This is a blended learning course on Machine Learning for Image Analysis, consisting of three online sessions with associated hands-on exercises prior to the workshop, a three day face-to-face workshop at EMBL Heidelberg and two optional online sessions with associated hands-on exercises after the workshop. The course is jointly organised by CORBEL, EMBL, German BioImaging and NEUBIAS (COST Action CA15124).
The course will be a great mix of intensive learning, extensive hands-on and community networking in the field of Machine Learning for Image Analysis.

• Up-front online sessions: Participants will review the fundamentals of machine learning in three up-front webinars complemented by online tutorials. The webinars will take place on 2nd, 9th and 16th October 2018, 12:00 – 14:00 but a recorded alternative can be provided.
• On-site workshop: Next, they will apply their knowledge at an on-site workshop (EMBL Heidelberg, October 29-31), in small interactive groups (the workshop has 20 available seats and ~8 trainer/lecturer), to both reference datasets and their own data. Topics to be practiced in these groups include: 2D and 3D segmentation with convolutional neural networks, Content aware image restoration, simulation of ground truth data, labeling strategies and transfer learning. Participants will be asked to pick one group for the practical sessions.
• Follow-up online sessions (optional): After the on-site workshop, two optional advanced training webinar, complemented by a online tutorials, will be given on 9th and 16th November 2018. These will focus simulation of data, transfer learning and boosting.

For additional information please visit the course webpage.

Application deadline: June15 2018