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1. Penetration depth of Cooper pairs in the IrMn antiferromagnet

Author

Seeger, R. L., Forestier, G., Gladii, O., Leiviskä, M., Auffret, S., Joumard, I., Gomez, C., Rubio-Roy, M., Buzdin, A. I., Houzet, M., and Baltz, V.

Subjects
Condensed Matter - Materials Science
Abstract

Suppression of superconductivity due to the proximity effect between a superconductor and a ferromagnet can be partially alleviated when a Cooper pair simultaneously samples different directions of the short-range exchange field. The superconductor's critical temperature, TC, is therefore expected to partially recover when the ferromagnet is in a multi-domain state, as opposed to a single-domain state. Here, we discuss series of experiments performed with ferromagnet(Pt/Co)/spacer(IrMn and Pt)/superconductor(NbN) heterostructures. By tuning the various parameters in play, e.g., superconducting coherence length-to-thicknesses ratio, and domain sizes, we obtained up to 10 percent recovery of the superconducting critical temperature {\Delta}TC/TC. This large-scale recovery made novel investigations possible. In particular, from the spacer thickness-dependence of {\Delta}TC/TC, it was possible to deduce the characteristic length for Cooper pair penetration in an IrMn antiferromagnet. This information is crucial for electronic transport, and up to now has been difficult to access experimentally for antiferromagnets.

Published
2021
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2. Self-induced inverse spin Hall effect in ferromagnets: demonstration through non-monotonous temperature-dependence in permalloy

Author

Gladii, O., Frangou, L., Hallal, A., Seeger, R. L., Noel, P., Forestier, G., Auffret, S., Rubio-Roy, M., Warin, P., Vila, L., Wimmer, S., Ebert, H., Gambarelli, S., Chshiev, M., and Baltz, V.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

We investigated the self-induced inverse spin Hall effect in ferromagnets. Temperature (T), thickness (t) and angular-dependent measurements of transverse voltage in spin pumping experiments were performed with permalloy films. Results revealed non-monotonous T-dependence of the self-induced transverse voltage. Qualitative agreement was found with first-principle calculations unravelling the skew scattering, side-jump, and intrinsic contributions to the T-dependent spin Hall conductivity. Experimental data were similar whatever the material in contact with permalloy (oxides or metals), and revealed an increase of produced current with t, demonstrating a bulk origin of the effect.

Published
2019
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3. Stacking order-dependent sign-change of microwave phase due to eddy currents in nanometer-scale NiFe/Cu heterostructures

Author

Gladii, O., Seeger, R. L., Frangou, L., Forestier, G., Ebels, U., Auffret, S., and Baltz, V.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

In the field of spintronics, ferromagnetic/non-magnetic metallic multilayers are core building blocks for emerging technologies. Resonance experiments using stripline transducers are commonly used to characterize and engineer these stacks for applications. Up to now in these experiments, the influence of eddy currents on the excitation of the dynamics of ferromagnetic magnetization below the skin-depth limit was most often neglected. Here, using a coplanar stripline transducer, we experimentally investigated the broadband ferromagnetic resonance response of NiFe/Cu bilayers a few nanometers thick in the sub-skin-depth regime. Asymmetry in the absorption spectrum gradually built up as the excitation frequency and Cu-layer thickness increased. Most significantly, the sign of the asymmetry depended on the stacking order. Experimental data were consistent with a quantitative analysis considering eddy currents generated in the Cu layers and the subsequent phaseshift of the feedback magnetic field generated by the eddy currents. These results extend our understanding of the impact of eddy currents below the microwave magnetic skin-depth and explain the lineshape asymmetry and phase lags reported in stripline experiments.

Published
2019
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4. Spin pumping as a generic probe for linear spin fluctuations: demonstration with ferromagnetic and antiferromagnetic orders, metallic and insulating electrical states

Author

Gladii, O., Frangou, L., Forestier, G., Seeger, R. L., Auffret, S., Rubio-Roy, M., Weil, R., Mougin, A., Gomez, C., Jahjah, W., Jay, J. -P., Dekadjevi, D., Spenato, D., Gambarelli, S., and Baltz, V.

