Bart M. ter Haar Romeny
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View article: Type 2 diabetes and HbA1c are independently associated with wider retinal arterioles: the Maastricht study
Type 2 diabetes and HbA1c are independently associated with wider retinal arterioles: the Maastricht study Open
Aims/hypothesis Retinal microvascular diameters are biomarkers of cardio-metabolic risk. However, the association of (pre)diabetes with retinal microvascular diameters remains unclear. We aimed to investigate the association of prediabetes…
View article: WITHDRAWN: 4.7 Prediabetes and Type 2 Diabetes are Associated With Wider Retina Arterioles and Venules
WITHDRAWN: 4.7 Prediabetes and Type 2 Diabetes are Associated With Wider Retina Arterioles and Venules Open
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Atlantis Press Policy on Article Withdrawal can be found at https://www.atlantis-press.c…
View article: A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases
A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases Open
This paper presents an automated system for extracting retinal vascular biomarkers for early detection of diabetes. The proposed retinal vessel enhancement, segmentation, optic disc (OD) and fovea detection algorithms provide fundamental t…
View article: Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images
Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images Open
The presented method is a critical work to obtain more complete curvilinear structures in ophthalmologic images. It provides better topological and geometric connectivities for further analysis.
View article: Retinal Microaneurysms Detection Using Local Convergence Index Features
Retinal Microaneurysms Detection Using Local Convergence Index Features Open
Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease. Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of blindness. In this paper, a novel and reliable metho…
View article: Multi-modal and multi-vendor retina image registration
Multi-modal and multi-vendor retina image registration Open
Multi-modal retinal image registration is often required to utilize the complementary information from different retinal imaging modalities. However, a robust and accurate registration is still a challenge due to the modality-varied resolu…
View article: Energy saving in vision at the first synapse: The ON and OFF pathways measure temporal differences
Energy saving in vision at the first synapse: The ON and OFF pathways measure temporal differences Open
The inner plexiform layer (IPL) of mammalian retina has a precise bisublaminar organization in an inner on- and an outer off-layer, innervated by spatially segregated on- and off-cone bipolar cell inputs. Also, the processes of starburst a…
View article: Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images
Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images Open
Tree-like structures, such as retinal images, are widely studied in computer-aided diagnosis systems for large-scale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist severa…
View article: Artery/vein classification using reflection features in retina fundus images
Artery/vein classification using reflection features in retina fundus images Open
Automatic artery/vein (A/V) classification is one of the important topics in retinal image analysis. It allows the researchers to investigate the association between biomarkers and disease progression on a huge amount of data for arteries …
View article: Template Matching via Densities on the Roto-Translation Group
Template Matching via Densities on the Roto-Translation Group Open
We propose a template matching method for the detection of 2D image objects that are characterized by orientation patterns. Our method is based on data representations via orientation scores, which are functions on the space of positions a…
View article: Infrastructure for Retinal Image Analysis
Infrastructure for Retinal Image Analysis Open
This paper introduces a retinal image analysis infrastructure for the automatic assessment of biomarkers related to early signs of diabetes, hypertension and other systemic diseases. The developed application provides several tools, namely…
View article: Cortically-Inspired Spectral Clustering for Connectivity Analysis in Retinal Images: Curvature Integration.
Cortically-Inspired Spectral Clustering for Connectivity Analysis in Retinal Images: Curvature Integration. Open
Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems in large-scale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist several l…
View article: Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images
Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images Open
Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems for large-scale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist several …
View article: Curvature Integration in a 5D Kernel for Extracting Vessel Connections\n in Retinal Images
Curvature Integration in a 5D Kernel for Extracting Vessel Connections\n in Retinal Images Open
Tree-like structures such as retinal images are widely studied in\ncomputer-aided diagnosis systems for large-scale screening programs. Despite\nseveral segmentation and tracking methods proposed in the literature, there\nstill exist sever…
View article: Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores Open
This paper presents a robust and fully automatic filter-based approach for retinal vessel segmentation. We propose new filters based on 3D rotating frames in so-called orientation scores, which are functions on the Lie-group domain of posi…
View article: What Can We Learn From The Brain? Functional Brain Mechanisms for Computer-Aided Diagnosis
What Can We Learn From The Brain? Functional Brain Mechanisms for Computer-Aided Diagnosis Open
Discoveries on brain mechanisms have really taken off.We see spectacular developments in deep learning and convolutional neural network applications, the mathematical understanding of functional circuits, and the availability of massively …
View article: Ultra-High Field MRI Post Mortem Structural Connectivity of the Human Subthalamic Nucleus, Substantia Nigra, and Globus Pallidus
Ultra-High Field MRI Post Mortem Structural Connectivity of the Human Subthalamic Nucleus, Substantia Nigra, and Globus Pallidus Open
This study shows that ultra-high field post mortem tractography allows for detailed 3D reconstruction of the projections of deep brain structures in humans. Although the results should be interpreted carefully, the newly identified connect…
View article: Template Matching on the Roto-Translation Group.
Template Matching on the Roto-Translation Group. Open
We propose a template matching method for the detection of 2D image objects that are characterized by orientation patterns. Our method is based on data representations via orientation scores, which are functions on the space of positions a…
View article: Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?
Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography? Open
Structural brain networks constructed based on diffusion-weighted MRI (dMRI) have provided a systems perspective to explore the organization of the human brain. Some redundant and nonexistent fibers, however, are inevitably generated in wh…
View article: Automated detection of cerebral microbleeds in patients with traumatic brain injury
Automated detection of cerebral microbleeds in patients with traumatic brain injury Open
In this paper a Computer Aided Detection (CAD) system is presented to automatically detect Cerebral Microbleeds (CMBs) in patients with Traumatic Brain Injury (TBI). It is believed that the presence of CMBs has clinical prognostic value in…
View article: Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection
Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection Open
The retinal fractal dimension (FD) is a measure of vasculature branching pattern complexity. FD has been considered as a potential biomarker for the detection of several diseases like diabetes and hypertension. However, conflicting finding…
View article: Retinal Vascular Tortuosity in Hospitalized Patients with Type 2 Diabetes and Diabetic Retinopathy in China
Retinal Vascular Tortuosity in Hospitalized Patients with Type 2 Diabetes and Diabetic Retinopathy in China Open
Context: Diabetic patients are at high risk for microvascular complications of disease such as diabetic retinopathy (DR) and diabetic neuropathy. Imaging the retinal micro-vasculature offers a chance to measure quantitatively the microvasc…
View article: Stability Analysis of Fractal Dimension in Retinal Vasculature
Stability Analysis of Fractal Dimension in Retinal Vasculature Open
Fractal dimension (FD) has been considered as a potential biomarker for retina-based disease detection. However, conflicting findings can be found in the reported literature regarding the association of the biomarker with diseases. This mo…