J. Blas Pagador

Scopus Publications

Soft skills during residency in Spain: an analysis of the specialized training programmes
Luisa F. Sánchez-Peralta, J. Blas Pagador, Francisco M. Sánchez Margallo
BMC Medical Education, 2026
In recent years, the importance of soft skills in reducing errors and consequently improving clinical practice has become increasingly evident. Residents should be trained in these skills during their specialised training. The aim of our research was to determine the prevalence of these soft skills in residency training programmes in Spain. This descriptive, cross-sectional observational study reviewed the training programmes for Health Sciences specialties at the National Council of Specialties in Health Sciences to identify the presence of five soft skills: situational awareness, decision-making, teamwork, communication and leadership. To this end, systematic keyword searches were performed on all documents. A total of 56 training programmes were included in this study. Most of the training programmes were published in 2006 and 2007 (23 programmes, 41.0%) with only three (6.0%) published in the last three years. The most prevalent skills were communication (35 programmes, 62.5%) and teamwork (23 programmes, 41.1%), followed by decision-making (15 programmes, 26.8%) and leadership (11 programmes, 19.6%). However, only one programme (1.8%) mentions situational awareness. No programme addresses all five skills and only four (7.1%) address four of them. In contrast, 14 programmes (25.0%) do not mention any of the skills. Compared with other categories, nursing training programmes stand out by addressing a higher average number of soft skills (3.3 ± 0.7). Soft skills are unevenly represented in Spanish specialised training programmes. Given their demonstrated importance in clinical practice, these findings suggest the need for developing training tools that support the training of specialists. We propose the use of micro-credentials to certify soft skills.
Validation of a training simulator for temporomandibular joint arthroscopy
José Luis Moyano-Cuevas, J. Blas Pagador, Nadeem Saeed, Francisco M. Sánchez-Margallo, Florencio Monje-Gil
Journal of Cranio Maxillofacial Surgery, 2025
The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review
Vicente Luis del Campo, Juan Francisco Ortega Morán, Víctor Martínez Cagigal, Jesús Morenas Martín, J. Blas Pagador, Roberto Hornero
Neurological Sciences, 2024
Colonic Electrical Stimulation for Chronic Constipation: A Perspective Review
Iñaki Ortego-Isasa, Juan Francisco Ortega-Morán, Héctor Lozano, Thomas Stieglitz, Francisco M. Sánchez-Margallo, Jesús Usón-Gargallo, J. Blas Pagador, Ander Ramos-Murguialday
Biomedicines, 2024
Chronic constipation affects around 20% of the population and there is no efficient solution. This perspective review explores the potential of colonic electric stimulation (CES) using neural implants and methods of bioelectronic medicine as a therapeutic way to treat chronic constipation. The review covers the neurophysiology of colonic peristaltic function, the pathophysiology of chronic constipation, the technical aspects of CES, including stimulation parameters, electrode placement, and neuromodulation target selection, as well as a comprehensive analysis of various animal models highlighting their advantages and limitations in elucidating the mechanistic insights and translational relevance for CES. Finally, the main challenges and trends in CES are discussed.
