ISBI 2016 Women in Biomedical Imaging

Wednesday, 13 April, 6-7pm


Biomedical imaging and image analysis have seen tremendous progress in recent years. However, despite this rapid progress and the growth of the field, women continue to be an under-represented minority in the community, both in academics and in industry.

The ISBI 2016 Women in Biomedical Imaging event aims to provide a platform to discuss gender-related issues in biomedical imaging, increase the visibility of women researchers who can serve as role models to female students and junior researchers, and allow women researchers to network with each other.

We will have an open discussion session before the ISBI Welcome Reception, which will provide an excellent opportunity for networking and informal discussions.

No registration is required for this event open to all interested ISBI attendees (not just women!)

Discussion leaders:

Elsa Angelini, Ph.D.: Dr. Angelini is an Associate Research Scientist and co-director of the Heffner Biomedical Imaging Laboratory at Columbia University since 2012. Her research is focused on image processing for biomedical imaging applications. She has dual affiliation with Telecom ParisTech, for the co-supervision of PhD students and the responsibility of the M2 BioImaging specialty of the BME-Paris Master Program. She has over 130 peer-reviewed publications, was chair of the IEEE EMBS Technical Committee in Biomedical Imaging and Image Processing, general chair of ISBI in 2015 and is a member of the Bio Imaging and Signal Processing Technical Committee of IEEE SPS. She has served as an Associate Editor of the IEEE Transactions on Biomedical Engineering and now for the IEEE Journal of Biomedical Health Informatics.

Arrate Muñoz-Barrutia, Ph.D.:  Dr. Muñoz-Barrutia is currently a visiting professor at the Bioengineering and Aerospace Engineering Department at the Universidad Carlos III de Madrid and a senior scientist a the Medical Imaging Lab at the Hospital General Universitario Gregorio Marañon. Her main research motivation relates to the development of novel imaging technologies to improve early disease detection, disease characterization and therapy delivery. She is currently the chair of the Bio Imaging and Signal Processing Technical Committee of the IEEE Signal Processing Society and also a member of the IEEE Life Sciences Initiative Steering Committee. She serves as an Associate Editor of the IEEE Transactions on Medical Imaging and BMC Bioinformatics.

Mei Chen, Ph.D.: Mei Chen is an Associate Professor in the Computer Engineering Department at the State University of New York, Albany. She was the Intel Principal Investigator for the Intel Science & Technology Center on Embedded Computing that brought together more than sixty faculty and students from Carnegie Mellon, Cornell, Intel, Georgia Tech, Penn State, UC Berkeley, UIUC, and UPenn to advance embedded computing through collaboration. Previously she held research and research lead positions at Intel Labs, HP Labs, and SRI Sarnoff. Mei’s work in computer vision and biomedical imaging were nominated finalists for 6 Best Paper Awards and won 3. While at HP Labs, she successfully transferred her research in computational photography to 5 HP hardware and software products. She earned a Ph.D. in Robotics from the School of Computer Science at Carnegie Mellon University, and a M.S. and B.S. from Tsinghua University in Beijing, China.

Jean-Christophe Olivo-Marin, Ph.D.: Jean-Christophe Olivo-Marin received the Ph.D. and Habilitation à Diriger des Recherches degrees in Optics and Signal Processing from the Institut d’Optique Théorique et Appliquée, University of Paris-Orsay, France. He is the head of the Bioimage Analysis Unit and the director of the Center for Innovation and Technological Research at Institut Pasteur, Paris. He has chaired the Cell Biology and Infection Department and was a cofounder of the Institut Pasteur Korea, Seoul, South Korea. His research over the years has been centered about developing new algorithms for multi-particle tracking, active contours models, image segmentation, microscope modeling, image deconvolution and mathematical imaging. He is a Fellow of the IEEE, an IEEE Signal Processing Society Distinguished Lecturer, chair of the IEEE International Symposium on Biomedical Imaging Steering Committee, a senior area editor of IEEE Signal Processing Letters, and a member of the editorial boards of Medical Image Analysis and BMC Bioinformatics. He was the General Chair of the 2008 IEEE International Symposium on Biomedical Imaging.

Tal Arbel, Ph.D.: Dr. Arbel is an Associate Professor in the Department of Electrical and Computer Engineering at McGill University, where she is a member of the McGill Centre for Intelligent Machines and the Research Director of the Probabilistic Vision Group and Electrical & Computer Engineering Medical Imaging Lab. Her research goals are to develop modern probabilistic techniques in computer vision and apply them to problems in medical imaging, especially in the contexts of neurology and image-guided neurosurgery. For example, she investigates computer vision techniques based on Bayesian reasoning, information theory and graphical models adapted for problems in anatomy and pathology segmentation, classification, and multi-modal image registration. She serves as an editorial board member of CVIU, program committee member of MICCAI, and area chair at IEEE CVPR, among others.


Ipek Oguz, Ph.D., University of Iowa