Project 1.3 - Deep Transfer Learning

For real world systems training data has been acquired with slightly different acquisition protocols, different scanners, or from a different patient population. To still learn robustly, we will develop deep transfer learning technology where the domain transfer is addressed in the representation learning step for which we use different coupled network architectures.

Project Leader

Erasmus Medical Center
Dr. Marleen de Bruijne Erasmus Medical Center marleen.debruijne@erasmusmc.nl

Co-Applicants

University Medical Center Utrecht
Dr. Ivana Išgum University Medical Center Utrecht i.isgum@umcutrecht.nl
University of Amsterdam
Prof.dr. Max Welling University of Amsterdam m.welling@uva.nl

Researchers

University of Amsterdam
Maximilian Ilse University of Amsterdam m.ilse@uva.nl
Erasmus Medical Center
Kimberlin van Wijnen Erasmus Medical Center k.vanwijnen@erasmusmc.nl
University Medical Center Utrecht
Julia Noothout University Medical Center Utrecht j.m.h.noothout-2@umcutrecht.nl

Publications

2018

J.M.H. Noothout, B.D de Vos, J.M. Wolterink, T. Leiner, I. Isgum

CNN-based Landmark Detection in Cardiac CTA Scans Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX