Search Results - "Herent, Paul"

A deep learning method for predicting knee osteoarthritis radiographic progression from MRI by Schiratti, Jean-Baptiste, Dubois, Rémy, Herent, Paul, Cahané, David, Dachary, Jocelyn, Clozel, Thomas, Wainrib, Gilles, Keime-Guibert, Florence, Lalande, Agnes, Pueyo, Maria, Guillier, Romain, Gabarroca, Christine, Moingeon, Philippe

“…Background The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the…”
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The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents by Salvia, Emilie, Tissier, Cloélia, Charron, Sylvain, Herent, Paul, Vidal, Julie, Lion, Stéphanie, Cassotti, Mathieu, Oppenheim, Catherine, Houdé, Olivier, Borst, Grégoire, Cachia, Arnaud

“…•ReHo and fALFF signals differentially predict Cool and Hot IC in adolescents.•Cool and Hot IC efficiency did not improve after IC training.•ReHo and fALFF…”
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Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment by Blanc-Durand, P., Schiratti, J.-B., Schutte, K., Jehanno, P., Herent, P., Pigneur, F., Lucidarme, O., Benaceur, Y., Sadate, A., Luciani, A., Ernst, O., Rouchaud, A., Creze, M., Dallongeville, A., Banaste, N., Cadi, M., Bousaid, I., Lassau, N., Jegou, S.

“…The purpose of this study was to build and train a deep convolutional neural networks (CNN) algorithm to segment muscular body mass (MBM) to predict muscular…”
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Promptable foundation model for automatic whole body RECIST measurement by Hérent, Paul, Philippe, Hélène, Ferreres, Elodie, Machado, Leo, Dancette, Corentin, Khlaut, Julien, Manceron, Pierre, Tordjman, Daniel

“…e13643 Background: RECIST 1.1 is the gold standard for tumor evaluation in clinical trials and patient care. However, it faces challenges due to the subjective…”
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Efficient Medical Question Answering with Knowledge-Augmented Question Generation by Khlaut, Julien, Dancette, Corentin, Ferreres, Elodie, Bennani, Alaedine, Hérent, Paul, Manceron, Pierre

“…In the expanding field of language model applications, medical knowledge representation remains a significant challenge due to the specialized nature of the…”
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Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI by Caselles-Dupré, Hugo, Mellerio, Charles, Hérent, Paul, Lopez-Persem, Alizée, Béranger, Benoit, Soularue, Mathieu, Fautrel, Pierre, Vernier, Gauthier, Cord, Matthieu

“…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…”
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ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation by Machado, Léo, Philippe, Hélène, Ferreres, Élodie, Khlaut, Julien, Dupuis, Julie, Floch, Korentin Le, Gatenyo, Denis Habip, Roux, Pascal, Grégory, Jules, Ronot, Maxime, Dancette, Corentin, Boeken, Tom, Tordjman, Daniel, Manceron, Pierre, Hérent, Paul

“…Carcinogenesis is a proteiform phenomenon, with tumors emerging in various locations and displaying complex, diverse shapes. At the crucial intersection of…”
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Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images by Schutte, Kathryn, Moindrot, Olivier, Hérent, Paul, Schiratti, Jean-Baptiste, Jégou, Simon

“…As AI-based medical devices are becoming more common in imaging fields like radiology and histology, interpretability of the underlying predictive models is…”
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