Ignacio Oropesa
Technical University of Madrid
40 Papers
51 Citations
Ignacio Oropesa is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 11, co-authored 31 publications.
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Papers
EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment
Ignacio Oropesa,Patricia Sánchez-González,Magdalena K. Chmarra,Magdalena K. Chmarra,Pablo Lamata,Álvaro Díaz Fernández,Juan A. Sánchez-Margallo,Frank Willem Jansen,Frank Willem Jansen,Jenny Dankelman,Francisco M. Sánchez-Margallo,Enrique J. Gómez +11 more
TL;DR: EVA has been successfully validated in a box trainer setup, showing the potential of endoscopic video analysis to assess laparoscopic psychomotor skills and encouraging further implementation of video tracking in training setups and image-guided surgery.
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Relevance of Motion-Related Assessment Metrics in Laparoscopic Surgery
Ignacio Oropesa,Magdalena K. Chmarra,Patricia Sánchez-González,Pablo Lamata,Sharon P. Rodrigues,Silvia Enciso,Francisco M. Sánchez-Margallo,Frank-Willem Jansen,Frank-Willem Jansen,Jenny Dankelman,Enrique J. Gómez +10 more
TL;DR: Motion metrics are complementary and valid for assessing basic psychomotor skills, and their relevance depends on the skill being evaluated.
Objective assessment based on motion-related metrics and technical performance in laparoscopic suturing
Juan A. Sánchez-Margallo,Francisco M. Sánchez-Margallo,Ignacio Oropesa,Silvia Enciso,Enrique J. Gómez +4 more
- 01 Feb 2017
TL;DR: This study demonstrates the efficacy of the presented method for objective evaluation of psychomotor skills in laparoscopic suturing, however, this method does not take into account the quality of the suture.
Automated hexahedral meshing of knee cartilage structures - application to data from the osteoarthritis initiative.
Borja Rodriguez-Vila,Patricia Sánchez-González,Ignacio Oropesa,Enrique J. Gómez,David M. Pierce +4 more
TL;DR: A fully automated methodology for hexahedral meshing of patient-specific structures of the human knee obtained from magnetic resonance images, i.e. femoral/tibial cartilages and menisci is proposed.
Supervised classification of psychomotor competence in minimally invasive surgery based on instruments motion analysis
Ignacio Oropesa,Patricia Sánchez-González,Magdalena K. Chmarra,Pablo Lamata,Rodrigo Pérez-Rodríguez,Frank Willem Jansen,Frank Willem Jansen,Jenny Dankelman,Enrique J. Gómez +8 more
TL;DR: The three proposed classifiers showed good performance in the discrimination of skills, especially when information from all MAPs and tasks combined were considered, and misclassifications across all the classifiers could imply the existence of other factors influencing psychomotor competence.