Paul Hérent
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View article: Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI
Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI Open
The reconstruction of images observed by subjects from fMRI data collected during visual stimuli has made strong progress in the past decade, thanks to the availability of extensive fMRI datasets and advancements in generative models for i…
View article: A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
A deep learning method for predicting knee osteoarthritis radiographic progression from MRI Open
Background The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs. Methods Using 9280 knee magnetic resonance (MR) …
View article: A Deep Learning Method for Identifying Predictors of Knee Osteoarthritis Radiographic Progression From Baseline MRI
A Deep Learning Method for Identifying Predictors of Knee Osteoarthritis Radiographic Progression From Baseline MRI Open
-- Background --The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs. -- Methods --Using data from the Osteoarthr…
View article: Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients Open
View article: Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images Open
As AI-based medical devices are becoming more common in imaging fields like radiology and histology, interpretability of the underlying predictive models is crucial to expand their use in clinical practice. Existing heatmap-based interpret…
View article: Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment
Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment Open
View article: AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients Open
The SARS-COV-2 pandemic has put pressure on Intensive Care Units, and made the identification of early predictors of disease severity a priority. We collected clinical, biological, chest CT scan data, and radiology reports from 1,003 coron…
View article: AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients Open
View article: AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients Open
The SARS-COV-2 pandemic has put pressure on Intensive Care Units, and made theidentification of early predictors of disease severity a priority. We collected clinical,biological, chest CT scan data, and radiology reports from 1,003 coronav…
View article: The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents
The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents Open
Inhibitory control (IC) plays a critical role in cognitive and socio-emotional development. Short-term IC training improves IC abilities in children and adults. Surprisingly, few studies have investigated the IC training effect during adol…
View article: Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindset
Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindset Open
Objectives: Define a clinically usable preprocessing pipeline for MRI data. Predict brain age using various machine learning and deep learning algorithms. Define Caveat against common machine learning traps. Data and Methods: We used 1597 …