Big Data for Imaging
Radiomics, Deep Learning and Distributed Learning - a hands-on course
December 9-12, 2018
This course on Big Data for Imaging is a unique opportunity to join a community of leading edge practitioners in the field of Artificial Intelligence for Medical Imaging. During this 4-days immersive course, you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Distributed Learning. You can also bring your own curated dataset with you (open source or anonymized and cleared by ethics). If requested, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.
Our starting point is an overview of the history of Medical Imaging Artificial Intelligence, we then discuss the success stories but also the pitfalls. Next, we will review the process from data acquisition, access to the DICOM objects, features extraction, machine learning (including new developments with Deep Learning) analysis and validation.
In the final part of the course, we will discuss the current challenges and directions of research in the field; in particular, the necessity of dealing with large annotated data sets, the FAIR principles and the distributed learning approach. The course will be divided into lectures during the morning and hands on assignments in the afternoon. Participants are encouraged to come with their data and we will organize (if possible) matching data for validation from other participants on the course.
3rd School of Cardiac Diagnostics
January 30 - February 03, 2019
Following practical and scientific topics will be covered:
- Clinical use and some technical aspects of CT, MR, ECHO, PET and SPECT
- Use of various contrast agents with some current issues inclusively pre- and intra-diagnostic medication
- Established and some new aspects of cardiac hemodynamics, ischemic heart disease inclusively dynamic myocardial
perfusion and its regulation, MR- myocardial viability and tissue characterization, cardiomyopathies, pericardial diseases,
congenital and acquired cardio-vascular and valvular diseases and some minimal invasive therapeutic approaches, 4D-Flow
using MR or CT
- Participation in real cardiac CT and – MR studies at the Medical University of Ljubljana
- Interactive reading sessions with experts – invited speakers
- Case studies from participants
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