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
Adaptive-CS-Net: FastMRI with Adaptive Intelligence
Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi +9
Adaptive intelligence aims at empowering machine learning techniques with the extensive use of domain knowledge. In this work, we present the application of adaptive intelligence t…
Analysis of CNN-based remote-PPG to understand limitations and sensitivities
Qi Zhan, Wenjin Wang, Gerard de Haan
Deep learning based on Convolutional Neural Network (CNN) has shown promising results in various vision-based applications, recently also in camera-based vital signs monitoring. Th…
Adaptive Ultrasound Beamforming using Deep Learning
Ben Luijten, Regev Cohen, Frederik J. de Bruijn +4
Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal…
Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
Adrian Albert, Jasleen Kaur, Emanuele Strano +1
Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of…
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
Jonathan Rubin, S. Mazdak Abulnaga
Infarcted brain tissue resulting from acute stroke readily shows up as hyperintense regions within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed th…
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders
Moti Freiman, Ravindra Manjeshwar, Liran Goshen
Deep sparse auto-encoders with mixed structure regularization (MSR) in addition to explicit sparsity regularization term and stochastic corruption of the input data with Gaussian n…