Results 11 to 20 of about 46,795 (162)
Comparative study of flow fluctuations in ruptured and unruptured intracranial aneurysms: A lattice Boltzmann study [PDF]
arXiv, 2023 Flow fluctuations have recently emerged as a promising hemodynamic metric for understanding the rupture risk of intracranial aneurysms. Several investigations have reported in the literature corresponding flow instabilities using established computational fluid dynamics tools.
arxiv
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning [PDF]
arXiv, 2022 Intracranial aneurysms are common nowadays and how to detect them intelligently is of great significance in digital health. While most existing deep learning research focused on medical images in a supervised way, we introduce an unsupervised method for the detection of intracranial aneurysms based on 3D point cloud data.
arxiv
nnDetection for Intracranial Aneurysms Detection and Localization [PDF]
arXiv, 2023 Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3.2% of the general population. Consequently, detecting these aneurysms plays a crucial role in their management. Lesion detection involves the simultaneous localization and categorization of abnormalities within medical images.
arxiv
Proposal for Numerical Benchmarking of Fluid-Structure Interaction in Cerebral Aneurysms [PDF]
arXiv, 2023 Computational fluid dynamics is intensively used to deepen the understanding of aneurysm growth and rupture in the attempt to support physicians during therapy planning. Numerous studies have assumed fully-rigid vessel walls in their simulations, whose sole hemodynamics may fail to provide a satisfactory criterion for rupture risk assessment. Moreover,
arxiv
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms [PDF]
arXiv, 2020 The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentation task, their performance remains limited. In this study, we offer a two-step surface-based deep learning pipeline that achieves significantly higher performance.
arxiv
Poiseuille Flow of a Non-Local Non-Newtonian Fluid with Wall Slip: A First Step in Modeling Cerebral Microaneurysms [PDF]
Fractal and Fractional Vol. 2, No. 1, 9 (2018), 2018 Cerebral aneurysms and microaneurysms are abnormal vascular dilatations with high risk of rupture. An aneurysmal rupture could cause permanent disability and even death. Finding and treating aneurysms before their rupture is very difficult since symptoms can be easily attributed mistakenly to other common brain diseases.
arxiv +1 more source
Implications of Artificial Intelligence in Stroke Intervention and Care
iRADIOLOGY, EarlyView.The implication of AI based algorithms in preclinical and clinical stroke studies → Efficiency of post‐stroke analysis of animal behavioral and motor function in preclinical models have been improved by AI‐based methods. In clinical scenario, population‐based risk‐prediction as well as post‐stroke diagnosis, treatment and rehabilitation has been ...
Jyoti Yadav +8 more
wiley +1 more source
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet [PDF]
arXiv, 2023 Accurate identification and quantification of unruptured intracranial aneurysms (UIAs) is crucial for the risk assessment and treatment of this cerebrovascular disorder. Current 2D manual assessment on 3D magnetic resonance angiography (MRA) is suboptimal and time-consuming.
arxiv
Magnetic Continuum Robot for Intelligent Manipulation in Medical Applications
SmartBot, EarlyView.ABSTRACT Magnetic continuum robots (MCRs) have garnered substantial attention as a new class of flexible robotic systems capable of navigating complex and confined spaces with remarkable dexterity. By combining continuous, deformable structures with remotely applied magnetic fields, MCRs achieve contactless, remote manipulation, making them well‐suited
Yuanbiao Ma +9 more
wiley +1 more source
BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.ABSTRACT Objective We aim to increase knowledge on pregnancy and delivery risks in vascular Ehlers–Danlos Syndrome (vEDS). Our outcomes can contribute to establishing future guidelines for pregnancy and delivery management in women with vEDS. Design Retrospective multicentre cohort study.
Lisa M. van den Bersselaar +13 more
wiley +1 more source