1 citations · 1 across the 1 of their papers we have counts for
5 papers
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling +2
Unstructured neural network pruning algorithms have achieved impressive compression rates. However, the resulting - typically irregular - sparse matrices hamper efficient hardware…
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse +2
Limitations on bandwidth and power consumption impose strict bounds on data rates of diagnostic imaging systems. Consequently, the design of suitable (i.e. task- and data-aware) co…
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…
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon, Regev Cohen, Yi Zhang +5
Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within the tissue. It…
Exploiting flow dynamics for super-resolution in contrast-enhanced ultrasound
Oren Solomon, Ruud J. G. van Sloun, Hessel Wijkstra +2
Ultrasound localization microscopy offers new radiation-free diagnostic tools for vascular imaging deep within the tissue. Sequential localization of echoes returned from inert mic…