Christine Decaestecker

34 papers A* 1B 1Journal 17Unranked 15

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