Hans van Assen studied Applied Physics at Delft University of Technology, where he graduated in 1995, in the Pattern Recognition group, led by professor Ted Young (currently called "Quantitative Imaging" and led by Prof. Lucas van Vliet). His final project was about collision avoidance of multiple robots in a flexible assembly cell. After his graduation, Hans performed medical image analysis research on peripheral vascular segmentation and stenosis quantification. He obtained his PhD (2006) at the Department of Radiology of the Leiden University Medical Center. His PhD research (2000-2005) was on "3D Active Shape Modeling for Cardiac MR and CT Image Segmentation". The PhD research was carried out at the LKEB (Laboratory for Clinical and Experimental Image Processing). From 2005 until 2011, he was a post-doc and subsequently assistant professor in the Biomedical Image Analysis group within the Department of Biomedical Engineering of the TU/e. He currently is a research fellow on Cardiac Image Analysis at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and a visiting scientist at the Catharina Hospital Eindhoven (CHE). He is the project leader of a number of STW projects. Currently, the topics of Hans' research are cardiac left ventricle motion and deformation quantification, cardiac left atrium wall characterisation for electrophysiology ablation guidance and assessment, and the assessment of the transpulmonary circulation using indicator dilution curves. He has been a member of several PhD committees and is currently co-advisor of multiple PhD projects. Hans is a reviewer for a number of top journals (IEEE TMI, IEEE TITB, Investigative Radiology, International Journal of CARS) and conferences (MICCAI, IPMI, ICCV, IEEE ISBI, ICPR, EuroGraphics).
Peter Bovendeerd is assistant professor in the Cardiovascular Biomechanics group in the department of Biomedical Engineering at the Eindhoven University of Technology. In 1985 he received his MSc degree in Applied Physics at the same university. In 1990 he received his PhD degree from the University of Limburg in Maastricht (nowadays known as Maastricht University). His PhD research was focussed on the numerical and experimental analysis of the mechanics of the normal and ischemic cardiac left ventricle. From 1990 to 2001 he was assistant professor in the department of Mechanical Engineering, TU/e, with cardiac and skeletal muscle mechanics and injury biomechanics as research topics. In 2001 he was appointed at the department of Biomedical Engineering. His current research interests include the computational and experimental analysis of the cardiovascular system. Focus lies on model based interpretation of clinical (image) data, to assist in clinical diagnosis and intervention selection, and on modeling cardiovascular growth and remodeling, to assess the long-term eect of potential interventions.
Marcel Breeuwer was born in Haarlem, The Netherlands, in 1957. In 1982 he received his degree in Electrical Engineering from the Technical University of Delft, The Netherlands. In 1985, he received his PhD from the Free University of Amsterdam, The Netherlands, for his research on supplementing lipreading with auditory information. From 1985 until 1996 he was Research Scientist at the Philips Research Laboratories, Eindhoven, The Netherlands, where he investigated data compression of audio, video and medical images and where he was heading the video coding cluster. In 1996 he started as Senior Scientist at Philips Healthcare, Best, The Netherlands in the area of image-guided surgery and medical image processing. In 2006 he became Principal Scientist and head of the cardiovascular team in the Clinical Science & Advanced Development department of the Business Unit Clinical Informatics, with focus on medical image analysis & visualization applications for supporting the care of patients with cardiovascular disease. In 2010 he moved to the MR Clinical Science department. He has lead several externally funded projects and is currently representing Philips Healthcare in various EU funded research projects. He is (co)author of over 100 scientific publications and is (co) inventor of over 40 patent applications (27 in the domain of healthcare). He is part-time professor (1 day/week) in the Biomedical Image Analysis group of the Biomedical Engineering department of the Eindhoven University of Technology, The Netherlands, with focus on cardiovascular image analysis and visualization. He recently joined the Board of the Dutch Society of Pattern Recognition and Image Processing (NVPHBV).
Tom Dela Haije studied at the Eindhoven University of Technology, where he received a MSc in Biomedical Engineering with honors in 2012. During his master track he spent five months in Paris working at Philips Healthcare on "Onset Detection in First-Pass Perfusion MRI", and one month in China in light of the Mobile Technology and Healthcare summer-school hosted by the Northeastern University in Shenyang. He subsequently worked on the enhancement of diffusion weighted MRI data at the BioMedical Image Analysis group (BMIA), continuing work he started during a previous internship. In September 2012 he started as a PhD candidate in the Mathematical Image Analysis group of the Imaging Science & Technology research group (IST/e) on a project titled "Riemann-Finsler Geometry for Human Brain Connectomics".
