PROGRAMME

Below you can find the preliminary 2022 programme.

colour code:

Main tract / Clinical tract

WEDNESDAY 29 JUNE 2022 

Topic of the day: Radiomics

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

09:30-10:15 Imaging challenges – Max Seidensticker

10:15-11:00 The current state of feature harmonization – Fanny Orlhac

10:15-11:00 Clinical relevance of Radiomics studies – Harini Veeraraghavan

11:00-11:30 Coffee break

11:30-12:15 Moving towards a common standard for quantitative imaging – Andrey Fedorov 

11:30-12:15 MEDomics a framework for the development of AI in medicine – 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 30 JUNE 2022

Topic of the day: Deep Learning

09:00-09:15 Wednesday recap and discussion – Henry Woodruff

09:15-10:00 What is the state of the art in DL – Bram van Ginneken

10:00-10:45 Federated Deep Learning in Healthcare – Shadi Albarqouni

10:45-11:00 Deep learning segmentation development and clinical use – provider perspective – Jarkko Niemelä

11:00-11:30 Coffee break

11:30-12:15 DL for Automatic Segmentation – are we there yet? – Mark Gooding

11:30-12:15 Deep learning in a clinic – 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 1 JULY 2022

Topic of the day: Synthetic Data

09:00-09:30 Thursday recap and discussion – Harini Veeraraghavan

09:30-10:15 GANS et al – the solution to lack of data? – Guang Yang

10:15-11:00 Virtual Clinical Trials – Andrew Maidment

11:00-11:30 Coffee break

11:30-12:15 Synthetic Data – can we trust it? – Bram van Ginneken

11:30-12:15 Preparatory work for the afternoon workshop – Philippe Lambin

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 2 JULY 2022

Topic of the day: Prospective Clinical Trials

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

09:30-10:15 Summary of the ongoing and concluded prospective clinical trials – Harini Veeraraghavan

10:15-10:45 Current state of the law regarding data – David Townend

10:45-11:15 Coffee break

11:15-11:45 Closing statements – Philippe Lambin

11:45-12:15 AI4Imaging competition

12:15-13:00 Lunch

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

13:00-15:00 Design a clinical trial (part 2) – Philippe Lambin

COURSE PRESENTATIONS

Delegates from the 2019 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

LATEST ARTICLES

Some interesting articles worth reading before attending the course:

“Radiomics: from qualitative to quantitative imaging”, Rogers, W. et al. (2020), The British Journal of Radiology, 93 (1108)
doi: 10.1259/bjr.20190948

“Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)”, Zerka et al. (2020), IEEE Access 8, 183939-183951
Doi: 10.1109/ACCESS.2020.3029445

“The effects of in-plane spatial resolution on CT-based radiomic features’ stability with and without ComBat harmonization”, Ibrahim et al. (2021), Cancers 13 (8), 1848
Doi: 10.3390/cancers13081848

“Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework”, Ibrahim et al. (2021), Methods, 188, 20-29
doi: 10.1016/j.ymeth.2020.05.022

“The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset”, Ibrahim et al. (2021), PloS one 16 (5), e0251147
Doi: 10.1371/journal.pone.0251147