Christine Decaestecker

Christine Decaestecker

Université Libre de Bruxelles

H-index: 66

Europe-Belgium

About Christine Decaestecker

Christine Decaestecker, With an exceptional h-index of 66 and a recent h-index of 31 (since 2020), a distinguished researcher at Université Libre de Bruxelles, specializes in the field of Machine Learning, Data analysis, Digital pathology, Biomarker.

His recent articles reflect a diverse array of research interests and contributions to the field:

SMAD4 Positive Pancreatic Ductal Adenocarcinomas Are Associated with Better Outcomes in Patients Receiving FOLFIRINOX-Based Neoadjuvant Therapy

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

POS1424 AQUAPORIN EXPRESSION IN LUPUS NEPHRITIS: INSIGHTS INTO TUBULAR PATHOLOGY

Correction: VEGFR1 and VEGFR2 Involvement in Extracellular Galectin-1-and Galectin-3-Induced Angiogenesis

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

Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology

Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer

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

Christine Decaestecker Information

University

Position

LISA - Ecole polytechnique de Bruxelles - - FNRS

Citations(all)

14049

Citations(since 2020)

3958

Cited By

11242

hIndex(all)

66

hIndex(since 2020)

31

i10Index(all)

213

i10Index(since 2020)

96

Email

University Profile Page

Université Libre de Bruxelles

Google Scholar

View Google Scholar Profile

Christine Decaestecker Skills & Research Interests

Machine Learning

Data analysis

Digital pathology

Biomarker

Top articles of Christine Decaestecker

Title

Journal

Author(s)

Publication Date

SMAD4 Positive Pancreatic Ductal Adenocarcinomas Are Associated with Better Outcomes in Patients Receiving FOLFIRINOX-Based Neoadjuvant Therapy

Cancers

Marie-Lucie Racu

Dana Bernardi

Aniss Chaouche

Egor Zindy

Julie Navez

...

2023/7/25

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

Laura Galvez Jiménez

Alberto Franzin

Christine Decaestecker

2023/9/22

POS1424 AQUAPORIN EXPRESSION IN LUPUS NEPHRITIS: INSIGHTS INTO TUBULAR PATHOLOGY

Maxime Melchior

Marie Van Eycken

Charles Nicaise

Thomas Duquesne

Léa Longueville

...

2023/6/1

Correction: VEGFR1 and VEGFR2 Involvement in Extracellular Galectin-1-and Galectin-3-Induced Angiogenesis

Plos one

Nicky D’Haene

Sébastien Sauvage

Calliope Maris

Ivan Adanja

Marie Le Mercier

...

2023/12/7

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

Pattern Recognition

Adrien Foucart

Olivier Debeir

Christine Decaestecker

2023/11

Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology

Scientific Reports

Adrien Foucart

Olivier Debeir

Christine Decaestecker

2023/5/27

Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer

Nature

Philippe A Cassier

Raul Navaridas

Melanie Bellina

Nicolas Rama

Benjamin Ducarouge

...

2023/8/10

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

Arthur Elskens

Adrien Foucart

Egor Zindy

Olivier Debeir

Christine Decaestecker

2023/11/15

SARS-Cov-2 infection and neuropathological findings: a report of 18 cases and review of the literature

Laetitia Lebrun

Lara Absil

Myriam Remmelink

Ricardo De Mendonça

Nicky D’Haene

...

2023/5/10

Pharmacological targeting of netrin-1 inhibits EMT in cancer

Nature

Justine Lengrand

Ievgenia Pastushenko

Sebastiaan Vanuytven

Yura Song

David Venet

...

2023/8/10

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

Adrien Foucart

Arthur Elskens

Olivier Debeir

Christine Decaestecker

2023/11/15

Fibroblast Activation Protein Inhibitor, a Promising Radiotracer in Fibrogenesis

Philomčne Lavis

Julien Pingitore

Gilles Doumont

A Garabet

Gaėtan Van Simaeys

...

2023/5

Comparison between manual and automated assessment of Ki-67 in breast carcinoma: test of a simple method in daily practice

Technology in cancer research & treatment

Xavier Catteau

Egor Zindy

Sarah Bouri

Jean-Christophe Noël

Isabelle Salmon

...

2023/8

Usefulness of FAPα assessment in bronchoalveolar lavage as a marker of fibrogenesis: results of a preclinical study and first report in patients with idiopathic pulmonary fibrosis

Respiratory research

Philomène Lavis

Julien Pingitore

Gilles Doumont

Ani Garabet

Gaetan Van Simaeys

...

2023/10/25

Abstract B043: Impact of SMAD4 loss in patients with pancreatic ductal adenocarcinoma receiving neoadjuvant therapy

Cancer Research

Marie-Lucie Racu

Dana Bernardi

Aniss Chaouche

Egor Zindy

Julie Navez

...

2022/11/15

Involvement of the chemerin-ChemR23 system in severe COVID-19 patients

P Lavis

S Morra

C Orte Cano

N Albayrak

V Corbière

...

2022/9/4

Chemerin plasma levels are increased in COVID-19 patients and are an independent risk factor of mortality

Frontiers in immunology

Philomène Lavis

Sofia Morra

Carmen Orte Cano

Nurhan Albayrak

Véronique Corbière

...

2022/8/12

Deep learning for reaction-diffusion glioma growth modeling: Towards a fully personalized model?

Cancers

Corentin Martens

Antonin Rovai

Daniele Bonatto

Thierry Metens

Olivier Debeir

...

2022/5/20

Comments on “MoNuSAC2020: a multi-organ nuclei segmentation and classification challenge”

IEEE Transactions on Medical Imaging

Adrien Foucart

Olivier Debeir

Christine Decaestecker

2022/4/1

The Role of SMAD4 Inactivation in Epithelial–Mesenchymal Plasticity of Pancreatic Ductal Adenocarcinoma: The Missing Link?

Marie-Lucie Racu

Laetitia Lebrun

Andrea Alex Schiavo

Claude Van Campenhout

Sarah De Clercq

...

2022/2/15

See List of Professors in Christine Decaestecker University(Université Libre de Bruxelles)