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Found 4 papers, 2 papers with code
A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
Deep Reinforcement Learning approaches have shown promise in learning this task and may be the key to automating catheter navigation during robotized interventions.
Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders
Open-loop neurostimulation employs stimulation protocols, which are rather independent of the patients health and brain state in the moment of treatment.
Closed-loop neurostimulation in real-time for the treatment of pathological brain rhythms
Mental disorders may exhibit pathological brain rhythms and neurostimulation promises to alleviate of patients' symptoms by modifying these rhythms.
Quantifying discretization errors for soft-tissue simulation in computer assisted surgery: a preliminary study
The impact of mesh quality and density on the accuracy of the FE solution can be quantified with \emph{a posteriori} error estimates.
Computational Engineering, Finance, and Science
