Ruud van Sloun

According to our database, Ruud van Sloun authored at least 91 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dehazing Ultrasound Using Diffusion Models.

Tristan S. W. Stevens, Faik C. Meral, Jason Yu, Iason Zacharias Apostolakis, Jean-Luc Robert, Ruud J. G. van Sloun

IEEE Trans. Medical Imaging, October, 2024

Overnight Sleep Staging Using Chest-Worn Accelerometry.

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

Sensors, September, 2024

ProactiV: Studying Deep Learning Model Behavior Under Input Transformations.

Vidya Prasad, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti

IEEE Trans. Vis. Comput. Graph., August, 2024

ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging.

Marcelo Lerendegui, Kai Riemer, Georgios Papageorgiou, Bingxue Wang, Lachlan Arthur, Arthur Chavignon, Tao Zhang, Olivier Couture, Pingtong Huang, Md Ashikuzzaman, Stefanie Dencks, Christopher Dunsby, Brandon Helfield, Jørgen Arendt Jensen, Thomas Lisson, Matthew R. Lowerison, Hassan Rivaz, Anthony E. Samir, Georg Schmitz, Scott J. Schoen, Ruud van Sloun, Pengfei Song, Tristan S. W. Stevens, Jipeng Yan, Vassilis Sboros, Meng-Xing Tang

IEEE Trans. Medical Imaging, August, 2024

The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification.

Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti

IEEE Trans. Vis. Comput. Graph., February, 2024

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities.

Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun

IEEE Trans. Neural Networks Learn. Syst., January, 2024

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun

IEEE Trans. Veh. Technol., 2024

HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising.

Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

IEEE Trans. Signal Process., 2024

Learning Structured Compressed Sensing with Automatic Resource Allocation.

Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer

CoRR, 2024

Active inference and deep generative modeling for cognitive ultrasound.

Ruud J. G. van Sloun

CoRR, 2024

Active Inference for Closed-loop transmit beamsteering in Fetal Doppler Ultrasound.

Beatrice Federici, Ruud J. G. van Sloun, Massimo Mischi

CoRR, 2024

Sequential Posterior Sampling with Diffusion Models.

Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun

CoRR, 2024

A generative foundation model for five-class sleep staging with arbitrary sensor input.

Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Fokke B. van Meulen, Johannes P. van Dijk, Sebastiaan Overeem, Ruud J. G. van Sloun

CoRR, 2024

Active Diffusion Subsampling.

Oisín Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun

CoRR, 2024

Anomalous Change Point Detection Using Probabilistic Predictive Coding.

Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings

CoRR, 2024

Residual Quantization with Implicit Neural Codebooks.

Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Retaining Informative Latent Variables in Probabilistic Segmentation.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen

Proceedings of the IEEE International Conference on Acoustics, 2024

Model-Based Diffusion for Mitigating Automotive Radar Interference.

Jeroen Overdevest, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images.

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

BMC Medical Informatics Decis. Mak., December, 2023

Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning.

Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun

IEEE J. Biomed. Health Informatics, November, 2023

A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep.

Fons Schipper, Ruud J. G. van Sloun, Angela Grassi, Sebastiaan Overeem, Pedro Fonseca

Biomed. Signal Process. Control., May, 2023

RTSNet: Learning to Smooth in Partially Known State-Space Models.

Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.

Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

CoRR, 2023

A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.

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

CoRR, 2023

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.

Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

CoRR, 2023

Removing Structured Noise with Diffusion Models.

Tristan S. W. Stevens, Jean-Luc Robert, Faik C. Meral, Jason Yu, Jun Seob Shin, Ruud J. G. van Sloun

CoRR, 2023

SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series.

Iris A. M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud van Sloun

Proceedings of the International Conference on Machine Learning, 2023

Deep Root Music Algorithm for Data-Driven Doa Estimation.

Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

Signal Reconstruction for FMCW Radar Interference Mitigation Using Deep Unfolding.

Jeroen Overdevest, A. G. C. Koppelaar, M. J. G. Bekooij, J. Youn, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging.

Ben Luijten, Boudewine W. Ossenkoppele, Nico de Jong, Martin D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Filtering With Online Learned Priors for ECG Denoising.

Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

Proceedings of the IEEE International Conference on Acoustics, 2023

Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows.

Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2023

Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain.

Koen C. E. van de Camp, Hamdi Joudeh, Duarte J. Antunes, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Kalman Filtering in Latent Space with High-Dimensional Data.

Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Unfolding With Normalizing Flow Priors for Inverse Problems.

Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun

IEEE Trans. Signal Process., 2022

Deep Task-Based Analog-to-Digital Conversion.

Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Signal Process., 2022

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.

Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Signal Process., 2022

Ultrasound Signal Processing: From Models to Deep Learning.

Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

CoRR, 2022

Unsupervised domain adaptation method for segmenting cross-sectional CCA images.

Luuk van Knippenberg, Ruud J. G. van Sloun, Massimo Mischi, Joerik de Ruijter, Richard G. P. Lopata, R. Arthur Bouwman

Comput. Methods Programs Biomed., 2022

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

Proceedings of the Cancer Prevention Through Early Detection, 2022

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations.

Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Image Denoising with Deep Unfolding And Normalizing Flows.

Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

Contrastive Predictive Coding for Anomaly Detection of Fetal Health from the Cardiotocogram.

Bert de Vries, Iris A. M. Huijben, René D. Kok, Ruud J. G. van Sloun, Rik Vullings

Proceedings of the IEEE International Conference on Acoustics, 2022

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning.

Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

RTSNet: Deep Learning Aided Kalman Smoothing.

Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Augmented Music Algorithm for Data-Driven Doa Estimation.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.

Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2022

Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging.

Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound.

Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Learned Kalman Filtering.

Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the 30th European Signal Processing Conference, 2022

A U - Net Deep Learning Model for Infant Heart Rate Estimation from Ballistography^*.

Wendy Prins, Elena Stamatelou, Kiran Dellimore, Alice Likumbo, Emmanuel Kafulafula, Josephine Langton, Jenala Njirammadzi, Joyce Mwenisungo, Tushapo Msukwa, Job Calis, Ruud van Sloun, Bart Bierling

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings.

Iris A. M. Huijben, Arthur A. Nijdam, Lieke W. A. Hermans, Sebastiaan Overeem, Merel M. van Gilst, Ruud J. G. van Sloun

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Super-Resolution Ultrasound Localization Microscopy Through Deep Learning.

Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi

IEEE Trans. Medical Imaging, 2021

Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors.

Vincent van de Schaft, Ruud J. G. van Sloun

CoRR, 2021

A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.

Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun

CoRR, 2021

Deep Learning for Ultrasound Beamforming.

Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar

CoRR, 2021

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

CoRR, 2021

Blood flow patterns estimation in the left ventricle with low-rate 2D and 3D dynamic contrast-enhanced ultrasound.

Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Domenico Filomena, Luciano Agati, Patrick Houthuizen, Massimo Mischi

Comput. Methods Programs Biomed., 2021

Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows.

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Joint Performance Optimization of Monostatic and Bistatic SAR Configurations.

Nehir Berk Onat, Ozan Dogan, Mario Azcueta, Ruud van Sloun

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Active Deep Probabilistic Subsampling.

Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun

Proceedings of the 38th International Conference on Machine Learning, 2021

Kalmannet: Data-Driven Kalman Filtering.

Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection.

Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun

Proceedings of the 29th European Signal Processing Conference, 2021

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias.

Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound.

Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, Qiong He, Jianwen Luo, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Medical Imaging, 2020

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.

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

IEEE Trans. Medical Imaging, 2020

Adaptive Ultrasound Beamforming Using Deep Learning.

Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun

IEEE Trans. Medical Imaging, 2020

Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging.

Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun

IEEE Trans. Medical Imaging, 2020

Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

Ruud J. G. van Sloun, Libertario Demi

IEEE J. Biomed. Health Informatics, 2020

Deep Learning in Ultrasound Imaging.

Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar

Proc. IEEE, 2020

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Rogier R. Wildeboer, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi

Comput. Methods Programs Biomed., 2020

Deep probabilistic subsampling for task-adaptive compressed sensing.

Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun

Proceedings of the 8th International Conference on Learning Representations, 2020

ProxSGD: Training Structured Neural Networks under Regularization and Constraints.

Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers.

Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI.

Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction.

Eleni Fotiadou, Mengzhu Xu, Bart van Erp, Ruud J. G. van Sloun, Rik Vullings

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network.

Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi

CoRR, 2019

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.

Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results.

Ruud J. G. van Sloun, Libertario Demi

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging.

Oren Solomon, Ruud J. G. van Sloun, Massimo Mischi, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Learning for Super-resolution Vascular Ultrasound Imaging.

Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Yonina C. Eldar, Massimo Mischi

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Learning for Fast Adaptive Beamforming.

Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Convolutional Robust PCA with Application to Ultrasound Imaging.

Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer.

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

IEEE Trans. Medical Imaging, 2018

A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity.

Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi

Proc. Meet. Acoust., 2018

Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates.

Peiran Chen, Ruud J. G. van Sloun, Simona Turco, Hessel Wijkstra, Patrick Houthuizen, Massimo Mischi

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018

2017

Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer.

Ruud J. G. van Sloun, Libertario Demi, Arnoud W. Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi

IEEE Trans. Medical Imaging, 2017

Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization.

Ruud van Sloun, Libertario Demi, Arnoud Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi

Medical Image Anal., 2017

2015

Compressed Sensing for Ultrasound Computed Tomography.

Ruud van Sloun, Ashish Pandharipande, Massimo Mischi, Libertario Demi

IEEE Trans. Biomed. Eng., 2015

2014

Ultrasonic circular array sensing for human arm motion classification.

Ruud van Sloun, Ashish Pandharipande, David Caicedo, Sriram Srinivasan, Piet Sommen

Proceedings of the IEEE Fourth International Conference on Consumer Electronics Berlin, 2014