MINOAS Workshop Concludes at ICS-FORTH
The MINOAS Workshop (Machine Intelligence for iNverse imaging, Observation Analysis and Sensing) was successfully held at the Institute of Computer Science of FORTH (ICS-FORTH), bringing together leading international researchers to exchange ideas at the intersection of machine learning, inverse problems, and imaging sciences
MINOAS Workshop - Day #1
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Dr. Philippe Ciuciu ||
Abstract
CEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)
Title: Non-Cartesian MR imaging in the deep learning era
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Prof. Maria Vakalopoulou
Assistant Professor (MCF) CentraleSupelec, University Paris Saclay, leader of the biomathematics group of MICS Laboratory -
Prof. Mame Diarra FALL
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Abstract
Associate Professor (MCF-HDR) / Mathematics
Title: Bayesian Image Restoration with Deep Learning-Based Priors
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Prof.
Vangelis Harmandaris ||
Abstract
Professor of Applied Mathematics, University of Crete & ERA Chair Prof, The Cyprus Institute, Cyprus
Title: Physics-informed and ML-based Models for Inverse Problems in Multi-scale Modeling of Complex Materials
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Prof.
Jason McEwen ||
Abstract
Professor of Astrostatistics and Astroinformatics University College London, Dept of Space & Climate Physics
Title: High-dimensional uncertainty quantification with deep data-driven priors -
Enrico Magli
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Abstract
Professor (Associate) at Polytechnic University of Turin
Title: Getting the brain close to the eyes: a journey towards satellite onboard AI -
Prof. David Donoho
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Abstract
Professor of Humanities and Sciences Professor of Statistics Stanford University, USA
Title: Self-Supervised Learning — Can One Really Do Away with Data Labeling? -
Prof. Yves Wiaux
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Abstract
Head of Laboratory @BASP , Head of Institute @ISSS, Heriot-Watt University, UK
Title: The R2D2 deep neural network series paradigm for robust ultra-fast precision imaging in radio astronomy
MINOAS Workshop - Day #2
MINOAS Workshop - Day #3
Overall, the MINOAS Workshop provided a dynamic forum for advancing research in computational imaging, machine intelligence, and inverse problems. The event reinforced the role of ICS-FORTH as a hub for cutting-edge scientific dialogue and collaboration, strengthening ties between disciplines and communities that are driving innovation in imaging sciences and beyond.