Christine Decaestecker

Orcid: 0000-0002-5495-1931

Affiliations:
  • Université libre de Bruxelles, Belgium


According to our database1, Christine Decaestecker authored at least 33 papers between 1991 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology.
Comput. Biol. Medicine, 2024

2023
Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020.
Pattern Recognit., September, 2023

Shortcomings and areas for improvement in digital pathology image segmentation challenges.
Comput. Medical Imaging Graph., 2023

Finding the best channel for tissue segmentation in whole-slide images.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images.
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.
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".
IEEE Trans. Medical Imaging, 2022

2021
Assessing partially ordered clustering in a multicriteria comparative context.
Pattern Recognit., 2021

Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model?
CoRR, 2021

Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study.
CoRR, 2021

2019
Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study.
CoRR, 2019

SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology.
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.
Medical Image Anal., 2018

Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks.
Proceedings of the 2018 4th International Conference on Cloud Computing Technologies and Applications, 2018

2016
Image normalization for quantitative immunohistochemistry in digital pathology.
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.
J. Am. Medical Informatics Assoc., 2015

High-throughput analysis of tissue-based biomarkers in digital pathology.
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.
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.
Data Knowl. Eng., 2009

Influence d'images évocatrices et distractrices sur une tâche de jugement en acoustique des salles.
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.
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.
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.
IEEE Trans. Medical Imaging, 2005

2002
Any reasonable cost function can be used for a posteriori probability approximation.
IEEE Trans. Neural Networks, 2002

Combining Different Methods and Numbers of Weak Decision Trees.
Pattern Anal. Appl., 2002

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure.
Neural Comput., 2002

2001
Limiting the Number of Trees in Random Forests.
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.
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.
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.
Pattern Recognit., 1997

1995
Multiple-Knowledge Representation in Concept Learning.
Proceedings of the Machine Learning: ECML-95, 1995

1993
NNP: a neural net classifier using prototypes.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991
Description Contrasting in Incremental Concept Formation.
Proceedings of the Machine Learning, 1991


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