Javier Pascau

Contact Information

Laboratorio de Imagen Médica
Unidad de Medicina y Cirugía Experimental
Fundación para la Investigación Biomédica del Hospital Gregorio Marañón
C/Doctor Esquerdo 46, 28007, Madrid, Spain

Department of Biengineering and Aerospace Engineering
Universidad Carlos III de Madrid
Avda. de la Universidad 30 (7.2.H09)
28911, Leganés, Spain

Phone #: +34 91 6248196

Email: jpascau@ing.uc3m.es

Bio

Javier Pascau González-Garzón 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 Laboratorio de Imagen Médica (Hospital Gregorio Marañón) in Madrid, where he also supervised the digital radiology migration project.
His research topics 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 60 papers in indexed journals, is co-inventor of two patents 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 EraPerNet H2020 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.

Scientific results

Supervisor of 3 PhD Theses defended in 2017 and 2021, and five ongoing (2 to be defended in 2021).

  • Total number of journal articles and proceedings (Web of Science): 115. SCI Journal articles: 63 (50% in Q1) 
  • Web of Science: Total citations 1266; H index: 21 
  • Google Scholar data: Total citations 2716. H index: 29

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