Skip to main content

Search

Show all results for

Home

Person

Matteo Sorci

This person is no longer with EPFL

About
Privacy
Disclaimer

Copyright © 2025 EPFL, all rights reserved

Graph Chatbot

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (10)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

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

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Hua Gao, Gabriel Louis Cuendet

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 ...

Institute of Electrical and Electronics Engineers2015

Improved Local Binary Pattern Based Action Unit Detection Using Morphological and Bilateral Filters

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce

Automatic facial action unit (AU) detection in videos is the key ingredient to all systems that utilize a subject face for either interaction or analysis purposes. With the ever growing range of possible applications, achieving a high accuracy in the simpl ...

2013

Automatic Mallampati Classification Using Active Appearance Models

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Gabriel Louis Cuendet

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, ...

2012