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Raymond N. J. Veldhuis

University of Twente

336

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3532

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Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms.

2022 J. Digit. Imaging
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Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.

2022 Mach. Learn.
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Anatomy-aided deep learning for medical image segmentation: a review.

2021 Physics in Medicine and Biology
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A survey of face recognition techniques under occlusion

2021 IET Biometrics
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Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders

2021 Machine Learning
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Automated color detection in orchids using color labels and deep learning.

2021 PLOS ONE
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P42.02 Evaluating the Feasibility of a Deep Learning-Based Computer-Aided Detection System for Lung Nodule Detection in a Lung Cancer Screening Program

2021 Journal of Thoracic Oncology
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A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics

2021 IET Biometrics
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A Face Recognition System's Worst Morph Nightmare, Theoretically.

2021 arXiv: Computer Vision and Pattern Recognition
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Occlusion‐invariant face recognition using simultaneous segmentation

2021 IET Biometrics
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