Editorial: Artificial intelligence for early diagnosis of colorectal cancer
Luisa F. Sánchez-Peralta, Benjamin Glover, Debesh Jha, J. Blas Pagador
Frontiers in Oncology, 2024
The integration of Artificial Intelligence (AI) technologies into healthcare is revolutionising early diagnostic processes for diseases, also for CRC, enhancing both the effectiveness and efficiency of traditional diagnostic methods (4).Fortunately, early detection of CRC increases the 5-year survival rate from 18% when detected at the most advanced stage to 88.5% when detected at an early symptomatic stage (5). Screening programs are implemented for such early detection, as tumours detected in symptomatic patients are larger and at more advanced stages than tumours detected in asymptomatic patients in a screening programme (6). Thus, the detection of colorectal cancer is critical yet challenging, often requiring operatordependant endoscopic procedures, followed by accurate histological assessment of tissue biopsies. AI offers promising enhancements to these traditional methods, providing tools that are less invasive, more accurate, faster, and consistent.In the field of CRC, AI can be applied to different stages of the process, since evaluation of the bowel preparation, before the colonoscopy itself, to histopathology classification, once the lesion has been removed (Figure 1). Following tissue retrieval, Yuan et al. demonstrate an AI algorithm developed through transfer learning from a polyp segmentation model. This localises colorectal cancer regions within precise grids on whole slide imaging (WSI). The method boasts high sensitivity and specificity, and addresses challenges related to AI use and applicability, by accurately labelling cancer presence in histological slides, thus demonstrating reliability and efficacy in histology applications.Regarding to post-colonoscopy stage, Doğan et al. present a study that evaluates the role of artificial intelligence in histopathological image analysis, notably using convolutional neural networks (CNNs) for classifying diverse tissue types within digital pathology. By comparing AI-based algorithms against manual machine learning models, the research demonstrates the superior performance of CNNs in both binary and multi-class classifications of tissues, achieving accuracies of 0.91 and 0.97, respectively. Utilizing over 100,000 images for training and 7,180 for testing, the study highlights AI's potential to enhance diagnostic accuracy and efficiency in identifying tumour tissues and other types, marking a significant advancement over traditional methods.These studies demonstrate how AI can significantly enhance diagnostic accuracy and efficiency in clinical settings. However, integrating AI tools into healthcare systems will further involve overcoming challenges related to ethical and societal implications, workflow integration and interoperability or interpretability (7).Addressing integration challenges and expanding research to include diverse, multicentre trials will be crucial. This will help validate AI tools' efficacy and safety in real-world settings, ensuring AI tools meet the diverse needs of global populations.The emergence of AI in early CRC diagnosis signifies a significant advance toward more proactive, individualised, and minimally invasive healthcare. Continued research and development are essential to harness the full potential of AI, promising to transform CRC diagnosis and improve patient outcomes and experience.
Home-based exercise interventions delivered by technology in older adults: A scoping review of technological tools usage
Ana Raquel Costa-Brito, Antonio Bovolini, María Rúa-Alonso, Cláudia Vaz, Juan Francisco Ortega-Morán, J. Blas Pagador, Carolina Vila-Chã
International Journal of Medical Informatics, 2024
BACKGROUND: Despite technology-based systems being considered promising tools to stimulate and increase physical function at home, most older adults are unfamiliar with technology, which may pose some difficulties. Technology-related parameters, such as adherence, acceptance, and acceptability, are crucial to achieving higher efficacy levels of home-based exercise interventions delivered by technology. In this scoping review, we aimed to revise the use of home-based technological tools to improve physical function in the older population, focusing on the user's experience and perspective. Methods This scoping review was conducted following PRISMA guidelines. The search was conducted in April 2022 and updated in April 2023. A total of 45 studies were included in the review. Results Most studies (95.5%) met the technology usage levels defined by the research team or reported satisfactory technology usage levels. Positive health-related outcomes were reported in 80% of studies. Although the existence of guidelines to correctly define and use measures associated with technology use, including adherence, acceptance and acceptability, some terms are still being used interchangeably. Some concerns related to the lack of an international consensus regarding technology usage measures and the exclusion of older adults who did not own or have previous experience with technology in a large percentage of the included studies may have limited the results obtained. Conclusions Altogether, home-based exercise interventions delivered through technology were associated with positive health-related outcomes in older adults, and technology usage levels are considered satisfactory. Older adults are willing and able to use technology autonomously if adequate support is provided.
Towards Older Adults HCI-the EUROAGE+ Project Experience
Paulo J.S. Gonçalves, António Alves, Pedro Rosa, Bernardo Lourenço, J. F. Ortega Morán, J. B. Pagador, F. M. Sanchez Márgallo
3rd IEEE International Conference on Intelligent Reality Icir 2024, 2024
This extended abstract presents and performs a brief discussion on the HCI interfaces developed and under development in the EUROAGE+ project. Those interfaces were designed for interaction with a Q&A game, reaction time and reflexes game, daily conversations, and to tele-operate a robot. The interfaces were developed in a co-creation environment with the older adults in nursing homes. For the Q&A and the reaction time and reflexes games, off-the-shelf and dedicated buttons are under development. For the daily conversation interface, dedicated conversations were developed to infer the current state of the older adult. A tablet/smartphone interface was developed to allow older adults to command a robot to pick and place objects in an arena, to play the classical “shapes and colors” game. The interface for robot tele-operation was already validated in a pilot study and the HCI interfaces for the conversations and the games are currently under development.
