← Search

Iris A. M. Huijben

4 accepted papers

2025

Learning Structured Compressed Sensing with Automatic Resource Allocation

ICASSP 2025accepted

Multidimensional data acquisition often requires extensive time and poses significant challenges for hardware and software regarding data storage and processing. Rather than designing a single compression matrix as in conventional compressed sensing, structured compressed sensing yields dimension-sp…

Cited by 1SourceScholar
2022

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

ICASSP 2022accepted

Fetal well-being during labor is currently assessed by medical professionals through visual interpretation of the cardiotocogram (CTG), a simultaneous recording of Fetal Heart Rate (FHR) and Uterine Contractions (UC). This method is disputed due to high inter- and intra-observer variability and a re…

Cited by 6SourceScholar
2020

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

ICASSP 2020accepted

Compressed sensing (CS) MRI relies on adequate under-sampling of the k-space to accelerate the acquisition without compromising image quality. Consequently, the design of optimal sampling patterns for these k-space coefficients has received significant attention, with many CS MRI methods exploiting…

Cited by 0SourceScholar
2020

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

ICASSP 2020accepted

Analog-to-digital conversion allows physical signals to be processed using digital hardware. This conversion consists of two stages: Sampling, which maps a continuous-time signal into discrete-time, and quantization, i.e., representing the continuous-amplitude quantities using a finite number of bit…

Cited by 0SourceScholar