PROGRAMME

Below you can find the preliminary 2023 programme.

Application for CME recognition will be submitted to the European Accreditation Council for Continuing Medical Education (EACCME), an institution of the European Union of Medical Specialists (UEMS). EACCME credits are recognised by the American Medical Association towards the Physician’s Recognition Award (PRA).

colour code:

Main tract > lectures in conference hall = plenary room
Clinical tract > lectures in room 223

WEDNESDAY 28 JUNE 2023 

Topic of the day: Radiomics

09:00-09:30 Welcome and course introduction – Henry Woodruff

09:30-10:15 Do we need AI in a Radiology Department – Joachim Wildberger

10:15-11:00 Harmonizing datasets for radiomics studies – Adrien Depeursinge

10:15-11:00 Is Radiomics still relevant? – Joe Deasy

11:00-11:30 Coffee break

11:30-12:15 The state of standardized radiomics – Alexander Zwanenburg

11:30-12:15 Radiomix in a radiotherapy context – 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 29 JUNE 2023

Topic of the day: Deep Learning

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

09:15-10:00 DL works… how do we implement it? – Bram van Ginneken

10:00-10:45 Explainable AI for medical images – Sebastian Lapuschkin

10:45-11:00 Scientific demo pitch 1

11:00-11:30 Coffee break

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

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

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 

FRIDAY 30 JUNE 2023

Topic of the day: Synthetic Data

09:00-09:15 Thursday recap and discussion – Joe Deasy

09:15-10:00 GANS et al – the solution to lack of data? – Guang Yang

10:00-10:45 Virtual Clinical Trials – Andrew Maidment

10:45-11:00 Scientific demo pitch 2

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, Anshu Ankolekar, Shahab Jolani

12:15-13:15 Lunch

13:15-17:15 Hackathon at The D-Lab, Maastricht University – Henry Woodruf (tea break from 15:15-15:45)

13:15-17:15 Design a clinical trial – Philippe Lambin, Anshu Ankolekar, Shahab Jolani (tea break from 15:15-15:45)

SATURDAY 1 JULY 2023

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 – Joe Deasy

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

10:45-11:15 Coffee break

11:15-11:45 Closing statements – Henry Woodruff

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 and pitches) – Philippe Lambin, Anshu Ankolekar

COURSE PRESENTATIONS

Delegates from the 2022 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