Optimizing Bioprinting Setting for Vascular Applications: A Post-printing Analysis
Tiago M. Cardoso, J. Carlos Gómez-Blanco, Francisca R. Barbosa, Sonia P. Miguel, David Patrocinio, Maximiano P. Ribeiro, Paula Coutinho, Francisco M. Sánchez-Margallo, J. Blas Pagador
Ifmbe Proceedings, 2024
Degradation Analysis of Printed Vascular Grafts Under Refrigerated Storage Conditions
Tiago M. Cardoso, David Patrocinio, Francisca R. Barbosa, Sonia P. Miguel, J. Carlos Gómez-Blanco, Maximiano P. Ribeiro, Paula Coutinho, Francisco M. Sánchez-Margallo, J. Blas Pagador
Ifmbe Proceedings, 2024
EASIER: A new model for online learning of minimally invasive surgery skills
Ignacio Oropesa, Luisa F. Sánchez-Peralta, Carmen Guzmán García, Magdalena K. Chmarra, Krisztina Berner-Juhos, Calin Tiu, Christos Mettouris, George A. Papadopoulos, Andreas Papadopoulos, José Blas Pagador, Joeri Post, Jenny Dankelman, Ana González-Segura, Francisco M. Sánchez-Margallo, Enrique J. Gómez
International Journal of Medical Informatics, 2023
Biopolymers for Tissue Engineering: Crosslinking, Printing Techniques, and Applications
David Patrocinio, Victor Galván-Chacón, J. Carlos Gómez-Blanco, Sonia P. Miguel, Jorge Loureiro, Maximiano P. Ribeiro, Paula Coutinho, J. Blas Pagador, Francisco M. Sanchez-Margallo
Gels, 2023
Clinical Validation Benchmark Dataset and Expert Performance Baseline for Colorectal Polyp Localization Methods
Luisa F. Sánchez-Peralta, Ben Glover, Cristina L. Saratxaga, Juan Francisco Ortega-Morán, Scarlet Nazarian, Artzai Picón, J. Blas Pagador, Francisco M. Sánchez-Margallo
Journal of Imaging, 2023
Three-Dimensionally Printed Hydrogel Cardiac Patch for Infarct Regeneration Based on Natural Polysaccharides
Jorge Loureiro, Sónia P. Miguel, Victor Galván-Chacón, David Patrocinio, José Blas Pagador, Francisco M. Sánchez-Margallo, Maximiano P. Ribeiro, Paula Coutinho
Polymers, 2023
Validation of an App for the Awareness of Active Ageing Linked to Cultural Heritage
Juan Francisco Ortega Morán, Carolina Vila-cha, Debora Zamillo, Aurelia Curaj, Francisco M. Sánchez Margallo, J. Blas Pagador
Lecture Notes in Bioengineering, 2023
Proposal for an Occupational Therapy Intervention Using the Virtual Reality Game System “Oculus Quest” for Active Ageing
Carlos Barriga Talavera, María Jesús Gragera Polo, Juan Francisco Ortega Morán, J. Blas Pagador, Pedro Núñez Trujillo, Francisco M. Sánchez Margallo, María Trinidad Rodríguez Domínguez
Lecture Notes in Bioengineering, 2023
Computational simulation-based comparative analysis of standard 3D printing and conical nozzles for pneumatic and piston-driven bioprinting
Juan Carlos Gómez-Blanco, J. Blas Pagador, Victor P. Galván-Chacón, Luisa F. Sánchez-Peralta, Manuel Matamoros, Alfonso Marcos, Francisco M. Sánchez-Margallo
International Journal of Bioprinting, 2023
Cardiovascular Circulatory System and Left Carotid Model: A Fractional Approach to Disease Modeling
José Emilio Traver, Cristina Nuevo-Gallardo, Inés Tejado, Javier Fernández-Portales, Juan Francisco Ortega-Morán, J. Blas Pagador, Blas M. Vinagre
Fractal and Fractional, 2022
Artificial Intelligence for Colorectal Polyps in Colonoscopy
Luisa F. Sánchez-Peralta, J. Blas Pagador, Francisco M. Sánchez-Margallo
Artificial Intelligence in Medicine, 2022
Mixing Analysis of High Viscous Hydrogels for Bioprinting
J. Blas Pagador Carrasco, David Patrocinio Caballero, Victor P. Galvan Chacon, Francisco M. Sanchez Margallo
2022 10th E Health and Bioengineering Conference Ehb 2022, 2022
Photoinitiator Release of Photoprinted SLA Resins for Lab-on-a-chip Applications
David Patrocinio Caballero, J. Blas Pagador Carrasco, Victor P. Galvan Chacon, Jorge Loureiro, Maximiano P. Ribeiro, Sonia Miguel, Paula Coutinho, Francisco M. Sanchez Margallo
2022 10th E Health and Bioengineering Conference Ehb 2022, 2022
Can effective pedagogy be ensured in minimally invasive surgery e-learning?
