Alejandro (Alex) was born in La Plata, Argentina. In 1991 he moved to Barcelona, Spain, where he obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. Then he carried out research on electrical impedance tomography for image reconstruction and noise characterization at the same institution under a CIRIT grant. In 1997 he obtained a grant from the Dutch Ministry of Economic Affairs to pursue his PhD in Medicine at the Image Sciences Institute of the University Medical Center Utrecht on model-based cardiovascular image analysis. During this period he was visiting researcher at the Imperial College in London, UK, and in Philips Medical Systems BV, The Netherlands.

Professor Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He leads the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He has been awarded a Royal Academy of Engineering Chair in Emerging Technologies (2019-2029).

Professor Frangi has edited several books, published 7 editorial articles and over 215 journal papers in key international journals of his research field and more than over 200 book chapters and international conference papers with an h-index 55 and over 20,700 citations according to Google Scholar. He has been three times Guest Editor of special issues of IEEE Trans Med Imaging, one on IEEE Trans Biomed Eng, and one of Medical Image Analysis journal. He was chair of the 3rd International Conference on Functional Imaging and Modelling of the Heart (FIMH05) held in Barcelona in June 2005, Publications Chair of the IEEE International Symposium in Biomedical Imaging (ISBI 2006), Programme Committee Member of various editions of the Intl Conf on Medical Image Computing and Computer Assisted Interventions (MICCAI) (Brisbane, AU, 2007; Beijing CN, 2010; Toronto CA 2011; Nice FR 2012; Nagoya JP 2013), International Liaison of ISBI 2009, Tutorials Co-Chair of MICCAI 2010, and Program Co-chair of MICCAI 2015. He was also General Chair for ISBI 2012 held in Barcelona. He is the General Chair of MICCAI 2018 held in Granada, Spain.

Professor Frangi is Chair of the Editorial Board of the MICCAI-Elsevier Book Series (2017-2020), and serves as Associate Editor of IEEE Trans on Medical Imaging, Medical Image Analysis, SIAM Journal Imaging Sciences, Computer Vision and Image Understanding journals. Professor Frangi was foreign member of the Review College of the Engineering and Physical Sciences Research Council (EPSRC, 2006-10) in UK, is a recipient of the IEEE Engineering in Medicine and Biology Early Career Award in 2006, the ICT Knowledge Transfer Prize (2008) and two Teaching Excellence Prizes (2008, 2010) by the Social Council of the Universitat Pompeu Fabra. He also was awarded the UPF Medal (2011) for his service as Dean of the Escuela Politècnica Superior. He was awarded the ICREA-Academia Prize by the Institució Catalana de Recerca i Estudis Avançats (ICREA) in 2008. Professor Frangi is an IEEE Fellow (2014), EAMBES Fellow (2015), SPIE Member, SIAM Member, MICCAI Member, and elected member to the Board of Directors of the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society (2014-2018). Professor Frangi serves in the Scientific Advisory Board of the European Institute for Biomedical Imaging Research (EIBIR) and was Chair of the Fellows Committee of the IEEE EMBS (2017-2018).

Responsibilities & affiliations

Director of CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine

Member of LICAMM Leeds Institute for Cardiovascular and Metabolic Medicine

Member of iMBE Institute of Medical & Biological Engineering

Member of LIFD Leeds Institute for Fluid Dynamics

Research interests

Professor Frangi’s main research interests lie at the crossroad of medical image analysis and modeling with emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). He has particular interest in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated to the areas of cardiovascular, musculoskeletal and neuro sciences.

He been principal investigator or scientific coordinator of over 25 national and European projects, both funded by public and private bodies. During 1/2006-3/2010 he was coordinator of the @neurIST: Intergrated Biomedical Informatics for the Management of Cerebral Aneurysms, a 12.6M€ European Integrated Project, during 1/2006-12/2009 he was scientific co-PI for the Spanish CENIT Technology Platform CDTEAM funded with 15.7M€ by the Spanish Ministry of Science and Innovation through CDTI, in 2009-2012 he participated of the euHeart Integrated Project, in 2009-2012 in the Virtual Physiological Human Network of Excellence, and in 2009-2012 he was Scientific Coordinator of the CENIT Technology Platform cvREMOD funded with 13.6M€ by the Spanish Ministry of Science and Innovation through CDTI. He coordinates the € 13.3m-Integrated Project funded by the European Commission entitled VPH-DARE@IT DementiA Research Enabled by IT, led by CISTIB and involving other 19 European organizations. Finally, he has been recently awarded a £ 1.3m grant as Principal Investigator from the UK Engineering and Physical Sciences Research Council (EPSRC) for the project OCEAN: One-stop-shop Microstructure-sensitive Perfusion/Diffusion MRI: Application to Vascular Cognitive Impairment He is also one of the 5 co-investigators in the recently awarded EPSRC-NIHR HTC Partnership Award ‘Plus’: Medical Image Analysis Network (MedIAN) led by Oxford.

Under his leadership, CISTIB develops GIMIAS (Graphical Interface for Medical Image Analysis and Simulation, an open-source platform for rapidly developing pre-commercial software prototypes in the areas of image computing and image-based computational physiology modelling, and MULTI-X (Health Data Analytics and Modelling As a Service Platform), a cloud-based platform for computational phenomics, in silico medicine, and in silico clinical trials. The research and development conducted in his research group led to two spin-off companies Clintelis SA in 2009 and GalgoMedical SA (www.galgomedical.com) in 2013.

Qualifications

BSc/MSc Telecommunications Engineering, Universitat Politecnica de Catalunya, 1996, Barcelona, Spain

PhD Imaging Sciences, Utrecht University, 2001, Utrecht, The Netherlands

Professional memberships

IEEE

SPIE

MICCAI

EAMBES

Wiro Niessen is full professor in Biomedical Image Analysis and Machine Learning at Erasmus MC, Rotterdam where he leads the Biomedical Imaging Group Rotterdam (www.bigr.nl) and at Delft University of Technology.  His interest is in the development, validation and implementation of quantitative image analysis methods in clinical practice and biomedical research, in linking imaging and genetics data, radio(geno)mics, and image guided interventions. Focus areas are improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology, using machine learning. He has a H-index of 84 (Google Scholar), and has supervised 50 PhD students in these fields.

He is fellow and was president (2016-2019) of the Medical Image Computing and Computer Assisted Interventions Society (MICCAI), member of the International Society of Strategic Studies in Radiology (IS3R), board member of the Technological Branch of the Netherlands Organization of Scientific Research (NWO-TTW) and Chief Digital Officer of Health RI, a national research infrastructure for prevention, personalized treatment, and health. In 2015 he received the Simon Stevin Master award, the largest prize in the Netherlands in the field of Applied Sciences. In 2017 he was elected to the Royal Netherlands Academy of Arts and Sciences.

In 2012 he founded Quantib, an AI company in medical imaging, and he currently is scientific lead of Quantib.

Distinguished Professor of Mathematics
Centrale Supélec
Founder, CEO and CTO of TheraPanacea

Nikos Paragios (D.Sc. (05), PhD (00), M.Sc. (96), B.Sc. (94)) is professor of Applied Mathematics and Computer Science, director of the Center for Visual Computing of Ecole Centrale de Paris & Ecole des Ponts – ParisTech, and scientific leader of GALEN group of Ecole Centrale de Paris/INRIA Saclay, Ile-de-France.

Professor Paragios is the founder, CEO and CTO of TheraPannacea, a company that uses artificial intelligence to improve traditional radiation therapy.

Prior to that he was professor of applied mathematics at Ecole Centrale de Paris (2005-2011), professor/research scientist (2004-2005) at the Ecole Nationale de Ponts et Chaussees, affiliated with Siemens Corporate Research (Princeton, NJ, 1999-2004) as a project manager, senior research scientist and research scientist. Professor Paragios was an adjunct professor at Rutgers University (2002 ) and at New York University (2004) and visiting professor at Yale (2007) and at University of Houston (2009).

Professor Paragios is an IEEE Fellow, has co-edited three books, published more than two hundred papers in the most prestigious journals and conferences of medical imaging and computer vision (DBLP server), and holds twenty one US patents. Professor Paragios is the Editor in Chief of the Computer Vision and Image Understanding Journal and has served/serves as an associate/area editor/member of the editorial board for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), the Computer Vision and Image Understanding Journal (CVIU), the International Journal of Computer Vision (IJCV), the Medical Image Analysis Journal (MedIA), the Journal of Mathematical Imaging and Vision (JMIV), the Imaging and Vision Computing Journal (IVC), the Machine Vision and Applications (MVA) Journal and the SIAM Journal in Imaging Sciences (SIIMS) while he was one of the program chairs of the 11th European Conference in Computer Vision (ECCV’10, Heraklion, Crete) and serves regularly at the conference boards of the most prestigious events of his fields (ICCV, CVPR, ECCV, MICCAI).

Professor Emeritus of Biomedical Image Analysis
Department of Biomedical Engineering
Eindhoven University of Technology

Bart M. ter Haar Romeny is professor emeritus of Biomedical Image Analysis at the Department of Biomedical Engineering of Eindhoven University of Technology. His interests are medical image analysis, its foundations and clinical applications. In his research, in order to understand image structure and analysis, he takes a closer look at the human visual system. His interests are in particular the mathematical modelling of human visual perception to build optimal computer-aided diagnosis systems, multi-scale and multi-orientation differential geometry, medical visualization applications, and brain connectivity. He authored about 350 papers, conference contributions and book chapters on these issues, and holds 2 patents. His interactive tutorial book on perceptually inspired multi-scale image analysis and his edited book on non-linear diffusion theory in computer vision are widely used. He is project leader of the Sino-Dutch RetinaCheck project: AI supported screening for early signs of eye damage due to diabetes.

Bart M. ter Haar Romeny studied Applied Physics at Delft University of Technology where he received his MSc in 1978. He subsequently performed his military service as a Royal Dutch Navy officer and obtained his PhD from Utrecht University in 1983. He then became the principal physicist of the Utrecht University Hospital Radiology Department and (1986-1989) clinical project leader of the Dutch project in Picture Archiving and Communication Systems. From 1989-2001, he was Associate Professor at the Image Sciences Institute (ISI) of Utrecht University. In 2001 he was appointed full processor of Biomedical Image Analysis at the Department of Biomedical Engineering of Eindhoven University of Technology, where he retired in 2017. In 2010, Bart ter Haar Romeny was appointed as Distinguished NEU 100-Program Professor in Biomedical Image Analysis at Northeastern University (Shenyang, PR China). Since 2014, he is a Visiting Professor at the Chinese Academy of Science in Beijing (PR China) and since 2017, he is a Honorary Chair Professor in Medical Image Analysis at the National Taiwan University of Science & Technology in Taipei (Taiwan).

Assistant Professor, Radiology, Harvard Medical School
Assistant in Biomedical Engineering, Radiology
Martinos Center, Massachusetts General Hospital
Building 149, Room 2301, 13th Street, Charlestown, MA 02129 USA
Email: carp@nmr.mgh.harvard.edu , tel. +1-617-643-2230

Education:

• D. Chemical Engineering, U.C. Irvine, 2005
• S. Chemical Engineering, MIT, 2000
• S. Chemistry, MIT, 2000

My research focuses on the development of novel optical instrumentation for non-invasive tissue monitoring and the translation of these techniques for clinical use. In particular I am interested in the application of near-infrared diffuse optical tomography techniques for breast cancer diagnosis and chemotherapy guidance. We have recently shown that dynamic changes in tissue blood volume during fractional mammographic-like compression can be used to assess the early response of malignant lesions to neoadjuvant chemotherapy. I am currently preparing to conduct a follow-up study, that uses a multi-modal optical imaging system combined with digital breast tomosynthesis to characterize the outcome early prediction performance of dynamic optical biomarkers assessed during a multi-stage breast compression maneuver for HER2+ and TNBC patients undergoing NACT.