Remco Duits is assistant professor in Mathematical Image Analysis in the Applied Analysis group and in the Biomedical Image Analysis group, both at Eindhoven University of Technology. He holds an MSc in mathematics (2001), and a PhD in biomedical image analysis (2005), both with honors (top 5%) from Eindhoven University of Technology. He received the best PhD thesis award from the Department of Biomedical Engineering for his thesis on "Perceptual Organization in Image Analysis: A Mathematical Approach based on Scale, Orientation and Curvature". His main interests are perceptual organization based on axiomatic models for orientation, scale and local frequency, and applications to biomedical image analysis. He has acted as a reviewer for the Journal of Mathematical Imaging and Vision, the International Journal of Computer Vision, and the IEEE Transactions on Medical Imaging, and has been a member of the review committee of the biannual international conference on Scale Space and Variational Methods (SSVM). He has delivered several invited lectures at international conferences, workshops, and seminars. He has (co-)authored more than 25 peer reviewed articles and conference papers, and received best paper awards at several conferences and workshops, among which the ICCV 2007 Workshop on Mathematical Methods in Biomedical Image Analysis (2007, Rio de Janeiro), the conference on Pattern Recognition and Image Analysis (2006, Moscow), and the international conference on Scale Space Methods in Computer Vision (2003, Isle of Skye). Among these, four have led to invited journal articles in the International Journal of Computer Vision.
Olena Filatova was born in 1989 in Odessa, Ukraine. In 2010 she received her BSc degree in Applied Mathematics at Odessa Mechnikov National University. While studying at the university Olena was working as a secretary of Ukrainian National Young Physicists Tournament and at Odessa Richelieu lyceum, preparing students for the competitions in physics. She was awarded a scholarship to study at Eindhoven University of Technology within Talented Students Program and received a MSc degree in Industrial and Applied Mathematics in 2012. Since October 2012 she is working as a PDEng student at Eindhoven University of Technology on the project "Progression in image analysis for percutaneous aortic valve replacement".
Luc Florack received his MSc degree in theoretical physics in 1989 and his PhD degree in 1993 (cum laude, top 2%) at Utrecht University, The Netherlands, under the supervision of professor Max Viergever and professor Jan Koenderink. During the period 1994-1995 he was an ERCIM/HCM research fellow at INRIA Sophia-Antipolis, France, with professor Olivier Faugeras, and at INESC Aveiro, Portugal, with professor Antonio Sousa Pereira. In 1996 he was an assistant research professor at DIKU, Copenhagen, Denmark, with professor Peter Johansen, on a grant from the Danish Research Council. In 1997 he returned to Utrecht University, were he became an assistant research professor at the Department of Mathematics and Computer Science. In 2001 he moved to Eindhoven University of Technology, Department of Biomedical Engineering, where he became an associate professor in 2002. In 2007 he was appointed full professor at the Department of Mathematics and Computer Science, establishing the chair of Mathematical Image Analysis, but he retained a part-time professorship at the former department. His research covers mathematical models of structural aspects of signals, images, and movies, particularly multiscale and differential geometric representations and their applications, with a focus on complex magnetic resonance images for cardiological and neurological applications. In 2010, with support of the Executive Board of Eindhoven University of Technology, he founded the Imaging Science & Technology research group (IST/e), a cross-divisional collaboration involving several academic groups on image acquisition, biomedical and mathematical image analysis, visualization and visual analytics.
Erik Franken is software scientist working at FEI Company in Eindhoven, where he is researcher and project leader on 3D image processing techniques for transmission electron microscopy (TEM). He studied Electrical Engineering at the Eindhoven University of Technology (MSc degree cum laude in 2004). Afterwards, he did his PhD at the Biomedical Image Analysis group at Eindhoven University of Technology on the enhancement of crossing elongated structures in images (defended cum laude in December 2008). His main interests are: Image processing and analysis to get the maximum information out of noisy real-life data, software programming and design to obtain high-quality implementations of innovative algorithms, and electron microscopy techniques.
