Ruud J. G. van Sloun

116 papers A* 4C 1Misc 27Journal 73Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Iterative Amortized Hierarchical VAE. CoRR Simon W. Penninga, Ruud J. G. van Sloun
2026	A*	`conf`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. AAAI Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2025	J	`jnl`	A Deep Generative Model for Five-Class Sleep Staging With Arbitrary Sensor Input. IEEE J. Biomed. Health Informatics Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Fokke B. van Meulen, Johannes P. van Dijk, Sebastiaan Overeem, Ruud J. G. van Sloun
2025	J	`jnl`	Artificial intelligence in clinical decision support and the prediction of adverse events. Frontiers Digit. Health Sebastiaan Oei, Tom H. G. F. Bakkes, Massimo Mischi, R. Arthur Bouwman, Ruud J. G. van Sloun, Simona Turco
2025	J	`jnl`	Conditional Contrastive Predictive Coding for Assessment of Fetal Health From the Cardiotocogram. IEEE J. Biomed. Health Informatics Ivar R. de Vries, Raoul Melaet, Iris A. M. Huijben, Judith O. E. H. Van Laar, René D. Kok, S. Guid Oei, Ruud J. G. van Sloun, Rik Vullings
2025	Misc	`conf`	Deep Learning for Modulo Sampling of FRI Signals. ICASSP Sem Koenen, Vincent van de Schaft, Ruud J. G. van Sloun
2025	Misc	`conf`	Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging. ICASSP Simon W. Penninga, Hans Van Gorp, Ruud J. G. van Sloun
2025	J	`jnl`	Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging. CoRR Simon W. Penninga, Hans Van Gorp, Ruud J. G. van Sloun
2025	Misc	`conf`	Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation. ICASSP Xinyi Wei, Jihwan Youn, Jeroen Overdevest, Jun Li, Satish Ravindran, Ruud J. G. van Sloun
2025	Misc	`conf`	Deep Variational Sequential Monte Carlo for High-Dimensional Observations. ICASSP Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun
2025	J	`jnl`	Deep Variational Sequential Monte Carlo for High-Dimensional Observations. CoRR Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun
2025	J	`jnl`	High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models. CoRR Tristan S. W. Stevens, Oisín Nolan, Oudom Somphone, Jean-Luc Robert, Ruud J. G. van Sloun
2025	J	`jnl`	Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. IEEE Trans. Medical Imaging M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2025	J	`jnl`	Nuclear Diffusion Models for Low-Rank Background Suppression in Videos. CoRR Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun
2025	J	`jnl`	Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy. CoRR Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal, Ruud J. G. van Sloun
2025	J	`jnl`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. CoRR Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2025	J	`jnl`	Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing. CoRR Tristan S. W. Stevens, Oisín Nolan, Ruud J. G. van Sloun
2025	Misc	`conf`	Sequential Posterior Sampling with Diffusion Models. ICASSP Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun
2025	J	`jnl`	SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. IEEE Trans. Veh. Technol. Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2024	J	`jnl`	A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation. CoRR M. M. Amaan Valiuddin, Ruud J. G. van Sloun, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen
2024	J	`jnl`	A generative foundation model for five-class sleep staging with arbitrary sensor input. CoRR Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Fokke B. van Meulen, Johannes P. van Dijk, Sebastiaan Overeem, Ruud J. G. van Sloun
2024	J	`jnl`	Active Diffusion Subsampling. CoRR Oisín Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun
2024	J	`jnl`	Active Inference for Closed-loop transmit beamsteering in Fetal Doppler Ultrasound. CoRR Beatrice Federici, Ruud J. G. van Sloun, Massimo Mischi
2024	J	`jnl`	Active inference and deep generative modeling for cognitive ultrasound. CoRR Ruud J. G. van Sloun
2024	J	`jnl`	Anomalous Change Point Detection Using Probabilistic Predictive Coding. CoRR Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings
2024	—	`conf`	Attention on Sleep Stage Specific Characteristics. EMBC Iris A. M. Huijben, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2024	J	`jnl`	DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
2024	J	`jnl`	Dehazing Ultrasound Using Diffusion Models. IEEE Trans. Medical Imaging Tristan S. W. Stevens, Faik C. Meral, Jason Yu, Iason Zacharias Apostolakis, Jean-Luc Robert, Ruud J. G. van Sloun
2024	J	`jnl`	Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun
2024	J	`jnl`	HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising. IEEE Trans. Signal Process. Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2024	J	`jnl`	Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals. IEEE Trans. Signal Process. Itay Buchnik, Guy Revach, Damiano Steger, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2024	—	`conf`	Model-Based Diffusion for Mitigating Automotive Radar Interference. ICASSP Workshops Jeroen Overdevest, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun
2024	J	`jnl`	Overnight Sleep Staging Using Chest-Worn Accelerometry. Sensors Fons Schipper, Angela Grassi, Marco Ross, Andreas Cerny, Peter Anderer, Lieke W. A. Hermans, Fokke van Meulen, Mickey Leentjens, Emily Schoustra, Pien Bosschieter, Ruud J. G. van Sloun, Sebastiaan Overeem, Pedro Fonseca
2024	J	`jnl`	ProactiV: Studying Deep Learning Model Behavior Under Input Transformations. IEEE Trans. Vis. Comput. Graph. Vidya Prasad, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti
