Steffen Bollmann is a fellow of the National Imaging Facility (NIF) in Australia and a postdoctoral research fellow at the University of Queensland. Before joining the group of Prof. M. Barth at the Centre for Advanced Imaging in 2014, he received a degree in biomedical engineering at the Ilmenau University of Technology and completed a PhD program on multimodal imaging at the University Children’s Hospital and ETH Zurich. Currently, Dr. Bollmann develops quantitative imaging techniques, such as Quantitative Susceptibility Mapping. Exploiting the high signal levels of magnetic resonance imaging at 7 Tesla and combining this with image processing driven by artificial intelligence, he investigates and quantifies disease processes at an unprecedented level of detail.
Katja Bühler is an Area Coordinator for Complex Systems and Head of the Biomedical Image Informatics Group at the Vienna based Virtual Reality and Visualisation Research Centre VRVis. Before joining VRVis in 2002, she worked as assistant professor at the Institute for Computer Graphics and Algorithms at Vienna University of Technology, where she still acts as external lecturer. She holds a degree in Mathematics from the University of Karlsruhe and a PhD in Technical Sciences (Computer Science) from Vienna University of Technology. Katja Bühler has many years of experience in leading international applied research projects in close cooperation with industry and academia and deepened her knowledge in Strategic R&D Management at INSEAD. In 2012 Katja Bühler and Rainer Wegenkittl received the Austrian science2business award for the management of a successful long term research project with AGFA Healthcare. She serves as chair, IPC member and reviewer for various international conferences and journals and is active member of international societies. She is part of the steering committee „GI Fachgruppe Visual Computing in der Medizin“ and EG VCBM. She has been member of the Scientific Advisory Board of the French research infrastructure Tefor.net and CURAC and acts as expert reviewer for several international funding agencies, the European Union and for PhD theses at international level. Bühler’s scientific roots are in reliable computing and numerics, geometry processing and visualization. Her team is dedicated to develop efficient methods to provide access to information encoded in biomedical images. Her group ameliorates expertise in image processing, machine learning, high performance computing, data mining, visualization and human computer interaction to novel visual computing solutions for medicine and life science. Research results of the group have been awarded by numerous scientific awards and resulted in several patents. Katja Bühler is a much sought-after expert in the field of artificial intelligence and regularly participates in panel discussions and events on this subject.
Jeremy De Sy
Jeremy De Sy is the European Sales Manager for Aidoc, a full body imaging AI software. He is seasoned in B2B solution sales in various technology-driven sectors (healthcare supply chain, healthcare IT & networked mobility solutions). He combines a strong strong business acumen with a passion for technological innovation, and helps customers to find novel ways of solving current needs and anticipate future trends. He has vast experience and expertise in medical imaging workflows from his previous role as a Sales Manager at Carestream and Swisslog. Jeremy De Sy holds a Master in Business Engineering from Vrije Universiteit Brussel.
Martin Drozdik is an AI developer at Four Panels, an Austrian medical startup. After graduating in applied mathematics, he was awarded the Monbukagakusho scholarship to do research in evolutionary computation at the Shinshu University in Nagano, Japan. There he received his doctorate in engineering. He worked one year as an exchange researcher in the field of multiobjective optimization at the INRIA institute in Lille, France. Dr. Drozdik’s research is to apply ideas from the evolution of living organisms to solve intractable mathematical problems. He published in the IEEE Transactions on Evolutionary Computation and presented on several computer science conferences. At Four Panels, Martin Drozdik is developing an artificial intelligence system to combine medical opinions of several experts into a correct diagnosis. His primary tools are Bayes networks and metaheuristics.
Jos Dumortier is an Honorary Professor of ICT Law at the Faculty of Law of the University of Leuven (www.kuleuven.be). He has been the founder and first Director of the Interdisciplinary Research Centre for ICT and Law (ICRI). Prof. Dumortier is currently a member of the Bar of Brussels and partner in “time.lex”, a law firm specialized in information technology law (www.timelex.eu). Since the start of the law firm in 2007 the team has carried out over 60 policy support studies for the European Commission on various issues related to personal data protection and other legal issues concerning the information society and is currently involved in 15 Horizon 2020 Actions e.g. in the field of identity management, big data analytics, 5G mobile communications and eHealth. Prof. Dumortier participates in the boards of several national and international scientific and business associations and is a member of various editorial and program committees. He is the chief editor of the International Encyclopedia of Cyber Law and the author of more than one hundred books and articles on legal issues related to the information society. Jos Dumortier is the chairman of the legal task force of the Belgian eHealth action plan. He recently assisted the Health Insurance Organisation of Cyprus in the establishment of a National Health System.
