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Radiation dose optimization for X-ray guided procedures – OptimiX
The overarching goal of OptimiX project is to improve the overall radiation safety of patient and clinical staff by (i). developing novel approaches for fast and accurate radiation simulation, (ii). propose methods for optimizing an X-ray imaging device configuration to minimize the delivered dose (iii). developing radiation awareness systems using Augmented/Virtual Reality visualization to facilitate teaching, in an engaging and intuitive manner, on the behavior of ionizing radiation.
ROBOTIC BIOPSY OF THE UTERUS STANDARDIZED TECHNIQUE – ROBUST
The basic idea is to provide the surgeon with intelligent tools that help him/her only when necessary while
REsource efficient tunnelling based on real-time excavation MATerial CHaracterisation – REMATCH
recognition of excavated material, secondly, on intelligent data processing of TBM data, and, thirdly, on
REliable hardware for TRUSTworthy artificial INtelliGence – RE-TRUSTING
Artificial Intelligence (AI) algorithms, and in particular Deep Neural Networks (DNNs), typically run [...] customized HardWare platforms for Artificial Intelligence (HW-AI) are required. However, similar to t
REal-time artiFicial INtelligence for hEaring aiDs – REFINED
often-complex scenarios. However, current artificial intelligence methods are too complex to be applied to these [...] coordinator) brings its skills in artificial intelligence and design of performance constrained embedded
RADIation-induced neurOtoxicity assessed by spatio-temporal modelling combined with Artificial Intelligence after brain raDiothErapy – RADIO-AIDE
advanced spatio-temporal models and new Artifical Intelligence tools for brain Magnetic Resonance Imaging (MRI)
Quantum Machine Learning: Foundations and Algorithms – QuantML
largely driven by the desire to develop artificial intelligence that uses quantum technologies to improve the
Quantitative pH mapping in skeletal muscle using CEST MRI as an imaging outcome measure in the disease progression of neuromuscular disorders – CEST-pHou
processing and acquisition, using artificial intelligence (convolutional neural network). If successful
Quantitative 3D ultrasound brain imaging: development of new bedside biomarkers to better predict neurodevelopmental outcomes in preterm infants – QUSBI
(thalami, lateral ventricles). Using artificial intelligence, these algorithms will be integrated into p