Assistant Professor in Radiology
Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School

Research: https://qtim-lab.github.io/

Distinguished Professor Emeritus
Electrical and Computer Engineering
Rutgers University

Peter Meer received the Dipl. Engn. degree from the Bucharest Polytechnic Institute, Romania in 1971, and the D.Sc. degree from the Technion, Israel Institute of Technology, Haifa, in 1986, both in electrical engineering. From 1971 to 1979 he was with the Computer Research Institute, Cluj, Romania, working on R&D of digital hardware. Between 1986 and 1990 he was Assistant Research Scientist at the Center for Automation Research, University of Maryland at College Park. In 1991 he joined the Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ and retired in 2018 as Distinguished Professor. He has held visiting appointments in Japan, Korea, Sweden, Israel and France, and was on the organizing committees of numerous international workshops and conferences. He was an Associate Editor of the IEEE Transaction on Pattern Analysis and Machine Intelligence between 1998 and 2002, was a Guest Editor of Computer Vision and Image Understanding for a special issue on robustness in computer vision in 2000, and was a member of the Editorial Board of Pattern Recognition between 1989 and 2005. He is coauthor of an award winning paper in Pattern Recognition in 1989, the best student paper in 1999, the best paper in 2000 and the runner-up paper in 2007 in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). With coautors Dorin Comaniciu and Visvanathan Ramesh he received at the 2010 CVPR the Longuet-Higgins prize for fundamental contributions in computer vision in the past ten years. His research interest is in application of modern statistical methods to image understanding problems. He is an IEEE Life Fellow.

Professor of Professor of Electrical and Biomedical Engineering
Department of Electrical Engineering and Computer Science
MIT – Massachusetts Institute of Technology
USA

George C. Verghese received his BTech from the Indian Institute of Technology, Madras in 1974, his MS from the State University of New York, Stony Brook in 1975, and his PhD from Stanford University in 1979, all in Electrical Engineering. Since 1979, he has been with MIT, where he is the Henry Ellis Warren (1894) Professor, and Professor of Electrical and Biomedical Engineering, in the Department of Electrical Engineering and Computer Science. He was named a MacVicar Faculty Fellow at MIT for the period 2011-2012, for outstanding contributions to undergraduate education.

Verghese is also a principal investigator with MIT’s Research Laboratory of Electronics (RLE). His research interests and publications are in the areas of dynamic systems, modeling, estimation, signal processing, and control. Over the past decade, his research focus has shifted from applications in power systems and power electronics entirely to applications in biomedicine. He directs the Computational Physiology and Clinical Inference Group in RLE.

Haber’s Law “If it can be done in Software AI will do it better”.

George is a dynamic example of that special breed of Silicon Valley entrepreneurs who are powering the technology revolution.

Visionary and successful Serial Entrepreneur, Marketing Guru and Strategist, with proven track record from vision to implement and manage High Tech Companies from StartUp to M&A or IPO.
Active Angel Investor in serious, innovative, disruptive technologies working with entrepreneurs to improve the world.

Frequently quoted, speaker at national and international conferences, and one of the key people of the story of the Xbox. You can read it in the book “Opening the Xbox: Inside Microsoft’s Plan to Unleash an Entertainment Revolution” By Dean Takahasi. ISBN-10: 0761537082

Specialties: Starting StartUps and helping Private / Public Companies with Strategy and Tactics to gain and sustain long term growth and financial success.

