Project 2.2 - Dynamic Deep Learning

We develop a framework for dynamic deep learning. This system can learn continuously from feedback from experts. It can learn easy concepts first and gradually learn complex tasks after having seen more data. The network will express its uncertainty and ask for feedback on cases it is uncertain about or has not seen before.

Project Leader

Radboud University Medical Center
Dr. Clarisa Sánchez Radboud University Medical Center clara.sanchezgutierrez@radboudumc.nl

Co-Applicants

Radboud University Medical Center
Prof.dr. Bram van Ginneken Radboud University Medical Center bram.vanginneken@radboudumc.nl
University Medical Center Utrecht
Dr. Ivana Išgum University Medical Center Utrecht i.isgum@umcutrecht.nl

Researchers

Radboud University Medical Center
Cristina Gonzalez Gonzalo Radboud University Medical Center cristina.gonzalezgonzalo@radboudumc.nl
Radboud University Medical Center
Ecem Lago Radboud University Medical Center ecem.lago@radboudumc.nl
University Medical Center Utrecht
Jörg Sander University Medical Center Utrecht j.sander@umcutrecht.nl

Publications

2019

C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. T. Lechanteur, A. Domanian, B. van Ginneken, C. I. Sánchez

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration Journal Article Forthcoming

Forthcoming.

Abstract | Links | BibTeX

Ecem Sogancioglu,Keelin Murphy,Erdi Calli, Ernst Scholten, Steven Schalekamp, Bram van Ginneken

Deep Learning Anatomical Segmentations for Cardiothoracic Ratio Measurement on Chest X-rays Journal Article Forthcoming

Forthcoming.

BibTeX

J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

C. González-Gonzalo, B. Liefers, A. Vaidyanathan, H. J. van Zeeland, C. C. W. Klaver, C. I. Sánchez

Opening the “black box” of deep learning in automated screening of eye diseases Inproceedings

Association for Research in Vision and Ophthalmology Annual Meeting. ARVO Vancouver, 2019.

Abstract | Links | BibTeX

J. Engelberts, C. González-Gonzalo, C. I. Sanchez, M. van Grinsven

Automatic Segmentation of Drusen and Exudates on Color Fundus Images using Generative Adversarial Networks Inproceedings

Association for Research in Vision and Ophthalmology Annual Meeting. ARVO Vancouver, 2019.

Abstract | Links | BibTeX

2018

C. González-Gonzalo, B. Liefers, B. van Ginneken, C. I. Sánchez

Improving weakly-supervised lesion localization with iterative saliency map refinement Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX