PROGRAMME
Below you can find the preliminary 2022 programme.
This 2022 programme was awarded 24 European CME Credits (ECMEC®s) and 72 CPD credit points at EBAMP EQF Level 7
colour code:
Main tract > lectures in conference hall = plenary room
Clinical tract > lectures in room 223
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 – Seán Walsh
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 @ UM (tea break from 15:15-15:45 @ MSM)
13:15-17:15 Hands-on radiomics workshop for beginners @ UM (tea break from 15:15-15:45 @ MSM)
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 radiomics workshop for scientists @ UM (tea break from 15:15-15:45 @ MSM)
13:15-17:15 Hands-on radiomics workshop for beginners @ UM (tea break from 15:15-15:45 @ MSM)
FRIDAY 1 JULY 2022
Topic of the day: Synthetic Data
09:00-09:15 Thursday recap and discussion – Harini Veeraraghavan
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 Yet Another AI talk? Segmentation, synthesis and beyond! – Kumar Shreshtha
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)
https://colab.research.google.com/drive/1xTBeFI8NKek5Kml-9PyJqsfcZ6HR-FJu?usp=sharing
13:15-17:15 Design a clinical trial – Philippe Lambin, Anshu Ankolekar, Shahab Jolani (tea break from 15:15-15:45)
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 – Henry Woodruff
11:45-12:15 AI4Imaging competition
12:15-13:00 Lunch
13:00-17:00 Hackathon at The D-Lab, Maastricht University (tea break at UM)
https://tinyurl.com/hackai4i
13:00-15:00 Design a clinical trial (part 2) – 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