COMULIS Training School

2nd International IFAMP Training on “Radiomics and AI”
Monday October 11th until Wednesday October 13th, 2021
Hybrid Training School with max 20 participants on-site and 100 virtual participants

WELCOME

The second School on “Radiomics and AI for Molecular Medicine” will be held from October 11th to 13th, 2021. The school will be hybrid and streamed from the studio of the Medical University of Vienna. In addition, this event will be supported by COST Action “COMULIS”. We offer registration for on-site and virtual participants. The school will entail presentations and hands-on and leave ample space for Q&A.

Building on the 2020 School, it will first rehearse the basics of Radiomics and AI before giving the floor to expanded perspectives on data curation, pre-processing, concepts of machine learning and model validation. The theoretical perspectives will be embraced by statements on pre-/clinical use-cases. Hands-on sessions will address various open-source and zero-code, minimum-tune solutions for radiomics and machine learning.

Our faculty is composed of international experts in the fields of molecular imaging, computer sciences and AI. The number of on-site and remote attendees is limited to 20 and 100, respectively. Training fees for all fellows are 150 EUR for academic external delegates and 250 EUR for delegates from industry. A limited number of COMULIS grants is available for ESR.

COMULIS (Correlated Multimodal Imaging in Life Sciences) is an EU-funded COST Action that aims at fueling urgently needed collaborations in the field of correlated multimodal imaging, promoting and disseminating its benefits through showcase pipelines, and paving the way for its technological advancement and implementation as a versatile tool in biological and preclinical research.

TARGETED PARTICIPANTS

This course aims at imaging stakeholders who are interested in extracting levels of information beyond plain 3D or 4D image analysis. This includes imaging and medical specialists, imaging physicists, as well as early-stage computer scientists with a strong interest in radiomics, ML and data processing. Little prior experience, and no programming skills are needed to attend the course. Fellows will be trained in good scientific practice in Radiomics/AI/Imaging, in the core and mid-level aspects of machine learning, data preparation and model building and validation using coding-free tools

As a COMULIS Training School we target participants who are interested in understanding and using Radiomics and AI functionalities to building prediction models using molecular and correlated image information.

KEY OBJECTIVES

To highlight the basics of Radiomics and AI in the context of image-guided diagnosis and therapy management using both pre-/clinical data.
To appreciate the need for high quality input data to AI, and to learn about data curation prior to feeding AI algorithms.
To deepen the knowledge of machine learning and AI to medical imaging.
To learn about strategies to validate prediction models.
To learn about Open Access tools, zero-tune and limited/zero-code algorithms to extract radiomic features and build prediction models.

Fellows shall be enabled through insider knowledge of radiomics and AI and access to a variety of software functionalities to build effective and accurate models for their inherent pre-/clinical research.

LECTURES

This course is composed of in-depth lectures and interactive sessions using different software tools

The role of Radiomics and AI in clinical applications

Planning clinical research activities in the world of AI
Feature extraction
Data preparation and accounting for data imbalances
Data analysis, harmonization, and the curse of dimensionality
Model interpretation and validation

PRELIMINARY PROGRAM

DAY 1 Monday, October 11th

DAY 2 Tuesday, October 12th

DAY 3 Wednesday, October 13th

LIST OF SPEAKERS

Our faculty comes with in-depth experience and expertise in image data generation and processing with a focus on molecular imaging and machine learning. Together, they provide a unique teaching experience for users and aspiring talents in the domain of AI-based decision support systems.

REGISTRATION AND MOTIVATION LETTER

Click HERE to register

The course is supported by the COMULIS COST Action, however, a minimal registration fee will be charged to cover items not covered by COST or the training school sponsors.

Academia 150 Euros
Industry 250 Euros

The registration fee will cover lunches, coffee breaks, and course materials.

The registration deadline is September 30th, 2021.

FINANCIAL SUPPORT

Eight (8) selected eligible participants from the COMULIS COST Action member labs will receive financial support to attend the course. The stipend will cover registration, travel costs, accommodation and some meals.

For selection purposes for the financial support please succinctly tell us why you need the support. The recommended length is 250 – 300 words.

COURSE ACCEPTANCE AND PAYMENT

Accepted participants will receive a link and further instructions for the payment.

If payment is not received by the deadline specified in the acceptance e-mail, the participant will forfeit their spot and the opportunity will be offered to wait-listed participants.

No visa support letters will be issued until payment of the registration fee is confirmed, however, further details will be provided for participants needing visa applications.

ACCOMMODATION

Due to its close proximity to the Training School venue (The Van Swieten lecture hall of the Medical University Vienna), we recommend to stay at the Hotel Regina, Vienna.

VENUE

The event will be streamed from the studio at the Medical University in Vienna. On-site participants are welcome to the event at the Van Swieten Saal on Monday and Tuesday. On Wednesday, participants can gather at the Seminar Room (tbd) in the Dental Clinic at the Medical University (tbd).

TRANSPORTATION

Airport to Hotel:

Vienna International Airport is located 30 minutes outside Vienna city center. The easiest way is to take a taxi directly to the hotel – however, please note that taxi travel is not refundable by COST.

Public Transport

From Vienna Airport to Hotel Regina

Take the rapid transit railway S7 (departing every 30 minutes) to “Landstraße Wien Mitte”. From there, take metro line U4 towards “Heiligenstadt”, and ride until “Schottenring” station. Then change to line U2 towards “Karlsplatz” and take one station to “Schottentor”. Exit towards “Schottentor/Universität”and immediately thereafter take the staircase with a sign that says “Währingerstrasse". From there, you can see Hotel Regina directly in front of you.

From Hotel Regina to Van Swieten Saal

Additional Information

For further inquires about the program, training school or sponsorship opportunities, please contact Dr Thomas Beyer with the subject header “COMULIS Radiomics and AI Training school”.