Gabriel Louis Cuendet

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Goal: Difficult tracheal intubation is a major cause of anesthesia related injuries with potential life threatening complications. Detection and anticipation of difficult airway in the preoperative period is thus crucial for the patients’ safety. We propos ...

Driving requires the constant coordination of many body systems and full attention of the person. Cognitive distraction (subsidiary mental load) of the driver is an important factor that decreases attention and responsiveness, which may result in human err ...

In anesthesiology, the detection and anticipation of difficult tracheal intubation is crucial for patient safety. When undergoing general anesthesia, a patient who is unexpectedly difficult to intubate risks potential life-threatening complications with po ...

In this paper, we introduce a new template-based spectral nonrigid registration method in which the target is represented using multilevel partition of unity (MPU) implicit surfaces and the template is embedded in a discrete Laplace-Beltrami based spectral ...

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, ...

Gabriel Louis Cuendet

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Facial Image Analysis for Fully-Automatic Prediction of Difficult Endotracheal Intubation

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Towards 3D facial morphometry : facial image analysis applications in anesthesiology and 3D spectral nonrigid registration

3D Spectral Nonrigid Registration of Facial Expression Scans

Automatic Mallampati Classification Using Active Appearance Models