Deep Learning for Medical Imaging School

Date(s) - 15 Avr. 2019 - 19 Avr. 2019
Toute la journée

The Deep Learning for Medical Imaging School is a research training event which will cover the main aspects of the critical and fast developing area of deep learning for medical image analysis. We will provide the fundamental principles of machine and deep learning, review the most advanced deep architectures and give an insight into the most challenging subareas of this domain with a special emphasize on the specificities of deep medical image analysis.

The summer school will take place in Lyon at INSA LYON Electrical Engineering department (see access map)  from the 15th to the 19th of April 2019. We will provide accommodation on the campus and strongly encourage all participants to stay at the spring school site and to take all meals on-site!

We will be offering 16 lecture hours and 4 hands on sessions of 4 hours each in computer labs. Lectures will be given by renowned researchers, in an informal setting.

We anticipate about 50 attendees. Although the target audience is students, post-docs and researchers, it is also opened to any interested parties. There are no formal pre-requisites for attendance in terms of academic degrees but basic knowledge or practice abilities in computer science are recommended.

Interaction will be a main component of the spring school. A convivial poster session (16th of April) will give participants the opportunity to present their own work in progress. We also schedule a round table fostering clinicians, industrials and research academics (15th of April) to discuss the challenges and needs to promote this research area and transfer this technology to the clinical practice.

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