Sagnier, Sharmila Catheline, Gwenaëlle Dilharreguy, Bixente Linck, Pierre-Antoine Coupé, Pierrick Munsch, Fanny Bigourdan, Antoine Poli, Mathilde Debruxelles, Sabrina Renou, Pauline
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Published in
Translational stroke research
Microstructural changes after an ischemic stroke (IS) have mainly been described in white matter. Data evaluating microstructural changes in gray matter (GM) remain scarce. The aim of the present study was to evaluate the integrity of GM on longitudinal data using mean diffusivity (MD), and its influence on post-IS cognitive performances. A prospec...
Hussein, Burhan Rashid Meurée, Cédric Gaubert, Malo Masson, Arthur Kerbrat, Anne Combès, Benoît Galassi, Francesca
Multiple sclerosis (MS) patients often present hyper-intense T2-w lesions in the spinal cord. The severe imbalance between background and lesion classes poses a major challenge to Deep Learning segmentation approaches, requiring for ad hoc strategies. Careful selection of the loss function and adjustment of the conventional 0.5-thresholding may hel...
Huang, Ling Ruan, Su Denoeux, Thierry
The investigation of uncertainty is of major importance in risk-critical applications, such as medical image segmentation. Belief function theory, a formal framework for uncertainty analysis and multiple evidence fusion, has made significant contributions to medical image segmentation, especially since the development of deep learning. In this pape...
Hermann, Anne-Laure Soupre, Veronique Vande Perre, Saskia Guilbaud, Lucie Quenum-Miraillet, Genevieve Blondiaux, Eléonore Picard, Arnaud Jouannic, Jean-Marie Dhombres, Ferdinand Garel, Catherine
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Introduction: we aim to correlate pre-and postnatal data regarding the cleft type and surgical prognostic factors associated to orofacial clefts. Methods: retrospective study concerning all cases of orofacial cleft evaluated prenatally (US+/-MRI) between 2015 and 2020 with available postnatal outcome. We compared prenatal imaging (cleft type and su...
Michiels, Clément Khene, Zine-Eddine Prudhomme, Thomas Boulenger de Hauteclocque, Astrid Cornelis, François H Percot, Mélanie Simeon, Hélène Dupitout, Laure Bensadoun, Henri Capon, Grégoire
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Published in
World journal of urology
Robot-assisted partial nephrectomy (RAPN) is a difficult procedure with risk of significant perioperative complications. The objective was to evaluate the impact of preoperative planning and intraoperative guidance with 3D model reconstructions on perioperative outcomes of RAPN. We conducted a retrospective analysis of all patients who underwent RA...
Porciuncula Baptista, Renata Naudin, Mathieu Giliyar Radhakrishna, Chaithya Daval-Frérot, Guillaume Mauconduit, Franck Haeger, Alexa Romanzetti, Sandro Lapert, Marc Ciuciu, Philippe Rabrait-Lerman, Cécile
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Purpose: To evaluate the benefits of SPARKLING, a stochastic k-space sampling approach over the deterministic sampling scheme TPI (Twisted Projection Imaging) in the context of accelerated cerebral $^{23}$Na MRI and assessing its impact on tissue sodium concentration (TSC) estimation.Methods: Guided by simulation results, in vitro and in vitro UTE ...
Vakalopoulou, Maria Christodoulidis, Stergios Burgos, Ninon Colliot, Olivier Lepetit, Vincent
Deep learning belongs to the broader family of machine learning methods and currently provides state-of-the-art performance in a variety of fields, including medical applications. Deep learning architectures can be categorized into different groups depending on their components. However, most of them share similar modules and mathematical formulati...
Couteaux, Vincent Zhang, Cheng Mulé, Sébastien Milot, Laurent Valette, Pierre-Jean Raynaud, Caroline Vlachomitrou, Anna Sesilia Ciofolo-Veit, Cybele Lawrance, Littisha Belkouchi, Younes
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International audience
Bentatou, Zakarya Troalen, Thomas Bernard, Monique Guye, Maxime Pini, Lauriane Bartoli, Axel Jacquier, Alexis Kober, Frank Rapacchi, Stanislas
Published in
Magnetic resonance imaging
This study evaluates the possibility for replacing conventional 3 slices, 3 breath-holds MOLLI cardiac T1 mapping with single breath-hold 3 simultaneous multi-slice (SMS3) T1 mapping using blipped-CAIPIRINHA SMS-bSSFP MOLLI sequence. As a major drawback, SMS-bSSFP presents unique artefacts arising from side-lobe slice excitations that are explained...
Kmetzsch, Virgilio Becker, Emmanuelle Saracino, Dario Rinaldi, Daisy Camuzat, Agnes Le Ber, Isabelle Colliot, Olivier
Frontotemporal dementia and amyotrophic lateral sclerosis are rare neurodegenerative diseases with no effective treatment. The development of biomarkers allowing an accurate assessment of disease progression is crucial for evaluating new therapies. Concretely, neuroimaging and transcriptomic (microRNA) data have been shown useful in tracking their ...