Gordon Euller is a Partner for digital health at APEX Ventures, an European venture capital fund. Before joining APEX in 2019, he worked as a board-certified Radiologist at Medical University Vienna where he also completed his Radiology residency program and graduated from medical school. Before starting his medical career, he founded two companies in Eastern Europe, one of them in the field of home care for elderly patients. As a management consultant with McKinsey&Company in London, Dr. Euller developed and implemented various strategic transformations for his healthcare clients (payors/providers, pharma, med-tech). Gordon Euller was also a project manager for the set-up of a private hospital in Abu Dhabi.
Albert Frömel is a technology strategist for health and life sciences at Microsoft. His area of expertise is the digital transformation of the healthcare industry with a focus on data and artificial intelligence. One of his primary responsibilities is to support the healthcare provider community, sharing latest technological trends, and realising innovative and disruptive solutions, thus helping organisations and their patients. Successful engagements include among others AI assisted analysis of combined hybrid imaging and non-imaging data by the department for Nuclear Medicine in Vienna. Frömel holds a master’s degree in economics as well as a degree in engineering and assisted lectures at the medical university of Vienna on the subject data and AI in healthcare.
Tobias Heimann is heading the German team of Siemens Healthineers global Digital Technology & Innovation department. Focus of the team is research of new algorithms and applications in the field of image analytics and AI. With 15 years of experience in the field in academia and industry, he has worked on a large range of topics spanning statistical methods, machine learning, and computational modelling. Heimann has authored and co-authored more than 80 scientific publications. He also serves as reviewer and/or PC member for some of the leading conferences in the field of medical image analysis. Before joining Siemens, Tobias Heimann received his PhD at the German Cancer Research Center in Heidelberg and worked as postdoctoral researcher at INRIA Sophia-Antipolis in France.
Hans Hofstraat is Vice President and Innovation Program Manager at Philips Research, a position he has held since 2009. As Innovation Program Manager, Hans works with teams within Philips Research, and with colleagues in Business and Markets, on innovations in the area of Oncology, Neurology, Infectious Diseases, and Universal Access to Care, combining deep clinical insights with the opportunities offered by digital healthcare solutions. Together with partners within and beyond Philips, Hans is passionate about identifying major needs in the health-technology domain, and to address these by developing meaningful solutions underpinned by proven outcomes. His aim is always to achieve innovations that broaden access to appropriate care and improve quality of life for patients and healthcare professionals. Hofstraat holds several positions in (inter)national advisory bodies. Amongst others, he is a member of the Dutch Sounding Board for Horizon 2020, contributing to work on Health, Demographic Change and Well-being. He is a member of the Steering Committee and co-initiator of the big data initiative of Top Sector Life Sciences & Health. He is also a member of the Management Team of the Institute for Diagnostic and Interventional Imaging (IDII), in which Philips participates together with UMC Utrecht, University Utrecht, and TU Eindhoven. He is a member of the Supervisory Board of the European Institute of Innovation & Technology (EIT) Health, and a member of the European Scientific Panel for Health. Hofstraat joined Philips Research from Akzo Nobel Central Research in 1998. He has also worked as a (part-time) Professor at the Institute of Molecular Chemistry of the University of Amsterdam, and at the Public Works Department of the Dutch Ministry of Transport and Public Works in The Hague. He graduated with a PhD in physical chemistry from the Free University Amsterdam (thesis awarded with the Royal Dutch Shell prize), and was a post-doc at the Eidgenössische Technische Hochschule, Zürich, Switzerland. He worked as a lecturer at the Free University, the Free University Medical Center, and the University College of Swaziland in Kwaluseni, while completing his studies. Hans Hofstraat has authored about 200 publications with an h-index of 42 (Google Scholar) and holds 10 granted US patents.
Steve Holloway is a director and principal analyst at Signify Research, a U.K.-based healthcare market intelligence company. He has 10 years of experience in healthcare technology market intelligence, having served as Senior Analyst at InMedica (part of IMS Research) and Associate Director for IHS Inc.’s Healthcare Technology practice. His areas of expertise include Healthcare IT and Medical Imaging. Steve Holloway’s reports are cited on platforms like Radiology Business, Imaging Technology News, Health Data Management, and AuntMinnie.
Andreas Holzinger is lead of the Holzinger Group, HCI-KDD, Institute for Medical Informatics/Statistics at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. He obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation (second Ph.D.) in Computer Science from Graz University of Technology in 2003. Holzinger was Visiting Professor for Machine Learning & Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. Since 2016, he is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He founded the Expert Network HCI-KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence: Human-Computer Interaction (HCI) & Knowledge His aim is to explain why a machine decision has been made, paving the way towards explainable AI and Causability. Prof. Holzinger is Associate Editor of Springer/Nature Knowledge and Information Systems (KAIS), Section Editor for Machine Learning of Springer/Nature BMC Medical Informatics and Decision Making (MIDM), and founding Editor-in-Chief of the cross-disciplinary journal Machine Learning & Knowledge Extraction (MAKE). He is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and Austrian representative in the IFIP TC 12 Artificial Intelligence and member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). Since 2003, Andreas Holzinger has participated in leading positions in 30+ R&D multi-national projects, budget 6+ MEUR, 300+ publications, 10k+ citations, h-Index = 46.
Marcello Ienca is a Research Fellow at the Department of Health Sciences and Technology at ETH Zurich, Switzerland. He is the principal investigator of the SAMW/KZS-funded project "Digitalizing Elderly Care in Switzerland". His research focuses on the ethical, legal, and social implications of neurotechnology and artificial intelligence, big data trends in neuroscience and biomedicine, digital health and cognitive assistance for people with intellectual disabilities etc. Prior to joining ETH, Ienca has obtained MSc, MA and PhD degrees from the Humboldt University of Berlin, KU Leuven (Erasmus Mundus Consortium) and the University of Basel. Dr. Ienca has received several awards for social responsibility in science and technology such as the Prize Pato de Carvalho, the Vontobel Award for Ageing Research, and the Paul Schotsmans Prize from the European Association of Centres of Medical Ethics (EACME). He has authored +30 scientific articles in peer-review journals, several book chapters and is a frequent contributor to Scientific American. His research was featured in academic journals such as Neuron, Nature Biotechnology, the American Journal of Bioethics and popular media such as The Guardian, The Times, Die Welt, The Independent, El Clarin, and others. Marcello Ienca is the current coordinator of the Swiss Network of Neuroscience, Ethics and Law (SNNEL), the Chair of the Student-Postdoc Committee of the International Neuroethics Society (INS), and a member of the Steering Group on Neurotechnology and Society of the Organisation for Economic Co-operation and Development (OECD).
Michaela Jungwirth is part of the Applied Intelligence team at Accenture. Her focus is on Big Data Technologies and Artificial Intelligence. Based in Vienna, she is responsible for managing and implementing AI and Machine Learning algorithms. Micahela Jungwirth holds a master‘s degree in Business Informatics from Vienna University of Technology.
Georg Langs is assistant professor and head of the Computational Imaging Research Lab at the Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria. He is research affiliate at the Computer Science and Artificial Intelligence Lab at Massachusetts Institute of Technology, where he was research scientist from 2009 to 2011. Before joining the Medical Vision Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, he studied mathematics at Vienna University of Technology and computer science at Graz University of Technology and worked at the Department for Applied Mathematics at Ecole Centrale de Paris. Prof. Langs is currently focussing on the development of machine learning methods in the context of biomedical imaging data and large-scale data analysis. He is a reviewer for several conferences and journals, among them IEEE Transactions on Pattern Recogniton and Machine Intelligence and IEEE Transactions on Medical Imaging. In 2018, Georg Langs gave a keynote lecture on pattern recognition in neuroimaging at the PRNI workshop in Singapore and a talk on artificial intelligence in imaging research at the European Congress of Radiology.
Jan C. Peeken, is a resident at the Department of Radiation Oncology at the Klinikum Rechts der Isar, Munich University of Technology (TUM). He received his M.D. at Albert-Ludwig-University Freiburg, Germany. For his doctoral thesis, he worked on the pathogenesis of hematologic cancer. His current scientific interest is in the application of machine learning and radiomics in radiooncology with a special focus on soft tissue sarcomas, glioblastoma, and prostate cancer. Jan Peeken has published in journals like Blood, Cancer Medicine, and Radiation Oncology.