Ignacio Oropesa, David Gutiérrez, Magdalena K. Chmarra, Luisa F. Sánchez-Peralta, Cecilie Våpenstad, Patricia Sánchez-González, José B. Pagador, Ana González-Segura, Thomas Langø, Francisco M. Sánchez-Margallo, Jenny Dankelman, Enrique J. Gómez
Minimally Invasive Therapy and Allied Technologies, 2022
Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
Juan Francisco Ortega-Morán, Águeda Azpeitia, Luisa F. Sánchez-Peralta, Luis Bote-Curiel, Blas Pagador, Virginia Cabezón, Cristina L. Saratxaga, Francisco M. Sánchez-Margallo
BMC Cancer, 2021
Lapnurse—a blended learning course for nursing education in minimally invasive surgery: Design and experts’ preliminary validation of its online theoretical module
Juan Francisco Ortega-Morán, Blas Pagador, Juan Maestre-Antequera, Javier Sánchez-Fernández, Antonio Arco, Francisco Monteiro, Francisco M. Sánchez-Margallo
Healthcare Switzerland, 2021
Improving cell viability and velocity in µ-extrusion bioprinting with a novel pre-incubator bioprinter and a standard fdm 3d printing nozzle
Juan C. Gómez-Blanco, Victor Galván-Chacón, David Patrocinio, Manuel Matamoros, Álvaro J. Sánchez-Ortega, Alfonso C. Marcos, María Duarte-León, Federica Marinaro, José B. Pagador, Francisco M. Sánchez-Margallo
Materials, 2021
3D Printed vs. Commercial Polypropylene Surgical Meshes: A Comparative Analysis of Tensile Strength
Victor P. Galvan-Chacon, David Patrocinio, Maria Duarte-Leon, J. Blas Pagador, Francisco Miguel Sanchez Margallo
2021 9th E Health and Bioengineering Conference Ehb 2021, 2021
Swelling Analysis of Thermal and Chemical Crosslinked Konjac Glucomannan/Gellan Gum Cardiac Patch
Jorge Loureiro, Sonia P. Miguel, Victor P. Galvan-Chacon, David Patrocinio, Francisco M. Sanchez-Margallo, J. Blas Pagador, Maximiano P. Ribeiro, Paula Coutinho
2021 9th E Health and Bioengineering Conference Ehb 2021, 2021
Design of an App for the Awareness of Active Ageing Linked to Cultural Heritage
Juan Francisco Ortega Morán, José Luis Moyano García-Cuevas, Francisco Manuel Esteban Gómez, Carolina Vila-Cha, Nuno Serra, Debora Zamillo, Aurelia Curaj, Francisco M. Sánchez Margallo, J. Blas Pagador
Lecture Notes in Bioengineering, 2021
Awareness of Intangible Cultural Heritage Through Videos Promoting Active Ageing
Juan Francisco Ortega Morán, José Luis Moyano García-Cuevas, Francisco Manuel Esteban Gómez, Carolina Vila-Cha, Nuno Serra, Debora Zamillo, Aurelia Curaj, Francisco M. Sánchez Margallo, J. Blas Pagador
Lecture Notes in Bioengineering, 2021
Unravelling the effect of data augmentation transformations in polyp segmentation
Luisa F. Sánchez-Peralta, Artzai Picón, Francisco M. Sánchez-Margallo, J. Blas Pagador
International Journal of Computer Assisted Radiology and Surgery, 2020
Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets
Luisa F. Sánchez-Peralta, J. Blas Pagador, Artzai Picón, Ángel José Calderón, Francisco Polo, Nagore Andraka, Roberto Bilbao, Ben Glover, Cristina L. Saratxaga, Francisco M. Sánchez-Margallo
Applied Sciences Switzerland, 2020
Temperature and humidity pid controller for a bioprinter atmospheric enclosure system
Manuel Matamoros, J. Carlos Gómez-Blanco, Álvaro J. Sánchez, Enrique Mancha, Alfonso C. Marcos, J. Pablo Carrasco-Amador, J. Blas Pagador
Micromachines, 2020
Hydrogels for Bioprinting: A Systematic Review of Hydrogels Synthesis, Bioprinting Parameters, and Bioprinted Structures Behavior
