Programme2018-11-09T21:19:07+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 – Ralph Leijenaar
  • 16:30-17:10 – Presentation of the results and discussion – Ralph Leijenaar

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 – Towards large-scale and systematic quantitative imaging in oncology – Olivier Morin
  • 11:35-12:20 – Deep Learning success stories – TBC
  • 12:20-13:20 – Lunch & Company Pitches 
  • 13:20-16:20 – Meet Faculty & Assignments: Deep Learning Analysis – Henry Woodruff
  • 16:20-17:00 – Presentation of the results and discussion – Henry Woodruff

EVENING – SOCIAL DINNER IN THE CITY CENTER

TUESDAY 11 DECEMBER – DISTRIBUTED LEARNING

  • 09:00-09:45 – Open source repository – 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 – Arthur Jochems
  • 16:20-17:00 – Presentation of the results and discussion – Arthur Jochems

WEDNESDAY 12 DECEMBER – HOLISTIC VIEW AND FUTURE PROSPECTS

  • 09:00-09:45 – Starting a community – Wiro Niessen
  • 09:45-10:30 – Grand-Challenge/Moonshot – Joe Deasy, Olivier Gevaert & Philippe Lambin
  • 10:30-10:45 – Coffee & Networking 
  • 10:45-11:30 – Potential clinical trial – Philippe Lambin
  • 11:30-12:00 – Kahoot! Competition
  • 12:00-12:15 – Farewell – Philippe Lambin

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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