113 citations · 117 across the 9 of their papers we have counts for
9 papers
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…
Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations
Laura Quintana-quintana, Mark Witteveen, Behdad Dashtbozorg +4
Recent advancements in multispectral (MS) and hyperspectral (HS) microscopy have focused on sensor and system improvements, yet sample processing remains overlooked. We conducted a…
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,…
A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites
J. Friemann, B. Dashtbozorg, M. Fagerström +1
The macroscopic response of short fiber reinforced composites is dependent on an extensive range of microstructural parameters. Thus, micromechanical modeling of these materials is…
Retinal Microaneurysms Detection using Local Convergence Index Features
Behdad Dashtbozorg, Jiong Zhang, Bart M. ter Haar Romeny
Retinal microaneurysms are the earliest clinical sign of diabetic retinopathy disease. Detection of microaneurysms is crucial for the early diagnosis of diabetic retinopathy and pr…
Exploring the similarity of medical imaging classification problems
Veronika Cheplygina, Pim Moeskops, Mitko Veta +2
Supervised learning is ubiquitous in medical image analysis. In this paper we consider the problem of meta-learning -- predicting which methods will perform well in an unseen class…