CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
Automated detection of curvilinear structures, eg, blood vessels or nerve fibres, from medical
and biomedical images is a crucial early step in automatic image interpretation associated to …
and biomedical images is a crucial early step in automatic image interpretation associated to …
3D vessel-like structure segmentation in medical images by an edge-reinforced network
The vessel-like structure in biomedical images, such as within cerebrovascular and nervous
pathologies, is an essential biomarker in understanding diseases' mechanisms and in …
pathologies, is an essential biomarker in understanding diseases' mechanisms and in …
PET/MR imaging: new frontier in Alzheimer's disease and other dementias
XY Zhang, ZL Yang, GM Lu, GF Yang… - Frontiers in molecular …, 2017 - frontiersin.org
Alzheimer's disease (AD) is the most common form of dementia; a progressive
neurodegenerative disease that currently lacks an effective treatment option. Early and …
neurodegenerative disease that currently lacks an effective treatment option. Early and …
Review of in silico models of cerebral blood flow in health and pathology
S Payne, TI Józsa, WK El-Bouri - Progress in Biomedical …, 2023 - iopscience.iop.org
In this review, we provide a summary of the state-of-the-art in the in silico modelling of
cerebral blood flow (CBF) and its application in in silico clinical trials. CBF plays a key role in …
cerebral blood flow (CBF) and its application in in silico clinical trials. CBF plays a key role in …
Automatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filter
Automated detection of vascular structures is of great importance in understanding the
mechanism, diagnosis, and treatment of many vascular pathologies. However, automatic …
mechanism, diagnosis, and treatment of many vascular pathologies. However, automatic …
Convolutional neural networks for the detection and measurement of cerebral aneurysms on magnetic resonance angiography
JN Stember, P Chang, DM Stember, M Liu… - Journal of digital …, 2019 - Springer
Aneurysm size correlates with rupture risk and is important for treatment planning. User
annotation of aneurysm size is slow and tedious, particularly for large data sets. Geometric …
annotation of aneurysm size is slow and tedious, particularly for large data sets. Geometric …
In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials
A Sarrami-Foroushani, T Lassila, M MacRaild… - Nature …, 2021 - nature.com
The cost of clinical trials is ever-increasing. In-silico trials rely on virtual populations and
interventions simulated using patient-specific models and may offer a solution to lower these …
interventions simulated using patient-specific models and may offer a solution to lower these …
High-throughput 3dra segmentation of brain vasculature and aneurysms using deep learning
F Lin, Y **a, S Song, N Ravikumar, AF Frangi - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objectives: Automatic segmentation of the cerebral vasculature
and aneurysms facilitates incidental detection of aneurysms. The assessment of aneurysm …
and aneurysms facilitates incidental detection of aneurysms. The assessment of aneurysm …
Newtonian and non-Newtonian blood flow in coiled cerebral aneurysms
HG Morales, I Larrabide, AJ Geers, ML Aguilar… - Journal of …, 2013 - Elsevier
Endovascular coiling aims to isolate the aneurysm from blood circulation by altering
hemodynamics inside the aneurysm and triggering blood coagulation. Computational fluid …
hemodynamics inside the aneurysm and triggering blood coagulation. Computational fluid …
StrokeNet: an automated approach for segmentation and rupture risk prediction of intracranial aneurysm
Intracranial Aneurysms (IA) present a complex challenge for neurosurgeons as the risks
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …