Upcoming Events

3rd PET is Wonderful International Meeting Aug 06, 2018 02:00 PM - 05:00 PM — Lecture Theatre T100, School of Chemistry, King’s Building, University of Edinburgh
Society for Magnetic Resonance Angiography 30th Annual International Conference Aug 29, 2018 - Aug 31, 2018 — University of Glasgow
British Association for Cognitive Neuroscience Meeting 2018 Sep 06, 2018 - Sep 07, 2018 — University of Glasgow
Predictive Intelligence in Medicine MICCAI 2018 Workshop Sep 16, 2018 12:00 AM — Granada, Spain
Scottish Molecular Imaging Meeting 2018 Sep 19, 2018 09:00 AM - 07:00 PM — Beatson Institute for Cancer Research (BICR), Glasgow

Predictive Intelligence in Medicine MICCAI 2018 Workshop

1st Workshop on PRedictive Intelligence in MEdicine (PRIME) at MICCAI 2018
When Sep 16, 2018
from 12:00 AM to 12:00 AM
Where Granada, Spain
Contact Name
Add event to calendar vCal

Big and complex data is fuelling diverse research directions in both medical image analysis and computer vision research fields. These can be divided into two main categories: (1) analytical methods, and (2) predictive methods. While analytical methods aim to efficiently analyse, represent and interpret data (static or longitudinal), predictive methods leverage the data currently available to predict observations at later time-points (i.e., ‘forecasting the future'). For instance, a method which only focuses on classifying patients with mild cognitive impairment (MCI) and patients with Alzheimer’s disease (AD) is an analytical method, while a method which predicts if a subject diagnosed with MCI will remain stable or convert to AD over time is a predictive method. Similar examples can be established for various neurodegenerative or neuropsychiatric disorders, degenerative arthritis or in cancer studies, in which the disease/disorder develops over time.

It would constitute a stunning progress in the Medical Image Computing and Computer Assisted Intervention (MICCAI) research community if, in a few years, we contribute to engineering a ‘predictive intelligence’ which can map both low-dimensional and high-dimensional medical data onto the future with high precision. This workshop is the first endeavor to drive the field of ‘high-precision predictive medicine’, where late medical observations are predicted with high precision, while providing explanation via machine and deep learning, and statistically, mathematically- or physically-based models of healthy, disordered development and ageing.

This workshop will mediate ideas from both machine learning and mathematical/statistical/physical modeling research directions in the hope to provide a deeper understanding of the foundations of predictive intelligence developed for medicine, as well as to where we currently stand and what we aspire to achieve through this field. PRIME-MICCAI 2018 will feature a single-track workshop with keynote speakers with deep expertise in high-precision predictive medicine using machine learning and other modeling approaches —which are believed to stand at opposing directions. Our workshop will also include technical paper presentations, poster sessions, and demonstrations. Eventually, this will help steer a wide spectrum of MICCAI publications from being ‘only analytical’ to being ‘jointly analytical and predictive’.

Call for papers (extended submission deadline: 20 June 2018)

More information about this event…