Publications

List of publications

For the definitive versions of each journal/conference publication, refer to the DOI link.

A. Foucart, A. Elskens, C. Decaestecker
Ranking the scores of algorithms with confidence
Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025)
doi:10.14428/esann/2025.ES2025-39 Di-fusion Download Code
A. Foucart
Comprendre et évaluer les intelligences artificielles
Séminaire donné au Skeptics in the Pub Liège (décembre 2023) et Bruxelles (september 2024), et à Casa Nova (février 2024)
Di-fusion Download
A. Foucart
Intelligence artificielle: une nouvelle ère?
Séminaire donné en faculté de Droit (mars 2023)
Di-fusion Download
A. Foucart, A. Elskens, O. Debeir, C. Decaestecker
Finding the best channel for tissue segmentation in whole-slide images
Proc. 19th International Symposium on Medical Information Processing and Analysis (November 2023)
doi:10.1109/SIPAIM56729.2023.10373416 Di-fusion Download View Code
A. Elskens, A. Foucart, E. Zindy, O. Debeir, C. Decaestecker
Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images
Proc. 19th International Symposium on Medical Information Processing and Analysis (November 2023)
doi:10.1109/SIPAIM56729.2023.10373514 Di-fusion Code
A. Foucart, O. Debeir, C. Decaestecker.
Panoptic Quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology
Scientific Reports 13 (8614), 2023
doi:10.1038/s41598-023-35605-7 Download View Code
A. Foucart, O. Debeir, C. Decaestecker.
Evaluating participating methods in image analysis challenges: lessons from MoNuSAC 2020
Pattern Recognition (141), 2023
doi:10.1016/j.patcog.2023.109600 Download View Code
A. Foucart, O. Debeir, C. Decaestecker.
Shortcomings and areas for improvement in digital pathology image segmentation challenges
Computerized Medical Imaging and Graphics (103), 2023
doi:10.1016/j.compmedimag.2022.102155 Download View
A. Foucart, O. Debeir, C. Decaestecker.
Comments on "Monusac2020: A Multi-Organ Nuclei Segmentation and Classification Challenge"
IEEE Trans. Medical Imaging, 2022
doi:10.1109/TMI.2022.3156023 Download View Code
A. Foucart, O. Debeir, C. Decaestecker.
Processing multi-expert annotations in digital pathology: a study of the Gleason2019 challenge.
Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 2021
doi:10.1117/12.2604307 Download View Code
A. Foucart, O. Debeir, C. Decaestecker.
SNOW Supervision in Digital Pathology: Managing Imperfect Annotations for Segmentation in Deep Learning.
Report, 2020
doi:10.5281/zenodo.8354443 Download View Code
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
doi:10.3389/fmed.2019.00222
A. Foucart, O. Debeir, C. Decaestecker.
SNOW: Semi-Supervised, NOisy and/or Weak Data for Deep Learning in Digital Pathology.
ISBI, 2019
doi:10.1109/ISBI.2019.8759545 Download View Code
A. Foucart, O. Debeir, C. Decaestecker.
Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks.
Cloud'Tech, 2018
doi:10.1109/CloudTech.2018.8713350 Download View Code