Adrien Foucart

Postdoctoral researcher
LISA, University of Brussels

adrien@adfoucart.be

Scientific publications (Google Scholar)

A. Foucart, O. Debeir, C. Decaestecker.
Why Panoptic Quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology
Preprint, 2022 (currently under review)
A. Foucart
Impact of real-world annotations on the training and evaluation of deep learning algorithms in digital pathology
PhD dissertation. Publicly defended on October 25th, 2022.
A. Foucart, O. Debeir, C. Decaestecker.
Shortcomings and areas for improvement in digital pathology image segmentation challenges
Computerized Medical Imaging and Graphics 103, 2023
A. Foucart, O. Debeir, C. Decaestecker.
Evaluating participating methods in image analysis challenges: lessons from MoNuSAC 2020
Preprint, 2022 (currently under review)
A. Foucart, O. Debeir, C. Decaestecker.
Comments on "Monusac2020: A Multi-Organ Nuclei Segmentation and Classification Challenge"
IEEE Trans. Medical Imaging, 2022
A. Foucart, O. Debeir, C. Decaestecker.
Processing multi-expert annotations in digital pathology: a study of the Gleason 2019 challenge
Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis (SIPAIM)
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
Peut-on comparer Trump à Hitler?
La Libre Belgique - Débats - Janvier 2017
A. Foucart
Nous parlons trop des attentats.
La Libre Belgique - Opinions - Août 2016
A. Foucart
2xRien - Un Blog (opinions)
A. Foucart
Research Blog - Deep Learning in Digital Pathology

Work Experience

November 2015 - October 2022
Teaching Assistant and PhD Student, LISA, University of Brussels
Thesis title: Impact of real-world annotations on the training and evaluation of deep learning algorithms in digital pathology.
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

Education

Other activities

Languages