ECR 2019 sets the trend in Artificial Intelligence

QUIBIM TEAM ECR 2019

The city of Vienna was at the real core of Medical Imaging and AI at the 25th European Congress of Radiology (ECR). At QUIBIM we always enjoy being at this annual meeting because it is the perfect combination of a science and industry exhibition. In this edition, the congress reached the milestone of 30,000 attendees, and the numbers are expected to go up with each year.

QUIBIM was glad to be participating in both, the scientific and industry sessions. Our oral presentations were mainly addressing current challenges of artificial intelligence (AI) and convolutional neural networks (CNN) in clinical needs like metabolic disorder, prostate cancer and osteoarthritis. Ana Jiménez-Pastor, Rafael López-González and Fabio García-Castro, R&D Engineers at QUIBIM presented our new research in image processing pipelines aiming to perform a virtual dissection of the organs through an automated segmentation combined with features extraction.

Personally,  I was happy to give 3 lectures focused on the future of radiology: 3D Post-processing in 2019, Deep Learning in Medical Imaging and Start-up in Radiology. In the 3D Post-processing lecture I introduced, what I think is the main revolution of AI in our field the concept of Virtual In-Vivo Dissection (VIVID), a name coined by my team and I at QUIBIM, which is a strategy of isolating human body organs in medical images for  characterization through features such as imaging biomarkers. This has several applications, challenges and is difficult to solve by traditional computer vision algorithms like liver or cartilage segmentation in Magnetic Resonance Imaging but it has become a reality thanks to the use of CNN architectures such as U-Net combined with deep supervision. In the Deep Learning in Medical Imaging session, I  focused on using other presentation formats and I was glad to give a TED talk and share the podium with Dr. Wiro Niessen, who spoke about Machine Learning in a Pecha Kucha format. This session was organized by the European School of Radiology (ESOR) and was chaired by Prof. Dr. Valérie Vilgrain, and I must say the atmosphere was excellent and the room was really packed! Finally, in a session chaired by Prof. Dr. Elmar Kotter,  we shared our insights on how to create a start-up company in Radiology from scratch, how to get funding from investors and the main considerations when scaling-up.

QUIBIM was also invited by the ECR to give a presentation within the Artificial Intelligence Exhibition (AIX) sessions, a new space for innovative AI companies. During this session, moderated by Dr Hugh Harvey and Dr Wim Van Hecke, we presented the newest version of the QUIBIM Precision V3.0 platform launched at the last RSNA 2018.

AUTHOR

Angel Alberich-Bayarri

Telecommunications & Electronics Engineer by the Polytechnics University of Valencia. Master in Biomedical Engineering and PhD achieved in 2010 by the Polytechnics University of Valencia, due to his research in the application of advanced image processing techniques to high spatial resolution Magnetic Resonance images for the study of bone structure. In the professional aspect, he is scientific-technical director of the Biomedical Imaging Research Group at La Fe Polytechnics and University Hospital and an entrepreneur and co-founder of QUIBIM (Quantitative Imaging Biomarkers in Medicine) company. He previously served as Director of Biomedical Engineering (2012-2014) and R&D engineer (2007-2012) in Quiron Hospital Group. He is the inventor of two patents in the field of medical imaging. He is also the author of over 25 scientific articles, 60 communications to international congresses and 10 book chapters. He has participated in a number of research projects and clinical trials. He is an active member of several scientific societies, among which the European Society of Medical Imaging Informatics (EUSOMII) being a member of the Board. He is also a member of the eHealth and Informatics subcommittee of the European Society of Radiology. In the educational area, he is collaborator of the Polytechnics University of Valencia in the supervision of final projects, theses and PhD’s and of the Faculty of Medicine at the University of Valencia as lecturer at Advanced Medical Imaging. In 2012 he was awarded by the Polytechnic University of Valencia with the Best PhD in the field of ICT’s and by the European Society of Radiology with the Best Scientific Paper Award for its advances in the application of engineering to the study of cardiovascular remodelling. In 2013 he received the Pro-European Academy Prize award, given to leading scientists exemplary groups in science and academic life. In 2014 he was recognized by the European Society of Radiology with the award for the best scientific contribution in the field of oncology. In November 2015 he was awarded by the Massachusetts Institute of Technology (MIT) official publication MIT Technology Review, with the award "MIT Innovators Under 35".

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