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scientific/technical context This project aims to develop computational imaging methods for low-field MRI [Arnold2023, Hennig2023]. Its aim is to develop low-cost, portable neuroimaging systems that integrate
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environmental phenomena, including sea level variations, surface wind fields, and ocean surface roughness. For instance, SAR wave mode (WV) captures 20x20 km image patches at 5 m pixel resolution and is
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should move to Melbourne in 2026, and the larger XEMIS2 currently working at the Nantes University Hospital to image small mammals. The telescopes will gradually house new photodetectors (PMT and/or SiPM
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diffractive or holographic optics, depending on the nature of the source and the intended projection mode. The volume and size constraints of the imager give rise to a number of optical problems that need to be
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should move to Melbourne in 2026, and the larger XEMIS2 currently working at the Nantes University Hospital to image small mammals. The telescopes will gradually house new photodetectors (PMT and/or SiPM
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the umbrella term “Generative Artificial Intelligence” (Gen-AI), and are being quickly adopted by the general public, the most notable examples being conversational models such as ChatGPT, text-to-image models
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Andries, SSL-Rehab: Assessment of physical rehabilitation exercises through self-supervised learning of 3D skeleton representations, Computer Vision and Image Understanding, 251, 2025, https://doi.org