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The CIBM - Section Signal Processing at EPFL focuses on cutting-edge research in computational medical imaging and machine learning. Led by experts in network analysis, functional MRI, and mathematical imaging, the unit is at the forefront of developing innovative tools and techniques for analyzing biomedical data. With a strong emphasis on computational neuroanatomy, fetal imaging, and machine learning, the team collaborates closely with industry partners and hospitals to advance the field of biomedical imaging. The unit hosts a diverse group of researchers, scientists, engineers, and technicians who are committed to achieving excellence in biomedical imaging through interdisciplinary collaboration and state-of-the-art infrastructure.
Henry Markram, Kathryn Hess Bellwald, Felix Schürmann, Daniel Keller, Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Michael Reimann, Matthias Wolf, Lida Kanari, Srikanth Ramaswamy, James Gonzalo King, Alexis Arnaudon, Ying Shi, András Ecker, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Fernando Joaquim Leite Pereira, Michael Emiel Gevaert, Judit Planas Carbonell, James Bryden Isbister, Huanxiang Lu, Daniela Egas Santander, Sirio Bolaños Puchet, Juan Bautista Hernando Vieites, Samuel Lieven D. Lapere, Joni Henrikki Herttuainen, Cyrille Pierre Henri Favreau, Christoph Pokorny, Benoît Jean-Albert Coste, Vishal Sood, Thomas Brice Delemontex, Adrien Michel Achille Devresse, Nicolas René Jean Ninin, Alexander Dietz, Gianluca Ficarelli, Hugo Thabo Dictus
Dimitri Nestor Alice Van De Ville, Maria Giulia Preti