2024	J	`jnl`	Sequential Posterior Sampling with Diffusion Models. CoRR Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun
2024	J	`jnl`	The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Trans. Vis. Comput. Graph. Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti
2023	J	`jnl`	A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. CoRR 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
2023	J	`jnl`	A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2023	J	`jnl`	A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep. Biomed. Signal Process. Control. Fons Schipper, Ruud J. G. van Sloun, Angela Grassi, Sebastiaan Overeem, Pedro Fonseca
2023	Misc	`conf`	Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain. ICASSP Koen C. E. van de Camp, Hamdi Joudeh, Duarte J. Antunes, Ruud J. G. van Sloun
2023	Misc	`conf`	Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. ICASSP Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
2023	J	`jnl`	Automatic deep learning-based pleural effusion segmentation in lung ultrasound images. BMC Medical Informatics Decis. Mak. 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
2023	Misc	`conf`	Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2023	Misc	`conf`	Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2023	J	`jnl`	Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2023	Misc	`conf`	Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2023	J	`jnl`	Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. IEEE J. Biomed. Health Informatics Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun
2023	Misc	`conf`	Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging. ICASSP Ben Luijten, Boudewine W. Ossenkoppele, Nico de Jong, Martin D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
2023	J	`jnl`	RTSNet: Learning to Smooth in Partially Known State-Space Models. IEEE Trans. Signal Process. Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2023	J	`jnl`	Removing Structured Noise with Diffusion Models. CoRR Tristan S. W. Stevens, Jean-Luc Robert, Faik C. Meral, Jason Yu, Jun Seob Shin, Ruud J. G. van Sloun
2023	Misc	`conf`	Signal Reconstruction for FMCW Radar Interference Mitigation Using Deep Unfolding. ICASSP Jeroen Overdevest, A. G. C. Koppelaar, M. J. G. Bekooij, J. Youn, Ruud J. G. van Sloun
2023	J	`jnl`	SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2022	Misc	`conf`	Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. ICASSP Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
2022	J	`jnl`	Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. CoRR Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun
2022	Misc	`conf`	Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram. ICASSP Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings
2022	Misc	`conf`	Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2022	Misc	`conf`	Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. ICASSP Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
2022	J	`jnl`	Deep Task-Based Analog-to-Digital Conversion. CoRR Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
2022	J	`jnl`	Deep Task-Based Analog-to-Digital Conversion. IEEE Trans. Signal Process. Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
2022	J	`jnl`	Deep Unfolding With Normalizing Flow Priors for Inverse Problems. IEEE Trans. Signal Process. Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
2022	—	`conf`	Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2022	J	`jnl`	Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2022	Misc	`conf`	Image Denoising with Deep Unfolding And Normalizing Flows. ICASSP Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
2022	J	`jnl`	KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. IEEE Trans. Signal Process. Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2022	Misc	`conf`	RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2022	J	`jnl`	SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. CoRR Iris A. M. Huijben, Arthur A. Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2022	—	`conf`	Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings. EMBC Iris A. M. Huijben, Arthur A. Nijdam, Lieke W. A. Hermans, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun
2022	C	`conf`	Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations. ISCAS Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun
2022	J	`jnl`	Ultrasound Signal Processing: From Models to Deep Learning. CoRR Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun
2022	Misc	`conf`	Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. ICASSP Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2022	Misc	`conf`	Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging. ICASSP Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram
2022	—	`conf`	Unsupervised Learned Kalman Filtering. EUSIPCO Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
2022	J	`jnl`	Unsupervised domain adaptation method for segmenting cross-sectional CCA images. Comput. Methods Programs Biomed. Luuk van Knippenberg, Ruud J. G. van Sloun, Massimo Mischi, Joerik de Ruijter, Richard G. P. Lopata, R. Arthur Bouwman
2021	J	`jnl`	A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. CoRR Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2021	A*	`conf`	Active Deep Probabilistic Subsampling. ICML Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun
