Conference: 'Surgimind: Segmentation of surgical images through neural networks for lung cancer surgery'

The main objective of this research project is to develop and evaluate an AI-based model that integrates real-time intraoperative video images with patient-specific preoperative 3D reconstructions of pulmonary computed tomography scans, in order to improve the identification and visualization of anatomical structures in thoracic surgery, increase surgical precision, and reduce intraoperative complications.

The conference is part of the activities program of the 'USC-Plexus Chair of AI Applied to Precision Personalized Medicine', led by CiTIUS, and is aimed at a general audience with basic knowledge in computer science and artificial intelligence.

About the Speaker

Antonio Rodríguez-Sánchez is currently an associate professor in the Intelligent and Interactive Systems (IIS) group of the Department of Computer Science at the University of Innsbruck (Austria). In 2010, he completed his PhD at the Vision Research Center (University of York, Toronto, Canada) on modeling attention and intermediate areas of the visual cortex, under the supervision of Professor John K. Tsotsos (Canada Research Chair in Computational Vision). His current research interests encompass different areas of artificial intelligence: computational neuroscience, deep neural networks, computer vision, machine learning, and robotics.