Adrien Foucart

Teaching Assistant and PhD Student
LISA Image, University of Brussels

Scientific publications

Y-R. Van Eycke, A. Foucart, C. Decaestecker.
Strategies to Reduce the Expert Supervision Required for Deep Learning-Based Segmentation of Histopathological Images.
Frontiers in Medicine (6). 2019.
A. Foucart, O. Debeir, C. Decaestecker.
SNOW: Semi-Supervised, NOisy and/or Weak Data for Deep Learning in Digital Pathology.
IEEE 16th Int'l Symposium on Biomedical Imaging (ISBI 2019) (pp. 1869-1872).
A. Foucart, O. Debeir, C. Decaestecker.
Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks.
4th Int'l Conference on Cloud Computing Technologies and Application (CloudTech'18).
A. Foucart, O. Debeir.
Unsupervised vehicle detection in traffic scene using distributed one class classifiers.
Int'l Symposium on signal, Image, Video and Communications. 2012.

Other publications

L. Zapico & A. Foucart
Aller plus loin.... sans se perdre: la zone de défis.
Le Mag Anim' #13 - Mars 2019
A. Foucart
Nous parlons trop des attentats
La Libre Belgique - 9 août 2016

Work Experience

November 2015 - Present
Teaching Assistant and PhD Student, LISA Image, University of Brussels
Thesis topic: Deep Learning applied to histological images.
Courses: Medical Information Systems Pattern recognition and image analysis Image acquisition and processing
September 2013 - October 2015
Web-based solutions Teleradiology Health information technologies
September 2011 - August 2013
Research Engineer, LISA Image, University of Brussels.
Image processing Machine learning Video analysis
August 2010 - November 2010
Intranet Patient flow & appointments Database


Other activities