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Pierre Geurts

Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species
Relieving pixel-wise labeling effort for pathology image segmentation with self-training
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages
Deep Learning approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images
Multi-task pre-training of deep neural networks for digital pathology
Anatomical landmark detection algorithms
Image classification and object recognition algorithms
New Cytomine modules for user behavior analytics in digital pathology
Comparison of Deep Transfer Learning Strategies for Digital Pathology
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
Towards generic image classification using tree-based learning: An extensive empirical study
Collaborative analysis of multi-gigapixel imaging data using Cytomine
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge
Phenotype Classification of Zebrafish Embryos by Supervised Learning
Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval

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