Gijs van Tulder
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Advanced Neural Network Applications, Cerebrovascular and Carotid Artery Diseases, Acute Ischemic Stroke Management, Lysosomal Storage Disorders Research
Most-Cited Works
- → Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines(2016)140 cited
- → Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation(2019)136 cited
- → Why Does Synthesized Data Improve Multi-sequence Classification?(2015)87 cited
- → Learning Cross-Modality Representations From Multi-Modal Images(2018)69 cited
- → An end-to-end approach to segmentation in medical images with CNN and posterior-CRF(2021)64 cited
- → Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features(2011)26 cited
- → Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine(2014)24 cited
- → Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT(2021)22 cited
- → Diaphragmatic dysfunction in neuromuscular disease, an MRI study(2021)18 cited
- → Chest MRI to diagnose early diaphragmatic weakness in Pompe disease(2021)14 cited