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Christine Decaestecker
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- affiliation: Université libre de Bruxelles, Belgium
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2020 – today
- 2024
- [j13]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: 108586 (2024) - [i4]Laura Gálvez Jiménez, Christine Decaestecker:
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology. CoRR abs/2410.14365 (2024) - 2023
- [j12]Adrien Foucart, Olivier Debeir, Christine Decaestecker:
Shortcomings and areas for improvement in digital pathology image segmentation challenges. Comput. Medical Imaging Graph. 103: 102155 (2023) - [j11]Adrien Foucart, Olivier Debeir, Christine Decaestecker:
Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020. Pattern Recognit. 141: 109600 (2023) - [c17]Laura Gálvez Jiménez, Alberto Franzin, Christine Decaestecker:
Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology. ICBRA 2023: 27-33 - [c16]Arthur Elskens, Adrien Foucart, Egor Zindy, Olivier Debeir, Christine Decaestecker:
Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images. SIPAIM 2023: 1-4 - [c15]Adrien Foucart, Arthur Elskens, Olivier Debeir, Christine Decaestecker:
Finding the best channel for tissue segmentation in whole-slide images. SIPAIM 2023: 1-4 - 2022
- [j10]Adrien Foucart, Olivier Debeir, Christine Decaestecker:
Comments on "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41(4): 997-999 (2022) - 2021
- [j9]Jean Rosenfeld, Yves De Smet, Olivier Debeir, Christine Decaestecker:
Assessing partially ordered clustering in a multicriteria comparative context. Pattern Recognit. 114: 107850 (2021) - [i3]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 abs/2102.01719 (2021) - [i2]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 abs/2111.13404 (2021)
2010 – 2019
- 2019
- [c14]Adrien Foucart, Olivier Debeir, Christine Decaestecker:
SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology. ISBI 2019: 1869-1872 - [i1]Olivier Debeir, Justine Allard, Christine Decaestecker, Jean-Pierre Hermand:
Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study. CoRR abs/1903.03044 (2019) - 2018
- [j8]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: 35-45 (2018) - [c13]Adrien Foucart, Olivier Debeir, Christine Decaestecker:
Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks. Cloudtech 2018: 1-6 - 2016
- [c12]Yves-Rémi Van Eycke, Justine Allard, Melanie Derock, Isabelle Salmon, Olivier Debeir, Christine Decaestecker:
Image normalization for quantitative immunohistochemistry in digital pathology. ISBI 2016: 795-798 - 2015
- [j7]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): 86-99 (2015) - [c11]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: 7732-7735 - 2010
- [c10]Xavier Moles Lopez, Olivier Debeir, Calliope Maris, Isabelle Roland, Isabelle Salmon, Christine Decaestecker:
KI-67 hot-spots detection on glioblastoma tissue sections. ISBI 2010: 149-152
2000 – 2009
- 2009
- [j6]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): 338-361 (2009) - [c9]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: 241-248 - 2008
- [c8]Olivier Debeir, Ivan Adanja, Nadine Warzée, Philippe Van Ham, Christine Decaestecker:
Phase contrast image segmentation by weak watershed transform assembly. ISBI 2008: 724-727 - 2007
- [c7]Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens:
Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD 2007: 1037-1045 - 2005
- [j5]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): 697-711 (2005) - 2002
- [j4]Marco Saerens, Patrice Latinne, Christine Decaestecker:
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. Neural Comput. 14(1): 21-41 (2002) - [j3]Patrice Latinne, Olivier Debeir, Christine Decaestecker:
Combining Different Methods and Numbers of Weak Decision Trees. Pattern Anal. Appl. 5(2): 201-209 (2002) - [j2]Marco Saerens, Patrice Latinne, Christine Decaestecker:
Any reasonable cost function can be used for a posteriori probability approximation. IEEE Trans. Neural Networks 13(5): 1204-1210 (2002) - 2001
- [c6]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: 298-305 - [c5]Patrice Latinne, Olivier Debeir, Christine Decaestecker:
Limiting the Number of Trees in Random Forests. Multiple Classifier Systems 2001: 178-187 - 2000
- [c4]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: 200-209
1990 – 1999
- 1997
- [j1]Christine Decaestecker:
Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealing. Pattern Recognit. 30(2): 281-288 (1997) - 1995
- [c3]Thierry Van de Merckt, Christine Decaestecker:
Multiple-Knowledge Representation in Concept Learning. ECML 1995: 200-217 - 1993
- [c2]Christine Decaestecker:
NNP: a neural net classifier using prototypes. ICNN 1993: 822-O - 1991
- [c1]Christine Decaestecker:
Description Contrasting in Incremental Concept Formation. EWSL 1991: 220-233
Coauthor Index
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last updated on 2024-11-28 21:27 CET by the dblp team
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