Enrique Mancha Sánchez, J. Carlos Gómez-Blanco, Esther López Nieto, Javier G. Casado, Antonio Macías-García, María A. Díaz Díez, Juan Pablo Carrasco-Amador, Diego Torrejón Martín, Francisco Miguel Sánchez-Margallo, J. Blas Pagador
Frontiers in Bioengineering and Biotechnology, 2020
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Luisa F. Sánchez-Peralta, Luis Bote-Curiel, Artzai Picón, Francisco M. Sánchez-Margallo, J. Blas Pagador
Artificial Intelligence in Medicine, 2020
Eigenloss: Combined PCA-based loss function for polyp segmentation
Luisa F. Sánchez-Peralta, Artzai Picón, Juan Antonio Antequera-Barroso, Juan Francisco Ortega-Morán, Francisco M. Sánchez-Margallo, J. Blas Pagador
Mathematics, 2020
Bioink temperature influence on shear stress, pressure and velocity using computational simulation
J. Carlos Gómez-Blanco, Enrique Mancha-Sánchez, Alfonso C. Marcos, Manuel Matamoros, Antonio Díaz-Parralejo, J. Blas Pagador
Processes, 2020
Validation of the online theoretical module of a minimally invasive surgery blended learning course for nurses: A quantitative research study
Juan-Francisco Ortega-Morán, Blas Pagador, Juan Maestre-Antequera, Antonio Arco, Francisco Monteiro, Francisco M. Sánchez-Margallo
Nurse Education Today, 2020
Comparative study of the use of different sizes of an ergonomic instrument handle for laparoscopic surgery
Juan A. Sánchez-Margallo, Alfonso González González, Lorenzo García Moruno, J. Carlos Gómez-Blanco, J. Blas Pagador, Francisco M. Sánchez-Margallo
Applied Sciences Switzerland, 2020
Using Eye Tracking to Analyze Surgeons’ Cognitive Workload During an Advanced Laparoscopic Procedure
Juan Francisco Ortega-Morán, J. Blas Pagador, Vicente Luis-del-Campo, Juan Carlos Gómez-Blanco, Francisco M. Sánchez-Margallo
Ifmbe Proceedings, 2020
TEMPERATURE-HUMIDITY-CO2 PID CONTROLLER IN A CAMERA FOR BIOPRINTING TECHNIQUES
Proceedings from the International Congress on Project Management and Engineering, 2020
Computational fluid dynamics study of inlet velocity on extrusion-based bioprinting
Juan Carlos Gómez-Blanco, Enrique Mancha-Sánchez, Juan Francisco Ortega-Morán, Antonio Díaz-Parralejo, Francisco Miguel Sánchez-Margallo, José Blas Pagador-Carrasco
Ifmbe Proceedings, 2020
Geometric and topological modelling of organs and vascular structures from CT data
João Fradinho Oliveira, José Blas Pagador, José Luis Moyano-Cuevas, Francisco Miguel Sánchez-Margallo, Hugo Capote
Multi Modality Imaging Applications and Computational Techniques, 2018
Train4OrthoMIS online course as a manner of improving ergonomics in orthopaedic surgery
Joanna Bartnicka, Alicia Piedrabuena, Raquel Portilla, Juan Luis Moyano-Cuevas, José Blas Pagador, Francisco M. Sánchez-Margallo, Peter Augat, Dariusz Michalak, Jarosław Tokarczyk
Advances in Intelligent Systems and Computing, 2018
Validation of the three web quality dimensions of a minimally invasive surgery e-learning platform
Juan Francisco Ortega-Morán, J. Blas Pagador, Luisa Fernanda Sánchez-Peralta, Patricia Sánchez-González, José Noguera, Daniel Burgos, Enrique J. Gómez, Francisco M. Sánchez-Margallo
International Journal of Medical Informatics, 2017
Posttraumatic and postsurgical abdomen
Bellini, D., De Cecco, C. N., De Santis, D., Rengo, M., Morris, J., et al.