Helmut Prosch is an associate professor of radiology and section chief of thoracic imaging at the Department of Biomedical Imaging and Image-guided Therapy of the Medical University of Vienna, Austria. He obtained his medical degree in 2000 from the University of Vienna. He trained in radiology at the Otto Wagner Hospital in Vienna. Before, he worked as research fellow at the Children’s Cancer Research Institute at St. Anna Children’s Hospital in Vienna. Since 2013, Prof. Prosch has been a member of the Education and Professional Standards Committee of the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB). He is a constant reviewer for journals like European Radiology and American Journal of Roentgenology. His research focuses on diagnosis and staging of lung cancer and deep learning for the diagnosis of diffuse parenchymal lung diseases. Helmut Prosch has published more than 100 articles, reviews or book chapters.
Nikola Rieke is a senior solution architect at NVIDIA for deep learning in healthcare. With a broad expertise in the field of medical image processing, applied machine learning and computer-aided medical procedures, one of her primary responsibilities is to actively support the medical imaging community in advancing deep learning solutions. She holds a PhD (Dr. rer. nat.) from the Technical University of Munich, published various peer reviewed papers, in particular on real-time machine learning approaches for computer assistance in surgical interventions, and was honored with the prestigious MICCAI Young Scientist Award.
Francesco Sardanelli is a full professor and director of the department of radiology at the research hospital (IRCCS) Policlinico San Donato in Milan, Italy. Before, he graduated in medicine and specialized in radiodiagnostics at Genoa University (both magna cum laude). He is currently the editor-in-chief of European Radiology Experimental and member of the editorial board of European Radiology, American Journal of Roentgenology, Breast and other journals. Prof. Sardanelli is co-founder of the European Cancer Care Certification, vice president of the Quality Assurance Scheme Development Group in the European Commission Initiative on Breast Cancer, and director of the European Network for Assessment of Imaging in Medicine (EuroAIM) at the European Institute for Biomedical Imaging Research. He is a former president of the European Society of Breast Imaging. Francesco Sardanelli co-authored more than 1.000 abstracts and published 6 books, 52 chapters as well as 324 articles.
Klaus Schöffmann is an associate professor at the Institute of Information Technology (ITEC) at Klagenfurt University in Austria. He received his PhD in 2009 and his habilitation (venia docendi) in Computer Science in 2015 from Klagenfurt University. His research focuses on medical multimedia systems, video understanding, and interactive multimedia. He co-authored more than 110 publications on various topics in multimedia, including more than 30 on different aspects of medical multimedia systems. Prof. Schöffmann co-organized several international conferences, workshops, and special sessions in the field of multimedia. Furthermore, he is co-founder of the Video Browser Showdown (VBS) – an international live evaluation competition of interactive video search. Klaus Schöffmann is a member of the IEEE and the ACM, and a regular reviewer for international conferences and journals in the field of multimedia.
Moritz Schwyzer is a radiology resident at the Institute of Diagnostic and Interventional Radiology at the University Hospital in Zurich. He completed his medical school at the University of Zurich and is currently pursuing a Master of Computer and Information Technology at the University of Pennsylvania. Next to his clinical work, he conducts research mainly in the field of artificial intelligence in medical imaging with a special focus on lung cancer imaging. His publications include articles in journals such as Lung Cancer and The New England Journal of Medicine. Additionally, Dr. Schwyzer takes part in machine learning competitions and is among the top 2% competitors on kaggle.com.
Joris Wakkie is the chief medical officer of Aidence B.V., a medical imaging AI company from the Netherlands. He received his MD from the University of Groningen and was a resident in cardiology and internal medicine at St. Antonius Ziekenhuis Nieuwegein. At Aidence, Dr. Wakkie is involved in setting out the company’s strategy and goals, product development, clinical validation and regulation, as well as customer engagement.
Kurt Zatloukal, M.D. is professor of pathology at the Medical University of Graz, Austria and head of the Diagnostic and Research Center for Molecular BioMedicine. His research focusses on molecular pathology of diseases as well as digital pathology, biobanking and related data management technologies. He coordinated the preparatory phase of the European biobanking and biomolecular research infrastructure (BBMRI-ERIC) and is director of the Austrian national node BBMRI.at. He directed the Christian Doppler Laboratory for Biospecimen Research and Biobanking Technologies. Prof. Zatloukal contributes to the development of new European standards and norms for pre-analytical processing of tissue samples for molecular testing and is member of the Austrian Standards Institute and of the scientific board for genetic testing and human gene therapy at the Austrian Ministry of Health. He was member of the OECD task force on biological resource centres and the Roadmap Working Group of the European Strategy Forum on Research Infrastructures. Kurt Zatloukal is Member of the Academia Europaea, corresponding member of the Austrian Academy of Sciences, and has published over 215 scientific papers and was co-inventor of 25 patent applications.