2021	—	`conf`	Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection. EUSIPCO Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun
2021	J	`jnl`	Blood flow patterns estimation in the left ventricle with low-rate 2D and 3D dynamic contrast-enhanced ultrasound. Comput. Methods Programs Biomed. Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Domenico Filomena, Luciano Agati, Patrick Houthuizen, Massimo Mischi
2021	J	`jnl`	Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2021	J	`jnl`	Deep Learning for Ultrasound Beamforming. CoRR Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar
2021	J	`jnl`	Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. CoRR Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun
2021	—	`conf`	Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias. BioCAS Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun
2021	J	`jnl`	Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2021	—	`conf`	Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
2021	J	`jnl`	KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. CoRR Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2021	Misc	`conf`	Kalmannet: Data-Driven Kalman Filtering. ICASSP Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2021	J	`jnl`	Super-Resolution Ultrasound Localization Microscopy Through Deep Learning. IEEE Trans. Medical Imaging Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi
2021	J	`jnl`	Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors. CoRR Vincent van de Schaft, Ruud J. G. van Sloun
2021	J	`jnl`	Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. CoRR Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2021	J	`jnl`	Unsupervised Learned Kalman Filtering. CoRR Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
2020	J	`jnl`	Adaptive Ultrasound Beamforming Using Deep Learning. IEEE Trans. Medical Imaging Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
2020	J	`jnl`	Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. Comput. Methods Programs Biomed. Rogier R. Wildeboer, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi
2020	—	`conf`	Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction. EMBC Eleni Fotiadou, Mengzhu Xu, Bart van Erp, Ruud J. G. van Sloun, Rik Vullings
2020	J	`jnl`	Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Deep Learning in Ultrasound Imaging. Proc. IEEE Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
2020	J	`jnl`	Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound. IEEE Trans. Medical Imaging Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
2020	A*	`conf`	Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	Misc	`conf`	Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. ICASSP Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	J	`jnl`	Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun
2020	J	`jnl`	Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging. IEEE Trans. Medical Imaging Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun
2020	Misc	`conf`	Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. ICASSP Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar
2020	J	`jnl`	Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results. IEEE J. Biomed. Health Informatics Ruud J. G. van Sloun, Libertario Demi
2020	A*	`conf`	ProxSGD: Training Structured Neural Networks under Regularization and Constraints. ICLR Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas
2019	—	`conf`	B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results. ICIAR (1) Ruud J. G. van Sloun, Libertario Demi
2019	Misc	`conf`	Deep Convolutional Robust PCA with Application to Ultrasound Imaging. ICASSP Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar
2019	Misc	`conf`	Deep Learning for Fast Adaptive Beamforming. ICASSP Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun
2019	Misc	`conf`	Deep Learning for Super-resolution Vascular Ultrasound Imaging. ICASSP Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Yonina C. Eldar, Massimo Mischi
2019	J	`jnl`	Deep learning in ultrasound imaging. CoRR Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar
2019	J	`jnl`	Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging. CoRR Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun
2019	Misc	`conf`	Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging. ICASSP Oren Solomon, Ruud J. G. van Sloun, Massimo Mischi, Yonina C. Eldar
2019	J	`jnl`	Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network. CoRR Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi
2018	J	`jnl`	A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity. Proc. Meet. Acoust. Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi
2018	J	`jnl`	Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer. IEEE Trans. Medical Imaging Rogier R. Wildeboer, Ruud J. G. van Sloun, Stefan G. Schalk, Christophe K. Mannaerts, J. C. Van Der Linden, Pintong Huang, Hessel Wijkstra, Massimo Mischi
2018	J	`jnl`	Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound. CoRR Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar
2018	—	`conf`	Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates. MeMeA Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Patrick Houthuizen, Massimo Mischi
2018	J	`jnl`	Super-resolution Ultrasound Localization Microscopy through Deep Learning. CoRR Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi
2017	J	`jnl`	Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer. IEEE Trans. Medical Imaging Ruud J. G. van Sloun, Libertario Demi, Arnoud W. Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi