Online Machine Learning School 2024#
We are excited to announce that Prof. Nikolaos Koutsouleris and his teams in Munich and London, in collaboration with the ECNP Neuroimaging Network, are organizing the Online Machine Learning School for Clinicians and Researchers in the field of Psychiatry and Neuroscience. The school is designed to introduce participants to the fundamentals of machine learning, with a emphasis on applications in psychiatric neuroimaging.
Over the past years, our highly-rated program has been successfully attended by professionsals from around the globe. This year, the Online Machine Learning School will be held October 7-11, 2024 and November 4-5 2024.
Join us for an engaging and informative experience that bridges the gap between clinical practice and cutting-edge machine learning techniques.
Registrations#
Main Course (7-11 Oct, 2024): 260 Euro (registration closed) Advanced Course (4-5 Nov, 2024): +240 Euro (registration open)
Advanced Course only (4-5 Nov, 2024): 300 Euro (only open to participants of earlier OMLSS editions) Please contact us through e-mail in this case.
Apply for data deep dive days
In order to ensure that we can provide the necessary expertise for your research question and data modality, please apply to this extra course by briefly describing what you are working on. You can use this form and send it to psy-nmss@med.uni-muenchen.de.
2024 Program#
The 2024 program comprises several specialized modules, each designed to build on the previous one, providing participants with a comprehensive learning experience tailored to their needs and experience:
Seminars & Expert Lectures: Gain foundational knowledge and insights from leading experts in the field
Hands-on NeuroMiner Tutorials: Apply what you’ve learned through practical tutorials using the NeuroMiner toolbox. Tutorials are held in small groups, organized based on participants’ experience levels, ensuring personalized attention and support.
Advanced Methods & Data-Specific Advice: Enhance your skills with advanced machine learning methods and receive tailored advice for your specific data and research needs.
Seminars & Expert Lectures - Speakers#
Seminars are held in the morning of each day from October 7-10, 2024. They introduce fundamental and advanced machine learning concepts which understanding is essential for running your own analyses. The expert lectures, delivered by external speakers, aim to provide a well-rounded overview of cutting-edge research in machine learning in psychiatry and beyond.
Hands-on NeuroMiner Tutorials#
In the five tutorial sessions, students will deepen the theoretical machine learning concepts introduced in the seminars and lectures and practice their skills through hands-on exercises using the NeuroMiner toolbox. During the exercises, you will work with real neuroimaging data. The tutor-to-student ratio will be a maximum of 2:11 to ensure room for discussions and individual questions. Tutorial groups are divided based on previous coding and machine learning experience, with content tailored accordingly. Topics include basic machine learning concepts such as cross-validation, external validation, feature dimensionality reduction, correction for site effects in neuroimaging data, external model validation, and model interpretation. The tutorial concludes with a fun Kaggle competition.
Data Deep Dive Days#
This brand-new two-day add-on course was introduced to provide individual advice especially targeted to your research question and your data. Topics covered are data-modality specific preprocessing pipelines, model evaluation, analysis design, parallelized NeuroMiner employment on high-performance clusters (HPC). The tutor-to-student ratio will be a maximum of 1:2 to ensure ample individual attention. There will also be opportunities to discuss analysis design choices with Prof. Koutsouleris.
Organized by#
The school is supported by the Section for Precision Psychiatry @ LMU Clinics, the Artificial Intelligence in Mental Healthy (AIM) lab @ KCL, Max Planck Fellow Group for Precision Psychiatry, the ECNP, and ECNP Neuroimaging Network.
Contact#
General inquiries: psy-nmss@med.uni-muenchen.de If you’d like to get a notification once registrations open & would like to be added to our mailing list, just send us a mail, too!
For specific questions related to the course content you can also reach out to one of our organizing colleagues:
FAQ#
When and how long is the online school?
Modules one and two of the Online Machine Learning School will run from October 7 - 11, 2024. Lectures, seminars and tutorials will run from 9:30 - 5:00 CEST daily. The individual data advice module will be held on November 12-13, 2024.
What is included in the free course?
Registering for the free course lets you participate in the expert lectures and seminars only.
What is NeuroMiner?
Neurominer is a free software developed to facilitate research into better tools for precision medicine, able to perform multiple kinds of Machine Learning analyses. Neurominer requires no coding experience.
How do I download NeuroMiner?
Matlab R2023b is required in order to run Neurominer. Participants of the NeuroMiner tutorials and the data-specific advice days will be provided with a temporary license. Alternatively, a free 30-day trial can be downloaded from the MathWorks website. Neurominer can be downloaded from neurominer-git. Please ensure you download the latest version.
Will I get a certificate of completion?
A certificate will be issued upon successful participation for module 2 (NeuroMiner tutorials) and module 3 (advanced methods & data-specific advice) and send through email after the school.