Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species

Development of software tools to foster collaboration with open source & open data: Cytomine (image analysis) & Shareish (citizen mutual aid)

Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

Shareish (Share & Cherish): an open-source, map-based, web platform to foster mutual aid

Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages

Relieving pixel-wise labeling effort for pathology image segmentation with self-training

Integration of MALDI FTICR MSI data with the open-source software Cytomine

Towards Setting up of an Automatic Recognition System for Vertebrae and Opercular Anomalies in Reared Gilthead Seabream(Sparus aurata)

Deep Learning approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images

Bioimage analysis workflows: Community resources to navigate through a complex ecosystem

BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows

Multi-task pre-training of deep neural networks for digital pathology

Open Practices and Resources for Collaborative Digital Pathology

Ozone-primed neutrophils promote early steps of tumor cell metastasis to lungs by enhancing their NET production

Cytomine: towards an open and collaborative software platform for digital pathology bridged to molecular investigations

UN « MASSIVE OPEN ONLINE COURSE » (MOOC) SUR DES TRAVAUX PRATIQUES EN HISTOLOGIE : UN OBJECTIF, UN OUTIL, UN PUBLIC VARIE ! RETOUR SUR UNE PREMIERE EXPERIENCE.

Comparison of deep transfer learning strategies for digital pathology

Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach.

Inflammation-Generated Extracellular Matrix Fragments Drive Lung Metastasis

Automated multimodal volume registration based on supervised 3D anatomical landmark detection

The need for careful data collection for pattern recognition in digital pathology

SLDC: an open-source workflow for object detection in multi-gigapixel images

Mettre en place des « tableaux » de bord dans l’étude de l’histologie – Une exploration du potentiel pédagogique des traces d’apprentissage

Collaborative analysis of multi-gigapixel imaging data using Cytomine

An approach for detection of glomeruli in multisite digital pathology

Towards Generic Image Classification using Tree-based Learning: an Extensive Empirical Study

Conduire un projet techno-pédagogique avec trois universités francophones belges

Détection automatique de glomérules en pathologie digitale

Automated Landmark Detection For Rigid Registration Between The Simulation-CT and the Treatment CBCT

Activation of the calcium-sensing receptor before renal ischemia/reperfusion exacerbates kidney injury

The timing of surgery after neoadjuvant radiotherapy influences tumor dissemination in a preclinical model

Genetic study of triple negative breast cancers

Phenotype Classification of Zebrafish Embryos by Supervised Learning

Zebrafish bone and general physiology are differently affected by hormones or changes in gravity.

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

Evaluation of BRCA1-related molecular features and microRNAs as prognostic factors for triple negative breast cancers.

Towards generic image classification: an extensive empirical study

HistoWeb - Toward a new learning ecology for histology

HistoWeb - Transforming a professional bioimages platform into a learning tool for histology

Does neoadjuvant radiotherapy and the timing of surgery modify metastatic dissemination?

A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning

ACTIVATION OF THE CALCIUM-SENSING RECEPTOR BEFORE RENAL ISCHEMIA/REPERFUSION EXACERBATES KIDNEY INJURY IN MOUSE

Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: A tree-based algorithm

Evaluation of CellSolutions BestPrep(R) Automated Thin-Layer Liquid-Based Cytology Papanicolaou Slide Preparation and BestCyte(R) Cell Sorter Imaging System.

Automatic Landmark Detection in 2D images: A tree-based approach with multiresolution pixel features

A rich internet application for remote visualization and collaborative annotation of digital slide images in histology and cytology

Automated Processing of Zebrafish Imaging Data: A Survey

Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval

Structural Determinants of Specificity and Catalytic Mechanism in mammalian 25-kDa Thiamine Triphosphatase

Identification of protein biomarkers associated with cardiac ischemia by a proteomic approach.

Phenotype Classification of Zebrafish Embryos by Supervised Learning

A web-based framework for visualization, annotation, and automatic exploitation of high-resolution bioimages using tree-based machine learning methods

Phenotype Classification of Zebrafish Embryos by Supervised Learning

High-density lipoprotein proteome dynamics in human endotoxemia.

Phenotype Classification of Zebrafish Embryos by Supervised Learning

Zebrafish Skeleton Measurements using Image Analysis and Machine Learning Methods

Automatic localization of interest points in zebrafish images with tree-based methods

Discovery and biochemical characterisation of four novel biomarkers for osteoarthritis.

Incremental Indexing and Distributed Image Search using Shared Randomized Vocabularies

Oligodendrocyte development and myelinogenesis are not impaired by high concentrations of phenylalanine or its metabolites.

Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments

Fast Multi-Class Image Annotation with Random Subwindows and Multiple Output Randomized Trees

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Protéomique par SELDI-TOF-MS des maladies inflammatoires articulaires: identification des protéines S100 comme protéines d'intérêt

P2X1 Ion Channels Promote Neutrophil Chemotaxis through Rho Kinase Activation

A Machine Learning Approach for Material Detection in Hyperspectral Images

Biomarker discovery in asthma-related inflammation and remodeling.

Monomeric calgranulins measured by SELDI-TOF mass spectrometry and calprotectin measured by ELISA as biomarkers in arthritis

Proteomics for prediction and characterization of response to infliximab in Crohn's disease: a pilot study.

A novel formulation of inhaled doxycycline reduces allergen-induced inflammation, hyperresponsiveness and remodeling by matrix metalloproteinases and cytokines modulation in a mouse model of asthma

PREDetector: A new tool to identify regulatory elements in bacterial genomes

Nouvelles approches dans la prise en charge de l'infection a VIH.

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Random subwindows and extremely randomized trees for image classification in cell biology

Reinforcement learning with raw image pixels as input state

Biological Image Classification with Random Subwindows and Extra-Trees

Segment and combine: a generic approach for supervised learning of invariant classifiers from topologically structured data

Decision Trees and Random Subwindows for Object Recognition

Classification automatique d'images par arbres de d́ecision

Random Subwindows for Robust Image Classification

Biomedical image classification with random subwindows and decision trees

A generic approach for image classification based on decision tree ensembles and local sub-windows

Une méthode générique pour la classification automatique d'images à partir des pixels

An empirical comparison of machine learning algorithms for generic image classification