58 citations · 174 across the 19 of their papers we have counts for
9 papers · 1 filter
Patient-Adaptive Echocardiography using Cognitive Ultrasound
Wessel L. van Nierop, Oisín Nolan, Tristan S. W. Stevens +1
Focused transmits are the most commonly used transmit strategy for echocardiograms, but suffer from relatively low frame rates, and in 3D, even lower volume rates. Fast imaging bas…
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
Hans van Gorp, Merel M. van Gilst, Pedro Fonseca +4
Gold-standard sleep scoring is based on epoch-based assignment of sleep stages based on a combination of EEG, EOG and EMG signals. However, a polysomnographic recording consists of…
Off-Grid Ultrasound Imaging by Stochastic Optimization
Vincent van de Schaft, Oisín Nolan, Ruud J. G. van Sloun
Ultrasound images formed by delay-and-sum beamforming are plagued by artifacts that only clear up after compounding many transmissions. Some prior works pose imaging as an inverse…
Dehazing Ultrasound using Diffusion Models
Tristan S. W. Stevens, Faik C. Meral, Jason Yu +3
Echocardiography has been a prominent tool for the diagnosis of cardiac disease. However, these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges due…
Deep Task-Based Analog-to-Digital Conversion
Nir Shlezinger, Ariel Amar, Ben Luijten +2
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time s…
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn +2
Intravascular ultrasound (IVUS) offers a unique perspective in the treatment of vascular diseases by creating a sequence of ultrasound-slices acquired from within the vessel. Howev…
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors
Vincent van de Schaft, Ruud J. G. van Sloun
Ultrasonography offers an inexpensive, widely-accessible and compact medical imaging solution. However, compared to other imaging modalities such as CT and MRI, ultrasound images n…
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection
Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam +1
Cognitive radars are systems that rely on learning through interactions of the radar with the surrounding environment. To realize this, radar transmit parameters can be adapted suc…
Deep learning in ultrasound imaging
Ruud JG van Sloun, Regev Cohen, Yonina C Eldar
We consider deep learning strategies in ultrasound systems, from the front-end to advanced applications. Our goal is to provide the reader with a broad understanding of the possibl…