Javier Pascau
Department of Bioengineering and Aerospace Engineering
Universidad Carlos III de Madrid
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.
jClustering, an open framework for the development of 4D clustering algorithms.
PloS one , 2013 | Pubmed ID: 23990913
Image-guided intraoperative radiation therapy: current developments and future perspectives.
Expert review of medical devices Sep, 2014 | Pubmed ID: 24931224
Comparison of total variation with a motion estimation based compressed sensing approach for self-gated cardiac cine MRI in small animal studies.
PloS one , 2014 | Pubmed ID: 25350290
Using a maternal immune stimulation model of schizophrenia to study behavioral and neurobiological alterations over the developmental course.
Schizophrenia research Aug, 2015 | Pubmed ID: 26055633
fMRat: an extension of SPM for a fully automatic analysis of rodent brain functional magnetic resonance series.
Medical & biological engineering & computing May, 2016 | Pubmed ID: 26285671
Erratum to: Response to Deep Brain Stimulation in the Lateral Hypothalamic Area in a Rat Model of Obesity: In Vivo Assessment of Brain Glucose Metabolism.
Molecular imaging and biology 06, 2016 | Pubmed ID: 26862029
A Novel Prior- and Motion-Based Compressed Sensing Method for Small-Animal Respiratory Gated CT.
PloS one , 2016 | Pubmed ID: 26959370
Deep brain stimulation improves behavior and modulates neural circuits in a rodent model of schizophrenia.
Experimental neurology 09, 2016 | Pubmed ID: 27302677
Assessment of intraoperative 3D imaging alternatives for IOERT dose estimation.
Zeitschrift fur medizinische Physik Sep, 2017 | Pubmed ID: 27567405
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 Sep, 2017 | Pubmed ID: 27868345
Response to Deep Brain Stimulation in Three Brain Targets with Implications in Mental Disorders: A PET Study in Rats.
PloS one , 2016 | Pubmed ID: 28033356
Spatiotemporal alignment of in utero BOLD-MRI series.
Journal of magnetic resonance imaging : JMRI 08, 2017 | Pubmed ID: 28152240
Stimulating the nucleus accumbens in obesity: A positron emission tomography study after deep brain stimulation in a rodent model.
PloS one , 2018 | Pubmed ID: 30261068
EMPHYSEMA QUANTIFICATION ON SIMULATED X-RAYS THROUGH DEEP LEARNING TECHNIQUES.
Proceedings. IEEE International Symposium on Biomedical Imaging Apr, 2018 | Pubmed ID: 30450153
Augmented reality in computer-assisted interventions based on patient-specific 3D printed reference.
Healthcare technology letters Oct, 2018 | Pubmed ID: 30464847
Surface scanning for 3D dose calculation in intraoperative electron radiation therapy.
Radiation oncology (London, England) Dec, 2018 | Pubmed ID: 30526626
Performance of ultra-high-frequency ultrasound in the evaluation of skin involvement in systemic sclerosis: a preliminary report.
Rheumatology (Oxford, England) Oct, 2019 | Pubmed ID: 31665474
Craniosynostosis surgery: workflow based on virtual surgical planning, intraoperative navigation and 3D printed patient-specific guides and templates.
Scientific reports Nov, 2019 | Pubmed ID: 31776390
Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
Rafael Moreta-Martinez1,2,
David García-Mato1,2,
Mónica García-Sevilla1,2,
Rubén Pérez-Mañanes2,3,4,
José A. Calvo-Haro2,3,4,
Javier Pascau1,2
1Department of Bioengineering and Aerospace Engineering, Universidad Carlos III de Madrid,
2, Instituto de Investigación Sanitaria Gregorio Marañón,
3Department of Orthopedic Surgery and Traumatology, Hospital General Universitario Gregorio Marañón,
4Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid
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