For Medical Endoscopy
Our mission is to provide reliable solutions for improving visualization and guiding the surgeon during minimally invasive medical (MIS) procedures. MIS procedures avoid the trauma of healthy tissues, which is highly beneficial for the patient, and reduces the costs of healthcare by minimizing the recovery time. Thus, the market of medical endoscopy is quickly growing and we feel that technology can do much more for assisting the doctor during surgery. Our products make a difference, not only in terms of improving the surgical outcome, but also in reducing the learning curve of the endoscopy practitioner.
Joao P. Barreto received the MsC. degree in Electrical and Engineering, and the Ph.D. degree in Computer Vision and Robotics, from the University of Coimbra, Portugal, in 1997 and 2004, respectively. From 2003 to 2005, he was a Postdoctoral Researcher with the University of Pennsylvania, Philadelphia. He is currently an Assistant Professor with the University of Coimbra, and a senior Researcher with the Institute for Systems and Robotics, where he leads a research team in Computer Vision for Computer Aided Surgery.
In the last few years he has been involved in several projects and initiatives for transferring technology between university and industry. He also worked as a consultant for Critical Software S.A. where he was responsible for the product development of the real-time OS xLuna.
In the last decade Joao has published more than 20 articles in the most prestigious journals and conferences in computer vision and robotics, having received several distinctions and scientific awards during his career.contact: jpbar[a]isr.uc.pt
Rui Melo received the Integrated Master's degree (BSc+MSc) in Electrical and Computers Engineering from the University of Coimbra, Coimbra, Portugal, in 2009. Since then he has been a computer vision researcher at the Institute for Systems and Robotics - Coimbra.
He has worked in camera calibration and real-time image processing algorithms, delivering practical solutions for medical applications. Part of his research work contributed to the RDFixer solution.
He is currently a PhD student at the University of Coimbra, researching real-time solutions for stereo reconstruction applied to urban modelling and autonomous driving. contact: rmelo[a]isr.uc.pt