Ir. Gijs van Tulder
Office: Na 26-16
Phone: +31-10-7044118
Email: g.vantulder@erasmusmc.nl
Website: https://vantulder.net/
Curriculum Vitae
I work on transfer learning and feature learning, and their applications in model-based medical image analysis. I am interested in the theoretical and practical aspects of machine learning and computer vision.
I am currently collaborating with the Erasmus MC lung imaging group on image analysis methods for the VIPS-MRI and Pompe projects.
Research lines
Model-based Medical Image Analysis
Projects
Representation and transfer learning for medical image analysis
Publications
Journal Papers
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G. van Tulder and M. de Bruijne, Learning Cross-Modality Representations from Multi-Modal Images, IEEE Transactions on Medical Imaging, 2018
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G. van Tulder and M. de Bruijne, Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines, IEEE Transactions on Medical Imaging, 2016
Conference Papers
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G. van Tulder and M. de Bruijne, Representation Learning for Cross-Modality Classification, MICCAI 2016 Workshop on Medical Computer Vision, LNCS 10081, 2017
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G. van Tulder and M. de Bruijne, Why Does Synthesized Data Improve Multi-Sequence Classification?, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, LNCS 9349, 2015
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G. van Tulder and M. de Bruijne, Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine, MICCAI 2014 Workshop on Medical Computer Vision: Algorithms for Big Data, LNCS 8848, 2014