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2020 – today
- 2024
[j30]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:
Overnight Sleep Staging Using Chest-Worn Accelerometry. Sensors 24(17): 5717 (2024)- [j29]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:
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. IEEE Trans. Medical Imaging 43(8): 2970-2987 (2024) - [j28]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): 733-744 (2024) - [j27]Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings:
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising. IEEE Trans. Signal Process. 72: 3990-4006 (2024) - [j26]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): 1502-1515 (2024) - [j25]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): 5651-5665 (2024) - [j24]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): 2771-2785 (2024) - [c43]Jeroen Overdevest, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun:
Model-Based Diffusion for Mitigating Automotive Radar Interference. ICASSP Workshops 2024: 284-288 - [c42]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen:
Retaining Informative Latent Variables in Probabilistic Segmentation. ICASSP 2024: 5635-5639 - [c41]Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek:
Residual Quantization with Implicit Neural Codebooks. ICML 2024 - [i29]Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek:
Residual Quantization with Implicit Neural Codebooks. CoRR abs/2401.14732 (2024) - [i28]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 abs/2405.15727 (2024) - [i27]Oisín Nolan, Tristan S. W. Stevens, Wessel L. van Nierop, Ruud J. G. van Sloun:
Active Diffusion Subsampling. CoRR abs/2406.14388 (2024) - [i26]Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Fokke B. van Meulen, Johannes P. van Dijk, Sebastiaan Overeem, Ruud J. G. van Sloun:
A generative foundation model for five-class sleep staging with arbitrary sensor input. CoRR abs/2408.15253 (2024) - [i25]Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun:
Sequential Posterior Sampling with Diffusion Models. CoRR abs/2409.05399 (2024) - 2023
- [j23]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: 104726 (2023) - [j22]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): 274 (2023) - [j21]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): 1353-1371 (2023) - [j20]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): 5599-5609 (2023) - [j19]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: 4441-4456 (2023) - [c40]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: 1-5 - [c39]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: 1-5 - [c38]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: 1-5 - [c37]Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings:
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP 2023: 1-5 - [c36]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: 1-5 - [c35]Jeroen 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: 1-5 - [c34]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: 1-5 - [c33]Iris A. M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud van Sloun:
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series. ICML 2023: 14132-14152 - [i24]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 abs/2302.05290 (2023) - [i23]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 abs/2306.02271 (2023) - [i22]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 abs/2306.02984 (2023) - [i21]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 abs/2307.16694 (2023) - 2022
- [j18]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: 107037 (2022) - [j17]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: 1532-1547 (2022) - [j16]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: 2962-2971 (2022) - [j15]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: 6021-6034 (2022) - [c32]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:
A U - Net Deep Learning Model for Infant Heart Rate Estimation from Ballistography*. EMBC 2022: 1919-1922 - [c31]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: 2945-2948 - [c30]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. EUSIPCO 2022: 1571-1575 - [c29]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: 1216-1220 - [c28]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: 1221-1225 - [c27]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: 1551-1555 - [c26]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: 3194-3198 - [c25]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: 3473-3477 - [c24]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP 2022: 3598-3602 - [c23]Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP 2022: 5902-5906 - [c22]Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram:
Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging. ICASSP 2022: 8682-8686 - [c21]Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. van Sloun:
Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations. ISCAS 2022: 1392-1396 - [c20]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: 99-107 - [i20]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 abs/2201.09522 (2022) - [i19]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. CoRR abs/2201.12634 (2022) - [i18]Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Ultrasound Signal Processing: From Models to Deep Learning. CoRR abs/2204.04466 (2022) - [i17]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 abs/2205.15875 (2022) - [i16]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 abs/2208.04639 (2022) - 2021
- [j14]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: 105810 (2021) - [j13]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): 829-839 (2021) - [c19]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: 1-6 - [c18]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: 1780-1784 - [c17]Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
Kalmannet: Data-Driven Kalman Filtering. ICASSP 2021: 3905-3909 - [c16]Hans Van Gorp, Iris A. M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud J. G. van Sloun:
Active Deep Probabilistic Subsampling. ICML 2021: 10509-10518 - [c15]Nehir Berk Onat, Ozan Dogan, Mario Azcueta, Ruud van Sloun:
Joint Performance Optimization of Monostatic and Bistatic SAR Configurations. IGARSS 2021: 5247-5250 - [c14]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: 75-88 - [i15]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 abs/2105.12686 (2021) - [i14]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. CoRR abs/2107.10043 (2021) - [i13]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 abs/2108.02155 (2021) - [i12]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR abs/2109.10581 (2021) - [i11]Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar:
Deep Learning for Ultrasound Beamforming. CoRR abs/2109.11431 (2021) - [i10]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 abs/2110.01515 (2021) - [i9]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 abs/2110.04738 (2021) - [i8]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. CoRR abs/2110.09005 (2021) - [i7]Vincent van de Schaft, Ruud J. G. van Sloun:
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors. CoRR abs/2112.13110 (2021) - 2020
- [j12]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: 105316 (2020) - [j11]Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar:
Deep Learning in Ultrasound Imaging. Proc. IEEE 108(1): 11-29 (2020) - [j10]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): 957-964 (2020) - [j9]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): 1051-1063 (2020) - [j8]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): 2676-2687 (2020) - [j7]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): 3955-3966 (2020) - [j6]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): 3967-3978 (2020) - [c13]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: 608-611 - [c12]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: 8906-8910 - [c11]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: 9125-9129 - [c10]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 - [c9]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Deep probabilistic subsampling for task-adaptive compressed sensing. ICLR 2020 - [i6]Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. CoRR abs/2004.10536 (2020)
2010 – 2019
- 2019
- [c8]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: 1055-1059 - [c7]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: 1333-1337 - [c6]Oren Solomon, Ruud J. G. van Sloun, Massimo Mischi, Yonina C. Eldar:
Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging. ICASSP 2019: 1338-1342 - [c5]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: 3212-3216 - [c4]Ruud J. G. van Sloun, Libertario Demi:
B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results. ICIAR (1) 2019: 418-424 - [c3]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:
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [i5]Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar:
Deep learning in ultrasound imaging. CoRR abs/1907.02994 (2019) - [i4]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 abs/1908.03573 (2019) - [i3]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 abs/1908.05764 (2019) - 2018
- [j5]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) - [j4]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:
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer. IEEE Trans. Medical Imaging 37(12): 2593-2602 (2018) - [c2]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: 1-6 - [i2]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 abs/1804.07661 (2018) - [i1]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 abs/1811.08252 (2018) - 2017
- [j3]Ruud van Sloun, Libertario Demi, Arnoud Postema, Jean J. M. C. H. de la Rosette, Hessel Wijkstra, Massimo Mischi:
Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization. Medical Image Anal. 35: 610-619 (2017) - [j2]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): 826-837 (2017) - 2015
- [j1]Ruud van Sloun, Ashish Pandharipande, Massimo Mischi, Libertario Demi:
Compressed Sensing for Ultrasound Computed Tomography. IEEE Trans. Biomed. Eng. 62(6): 1660-1664 (2015) - 2014
- [c1]Ruud van Sloun, Ashish Pandharipande, David Caicedo, Sriram Srinivasan, Piet Sommen:
Ultrasonic circular array sensing for human arm motion classification. ICCE-Berlin 2014: 24-25
Coauthor Index
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-10 22:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
