215 citations
- Eindhoven University of TechnologyNL12 papers
- Philips (Netherlands)NL9 papers
- NXP (Netherlands)NL8 papers
- Oregon State UniversityUS3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Chinese University of Hong KongHK2 papers
- Holst Centre (Netherlands)NL2 papers
- Iran University of Science and TechnologyIR2 papers
- Leiden University Medical CenterNL2 papers
- Universität GreifswaldDE2 papers
- Université Côte d'AzurFR2 papers
- University of Hong KongHK2 papers
6 papers · 1 filter
Automatic 2D-3D Registration without Contrast Agent during Neurovascular Interventions
Robert Homan, René van Rijsselt, Daniel Ruijters
Fusing live fluoroscopy images with a 3D rotational reconstruction of the vasculature allows to navigate endovascular devices in minimally invasive neuro-vascular treatment, while…
Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network
Yu-He Zhang, Saeed Babaeizadeh
This paper proposes a two-dimensional (2D) bidirectional long short-term memory generative adversarial network (GAN) to produce synthetic standard 12-lead ECGs corresponding to fou…
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
Aleksandr Belov, Joel Stadelmann, Sergey Kastryulin +1
We went below the MRI acceleration factors (a.k.a., k-space undersampling) reported by all published papers that reference the original fastMRI challenge, and then considered power…
Uncertainty-based method for improving poorly labeled segmentation datasets
Ekaterina Redekop, Alexey Chernyavskiy
The success of modern deep learning algorithms for image segmentation heavily depends on the availability of large datasets with clean pixel-level annotations (masks), where the ob…
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
Rishabh Goyal, Joaquin Vanschoren, Victor van Acht +1
Convolutional Neural Networks (CNNs) have proven to be a powerful state-of-the-art method for image classification tasks. One drawback however is the high computational complexity…
Measurement of breast-tissue x-ray attenuation by spectral mammography: first results on cyst fluid
Erik Fredenberg, David R. Dance, Paula Willsher +4
Knowledge of x-ray attenuation is essential for developing and evaluating x-ray imaging technologies. For instance, techniques to better characterize cysts at mammography screening…