Andrea Fuster received her MSc degree in Theoretical Physics in 2001 from University of the Basque Country in Spain, having spent two years as an exchange student in University of Groningen, The Netherlands, on grants from the Erasmus programme and the European Physical Society. She obtained her PhD degree in 2007 from the Free University in Amsterdam, The Netherlands, with support from a Basque Government research grant and FOM (Foundation for Fundamental Research on Matter). The area of her thesis was General Relativity. In particular, she studied a certain type of space-times with applications in Supergravity and Superstring Theory. In 2008 she moved to Eindhoven University of Technology, Department of Biomedical Engineering, where she became a postdoc in the Biomedical Image Analysis group. In October 2011 she joined the Mathematical Image Analysis group at the Department of Mathematics and Computer Science. Her research interest focuses on tensor analysis and differential geometry in the context of biomedical image analysis. She is also vice-chair of WISE-Network, the network of female scientists of TU/e.
Bart ter Haar Romeny is full professor of the Biomedical Image Analysis group at Eindhoven University of Technology. He received a MSc in applied physics (1978) from Delft University of Technology and a PhD in biophysics (1983) from Utrecht University. His main research interests are medical image analysis and its foundations and clinical applications, with a particular fascination for "biomimicking" of human visual expertise in terms of mathematical principles that can be operationalized in computer-aided diagnosis systems. He authored an interactive tutorial book on multi-scale computer vision techniques, edited a book on non-linear diffusion theory in computer vision and is involved in (resp. initiated) a number of international collaborations on these subjects. In 1997 he founded the first conference in the biannual series of International Scale Space Conferences. In 2007 he chaired the ninth Mathematica Symposium in Maastricht. He is (co-)author of over 90 refereed journal papers, 8 books and book chapters, 75 refereed proceedings contributions and holds 2 patents. He supervised many PhD students, of which 5 graduated with honors. He is reviewer for many journals and conferences. He is associate editor of the Journal of Mathematical Imaging and Vision and the IEEE Transactions on Information Technology in Biomedicine. For 6 years, ter Haar Romeny has been a member of the Program Planning Committee of the European Congress of Radiology (Vienna, 18.000 participants), responsible for the computer applications section. At present he is President of the Dutch Society for Pattern Recognition and Image Procession (NVPHBV), and was President of other societies, such as the Dutch Society for Biophysics & Biomedical Engineering (1998-2002), and the Dutch Society of Clinical Physics (NVKF, 1990-1992). He is a Member of the Governing Board, NWO-FOM, Vice Dean Research of the Sino-Dutch Biomedical and Information Engineering School, Shenyang, China (2006-present), and an active member of many other committees. He is an active teacher (best BME MSc teacher awards 2008, 2009) and has presented dozens of keynote lectures worldwide.
Michiel Hochstenbach received his PhD degree in mathematics in 2003 at Utrecht University, The Netherlands, in the group of Henk van der Vorst. After a brief postdoc position at Düsseldorf University he became an assistant professor at Case Western Reserve University in Cleveland, Ohio. He spent a sabbatical at ULB Brussels. In 2006 he moved to the Department of Mathematics at Eindhoven University of Technology, where he is currently an associate professor in the Center of Analysis, Scientific Computing and Application. His research interests include numerical linear algebra, ill-posed and inverse problems, numerical analysis, scientific computing, and numerical algorithms and software. Michiel was awarded an NSF grant in the US (2004-2007) as well as an NWO grant in The Netherlands (2012-2017). He received several best paper awards, and is member of the editor board of various journals.
Andrei Jalba is assistant professor in the Algorithms and Visualization section, Department of Mathematics and Computer Science, at the Eindhoven University of Technology. In 1999 he received his MSc degree in Applied Electronics and Information Engineering from the Politechnica University of Bucharest, Romania. He holds a PhD degree in Mathematics and Natural Sciences (2004) from the University of Groningen, The Netherlands. His research interests include scientific and parallel computing with applications in (medical) image processing and computer graphics, deformable models and multi-scale shape processing.