Subjects
Condensed Matter - Materials Science
Abstract

We investigated spin injection by spin pumping from a spin-injector(NiFe) into a spin-sink to detect spin fluctuations in the spin-sink. By scanning the ordering-temperature of several magnetic transitions, we found that enhanced spin pumping due to spin fluctuations applies with several ordering states: ferromagnetic(Tb) and antiferromagnetic(NiO, NiFeOx, BiFeO3, exchange-biased and unbiased IrMn). Results also represent systematic experimental investigation supporting that the effect is independent of the metallic and insulating nature of the spin-sink, and is observed whether the spin current probe involves electronic or magnonic transport, facilitating advances in material characterization and engineering for spintronic applications.

Published
2019
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5. Prospective assessment of aneurysmal rupture risk scores in patients with subarachnoid hemorrhage: a multicentric cohort

Author

Lognon, P., Gariel, F., Marnat, G., Darcourt, J., Constant dit Beaufils, P., Burel, J., Shotar, E., Hak, J. F., Fauché, C., Kerleroux, B., Guédon, A., Ognard, J., Forestier, G., Pop, R., Paya, C., Veyrières, J. B., Sporns, P., Girot, J. B., Zannoni, R., Zhu, F., Crespy, A., L’Allinec, V., Mihoc, D., Rouchaud, A., Gentric, J. C., Ben Hassen, W., Raynaud, N., Testud, B., Clarençon, F., Kaczmarek, B., Bourcier, R., Bellanger, G., Boulouis, G., and Janot, Kevin

Published
2022
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6. Unraveling the influence of electronic and magnonic spin current injection near the magnetic ordering transition of IrMn metallic antiferromagnets

Author

Gladii, O., Frangou, L., Forestier, G., Seeger, R. L., Auffret, S., Joumard, I., Rubio-Roy, M., Gambarelli, S., and Baltz, V.

Subjects
Condensed Matter - Materials Science
Abstract

Although spin injection at room temperature in an IrMn metallic antiferromagnet strongly depends on the transport regime, and is more efficient in the case of magnonic transport, in this article, we present experimental data demonstrating that the enhanced efficiency of spin injection caused by spin fluctuations near the ordering temperature can be as efficient for the electronic and magnonic transport regimes. By selecting representative interacting environments, we also demonstrated that the amplification of spin injection near the ordering temperature of the IrMn antiferromagnet is independent of exchange coupling with an adjacent NiFe ferromagnet. In addition, our findings confirm that the spin current carried by magnons penetrates deeper than that transported by conduction electrons in IrMn. Finally, our data indicates that the value of the ordering temperature for the IrMn antiferromagnet is not significantly affected by either the electronic or magnonic nature of the spin current probe, or by exchange coupling.

Published
2018
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8. Relaxation mechanism driven by spin angular momentum absorption throughout antiferromagnetic phase transition in NiFe surface oxides

Author

Frangou, L., Forestier, G., Auffret, S., Gambarelli, S., and Baltz, V.

Subjects
Condensed Matter - Materials Science
Abstract

We report an alternative mechanism for the physical origin of the temperature-dependent ferromagnetic relaxation of Permalloy (NiFe) thin films. Through spin-pumping experiments, we demonstrate that the peak in the temperature-dependence of NiFe damping can be understood in terms of enhanced spin angular momentum absorption at the magnetic phase transition in antiferromagnetic surface-oxidized layers. These results suggest new avenues for the investigation of an incompletely-understood phenomenon in physics.

Published
2016
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13. MULTISENGE: A MULTIMODAL AND MULTITEMPORAL BENCHMARK DATASET FOR LAND USE/LAND COVER REMOTE SENSING APPLICATIONS

Author

Wenger, R., Puissant, A., Weber, J., Idoumghar, L., and Forestier, G.