Imaging of the Cardiovascular System Thorax and Abdomen, 2017
Application of fluid mechanics and simulation: Urinary tract and ureteral catheters
Archivos Espanoles De Urologia, 2016
Preoperative and intraoperative spatial reasoning support with 3D organ and vascular models: Derived from CT data using VTK and IGSTK
João Fradinho Oliveira, José Luis Moyano-Cuevas, J. Blas Pagador, Hugo Capote, Francisco Miguel Sánchez Margallo
Medical Imaging Concepts Methodologies Tools and Applications, 2016
Validation of a simulator for temporomandibular joint arthroscopy
F. Monje Gil, C. Hernandez Vila, J.L. Moyano Cuevas, M. Lyra, J.B. Pagador, F.M. Sanchez Margallo
International Journal of Oral and Maxillofacial Surgery, 2016
Approaches towards training in human risk management of surgical technology
Norman Geissler, Andrej Machno, Luisa F. Sánchez-Peralta, José Blas Pagador, Francisco M. Sánchez-Margallo, Werner Korb
Biomedizinische Technik, 2016
Fluid Structural Analysis of Urine Flow in a Stented Ureter
J. Carlos Gómez-Blanco, F. Javier Martínez-Reina, Domingo Cruz, J. Blas Pagador, Francisco M. Sánchez-Margallo, Federico Soria
Computational and Mathematical Methods in Medicine, 2016
Ergonomics problems due to the use and design of dissector and needle holder: A survey in minimally invasive surgery
Marcos Lucas-Hernández, José B. Pagador, Francisco J. Pérez-Duarte, Purificación Castelló, Francisco M. Sánchez-Margallo
Surgical Laparoscopy Endoscopy and Percutaneous Techniques, 2014
Ergonomics during the use of LESS instruments in basic tasks: 2 articulated vs. 1 straight and 1 articulated Graspers
M. Lucas-Hernández, F. J. Pérez-Duarte, A. M. Matos-Azevedo, J. B. Pagador, F. M. Sánchez-Margallo
Ifmbe Proceedings, 2014
Usefulness of an optical tracking system in laparoscopic surgery for motor skills assessment
Juan A. Sánchez-Margallo, Francisco M. Sánchez-Margallo, José B. Pagador Carrasco, Ignacio Oropesa García, Enrique J. Gómez Aguilera, José Moreno del Pozo
Cirugia Espanola, 2014
3D segmentation of MRI of the liver using support vector machine
J. L. Moyano-Cuevas, A. Plaza, I. Dopido, J. B. Pagador, J. A. Sanchez-Margallo, L. F. Sánchez, F. M. Sánchez-Margallo
Ifmbe Proceedings, 2014
New technologies in minimally invasive surgery training: What do surgeons demand?
Cirugia Y Cirujanos, 2013
E-learning and multimedia contents for minimally invasive surgery learning: A questionnaire survey
Luisa F. Sánchez-Peralta, Francisco M. Sánchez-Margallo, José Blas Pagador, José Luis Moyano-Cuevas, Enrique J. Gómez Aguilera, José Francisco Noguera-Aguilar
International Journal of E Health and Medical Communications, 2013
Technical evaluation of a third generation optical pose tracker for motion analysis and image-guided surgery
Juan A. Sánchez-Margallo, Francisco M. Sánchez-Margallo, José B. Pagador, Ignacio Oropesa, Marcos Lucas, Enrique J. Gómez, José Moreno
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
Effects of pneumoperitoneum and body position on the morphology of abdominal vascular structures analyzed in MRI
Jose L. Moyano‐Cuevas, Francisco M. Sánchez‐Margallo, Juan Maestre‐Antequera, Luis Dávila‐Gómez, Jose B. Pagador, Luisa F. Sánchez‐Peralta, Rafael Latorre
Journal of Magnetic Resonance Imaging, 2012
Learning curves of basic laparoscopic psychomotor skills in SINERGIA VR simulator
L. F. Sánchez-Peralta, F. M. Sánchez-Margallo, J. L. Moyano-Cuevas, J. B. Pagador, S. Enciso, E. J. Gómez-Aguilera, J. Usón-Gargallo
International Journal of Computer Assisted Radiology and Surgery, 2012