Expert in Marketing, Competitive Analysis, financing, mergers and acquisition.

Chief Physician associate professor dr. Mehmet Erturk was born in 1975 in Trabzon, Turkey. He completed his primary and secondary education in Trabzon. He started his university life at 19 May Medical Faculty in 1995 and graduated from Istanbul University Istanbul Medical Faculty in 2001. He completed his Cardiology Specialist training at SBU Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital between 2001-2006. He worked as a cardiologist at Istanbul Yavuz Sultan Selim State Hospital between 2006-2009. In March 2009, he started to work as a specialist in the Cardiology Department. In 2010, he became the chief assistant at the Cardiology Clinic.
In 2014, he spent 3 months at Emony University (Atlanta, USA) as an Observer. In the same year, he became an associate professor. In 2016, for a period of 2 months, he worked at Sadi Konuk Training and Research Hospital and Şişli Etfal Training and Research Hospital, Cardiology Clinic.

At the end of 2016, he was appointed to SBU Mehmet Akif Ersoy Chest Cardiovascular Surgery Training and Research Hospital as proxy. In February 2017, he was appointed to SBU Mehmet Akif Ersoy Chest Cardiovascular Surgery Training and Research Hospital as a manager.

Since December 2017, our hospital has been working as Chief Physician.

He is married and has three children.

Ramona Jurubiță, Country Managing Partner at KPMG in Romania, coordinates the governance and strategy of the company, representing the firm both on the local and international market.

Ramona contributes not only to strengthening the position of KPMG in Romania, but also to shaping a strong and sustainable socio-economic environment. She is President of the Board of Directors of the Foreign Investors Council (FIC) and represents the FIC within the Coalition for the Development of Romania, which brings together various business organizations and promotes policies supporting sustainable growth.

Drawing on her multi-dimensional experience from the more than 20 years she has worked in taxation, Ramona participates as an active member in some of the most prestigious Romanian and international professional associations (CCF, CECCAR, ANEVAR, ACCA). She has bachelor’s degrees in both Finance and Law.

Ramona has a strong personal brand and has been recognized as one of the most influential business women in Romania by major business publications, including Forbes, Business Magazin, etc.

1965 – 1970       Fizica Atomică și Nucleară la Facultatea de Fizică a Universității din Cluj – Napoca

1974 – 1980      Medicina Generală în cadrul Institutului Medico-Farmaceutic din Cluj – Napoca

1978                 Doctor în fizică la Universitatea Babeș-Bolyai

1980                 Doctor medic la Institutul de Medicină și             Farmacie Cluj (Medicina generala)

1980 – 1981      Medic secundar radiologie-radioterapie la Institutul Oncologic Bucuresti

1981 – 1982      Fara loc de munca

1982 – 1985      Medic medicina generala la Dispensarul Ditesti (jud Prahova)

1986                 Rezident în secția de radioterapie a Spitalului Marienhospital – Herne (Universitatea Bochum).

1988 – 1995       Clinica si Policlinica de Radioterapie a Universității Wuerzburg

1991                 Medic specialist în radioterapie si radiooncologie

1996 – 2010       Medic șef și director al Institutului de Radioterapie Oncologică de la Spitalul St. Vincenz din Limburg

1995                 Doctor habilitat în medicină la Universitatea Wuerzburg

2002                 profesor la Universitatea Wuerzburg

2010                 Revenirea in Romania

2011                 Initierea Centrului de Radioterapie AMETHYST, Otopeni

2012                 Initierea masteratului in Biotehnologie, Universitatea de Medicina si Farmacie Carol Davila, Bucuresti

 Ion – Christian Chiricuta si Adrian Buga: Colecția de pictură Ion Chiricuță, Editura Argo Art Publishing si Unarte, București,2014

Prof. Dr. Ion-Christian Chiricuță este autorul a 6 cărți despre oncologie și radioterapie apărute în perioada 2001-2005, de asemenea co-autor și autorul a peste 40 de articole apărute în reviste și publicații de specialitate.