With an MSc electrical engineering and a PhD in medical image analysis (both from the Eindhoven University of Technology) Frans Kanters is specialized in the development of image analysis algorithms and the implementation of image analysis algorithms on FPGAs for real-time applications. He enjoys the combination of abstract research and practical vision implementations, whence his part-time position as researcher at Eindhoven University of Technology besides running his own company Inviso B.V. In order to better understand and serve the business of the customer he followed an executive Master of Business Innovation at TiasNimbas Business School. Frans' company Inviso B.V. is a spin-off company from Eindhoven University of Technology, specialized in the development of image analysis algorithms and the implementation of such algorithms into FPGAs. Inviso B.V. uses state of the art algorithms based on the human visual system and combines this with the highest performance FPGA implementations to provide enabling technology for medical, industrial, defense and robotic vision applications. Inviso B.V. offers consultancy and contract research and develops innovative image analysis products based on proprietary technology. A close collaboration between Inviso and the Imaging Science & Technology research group (IST/e) ensures that always state of the art research results are used in our solutions.
Hanne Kause, born on the 5th of December in 1987 in Amsterdam, received a BSc degree in Mathematics (2010) at the Radboud University Nijmegen. During this period she spent six months in Paris to take courses in logic and category theory at Université Paris Diderot. In 2009, Hanne was chair of the board of the "Wiskundetoernooi", a mathematical tournament organized by the Radboud University Nijmegen. Hanne received a MSc degree in Biomedical Image Sciences at the University of Utrecht (2012) for which she focussed on treatment planning for radiotherapy. Currently, she is working on strain analysis of the myocardial function with tagging MRI.
Marco Loog received an MSc degree in mathematics from Utrecht University and in 2004 a PhD degree from the Image Sciences Institute for the development and improvement of contextual statistical pattern recognition methods and their use in the processing and analysis of images. He subsequently moved to Copenhagen where he acted as assistant and, eventually, associate professor, next to which he worked as a research scientist at Nordic Bioscience. In 2008 Marco moved to Delft University of Technology, where he now works as an assistant professor in the Pattern Recognition Laboratory. He is currently chair of Technical Committee 1 of the IAPR, holds several associate editorships, is honorary full professor in pattern recognition at the University of Copenhagen, and is also affiliated with the Imaging Science & Technology research group (IST/e) of Eindhoven University of Technology. Marco's research interests include multiscale image analysis, semi-supervised and multiple instance learning, saliency, computational perception, the dissimilarity approach, and black math.
Massimo Mischi received the MSc degree in Electrical Engineering at La Sapienza University of Rome (IT) in 1999. In 2004 he received the PhD degree from the Eindhoven University of Technology. In 2007 he became assistant professor and since 2011 he is associate professor at the Electrical Engineering Department of the TU/e. His research focuses on model-based quantitative analysis of biomedical signals. He was awarded with the STW VIDI Grant in 2009 and with the ERC Starting Grant in 2011 for his research on angiogenesis imaging. Massimo Mischi is Senior Member of the IEEE and Secretary of the IEEE EMBS Benelux Chapter.
Abdallah Motaal is a PhD candidate at the Department of Biomedical Engineering of Eindhoven University of Technology. Abdallah was born in Aswan, Egypt in 1985. He received his BSc degree from the Biomedical Engineering department of Cairo University with honors. He then joined the Medical Imaging and Image processing lab at Center for Informatics Science, Nile University, Egypt, where he obtained his MSc degree in communication and information technology. In October 2010, he joined the Biomedical NMR lab as junior researcher. His research is focused on Nuclear Magnetic Resonance Imaging and concerns the development of cardiac magnetic resonance imaging techniques to predict or reveal pathology related to cardiomyopathy. Besides, he is interested in developing algorithms and techniques for fast MR signal acquisition and image reconstruction.
Klaas Nicolay is full professor of Biomedical NMR at Eindhoven University of Technology. He received a BSc in chemistry from Free University Amsterdam (1975), and a MSc in chemistry (1979) and a PhD degree from Groningen University (1983). His main research interests are the development of advanced magnetic resonance (MR) imaging and spectroscopy techniques to assess the structure, function and metabolism of tissues in vivo, in relation to cardiovascular diseases, skeletal muscle disorders and cancer. He is (co-)author on over 250 peer-reviewed papers and his H-factor is 41. He is a member of the editorial boards of Magnetic Resonance in Medicine, Journal of Magnetic Resonance and Journal of Cerebral Blood Flow and Metabolism. From 2004-2008, he was a member of the Board of Trustees of the International Society of Magnetic Resonance in Medicine (ISMRM). He is program director of ISMRM's Molecular and Cellular Imaging study group and previously was program director of the Diffusion & Perfusion study group and chair of the Dynamic NMR Spectroscopy study group. He has delivered plenary lectures at many leading MR conferences, including the 2008 ESMRMB meeting (Valencia) and the 2009 ISMRM meeting (Honolulu). He is one of the founding fathers of the European Society of Molecular Imaging (ESMI). Building on his group's expertise and research focus, his main interest in the current proposal is the tight interaction between MRI image acquisition and image analysis, with the aim to optimize acquisition schemes for extracting micro-structure and function of the heart.
