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Privacy-Preserving and Explainable AI for Cardiovascular Imaging
2021
Studies in Informatics and Control
Preserved Fulltext
Artificial intelligence (AI) based medical image analysis algorithms provide nowadays state-of-the-art results in CVD management, mainly due to the increase in computational power and data storage capacities ...
It also presents examples related to the diagnosis of stable coronary artery disease, a whole-body circulation model for the assessment of structural heart disease, and to the diagnosis and treatment planning ...
In a modular approach, different components are responsible for coronary artery centerline detection, lumen segmentation, and functional assessment. ...
doi:10.24846/v30i2y202102
fatcat:okrt7mh4ora6hisrdqzf776hta
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
[article]
2020
arXiv
pre-print
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In addition, SenseCare is clinic-oriented and supports a wide range of clinical applications such as diagnosis and surgical planning for lung cancer, pelvic tumor, coronary artery disease, etc. ...
Clinical research on smart healthcare has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications. ...
The architecture of SenseCare follows a modular structure that consists of three layers: 1) basic functional modules such as data management and visualization, web-based access and multi-center deployment ...
arXiv:2004.07031v1
fatcat:aczelk3365ftniy2vt7tcxwe7i
A Re-Engineered Software Interface and Workflow for the Open-Source SimVascular Cardiovascular Modeling Package
2018
Journal of Biomechanical Engineering
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Additional improvements include enhanced data/project management, interactive tools to facilitate user interaction, new boundary condition (BC) functionality, plug-in mechanism to increase modularity, ...
a new 3D segmentation tool, and new computer-aided design (CAD)based solid modeling capabilities. ...
Funding Data Directorate for Computer and Information Science and Engineering (Grant Nos. 1339824 and 1663671). ...
doi:10.1115/1.4038751
pmid:29238826
pmcid:PMC5816252
fatcat:t4issy2ofrdfdgjwvon5uoj654
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises
[article]
2020
arXiv
pre-print
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It is known that the success of AI is mostly attributed to the availability of big data with annotations for a single task and the advances in high performance computing. ...
We conclude with a discussion and presentation of promising future directions. ...
One end-to-end trainable approach for the extraction of the coronary centerline has been proposed in [168] . ...
arXiv:2008.09104v1
fatcat:z2gic7or4vgnnfcf4joimjha7i
Cognitive AutonomouS CAtheters Operating in Dynamic Environments
2016
Journal of Medical Robotics Research
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In cardiovascular procedures interventionalists turn towards catheter-based interventions, treating patients considered unfit for more invasive approaches. A positive outcome is not guaranteed. ...
in Dynamic Environments (CASCADE). ...
The authors wish to express their gratitude towards Volcano Corporation (Volcano Europe) for making their US system available for the purpose of the here conducted research. 1640011 ISSN: 2424-905X ...
doi:10.1142/s2424905x16400110
fatcat:3qnzvdbv2ngirileon7ulf7yiu
CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020
2020
International Journal of Computer Assisted Radiology and Surgery
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A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and ...
Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are ...
We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way. ]. ...
doi:10.1007/s11548-020-02171-6
pmid:32514840
fatcat:lyhdb2zfpjcqbf4mmbunddwroq
Posters
2013
Clinical and translational imaging
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Single-photon emission computed tomography (SPECT) is a functional imaging technique that can provide additional and useful information during the diagnostic work-up and follow-up of brain lesions. ...
In this setting, few data exist on PET with amino acid tracers. ...
A TID ratio ≥1.19 was detectable in 32 (13%) of the 242 patients with coronary angiography and in 76 (17%) of the 450 not referred for coronary angiography (p=0.25). ...
doi:10.1007/s40336-013-0002-6
fatcat:jfrptu6wuvhjvfss4iobwqfk2q
Preoperative Surgical Planning
2020
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In the first, a flexible robot would drill a nonlinear canal through the mastoid, allowing a surgeon access to the temporal bone's apex, a target often unreachable without damaging critical risk structures ...
Major contributions include an automatic shape regularized segmentation approach for coherent anatomy extraction as well as an exhaustive trajectory planning step on locally optimized Bézier Splines. ...
[152] add a refinement strategy for the facial nerve based on a super resolution approach on in Cone Beam Computed Tomography (CBCT) images. ...
doi:10.25534/tuprints-00011752
fatcat:4slobdksjjggxpjcoaiqufbje4
Dário Augusto Borges Oliveira A Linear Programming Approach to Vascular Network Segmentation from a Single Seed Point TESE DE DOUTORADO A Linear Programming Approach to Vascular Network Segmentation from a Single Seed Point All rights reserved
2013
unpublished
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Non-invasive exams, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), are increasingly replacing invasive angiography in examining and visualizing vessels. ...
Coronary Data A very important application for vascular segmentation concerns the cardiac vessels. ...
fatcat:fl45lj2g65dsbkamjo662iz6km
Automated Patient-Specific Modeling of Blood Flow and Vessel Wall Mechanics in Aortic
2009
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For the blood flow and vessel wall computations, individual mesh generation techniques and numerical models for CSM, CFD and FSI were generated and implemented based on CT/MRI images. ...
This work presents a numerical approach to non-invasively help the diagnosis of patients with vascular pathologies on an individual basis. ...
Segmentation of the CT/MRI images Patient-specific modeling is based on morphological data derived from either computed tomography (CT) or magnetic resonance imaging (MRI) scans. ...
doi:10.5445/ir/1000019925
fatcat:rjb37ccq7vfapeimubimqtmufi