van Sloun, Ruud J. G.
- A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
2021/10/04 by Huijben, Iris A. M., Kool, Wouter, Paulus, Max B. +1 · 15 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Unfolded Robust PCA with Application to Clutter Suppression in\n Ultrasound
2018/11/20 by Oren Solomon, Regev Cohen, Solomon, Oren +13 · 7 citations
Engineering · Medicine · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Ultrasound Imaging and Elastography #Ultrasound and Hyperthermia Applications #electronic engineering #information engineering
- Latent-KalmanNet: Learned Kalman Filtering for Tracking from High-Dimensional Signals
2023/04/16 by Itay Buchnik, Damiano Steger, Buchnik, Itay +9 · 8 citations
Computer Science · #FOS: Electrical engineering #Signal Processing (eess.SP) #Target Tracking and Data Fusion in Sensor Networks #Time Series Analysis and Forecasting #electronic engineering #information engineering
- DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
2021/09/22 by Merkofer, Julian P., Revach, Guy, Shlezinger, Nir +2 · 6 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Adaptive Ultrasound Beamforming using Deep Learning
2019/09/23 by Ben Luijten, Luijten, Ben, Regev Cohen +11 · 5 citations
Computer Science · Engineering · Medicine · #FOS: Electrical engineering #Signal Processing (eess.SP) #Speech and Audio Processing #Ultrasonics and Acoustic Wave Propagation #Ultrasound Imaging and Elastography #electronic engineering #information engineering
- Residual Quantization with Implicit Neural Codebooks
2024/01/26 by Huijben, Iris A. M., Douze, Matthijs, Muckley, Matthew +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Removing Structured Noise with Diffusion Models
2023/01/20 by Tristan S. W. Stevens, Stevens, Tristan S. W., Hans van Gorp +11 · 4 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
- SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
2023/06/04 by Dor H. Shmuel, Julian P. Merkofer, Shmuel, Dor H. +7 · 4 citations
Computer Science · Engineering · #Direction-of-Arrival Estimation Techniques #Speech and Audio Processing #Structural Health Monitoring Techniques
- RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint)
2021/10/10 by Revach, Guy, Ni, Xiaoyong, Shlezinger, Nir +2 · 3 citations
#FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
- Super-resolution Ultrasound Localization Microscopy through Deep\n Learning
2018/04/20 by Ruud J. G. van Sloun, van Sloun, Ruud J. G., Oren Solomon +11 · 2 citations
Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Ultrasound Imaging and Elastography #Ultrasound and Hyperthermia Applications #electronic engineering #information engineering
- Unsupervised Learned Kalman Filtering
2021/10/18 by Revach, Guy, Shlezinger, Nir, Locher, Timur +3 · 2 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
2021/10/10 by Itzik Klein, Klein, Itzik, Guy Revach +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Neural Networks and Applications #Signal Processing (eess.SP) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
- A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
2023/05/16 by Dennis van de Sande, Julian P. Merkofer, van de Sande, Dennis M. J. +15 · 1 citation
Medicine · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced MRI Techniques and Applications #Electron Spin Resonance Studies #Atomic and Subatomic Physics Research
- Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
2022/08/09 by Valiuddin, M. M. Amaan, Viviers, Christiaan G. A., van Sloun, Ruud J. G. +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences