Christine Decaestecker

According to our database, Christine Decaestecker authored at least 32 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020.

Adrien Foucart, Olivier Debeir, Christine Decaestecker

Pattern Recognit., September, 2023

Shortcomings and areas for improvement in digital pathology image segmentation challenges.

Adrien Foucart, Olivier Debeir, Christine Decaestecker

Comput. Medical Imaging Graph., 2023

Finding the best channel for tissue segmentation in whole-slide images.

Adrien Foucart, Arthur Elskens, Olivier Debeir, Christine Decaestecker

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images.

Arthur Elskens, Adrien Foucart, Egor Zindy, Olivier Debeir, Christine Decaestecker

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology.

Laura Gálvez Jiménez, Alberto Franzin, Christine Decaestecker

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

2022

Comments on "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".

Adrien Foucart, Olivier Debeir, Christine Decaestecker

IEEE Trans. Medical Imaging, 2022

2021

Assessing partially ordered clustering in a multicriteria comparative context.

Jean Rosenfeld, Yves De Smet, Olivier Debeir, Christine Decaestecker

Pattern Recognit., 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

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

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

SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology.

Adrien Foucart, Olivier Debeir, Christine Decaestecker

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks.

Adrien Foucart, Olivier Debeir, Christine Decaestecker

Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2016

Image normalization for quantitative immunohistochemistry in digital pathology.

Yves-Rémi Van Eycke, Justine Allard, Melanie Derock, Isabelle Salmon, Olivier Debeir, Christine Decaestecker

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

High-throughput analysis of tissue-based biomarkers in digital pathology.

Yves-Rémi Van Eycke, Olivier Debeir, Laurine Verset, Pieter Demetter, Isabelle Salmon, Christine Decaestecker

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2010

KI-67 hot-spots detection on glioblastoma tissue sections.

Xavier Moles Lopez, Olivier Debeir, Calliope Maris, Isabelle Roland, Isabelle Salmon, Christine Decaestecker

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

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

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

Proceedings of the 21st International Conference of the Association Francophone d'Interaction Homme-Machine, 2009

2008

Phase contrast image segmentation by weak watershed transform assembly.

Olivier Debeir, Ivan Adanja, Nadine Warzée, Philippe Van Ham, Christine Decaestecker

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Graph Nodes Clustering Based on the Commute-Time Kernel.

Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2005

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

2002

Any reasonable cost function can be used for a posteriori probability approximation.

Marco Saerens, Patrice Latinne, Christine Decaestecker

IEEE Trans. Neural Networks, 2002

Combining Different Methods and Numbers of Weak Decision Trees.

Patrice Latinne, Olivier Debeir, Christine Decaestecker

Pattern Anal. Appl., 2002

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure.

Marco Saerens, Patrice Latinne, Christine Decaestecker

Neural Comput., 2002

2001

Limiting the Number of Trees in Random Forests.

Patrice Latinne, Olivier Debeir, Christine Decaestecker

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

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

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination.

Patrice Latinne, Olivier Debeir, Christine Decaestecker

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

1997

Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealing.

Christine Decaestecker

Pattern Recognit., 1997

1995

Multiple-Knowledge Representation in Concept Learning.

Thierry Van de Merckt, Christine Decaestecker

Proceedings of the Machine Learning: ECML-95, 1995

1993

NNP: a neural net classifier using prototypes.

Christine Decaestecker

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991

Description Contrasting in Incremental Concept Formation.

Christine Decaestecker

Proceedings of the Machine Learning, 1991