PROGRAMME

colour code:

Main tract / Clinical tract

WEDNESDAY 11 DECEMBER 2019 

Topic of the day: Radiomics

09:00-09:30 Welcome and course introduction – Philippe Lambin

09:30-10:15 Radiology/Imaging challenges – Tim Leiner

10:15-11:00 The Image Biomarker Standardization Initiative (IBSI) – Alex Zwanenburg-Bezemer

10:15-11:00 Radiomics in a clinical workflow – Joe Deasy

11:00-11:30 Coffee break

11:30-12:15 Pitfalls in radiomics analysis and associated AI-based solutions – Mathieu Hatt

11:30-12:15 Closing the translational gap – Olivier Morin

12:15-13:15 Lunch

13:15-17:15 Hands-on radiomics workshop for scientists

13:15-17:15 Hands-on radiomics workshop for beginners

THURSDAY 12 DECEMBER 2019

Topic of the day: Deep Learning

09:00-09:30 Wednesday recap and discussion – Henry Woodruff

09:30-10:15 Success stories Deep learning for imaging – Bram van Ginneken

10:15-11:00 Deep learning and radiomics – Joe Deasy

11:00-11:30 Coffee break

11:30-12:15 Ensemble, challenges – Bjoern Menze

11:30-12:15 Deep learning in a clinical workflow – Andrew Maidment

12:15-13:15 Lunch

13:15-17:15 Hands-on deep learning workshop for scientists

13:15-17:15 Hands-on deep learning workshop for beginners

FRIDAY 13 DECEMBER 2019

Topic of the day: Data

09:00-09:30 Thursday recap and discussion – Joe Deasy

09:30-10:15 Advancing Clinical Medicine with the FAIR principles – Michel Dumontier

10:15-11:00 MEDomics: a framework for the development of AI in medicine – Olivier Morin

11:00-11:30 Coffee break

11:30-12:15 Synthetic Data – Andrew Maidment

11:30-12:15 Harmonization strategies for multicentric radiomics – Mathieu Hatt

12:15-13:15 Lunch

13:15-17:15 Hackathon at The D-Lab, Maastricht University – Henry Woodruf

13:15-17:15 Design a clinical trial – Philippe Lambin

SATURDAY 14 DECEMBER 2019

Topic of the day: Multicentric distributed learning

09:00-09:30 Friday recap and discussion – Olivier Morin

09:30-10:15 Distributed learning – Seán Walsh

10:15-10:45 Distributed learning demo – Samir Barakat

10:45-11:15 Coffee break

11:15-11:45 Closing statements – Wim Vos and Philippe Lambin

11:45-12:15 AI4Imaging competition

12:15-13:00 Lunch

13:00-17:00 Hackathon at The D-Lab, Maastricht University

13:00-14:00 Statistics of imaging biomarker trials – Cary Oberije

COURSE PRESENTATIONS

Delegates from the 2018 edition can access the presentations here.
The folder is password protected. Please check your mailbox.

OVERVIEW OF STUDIES AVAILABLE FOR MODEL VALIDATION

Tumor siteModalityOutcomePatient number (N)
BoneScintigraphyRadiologist score1000
BrainMRIOS175
BrainMRIOS, radiologist score65
BreastMammoPathology6671
BreastCESMRadiologist score1883
BreastCTPathology220
HNCT+ HX4-PETHypoxia34
HNCECTOS, PFS311
HNFMISO-CT, FDG-PETHypoxia86
HNHX4-CT, FDG-PETHypoxia19
HNHX4-CT, FDG-PETOS, PFS, Hypoxia19
HNHX4-CT, FDG-PETOS, PFS, Hypoxia12
HNCT, FDG-PETIHC(Pimo staining)71
HNCTOS, PFS517
HNCT OS, PFS850
HNCTOS130
KidneyCTPathology136
LiverCTOS, PFS420
LiverCT, MRIOS, PFS97
LungCTOS422
LungCBCTPathology, OS, PFS71
LungCTRadiologist score1010
LungCBCTOS577
LungFAZA-CTHypoxia36
LungHX4-CT, FDG-PETOS, Hypoxia30
LungHX4-CT, FDG-PETOS, Hypoxa25
LungCTOS129
LungCTIHC53
LungCT, FDG-PETRadiologist score34
LungCTHistology89
LungCTHistology43
LungCTOS101
LungCTBiopsy139
LungCTBiopsy649
LungCTPathology805
Lung, Liver, Kidney, BoneCTLesion bounding boxes4427
ProstateMRI T2w, ADCGleason140

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