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Published in Neuropsychologia, 2018
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Recommended citation: Indrit Bègue, Rebekah Blakemore, Julian Klug, Yann Cojan, Silvio Galli, Alexandre Berney, Selma Aybek, Patrik Vuilleumier, "Metacognition of visuomotor decisions in conversion disorder." Neuropsychologia, 2018.
Published in Journal of Neurological Surgery. Part B, Skull Base, 2020
Recommended citation: Osama Tarabichi, Vivek Kanumuri, Julian Klug, Nicolas Vachicouras, Maria Duarte, Lorenz Epprecht, Elliott Kozin, Katherine Reinshagen, Stéphanie Lacour, M Brown, Daniel Lee, "Three-Dimensional Surface Reconstruction of the Human Cochlear Nucleus: Implications for Auditory Brain Stem Implant Design." Journal of Neurological Surgery. Part B, Skull Base, 2020. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082162/
Published in In the proceedings of Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
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Recommended citation: Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Preti, Dimitri Van, Emmanuel Carrera, "Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions." In the proceedings of Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021.
Published in Journal of Cerebral Blood Flow & Metabolism, 2021
Recommended citation: Julian Klug, Elisabeth Dirren, Maria Preti, Paolo Machi, Andreas Kleinschmidt, Maria Vargas, Dimitri Van, Emmanuel Carrera, "Integrating regional perfusion CT information to improve prediction of infarction after stroke." Journal of Cerebral Blood Flow & Metabolism, 2021. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922756/
Published in World Journal of Gastroenterology, 2021
Recommended citation: Simon Bourcier, Julian Klug, Lee Nguyen, "Non-occlusive mesenteric ischemia: Diagnostic challenges and perspectives in the era of artificial intelligence." World Journal of Gastroenterology, 2021. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311528/
Published in Revue Medicale Suisse, 2021
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Recommended citation: Julian Klug, Benjamin Mach, Grégoire Racine, Mallory Moret, "Covid-19 : ne pas mettre la charrue avant les bœufs [COVID-19: Do not put the cart before the horse]." Revue Medicale Suisse, 2021.
Published in NeuroImage, 2021
Recommended citation: Elisabeth Dirren, Alexia Bourgeois, Julian Klug, Andreas Kleinschmidt, Mitsouko Assche, Emmanuel Carrera, "The neural correlates of intermanual transfer." NeuroImage, 2021. https://www.sciencedirect.com/science/article/pii/S1053811921009307
Published in Stroke, 2022
Publisher: American Heart Association
Recommended citation: Mitsouko Assche, Julian Klug, Elisabeth Dirren, Jonas Richiardi, Emmanuel Carrera, "Preparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke." Stroke, 2022. https://www.ahajournals.org/doi/10.1161/STROKEAHA.121.037372
Published in Critical Care, 2024
Recommended citation: Klug, J., Pietsch, U. Can artificial intelligence help for scientific illustration? Details matter. Crit Care 28, 196 (2024). https://doi.org/10.1186/s13054-024-04970-8
Published in Critical Care Explorations, 2024
Recommended citation: Klug, Julian; Martins, Joana; De Trizio, Ignazio; Carrera, Emmanuel; Filipovic, Miodrag; Hostettler, Isabel Charlotte; Pietsch, Urs. Dynamically Normalized Pupillometry for Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage. Critical Care Explorations 6(8):p e1135, August 2024. | DOI: 10.1097/CCE.0000000000001135 https://journals.lww.com/ccejournal/fulltext/2024/08000/dynamically_normalized_pupillometry_for_detecting.2.aspx
Published in Nature Communications Medicine, 2024
Recommended citation: Klug, J., Leclerc, G., Dirren, E. et al. Machine learning for early dynamic prediction of functional outcome after stroke. Commun Med 4, 232 (2024). https://doi.org/10.1038/s43856-024-00666-w
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Lombalgie chronique et poussées aigues en médecine de premier recours.
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Perfusion CT is widely used in acute ischemic stroke to determine eligibility for acute treatment, by defining an ischemic core and penumbra. In this talk held at the Brain Lesion Workshop at MICCAI 2020, we presented a novel way of building on prior information for the automatic prediction and segmentation of stroke lesions. We reformulate the task to identify differences from a prior segmentation by extending a three-dimensional Attention Gated Unet with a skip connection allowing only an unchanged prior to bypass most of the network. We show that this technique improves results obtained by a baseline Attention Gated Unet on both the Geneva Stroke Dataset and the ISLES 2018 dataset.
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Physiological evidence suggests that perfusion characteristics (vascular supply, collateral blood flow) of neighbouring brain regions can be highly correlated. We investigated whether integrating perfusion information from the area surrounding a given voxel (i.e. the receptive field) improves the prediction of infarction of this voxel.
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Syndrome de renutrition inappropriée.
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Hypertension aigue: Urgences et Non-Urgences.
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Activité électrique sans pouls: du choc profond à l’asystole.
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Allergies aux beta-lactames, concepts, conséquences et stratégies.
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Réactions transfusionnelles.
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Hepatorenal Syndrome (HRS-AKI).
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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