Decomposition and analysis of laparoscopic suturing task using tool-motion analysis (TMA): Improving the objective assessment
J. B. Pagador, F. M. Sánchez-Margallo, L. F. Sánchez-Peralta, J. A. Sánchez-Margallo, J. L. Moyano-Cuevas, S. Enciso-Sanz, J. Usón-Gargallo, J. Moreno
International Journal of Computer Assisted Radiology and Surgery, 2012
Video-based assistance system for training in minimally invasive surgery
Juan A. Sánchez-Margallo, Francisco M. Sánchez-Margallo, José B. Pagador, Enrique J. Gómez, Patricia Sánchez-González, Jesús Usón, José Moreno
Minimally Invasive Therapy and Allied Technologies, 2011
Anatomical changes due to pneumoperitoneum analyzed by MRI: An experimental study in pigs
F. M. Sánchez-Margallo, J. L. Moyano-Cuevas, R. Latorre, J. Maestre, L. Correa, J. B. Pagador, L. F. Sánchez-Peralta, J. A. Sánchez-Margallo, J. Usón-Gargallo
Surgical and Radiologic Anatomy, 2011
Augmented reality haptic (ARH): An approach of electromagnetic tracking in minimally invasive surgery
J. B. Pagador, L. F. Sánchez, J. A. Sánchez, P. Bustos, J. Moreno, F. M. Sánchez-Margallo
International Journal of Computer Assisted Radiology and Surgery, 2011
Electronic device for endosurgical skills training (EDEST): Study of reliability
J. B. Pagador, J. Uson, M. A. Sánchez, J. L. Moyano, J. Moreno, P. Bustos, J. Mateos, F. M. Sánchez-Margallo
International Journal of Computer Assisted Radiology and Surgery, 2011
Methods and tools for objective assessment of psychomotor skills in laparoscopic surgery
Ignacio Oropesa, Patricia Sánchez-González, Pablo Lamata, Magdalena K. Chmarra, José B. Pagador, Juan A. Sánchez-Margallo, Francisco M. Sánchez-Margallo, Enrique J. Gómez
Journal of Surgical Research, 2011
Validation of SINERGIA as training tool: A randomized study to test the transfer of acquired basic psychomotor skills to LapMentor
J. L. Moyano-Cuevas, F. M. Sánchez-Margallo, L. F. Sánchez-Peralta, J. B. Pagador, S. Enciso, P. Sánchez-González, E. J. Gómez-Aguilera, J. Usón-Gargallo
International Journal of Computer Assisted Radiology and Surgery, 2011
Ergonomic assessment of hand movements in laparoscopic surgery using the CyberGlove®
Francisco M. Sánchez-Margallo, Juan A. Sánchez-Margallo, José B. Pagador, José L. Moyano, José Moreno, Jesús Usón
Computational Biomechanics for Medicine, 2010
Construct and face validity of SINERGIA laparoscopic virtual reality simulator
Luisa F. Sánchez-Peralta, Francisco M. Sánchez-Margallo, José Luis Moyano-Cuevas, José Blas Pagador, Silvia Enciso-Sanz, Patricia Sánchez-González, Enrique J. Gómez-Aguilera, Jesús Usón-Gargallo
International Journal of Computer Assisted Radiology and Surgery, 2010
Virtual reality thread simulation for laparoscopic suturing training
Studies in Health Technology and Informatics, 2006
Analysis of tissue consistency perception for laparoscopic simulator design
Pablo Lamata, Enrique J Gómez, Francisco M Sánchez-Margallo, Félix Lamata, Francisco Gayá, José B Pagador, Jesús Usón, Francisco del Pozo
International Congress Series, 2004
Active contour on the basis of inertia
J. B. Pagador, J. Moreno, V. Masero, J. M. León-Rojas
Proceedings of the ACM Symposium on Applied Computing, 2004
A new methodology to characterize sensory interaction for use in laparoscopic surgery simulation
Pablo Lamata, Enrique J. Gómez, Francisco M. Sánchez-Margallo, Félix Lamata, Francisco Gayá, José B. Pagador, Jesús Usón, Francisco del Pozo
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2004

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