Description Contrasting in Incremental Concept Formation. - Christine Decaestecker (EWSL, 1991)

NNP: a neural net classifier using prototypes. - Christine Decaestecker (ICNN, 1993)

Multiple-Knowledge Representation in Concept Learning. - Thierry Van de Merckt; Christine Decaestecker (ECML, 1995)

Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealing. - Christine Decaestecker (Pattern Recognit., 1997)

Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Multiple Classifier Systems, 2000)

Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing. - Patrice Latinne; Marco Saerens; Christine Decaestecker (ICML, 2001)

Limiting the Number of Trees in Random Forests. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Multiple Classifier Systems, 2001)

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. - Marco Saerens; Patrice Latinne; Christine Decaestecker (Neural Comput., 2002)

Combining Different Methods and Numbers of Weak Decision Trees. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Pattern Anal. Appl., 2002)

Any reasonable cost function can be used for a posteriori probability approximation. - Marco Saerens; Patrice Latinne; Christine Decaestecker (IEEE Trans. Neural Networks, 2002)

Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes. - Olivier Debeir; Philippe Van Ham; Robert Kiss; Christine Decaestecker (IEEE Trans. Medical Imaging, 2005)

Graph Nodes Clustering Based on the Commute-Time Kernel. - Luh Yen; François Fouss; Christine Decaestecker; Pascal Francq; Marco Saerens (PAKDD, 2007)

Phase contrast image segmentation by weak watershed transform assembly. - Olivier Debeir; Ivan Adanja; Nadine Warzée; Philippe Van Ham; Christine Decaestecker (ISBI, 2008)

Influence d'images évocatrices et distractrices sur une tâche de jugement en acoustique des salles. - Aurore Defays; Stéphane Safin; Alexis Billon; Christine Decaestecker; Nadine Warzée (IHM, 2009)

Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. - Luh Yen; François Fouss; Christine Decaestecker; Pascal Francq; Marco Saerens (Data Knowl. Eng., 2009)

KI-67 hot-spots detection on glioblastoma tissue sections. - Xavier Moles Lopez; Olivier Debeir; Calliope Maris; Isabelle Roland; Isabelle Salmon; Christine Decaestecker (ISBI, 2010)

High-throughput analysis of tissue-based biomarkers in digital pathology. - Yves-Rémi Van Eycke; Olivier Debeir; Laurine Verset; Pieter Demetter; Isabelle Salmon; Christine Decaestecker (EMBC, 2015)

Registration of whole immunohistochemical slide images: an efficient way to characterize biomarker colocalization. - Xavier Moles Lopez; Paul Barbot; Yves-Rémi Van Eycke; Laurine Verset; Anne-Laure Trépant; Lionel Larbanoix; Isabelle Salmon; Christine Decaestecker (J. Am. Medical Informatics Assoc., 2015)

Image normalization for quantitative immunohistochemistry in digital pathology. - Yves-Rémi Van Eycke; Justine Allard; Melanie Derock; Isabelle Salmon; Olivier Debeir; Christine Decaestecker (ISBI, 2016)

Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks. - Adrien Foucart; Olivier Debeir; Christine Decaestecker (Cloudtech, 2018)

Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach. - Yves-Rémi Van Eycke; Cédric Balsat; Laurine Verset; Olivier Debeir; Isabelle Salmon; Christine Decaestecker (Medical Image Anal., 2018)

SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology. - Adrien Foucart; Olivier Debeir; Christine Decaestecker (ISBI, 2019)

Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study. - Olivier Debeir; Justine Allard; Christine Decaestecker; Jean-Pierre Hermand (CoRR, 2019)

Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study. - Corentin Martens; Laetitia Lebrun; Christine Decaestecker; Thomas Vandamme; Yves-Rémi Van Eycke; Antonin Rovai; Thierry Metens; Olivier Debeir; Serge Goldman; Isabelle Salmon; Gaetan Van Simaeys (CoRR, 2021)

Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model? - Corentin Martens; Antonin Rovai; Daniele Bonatto; Thierry Metens; Olivier Debeir; Christine Decaestecker; Serge Goldman; Gaetan Van Simaeys (CoRR, 2021)

Assessing partially ordered clustering in a multicriteria comparative context. - Jean Rosenfeld; Yves De Smet; Olivier Debeir; Christine Decaestecker (Pattern Recognit., 2021)

Comments on "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". - Adrien Foucart; Olivier Debeir; Christine Decaestecker (IEEE Trans. Medical Imaging, 2022)

Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology. - Laura Gálvez Jiménez; Alberto Franzin; Christine Decaestecker (ICBRA, 2023)

Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images. - Arthur Elskens; Adrien Foucart; Egor Zindy; Olivier Debeir; Christine Decaestecker (SIPAIM, 2023)

Finding the best channel for tissue segmentation in whole-slide images. - Adrien Foucart; Arthur Elskens; Olivier Debeir; Christine Decaestecker (SIPAIM, 2023)

Shortcomings and areas for improvement in digital pathology image segmentation challenges. - Adrien Foucart; Olivier Debeir; Christine Decaestecker (Comput. Medical Imaging Graph., 2023)

Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020. - Adrien Foucart; Olivier Debeir; Christine Decaestecker (Pattern Recognit., 2023)

Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology. - Laura Gálvez Jiménez; Christine Decaestecker (Comput. Biol. Medicine, 2024)