Javier Pascau

Javier Pascau

Department of Bioengineering and Aerospace Engineering, Universidad Carlos III de Madrid

Affiliated withUniversidad Carlos III de MadridInstituto de Investigación Sanitaria Gregorio Marañón

Research Area

Biography

Javier Pascau is Associate Professor from the Department of Bioengineering and Aerospace Engineering at Universidad Carlos III de Madrid since 2011. He received his degree on Telecommunication Engineering from Universidad Politécnica de Madrid in 1999, a Master in Biomedical Technology and Instrumentation in 2005 and his PhD from Universidad Politécnica de Madrid in 2006. Before joining UC3M he was a research fellow at the Medical Imaging Lab in Hospital Gregorio Marañón in Madrid, where he also supervised the digital radiology migration project.

His research lines include multimodal image quantification and registration both in clinical and preclinical areas, surgical guidance by combining image studies and tracking systems and machine learning methods for medical image analysis. He has published more than 50 papers in indexed journals, is co-inventor of one patent and has contributed to several proceedings in medical and engineering meetings. As principal investigator he has led several projects from competitive calls in Health Technology Evaluation, Public-Private collaboration, National Research Plan for Societal Challenges, Technological Development and Era Net FP7 Consortium. He collaborates with several international research groups in Image Guided Treatments. In 2014 he visited Brigham and Women’s Hospital in Boston for 6 months.

JoVE Journal Publications

ArticleTotal : 1
Year
Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
Publication title

Cited by 29

2020

Other Publications

Article
Year
jClustering, an open framework for the development of 4D clustering algorithms.

PloS one| PubMed ID: 23990913

2013
2014
2014
2015
2016
2016
2016
2016
Assessment of intraoperative 3D imaging alternatives for IOERT dose estimation.

Zeitschrift fur medizinische Physik| PubMed ID: 27567405

2017
ConoSurf: Open-source 3D scanning system based on a conoscopic holography device for acquiring surgical surfaces.

The international journal of medical robotics + computer assisted surgery : MRCAS| PubMed ID: 27868345

2017
2016
Spatiotemporal alignment of in utero BOLD-MRI series.

Journal of magnetic resonance imaging : JMRI| PubMed ID: 28152240

2017
2018
EMPHYSEMA QUANTIFICATION ON SIMULATED X-RAYS THROUGH DEEP LEARNING TECHNIQUES.

Proceedings. IEEE International Symposium on Biomedical Imaging| PubMed ID: 30450153

2018
2018
2018
2019
2019