Geurts, P.[Pierre]
* 2005: Biomedical Image Classification with Random Subwindows and Decision Trees
* 2005: Random Subwindows for Robust Image Classification
* 2007: Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees
* 2009: machine learning approach for material detection in hyperspectral images, A
* 2015: Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge
* 2016: Towards generic image classification using tree-based learning: An extensive empirical study
* 2017: Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically, A
* 2018: Comparison of Deep Transfer Learning Strategies for Digital Pathology
* 2018: Deep Transfer Learning for Art Classification Problems
* 2021: Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images
* 2021: Sample-free white-box out-of-distribution detection for deep learning
* 2022: Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages
* 2022: Relieving Pixel-wise Labeling Effort for Pathology Image Segmentation with Self-training
Includes: Geurts, P.[Pierre] Geurts, P.
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