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 – tbc
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 Sample size calculation – 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 – David Townend
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 site | Modality | Outcome | Patient number (N) |
---|---|---|---|
Bone | Scintigraphy | Radiologist score | 1000 |
Brain | MRI | OS | 175 |
Brain | MRI | OS, radiologist score | 65 |
Breast | Mammo | Pathology | 6671 |
Breast | CESM | Radiologist score | 1883 |
Breast | CT | Pathology | 220 |
HN | CT+ HX4-PET | Hypoxia | 34 |
HN | CECT | OS, PFS | 311 |
HN | FMISO-CT, FDG-PET | Hypoxia | 86 |
HN | HX4-CT, FDG-PET | Hypoxia | 19 |
HN | HX4-CT, FDG-PET | OS, PFS, Hypoxia | 19 |
HN | HX4-CT, FDG-PET | OS, PFS, Hypoxia | 12 |
HN | CT, FDG-PET | IHC(Pimo staining) | 71 |
HN | CT | OS, PFS | 517 |
HN | CT | OS, PFS | 850 |
HN | CT | OS | 130 |
Kidney | CT | Pathology | 136 |
Liver | CT | OS, PFS | 420 |
Liver | CT, MRI | OS, PFS | 97 |
Lung | CT | OS | 422 |
Lung | CBCT | Pathology, OS, PFS | 71 |
Lung | CT | Radiologist score | 1010 |
Lung | CBCT | OS | 577 |
Lung | FAZA-CT | Hypoxia | 36 |
Lung | HX4-CT, FDG-PET | OS, Hypoxia | 30 |
Lung | HX4-CT, FDG-PET | OS, Hypoxa | 25 |
Lung | CT | OS | 129 |
Lung | CT | IHC | 53 |
Lung | CT, FDG-PET | Radiologist score | 34 |
Lung | CT | Histology | 89 |
Lung | CT | Histology | 43 |
Lung | CT | OS | 101 |
Lung | CT | Biopsy | 139 |
Lung | CT | Biopsy | 649 |
Lung | CT | Pathology | 805 |
Lung, Liver, Kidney, Bone | CT | Lesion bounding boxes | 4427 |
Prostate | MRI T2w, ADC | Gleason | 140 |
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