User profiles for Carole Frindel
 | Carole FRINDELAssociate Professor, HDR, University of Lyon, CREATIS, France Verified email at creatis.insa-lyon.fr Cited by 1144 |
[HTML][HTML] Impact of the reperfusion status for predicting the final stroke infarct using deep learning
Background Predictive maps of the final infarct may help therapeutic decisions in acute
ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion …
ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion …
[HTML][HTML] Transfer learning from synthetic data applied to soil–root segmentation in x-ray tomography images
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 addressed using classical …
of roots and soil in X-ray tomography. So far, this has been addressed using classical …
[HTML][HTML] The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review
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 may be limited by traditional …
ability to accurately assess these in the daily lives of patients may be limited by traditional …
On the robustness of machine learning algorithms toward microfluidic distortions for cell classification via on-chip fluorescence microscopy
Single-cell imaging and sorting are critical technologies in biology and clinical applications.
The power of these technologies is increased when combined with microfluidics, …
The power of these technologies is increased when combined with microfluidics, …
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke
The problem of final tissue outcome prediction of acute ischemic stroke is assessed from
physically realistic simulated perfusion magnetic resonance images. Different types of …
physically realistic simulated perfusion magnetic resonance images. Different types of …
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones…
users rely on mobile applications to monitor their physical activity through their smartphones…
Overcoming challenges of cranial nerve tractography: a targeted review
BACKGROUND Diffusion imaging tractography caught the attention of the scientific community
by describing the white matter architecture in vivo and noninvasively, but its application to …
by describing the white matter architecture in vivo and noninvasively, but its application to …
[HTML][HTML] Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
Gliomas are infiltrative brain tumors with a margin difficult to identify. 5-ALA induced PpIX
fluorescence measurements are a clinical standard, but expert-based classification models still …
fluorescence measurements are a clinical standard, but expert-based classification models still …
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke
We address the medical image analysis issue of predicting the final lesion in stroke from
early perfusion magnetic resonance imaging. The classical processing approach for the …
early perfusion magnetic resonance imaging. The classical processing approach for the …
Toward privacy in IoT mobile devices for activity recognition
Recent advances in wireless sensors for personal healthcare allow to recognise human real-time
activities with mobile devices. While the analysis of those datastream can have many …
activities with mobile devices. While the analysis of those datastream can have many …