Ahmed O. AlAgamy studied Systems and Biomedical Engineering at Cairo University, where he graduated (BSc) in 2008. In the period of 2009-2010, he was called to work for the Egyptian Army as Teaching Assistant and Lab Instructor at the Technical School for Biomedical Devices and Instrument (TSBDI). Subsequently, he earned an internship at the Center for Informatics Science, Nile University, Egypt; where he started his research in Medical Imaging and Image Processing. His main research areas focus on Cardiac Magnetic Resonance Imaging (CMRI). In 2012, he received his MSc degree on Cardiovascular Image Segmentation. Since September 2012 he is a PhD-Candidate at Eindhoven University of Technology working on CHARIGMA: CHARacterization of Wall Properties for Image Guided management of Atrial Fibrillation.
Roy van Pelt studied Computer Science and Engineering at Eindhoven University of Technology. His graduation project was carried out at the faculty of Biomedical Engineering in 2007, in the Biomedical Image Analysis group, led by professor Bart ter Haar Romeny. His final project, supervised by dr. Anna Vilanova, focused on 3D illustrative visualization using modern consumer graphics hardware. After his graduation, he started his PhD project at the Biomedical Image Analysis group, in collaboration with Philips Healthcare. His PhD thesis (2008-2012) concerned "Real-time Illustrative Visualization of Cardiovascular Hemodynamics", investigating interactive visualization techniques for MRI-acquired time-resolved volumetric blood-flow velocity fields.
Rui M. Castro received a Licenciatura degree in aerospace engineering in 1998 from the Instituto Superior Técnico, Technical University of Lisbon, Portugal, and a PhD degree in electrical and computer engineering from Rice University, Houston, Texas in 2008. Between 1998 and 2000 he was a researcher with the Communication Theory and Pattern Recognition Group, Institute of Telecommunications, Lisbon, and in 2002 he held a visiting researcher position at the Mathematics Research Center, Bell Laboratories Research. He was a postdoctoral fellow at the University of Wisconsin in 2007-2008, and between 2008 and 2010 he held an Assistant Professor position in the department of electrical engineering at Columbia University. He is currently an assistant professor in the Department of Mathematics and Computer Science of the Eindhoven University of Technology in the Netherlands. His broad research interests include learning theory, non-parametric and high-dimensional statistics, statistical signal and image processing, network inference, and pattern recognition. Rui Castro received a Rice University Graduate Fellowship in 2000 and a Graduate Student Mentor Award from the University of Wisconsin in 2007. He has been also a distinguished speaker in the Canadian Computer and Robot Vision Conference, and a plenary speaker in the Workshop on Information Theoretic Methods in Science and Engineering.
Jeanine Prompers is associate professor of Biomedical Magnetic Resonance Spectroscopy (MRS) in the department of Biomedical Engineering at Eindhoven University of Technology (the Netherlands). She studied Chemistry at the Radboud University Nijmegen (the Netherlands), where she graduated cum laude in 1994. The following years she performed a PhD project in the group of Prof. Dr. C.W. Hilbers at the Radboud University Nijmegen in the field of high-resolution protein MRS. In 1999, she obtained her PhD degree with a dissertation entitled "NMR studies of Fusarium solani pisi cutinase - Structure-mobility-function relationships". After her PhD, she was awarded a long-term postdoctoral fellowship from the Human Frontier of Science Program for two years of research with Prof. Brüschweiler (Clark University, USA). During this period, she studied correlated protein motions by a combined interpretation of MR relaxation data and molecular dynamics simulations. After her postdoc, she joined the Biomedical NMR group of Prof. Nicolay at Eindhoven University of Technology in 2002 as an assistant professor. Her research interest is to characterize metabolic disturbances underlying the etiology of metabolic disorders, such as insulin resistance and type 2 diabetes, using a multi-tissue approach. To this end she develops in vivo MRS methods to study metabolic processes in skeletal muscle, heart and liver, such as mitochondrial bioenergetics and intracellular lipid handling. In 2008, she was awarded a NWO VIDI grant entitled "In vivo magnetic resonance spectroscopy of lipid dynamics in insulin-resistant muscle". In 2012, she was promoted to associate professor.
