Programme2018-12-10T16:30:24+00:00

PROGRAMME

SUNDAY 9 DECEMBER – QIB AND RADIOMICS

  • 09:00-09:10 – Welcome: Motivation, course overview – Philippe Lambin
  • 09:10-09:55 – Radiomics – the requirements from an imager’s perspective – Joachim Wildberger
  • 09:55-10:40 – Radiomics: The basics – Joe Deasy
  • 10:40-11:00 – Coffee and networking
  • 11:00-11:45 – Radiomics: the Image Biomarker Standardisation Initiative (IBSI) – Martin Vallières
  • 11:45-12:30 – Pre-post processing and associated pitfalls in radiomics analysis – Mathieu Hatt
  • 12:30-13:30 – Lunch 
  • 13:30-16:30 – Meet Faculty & Assignments: Radiomics Analysis – Henry Woodruff
  • 16:30-17:10 – Presentation of the results and discussion – Henry Woodruff

MONDAY 10 DECEMBER – DEEP LEARNING

  • 09:00-09:45 – The history of Deep Learning – Martin Vallières
  • 09:45-10:30 – Deep Learning: the basics – Joe Deasy
  • 10:30-10:50 – Coffee & Networking
  • 10:50-11:35 – Multi-scale modeling of complex diseases – Olivier Gevaert
  • 11:35-12:20 – Company pitches
  • 12:20-13:20 – Lunch 
  • 13:20-16:20 – Meet Faculty & Assignments: Deep Learning Analysis – Arthur Jochems
  • 16:20-17:00 – Presentation of the results and discussion – Arthur Jochems

EVENING – SOCIAL DINNER IN THE CITY CENTER

TUESDAY 11 DECEMBER – DISTRIBUTED LEARNING

  • 09:00-09:45 – Multi-scale learning: applications in radiogenomics using open data repositories – Olivier Gevaert
  • 09:45-10:30 – Finding Appropriate Privacy Governance – David Townend
  • 10:30-10:50 – Coffee & Networking
  • 10:50-11:35 – Distributed learning – Sean Walsh
  • 11:35-12:20 – The FAIR concept – Michel Dumontier
  • 12:20-13:20 – Lunch 
  • 13:20-16:20 – Data Matching & Assignments: Distributed Learning Analysis – Samir Barakat
  • 16:20-17:00 – Presentation of the results and discussion – Samir Barakat

WEDNESDAY 12 DECEMBER – HOLISTIC VIEW AND FUTURE PROSPECTS

  • 09:00-09:45 – New ways to analyse multiomics data – Joe Deasy
  • 09:45-10:30 – Towards large-scale and systematic quantitative imaging in oncology – Olivier Morin
  • 10:30-10:45 – Coffee & Networking 
  • 10:45-11:30 – Potential clinical trial – Philippe Lambin
  • 11:30-12:00 – BigData4Imaging competition
  • 12:00-12:15 – Farewell – Philippe Lambin

COURSE PRESENTATIONS

Delegates 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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