Ruud J. G. van Sloun

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 86

Top Topics

Ultrasound Imaging

Top Venues

IEEE Trans. Medical Imaging

IEEE Trans. Signal Process.

Publications

Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings
Anomalous Change Point Detection Using Probabilistic Predictive Coding. CoRR (2024)
Vidya Prasad, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti
ProactiV: Studying Deep Learning Model Behavior Under Input Transformations. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti
The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Trans. Vis. Comput. Graph. 30 (2) (2024)
Oisin Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun
Active Diffusion Subsampling. CoRR (2024)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. 73 (2) (2024)
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR (2023)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR (2023)
Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. CoRR (2023)
Fons Schipper, Ruud J. G. van Sloun, Angela Grassi, Sebastiaan Overeem, Pedro Fonseca
A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep. Biomed. Signal Process. Control. 83 (2023)
Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. ICASSP (2023)
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP (2023)
Ben Luijten, Boudewine W. Ossenkoppele, Nico de Jong, Martin D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging. ICASSP (2023)
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
J. Overdevest, A. G. C. Koppelaar, M. J. G. Bekooij, J. Youn, Ruud J. G. van Sloun
Signal Reconstruction for FMCW Radar Interference Mitigation Using Deep Unfolding. ICASSP (2023)
Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
RTSNet: Learning to Smooth in Partially Known State-Space Models. IEEE Trans. Signal Process. 71 (2023)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP (2023)
Tristan S. W. Stevens, Jean-Luc Robert, Faik C. Meral Jason Yu, Jun Seob Shin, Ruud J. G. van Sloun
Removing Structured Noise with Diffusion Models. CoRR (2023)
Koen C. E. van de Camp, Hamdi Joudeh, Duarte J. Antunes, Ruud J. G. van Sloun
Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain. ICASSP (2023)
Damjan Vukovic, Andrew Wang, Maria Antico, Marian Steffens, Igor Ruvinov, Ruud J. G. van Sloun, David Canty, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP (2023)
Iris A. M. Huijben, Arthur A. Nijdam, Lieke W. A. Hermans, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings. EMBC (2022)
Luuk van Knippenberg, Ruud J. G. van Sloun, Massimo Mischi, Joerik de Ruijter, Richard G. P. Lopata, R. Arthur Bouwman
Unsupervised domain adaptation method for segmenting cross-sectional CCA images. Comput. Methods Programs Biomed. 225 (2022)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP (2022)
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP (2022)
Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Task-Based Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70 (2022)
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. ICASSP (2022)
Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Task-Based Analog-to-Digital Conversion. CoRR (2022)
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. IEEE Trans. Signal Process. 70 (2022)
Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. ICASSP (2022)
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. CoRR (2022)
Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
Ultrasound Signal Processing: From Models to Deep Learning. CoRR (2022)
Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram
Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging. ICASSP (2022)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR (2022)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI (2022)
Iris A. M. Huijben, Arthur A. Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. CoRR (2022)
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
Unsupervised Learned Kalman Filtering. EUSIPCO (2022)
Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun
Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations. ISCAS (2022)
Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
Image Denoising with Deep Unfolding And Normalizing Flows. ICASSP (2022)
Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings
Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP (2022)
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. ICASSP (2022)
Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
Deep Unfolding With Normalizing Flow Priors for Inverse Problems. IEEE Trans. Signal Process. 70 (2022)
Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
Kalmannet: Data-Driven Kalman Filtering. ICASSP (2021)
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. CoRR (2021)
Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Domenico Filomena, Luciano Agati, Patrick Houthuizen, Massimo Mischi
Blood flow patterns estimation in the left ventricle with low-rate 2D and 3D dynamic contrast-enhanced ultrasound. Comput. Methods Programs Biomed. 198 (2021)
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adria Lopez Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. CoRR (2021)
Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning. IEEE Trans. Medical Imaging 40 (3) (2021)
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. CoRR (2021)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI (2021)
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR (2021)
Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun
Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias. BioCAS (2021)
Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection. EUSIPCO (2021)
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
Unsupervised Learned Kalman Filtering. CoRR (2021)
Vincent van de Schaft, Ruud J. G. van Sloun
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors. CoRR (2021)
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. CoRR (2021)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR (2021)
Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
Active Deep Probabilistic Subsampling. ICML (2021)
Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar
Deep Learning for Ultrasound Beamforming. CoRR (2021)
Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound. IEEE Trans. Medical Imaging 39 (4) (2020)
Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. ICASSP (2020)
Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39 (8) (2020)
Eleni Fotiadou, Mengzhu Xu, Bart van Erp, Ruud J. G. van Sloun, Rik Vullings
Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction. EMBC (2020)
Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas
ProxSGD: Training Structured Neural Networks under Regularization and Constraints. ICLR (2020)
Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
Adaptive Ultrasound Beamforming Using Deep Learning. IEEE Trans. Medical Imaging 39 (12) (2020)
Ruud J. G. van Sloun, Libertario Demi
Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results. IEEE J. Biomed. Health Informatics 24 (4) (2020)
Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR (2020)
Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR (2020)
Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. ICASSP (2020)
Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
Deep Learning in Ultrasound Imaging. Proc. IEEE 108 (1) (2020)
Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. IEEE Trans. Medical Imaging 39 (12) (2020)
Rogier R. Wildeboer, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. Comput. Methods Programs Biomed. 189 (2020)
Ruud J. G. van Sloun, Libertario Demi
B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results. ICIAR (1) (2019)
Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network. CoRR (2019)
Oren Solomon, Ruud J. G. van Sloun, Massimo Mischi, Yonina C. Eldar
Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging. ICASSP (2019)
Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
Deep Learning for Fast Adaptive Beamforming. ICASSP (2019)
Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. CoRR (2019)
Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Yonina C. Eldar, Massimo Mischi
Deep Learning for Super-resolution Vascular Ultrasound Imaging. ICASSP (2019)
Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
Deep learning in ultrasound imaging. CoRR (2019)
Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Convolutional Robust PCA with Application to Ultrasound Imaging. ICASSP (2019)
Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Patrick Houthuizen, Massimo Mischi
Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates. MeMeA (2018)
Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi
A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity. Proc. Meet. Acoust. 34 (1) (2018)
Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound. CoRR (2018)
Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi
Super-resolution Ultrasound Localization Microscopy through Deep Learning. CoRR (2018)
Rogier R. Wildeboer, Ruud J. G. van Sloun, Stefan G. Schalk, Christophe K. Mannaerts, J. C. Van Der Linden, P. Huang, Hessel Wijkstra, Massimo Mischi
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer. IEEE Trans. Medical Imaging 37 (12) (2018)
Ruud J. G. van Sloun, Libertario Demi, Arnoud W. Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi
Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer. IEEE Trans. Medical Imaging 36 (3) (2017)