113 citations · 117 across the 9 of their papers we have counts for
5 papers · 1 filter
A Paired Point-of-Care Ultrasound Dataset for Image Quality Enhancement and Benchmarking via a cGAN Baseline
Lennard M. van Karnenbeek, Hilde G. A. van der Pol, Mark Wijkhuizen +5
Purpose: We aim to enhance the image quality of point-of-care ultrasound (POCUS) devices using deep learning and a novel paired dataset of POCUS and high-end ultrasound images. App…
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey
Hao Yang, Xinlong Liang, Zhang Li +12
Deep learning offers transformative potential in medical imaging, yet its clinical adoption is frequently hampered by challenges such as data scarcity, distribution shifts, and the…
Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
Tiziano Natali, Liza M. Kurucz, Matteo Fusaglia +4
Prostate cancer is a leading health concern among men, requiring accurate and accessible methods for early detection and risk stratification. Prostate volume (PV) is a key paramete…
Deformable multi-modal image registration for the correlation between optical measurements and histology images
Lianne Feenstra, Maud Lambregts, Theo J. M Ruers +1
The correlation of optical measurements with a correct pathology label is often hampered by imprecise registration caused by deformations in histology images. This study explores a…
Point Projection Mapping System for Tracking, Registering, Labeling and Validating Optical Tissue Measurements
Lianne Feenstra, Stefan D. van der Stel, Marcos Da Silva Guimaraes +2
Validation of newly developed optical tissue sensing techniques for tumor detection during cancer surgery requires an accurate correlation with histological results. Additionally,…