Colaborare cu Universitatea de Medicină și Farmacie Carol Davila, unde predă în cadrul Masteratului de Biofizică Medicală și Biotehnologie Celulară disciplina “Imagistică Medicală, Radiații Ionizante în Diagnostic și Tratament. Noțiuni de Radiobiologie clinică” ce presupune formarea și instruirea masteranzilor privind aparatura modernă de radioterapie și efectuarea practică a planurilor de iradiere externă.

Michal Guindy, M.D. MPA received her medical degree from Ben-Gurion University. She specialized in radiology in South Australia and Israel, with specialization in breast imaging. In 2001 she earned a MPA from Harvard University. In Maccabi Healthcare Services (HMO) Michal held several management positions. She chaired the risk management and patient safety department, was in charge of radiology telemedicine, Maccabi central laboratory including pathology, as well as in charge of the pharmacy services and call center. Michal served as Medical Director of the Central district of Maccabi in Israel (Responsible for medical services provided to 250,000 people).In the last five years Michal has been Director of Imaging Services of Assuta Medical Centers, 7 imaging centers across Israel producing over 600,000 studies annually. In addition she is now involved in managing Assuta’s new pathological laboratory pursuing digital pathology. Michal is involved in many research projects promoting AI application for clinical use.   Her academic activities include initiation and implementation of patient safety program (WHO initiative) at Sackler Medical School and student advisor for research projects.

Laurent David Cohen was born in 1962. He was student at the Ecole Normale Superieure , rue d’Ulm in Paris, France from 1981 to 1985. He received the Master’s and Ph.D. degrees in Applied Mathematics from University of Paris 6, France, in 1983 and 1986, respectively. He got the Habilitation à diriger des Recherches from University Paris 9 Dauphine in 1995.
From 1985 to 1987, he was member at the Computer Graphics and Image Processing group at Schlumberger Palo Alto Research, Palo Alto, California and Schlumberger Montrouge Research, Montrouge, France and remained consultant with Schlumberger afterwards. He began working with INRIA, France in 1988, mainly with the medical image understanding group EPIDAURE.
He obtained in 1990 a position of Research Scholar (Charge then Directeur de Recherche 1^st class) with the French National Center for Scientific Research (CNRS) in the Applied Mathematics and Image Processing group at CEREMADE, Universite Paris Dauphine, Paris, France. His research interests and teaching at university are applications of Partial Differential Equations and variational methods to Image Processing and Computer Vision, like deformable models, minimal paths, geodesic curves, surface reconstruction, Image segmentation, registration and restoration.
For many years, he has been editorial member of the Journal of Mathematical Imaging and Vision, Medical Image Analysis and Machine Vision and Applications.

He was also member of the program committee for about 50 international conferences. He authored about 300 publications in international Journals and conferences or book chapters, and 6 patents.
In 2002, he got the CS 2002 prize for Signal and Image Processing. In 2006, he got the Taylor & Francis Prize:

2006 prize for Outstanding innovation in computer methods in biomechanics & biomedical engineering.

He was 2009 laureate of Grand Prix EADS de l’Academie des Sciences
He was promoted IEEE Fellow 2010 for contributions to computer vision technology for medical imaging. 

Albert is a software engineer focused on high-performance computing applied to the field of biomedical sciences. He is driven by neuroscience insights and has widened his education with seminars and a MSc (University of Edinburgh) on machine learning applied to neurophysiology (published in Cell Reports) as well as genomics.

While working at Rob Surgical Systems, he developed software and firmware for a prototype of a laparoscopic surgical robotic system.

During these last years at QMENTA, he has been developing software across different components (backend, medical imaging tools, SDK) as well as improving the development cycle and integration of software developed by fellow neuroimaging experts.