From August-31 to September-2, 2020
From August-31 to September-2, 2020
The first Summer School on “Radiomics and AI for Molecular Medicine” will be held from August 31 to September 2, 2020. The school will be entirely virtual. It will provide training in the basic concepts of Radiomcis and AI for translation in to nuclear and molecular medicine applications. Trainees will be encouraged to bring data and to share challenges from their local sites. During the course, trainees will be working with the OpenSource platform LifeX so as to gain hands-on experience with feature extraction and, subsequently, machine-learning and prediction models. The faculty is composed of international experts in the fields of nuclear medicine imaging, computer sciences and AI. The summer school is limited to 40 participants. Training fees are 50 EUR for academic delegates and 120 EUR for delegates from industry.
Nuclear medicine specialists. Medical Physicists. Computer scientists and IT experts. Clinical researchers. All with a background in nuclear medicine and basic image processing.
To understand image- and quantification-based biomarkers in nuclear medicine and ancillary domains. To appreciate the need for high quality inpout data to AI. To comprehend the basic concepts of AI, machine learning and features. To get acquainted with LifeX (as one option for OpenSource feaure exteraction). To learn to build on-demand prediction models. To appreciate the need for assessing accuracu and reproducibility of prediction models.
This online course is composed of multiple in-depth lectures an interactive sessions using LifeX
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.
VIRTUAL TRAINING SCHOOL “RADIOMICS AND AI IN MOLECULAR MEDICINE”
31ST AUGUST – 2ND SEPTEMBER 2020
| Time | Monday, Aug 31 | Tuesday, Sep 1 | Wednesday, Sep 2 |
|---|---|---|---|
| 09.00 |
Course objective | Faculty
(T Beyer, L Papp, I Buvat and S Ziegler) |
Feedback Day 1 (L Papp) | Feedback Day 2 (I Buvat) |
| 09.30 |
Hands-on concept | GoTo Intro (T Beyer) |
Research Planning for AI-projects (I Buvat) |
Building Models (L Papp) |
| 10:15 | Break | Q&A | Q&A |
| 10:30 |
A clinical perspective on Radiomics and AI (M Hacker) |
Data preparation (L Papp) |
Validation and model interpretation (L Kaiser) |
| 11:30 |
Roundtable M Hacker, S Ziegler, I Buvat, T Beyer |
Roundtable L Papp, F Orlhac, I Buvat |
Roundtable L Kaiser, L Papp, I Buvat |
| 11:45 | Break | Break | Break |
| 12:00 |
Harmonized NM imaging (T Beyer) |
Feature extraction (F Orlhac) |
A pathologist’s perspective on Radiomics and AI (W. Weichert) |
| 12:45 |
Roundtable S Ziegler, I Buvat, T Beyer |
Roundtable L Papp, F Orlhac, I Buvat |
Roundtable W Weichert, M Hacker, I Buvat, F Orlhac |
| 13:00 | Break | Break | Break |
| 14:00 |
Meet the LifeXperts (I Buvat, F Orlhac) |
Meet the LifeXperts (I Buvat, F Orlhac) |
Meet the LifeXperts (I Buvat, F Orlhac) |
| 15:00 | End-of-day | End-of-day | End-of-day and Farewell |
