 – 9:50 – Ignacio Arganda-Carreras
9:50 – 10:30 – Arrate Muñoz Barrutia
10:30 – 11:10 – Carlo Manzo
11:10 – 11:20 – Coffee Break
11:20 – 12:00 – Raphael Camacho
12:00 – 12:40 – Susan Cox
12:40 – 13:00 – Conclusion
13:00 – 14:00 – Lunch
Presentations:
Ignacio Arganda-Carreras: BiaPy: Accessible deep learning on bioimages
Arrate Muñoz Barrutia: 3D computational histopathology: From early works to recent advances.
Carlo Manzo: Deep Learning Approaches for Biological Dynamics
Raphael Camacho: SmartMicroscopy: The Automation of End-to-End Imaging Workflows
Susan Cox: Deriving structure and heterogeneity from fluorescence microscopy data
Ivo Sbalzarini: Content-adaptive deep learning for large-scale fluorescence microscopy imaging