Dr. Richard Frayne has over 30 years of experience in pursuing imaging research in a clinical environment. He is a Professor (with tenure) in the Departments of Radiology and Clinical Neuroscience, a member and the Deputy Director of the Hotchkiss Brain Institute (HBI, hbi.ucalgary.ca) at the Cumming School of Medicine at the University of Calgary. He directs the Vascular Imaging Laboratory (www.ucalgary.ca/vil) of the Seaman Family Centre, Foothills Medical Centre, Alberta Health Services (mrcentre.ca). He holds a BASc (Electrical Engineering, 1989) from the University of Waterloo and PhD from the University of Western Ontario (Medical Biophysics, 1994), and completed a post-doctoral fellowship in Medical Phys-ics and Radiology at the University of Wisconsin-Madison (1994-6). His work bridges natural science and engineering through to clinical application. Dr Frayne runs a diverse research group and is active in research training. Over 60 undergraduate students and medical students, 22 MSc, 15 PhD and 18 post-doctoral fellows have trained with him. He has over 200 published, peer-reviewed publications, and given over 125 invited talks and over 550 scholarly presentations. He received the Alumni Achievement Medal from the Fac-ulty of Engineering at the University of Waterloo in 2018 and was elected a Fellow of the Canadian Academy of Health Sciences in 2021.
Dr. Karim Lekadir is the Director of the Artificial Intelligence in Medicine Lab at the University of Barcelona (BCN-AIM). His current research focuses on the development of new medical AI tools from complex biomedical data, such as imaging, biological, clinical and environmental data. He is particularly interested in trustworthy AI and related methods such as domain adaptation, bias correction, uncertainty estimation and AI validation. He is currently the Scientific Coordinator of several European projects in the field of medical AI and the recipient a research grant from the European Research Council (ERC) to develop novel AI methods for accessible medical imaging in low-to-middle income countries.
Dr. Ramon Sanchez-Jacob Ramon Sanchez- Jacob is a pediatric radiologist currently working at Children’s National Medical Hospital in Washington DC. Native from Spain, where he graduated from medical school (Universidad de Valladolid, class of 1993) and radiology residency (Universidad de Alcala de Henares, class of 1998); he became deeply engaged with pediatric radiology after training and working with Dr. Xavier Lucaya (Ramon’s lifetime mentor) at Hospital Vall’d Hebron; Barcelona. His main areas of interest are ultrasound imaging, rational use of medical imaging, radiation protection and pediatric radiology outreach in limited resource areas. Ramon has traveled to Malawi, Peru, Colombia, Guatemala, El Salvador, Guatemala, Panama and Mexico where he has been teaching radiation protection, pediatric radiology imaging with an emphasis in ultrasound scanning. He has collaborated with the RSNA outreach program in three different occasions, the international Atomic Energy Agency (IAEA), international Commission of Radiation Protection (ICRP), Pan America Health Organization (PAHO), Medicins Sans Frontiers (MSF) and the World Federation of Pediatric Imaging (WFPI).
Dr. Claudia Prieto received her PhD from the Pontificia Universidad Católica de Chile (UC) in 2007. From 2008 to 2011 she was a Postdoctoral Fellow at King’s College London (KCL). In 2012, she joined the School of Biomedical Engineering and Imaging Sciences at KCL as Lecturer (Assistant Professor) and was promoted to Senior Lecturer (Associate Professor) in 2015, to Reader in 2018 and to Full Professor in 2020. She recently joined the School of Engineering of UC as Director for Research and Innovation (2020-2022) and Associate Professor. Dr Prieto’s research focuses on the development of novel medical imaging techniques and AI- enabled solutions, including medical imaging physics, reconstruction, motion correction and clinical translation. She has a special interest in quantitative multiparametric Magnetic Resonance Imaging (MRI) for cardiovascular applications. Dr Prieto has published more than 120 journal and review articles, 12 full conference papers, more than 250 peer-reviewed conference abstracts and 7 book chapters in these areas.
Dr. María J. Ledesma Carbayo is a Full Professor in the Electronic Engineering Dept at Universidad Politécnica de Madrid and scientist in the CIBERBBN where she leads several research lines in the Biomedical Imaging Technologies group. She graduated in telecommunication engineering and completed two different Master programs on Biomedical Engineering (Patras University and UNED (Spain). She obtained her First Class Honours PhD degree from Universidad Politécnica de Madrid for her contributions to spatio-temporal methods for myocardial motion estimation. Her main research motivation relates to improving health care delivery through advances in biomedical imaging technologies. Her main areas of expertise deal with biomedical image analysis and processing, especially in cardiac and pulmonary imaging, cancer image based biomarkers, image guided therapy, microscopy image analysis, image registration, and motion estimation and compensation. She has also an important international network of collaborators obtained through her visiting experiences at Oxford Univ. (1999), École Polytechnique Fédéral de Lausanne (2000, 2001), National Institutes of Health (Bethesda, MA, USA, 2006) and Johns Hopkins Univ. (2014, 2015), including Massachusetts Institute of Technology and Brigham Women’s Hospital through her involvement as faculty in the M+Vision program and MIT LinQ. Her research in biomedical imaging processing has been published in journals and conferences (more than 140). She has a lot of experience participating and leading national and international research projects, from the Spanish Financial Offices, International Agencies as well as International Companies. She is member of the Spanish Society of Biomedical Engineering and IEEE and she collaborates with different foundations and NGOs promoting technology innovation for Global Health.