Christine Decaestecker

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 15

Top Topics

Partially Ordered

Image Segmentation

Top Venues

Pattern Recognit.

Publications

Laura Gálvez Jiménez, Christine Decaestecker
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology. Comput. Biol. Medicine 177 (2024)
Adrien Foucart, Olivier Debeir, Christine Decaestecker
Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020. Pattern Recognit. 141 (2023)
Adrien Foucart, Arthur Elskens, Olivier Debeir, Christine Decaestecker
Finding the best channel for tissue segmentation in whole-slide images. SIPAIM (2023)
Arthur Elskens, Adrien Foucart, Egor Zindy, Olivier Debeir, Christine Decaestecker
Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images. SIPAIM (2023)
Laura Gálvez Jiménez, Alberto Franzin, Christine Decaestecker
Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology. ICBRA (2023)
Adrien Foucart, Olivier Debeir, Christine Decaestecker
Shortcomings and areas for improvement in digital pathology image segmentation challenges. Comput. Medical Imaging Graph. 103 (2023)
Adrien Foucart, Olivier Debeir, Christine Decaestecker
Comments on "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41 (4) (2022)
Jean Rosenfeld, Yves De Smet, Olivier Debeir, Christine Decaestecker
Assessing partially ordered clustering in a multicriteria comparative context. Pattern Recognit. 114 (2021)
Corentin Martens, Antonin Rovai, Daniele Bonatto, Thierry Metens, Olivier Debeir, Christine Decaestecker, Serge Goldman, Gaetan Van Simaeys
Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model? CoRR (2021)
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
Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study. CoRR (2021)
Adrien Foucart, Olivier Debeir, Christine Decaestecker
SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology. ISBI (2019)
Olivier Debeir, Justine Allard, Christine Decaestecker, Jean-Pierre Hermand
Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study. CoRR (2019)
Adrien Foucart, Olivier Debeir, Christine Decaestecker
Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks. Cloudtech (2018)
Yves-Rémi Van Eycke, Cédric Balsat, Laurine Verset, Olivier Debeir, Isabelle Salmon, Christine Decaestecker
Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach. Medical Image Anal. 49 (2018)
Yves-Rémi Van Eycke, Justine Allard, Melanie Derock, Isabelle Salmon, Olivier Debeir, Christine Decaestecker
Image normalization for quantitative immunohistochemistry in digital pathology. ISBI (2016)
Xavier Moles Lopez, Paul Barbot, Yves-Rémi Van Eycke, Laurine Verset, Anne-Laure Trépant, Lionel Larbanoix, Isabelle Salmon, Christine Decaestecker
Registration of whole immunohistochemical slide images: an efficient way to characterize biomarker colocalization. J. Am. Medical Informatics Assoc. 22 (1) (2015)
Yves-Rémi Van Eycke, Olivier Debeir, Laurine Verset, Pieter Demetter, Isabelle Salmon, Christine Decaestecker
High-throughput analysis of tissue-based biomarkers in digital pathology. EMBC (2015)
Xavier Moles Lopez, Olivier Debeir, Calliope Maris, Isabelle Roland, Isabelle Salmon, Christine Decaestecker
KI-67 hot-spots detection on glioblastoma tissue sections. ISBI (2010)
Aurore Defays, Stéphane Safin, Alexis Billon, Christine Decaestecker, Nadine Warzée
Influence d'images évocatrices et distractrices sur une tâche de jugement en acoustique des salles. IHM (2009)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. Data Knowl. Eng. 68 (3) (2009)
Olivier Debeir, Ivan Adanja, Nadine Warzée, Philippe Van Ham, Christine Decaestecker
Phase contrast image segmentation by weak watershed transform assembly. ISBI (2008)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD (2007)
Olivier Debeir, Philippe Van Ham, Robert Kiss, Christine Decaestecker
Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes. IEEE Trans. Medical Imaging 24 (6) (2005)
Marco Saerens, Patrice Latinne, Christine Decaestecker
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. Neural Comput. 14 (1) (2002)
Marco Saerens, Patrice Latinne, Christine Decaestecker
Any reasonable cost function can be used for a posteriori probability approximation. IEEE Trans. Neural Networks 13 (5) (2002)
Patrice Latinne, Olivier Debeir, Christine Decaestecker
Combining Different Methods and Numbers of Weak Decision Trees. Pattern Anal. Appl. 5 (2) (2002)
Patrice Latinne, Marco Saerens, Christine Decaestecker
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. ICML (2001)
Patrice Latinne, Olivier Debeir, Christine Decaestecker
Limiting the Number of Trees in Random Forests. Multiple Classifier Systems (2001)
Patrice Latinne, Olivier Debeir, Christine Decaestecker
Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination. Multiple Classifier Systems (2000)
Christine Decaestecker
Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealing. Pattern Recognit. 30 (2) (1997)
Thierry Van de Merckt, Christine Decaestecker
Multiple-Knowledge Representation in Concept Learning. ECML (1995)
Christine Decaestecker
NNP: a neural net classifier using prototypes. ICNN (1993)
Christine Decaestecker
Description Contrasting in Incremental Concept Formation. EWSL (1991)