Gustav Strijkers (1971) is associate professor of Biomedical MRI in the Department of Biomedical Engineering of the Eindhoven University of Technology. He has successfully initiated a number of scientific research lines. A first important line of research involves Diffusion Tensor Imaging (DTI) of muscle, with a focus on in vivo architecture of human skeletal muscles and on myocardial fiber architecture of the healthy heart and remodeling processes after myocardial infarction. A second research line focuses on the development of new quantitative imaging protocols for cardiovascular MRI. Recent highlights include the development of a 3D T1-mapping technique for the myocardium and a novel first-pass perfusion method for a quantitative evaluation of the perfusion status of the heart.
Jan ten Thije Boonkkamp received his PhD degree in mathematics in 1988 at University of Amsterdam. In his PhD research he worked on numerical simulation methods for incompressible flow. In 1988 he moved to Philips Research Laboratories, where he worked on numerical methods for semiconductor device simulation. In 1991 he joined the Department of Mathematics and Computer Science of Eindhoven University of Technology, where he is currently Assistent Professor in the Scientific Computing Group. His research covers numerical methods for partial differential equations and applications thereof. Applications he worked on are, a.o., numerical simulation of laminar flames, flow through complicated networks, plasma simulation, diffusion tensor imaging and inverse methods for optical design.
Dr. Anna Vilanova is Assistant Professor at the Biomedical Image Analysis group of the Biomedical Engineering Department at the Eindhoven University of Technology. She received her PhD degree in 2001 from the Vienna University of Technology. The title of her PhD thesis was "Visualization Techniques for Virtual Endoscopy". Currently she is leading a research group in the subject of multivalued image analysis and visualization, focusing on Diffusion Weighted Imaging and 4D Flow. Her research interests include medical visualization, volume visualization, multivalued visualization, and medical image analysis. In 2005, she was awarded a NWO-Veni grant with title "Visualization of Global Tensor Information for Diffusion Tensor Imaging". She is member of the international program committee of several conferences (e.g., IEEE Visualization and EG- IEEE VGTC-EuroVis). She has been chair and editor of relevant conferences and journals in her field of research (e.g., EuroVis 2008, Computer & Graphics).
Jack van Wijk is full professor in Visualization at Eindhoven University of Technology. He holds a PhD in computer science (1986) and a MSc in industrial design engineering (1982) from Delft University of Technology, both with honors. His research interest is data visualization, with an emphasis on visual representations. He has (co-)authored more than 100 papers, including 3 ACM SIGGRAPH, 18 IEEE Visualization, 10 IEEE InfoVis, 5 regular IEEE TVCG, and 3 ACM CHI papers. He has been a paper co-chair for IEEE Visualization (2003, 2004), IEEE InfoVis (2006, 2007), IEEE VAST (2009), general chair of IEEE InfoVis for 2008, is paper co-chair for IEEE PacicVis 2010, and will be paper cochair for IEEE/EG EuroVis 2011. He has been co-guest-editor of a special issue on Visual Analytics of TVCG, and is work package leader in the EU Coordination Action Project VisMaster. He received the IEEE Visualization Technical Achievement Award in 2007, best paper awards at IEEE InfoVis in 2003, IEEE Visualization 2005, and was rewarded with the Henry Johns award for the most outstanding article in The Cartographic Journal in 2008.
Mehmet Yusufoglu studied at the Bogazici University, where he received his BSc and MSc degrees in Electrical and Electronics Engineering in 1997 and 2002 respectively. He has worked as a software developer and research engineer for various companies and labs in Europe and Turkey, including Thales Group France, Remote Sensing and Satellite Imaging Center at ITU, Volumetric Analysis and Visualisation Laboratory of BU in Turkey. He has been developing platform independent medical image visualization and analysis software for three years. As a member of the Imaging Science & Technology research group (IST/e) he is responsible for the integration, development and maintenance of the open-source platform vISt/e.