Search Results - "FRINDEL, Carole"
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The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review
Published in Sensors (Basel, Switzerland) (14-07-2021)“…Gait, balance, and coordination are important in the development of chronic disease, but the ability to accurately assess these in the daily lives of patients…”
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Overcoming challenges of the human spinal cord tractography for routine clinical use: a review
Published in Neuroradiology (01-09-2020)“…The spinal cord (SC) is a dense network of billions of fibers in a small volume surrounded by bones that makes tractography difficult to perform. We aim to…”
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Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform
Published in Journal of signal processing systems (01-01-2023)“…Thanks to the recent development of sensors and Internet of Things (IoT), it is now common to use mobile application to monitor health status. These…”
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Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
Published in Scientific reports (29-01-2020)“…Gliomas are infiltrative brain tumors with a margin difficult to identify. 5-ALA induced PpIX fluorescence measurements are a clinical standard, but…”
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Transfer Learning from Synthetic Data Applied to Soil–Root Segmentation in X-Ray Tomography Images
Published in Journal of imaging (06-05-2018)“…One of the most challenging computer vision problems in the plant sciences is the segmentation of roots and soil in X-ray tomography. So far, this has been…”
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Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks
Published in Computers in biology and medicine (01-01-2018)“…The possible depth of imaging of laser-scanning microscopy is limited not only by the working distances of objective lenses but also by image degradation…”
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Impact of the reperfusion status for predicting the final stroke infarct using deep learning
Published in NeuroImage clinical (01-01-2021)“…[Display omitted] •Deep learning predictive models of the final stroke infarct may have better performances when trained on reperfusion status specific…”
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Full cervical cord tractography: A new method for clinical use
Published in Frontiers in neuroanatomy (27-09-2022)“…Despite recent improvements in diffusion-weighted imaging, spinal cord tractography is not used in routine clinical practice because of difficulties in…”
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Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space?
Published in Frontiers in robotics and AI (22-05-2020)“…We consider the detection of change in spatial distribution of fluorescent markers inside cells imaged by single cell microscopy. Such problems are important…”
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MicroVIP: Microscopy image simulation on the Virtual Imaging Platform
Published in SoftwareX (01-12-2021)“…MicroVIP is an open source software that assembles, in a unified web-application running on distributed computing resources, simulators of the main fluorescent…”
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Multicomponent and Longitudinal Imaging Seen as a Communication Channel—An Application to Stroke
Published in Entropy (Basel, Switzerland) (01-05-2017)“…In longitudinal medical studies, multicomponent images of the tissues, acquired at a given stage of a disease, are used to provide information on the fate of…”
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A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis
Published in PloS one (25-05-2016)“…Diffusion tensor imaging (DTI) is a sensitive tool for the assessment of microstructural alterations in brain white matter (WM). We propose a new processing…”
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Effect of distortion corrections on the tractography quality in spinal cord diffusion‐weighted imaging
Published in Magnetic resonance in medicine (01-06-2021)“…Purpose To assess the impact of a different distortion correction (DC) method and patient geometry (sagittal balance) on the quality of spinal cord…”
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The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review
Published in Sensors (Basel, Switzerland) (2021)“…Gait, balance, and coordination are important in the development of chronic disease, but the ability to accurately assess these in the daily lives of patients…”
Get full text
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Modeling and hexahedral meshing of cerebral arterial networks from centerlines
Published in Medical image analysis (2023)Get full text
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Deep Vessel Segmentation Based on a New Combination of Vesselness Filters
Published in 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (27-05-2024)“…Vascular segmentation represents a crucial clinical task, yet its automation remains challenging. Because of the recent strides in deep learning, vesselness…”
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Conference Proceeding -
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Atlas-guided brain projection tracts: From regions of interest to tractography 3D rendering
Published in Journal of anatomy (11-08-2024)“…The use of diffusion tensor imaging (DTI) has seen significant development over the last two decades, in particular with the development of the tractography of…”
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Modeling and hexahedral meshing of cerebral arterial networks from centerlines
Published in Medical image analysis (01-10-2023)“…Computational fluid dynamics (CFD) simulation provides valuable information on blood flow from the vascular geometry. However, it requires extracting precise…”
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Journal Article -
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Monte Carlo simulation of water diffusion through cardiac tissue models
Published in Medical engineering & physics (01-10-2023)“…Monte Carlo diffusion simulations are commonly used to establish a reliable ground truth of tissue microstructure, including for the validation of…”
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Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review
Published in Neurosurgery (01-02-2019)“…Abstract BACKGROUND Diffusion imaging tractography caught the attention of the scientific community by describing the white matter architecture in vivo and…”
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Journal Article