Abstract

This paper presents MultiSenGE that is a new large scale multimodal and multitemporal benchmark dataset covering one of the biggest administrative region located in the Eastern part of France. MultiSenGE contains 8,157 patches of 256 × 256 pixels for the Sentinel-2 L2A , Sentinel-1 GRD images in VV-VH polarization and a Regional large scale Land Use/Land Cover (LULC) topographic reference database. With MultiSenGE, we contribute to the recents developments towards shared data use and machine learning methods in the field of environmental science. The purpose of this dataset is to propose relevant and easy-access dataset to explore deep learning methods. We use MultiSenGE to evaluate the performance for urban areas using well-known deep learning techniques. These results serve as a baseline for future research on remote sensing applications using the multi-temporal and multimodal aspects of MultiSenGE. With all patches georeferenced at a 10 meters spatial resolution covering the whole Grand-Est Region, MultiSenGE provides an opportunity for environmental benchmark dataset will help to advance data-driven techniques for land use/land cover remote sensing applications.

Published
2022
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18. Penetration depth of Cooper pairs in the IrMn antiferromagnet

Author

Seeger, R. L., primary, Forestier, G., additional, Gladii, O., additional, Leiviskä, M., additional, Auffret, S., additional, Joumard, I., additional, Gomez, C., additional, Rubio-Roy, M., additional, Buzdin, A. I., additional, Houzet, M., additional, and Baltz, V., additional

Published
2021
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19. Noninvasive Angiographic Results of Clipped or Coiled Intracranial Aneurysms: An Inter- and Intraobserver Reliability Study

Author

Benomar, A., primary, Farzin, B., additional, Gevry, G., additional, Boisseau, W., additional, Roy, D., additional, Weill, A., additional, Iancu, D., additional, Guilbert, F., additional, Létourneau-Guillon, L., additional, Jacquin, G., additional, Chaalala, C., additional, Bojanowski, M.W., additional, Labidi, M., additional, Fahed, R., additional, Volders, D., additional, Nguyen, T.N., additional, Gentric, J.-C., additional, Magro, E., additional, Boulouis, G., additional, Forestier, G., additional, Hak, J.-F., additional, Ghostine, J.S., additional, Kaderali, Z., additional, Shankar, J.J., additional, Kotowski, M., additional, Darsaut, T.E., additional, and Raymond, J., additional

Published
2021
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21. Brain MRI Findings in Severe COVID-19: A Retrospective Observational Study

Author

Kremer, S. (Stéphane), Boulay, C. (Clotilde), de Sèze, J. (Jérome), Ferré, J. (Jean-Christophe), Maamar, A. (Adel), Carsin-Nicol, B. (Béatrice), Collange, O. (Olivier), Bonneville, F. (Fabrice), Adam, G. (Gilles), Martin-Blondel, G. (Guillaume), Rafiq, M. (Marie), Geeraerts, T. (Thomas), Delamarre, L. (Louis), Grand, S. (Sylvie), Krainik, A. (Alexandre), Kremer, S. (Stephane), Alleg, M. (Manel), Anheim, M. (Mathieu), Anxionnat, R. (René), Ardellier, F. (François-Daniel), Baloglu, S. (Seyyid), Bapst, B. (Blanche), Benzakoun, J. (Joseph), Berge, J. (Jérome), Bolognini, F. (Federico), Bornet, G. (Grégoire), Boulouis, G. (Grégoire), Boutet, C. (Claire), Brisset, J. (Jean Christophe), Caillard-ohlmann, S. (Sophie), Carré, S. (Sophie), Comby, P. (Pierre-Olivier), Constans, J. (Jean Marc), David, J. (Jean-Stéphane), de Beaurepaire, I. (Isaure), De Seze, J. (Jerome), Desal, H. (Hubert), Edjlali-Goujon, M. (Myriam), Fabre, X. (Xavier), Fafi-Kremer, S. (Samira), Feuerstein, P. (Philippe), Henry Feugeas, M. (Marie-Cécile), Forestier, G. (Géraud), Gaudemer, A. (Augustin), Hansmann, Y. (Yves), Heintz, A. (Adrien), Boisrame, J. (Julie), Hemmert, C. (Céline), Hmeydia, G. (Ghazi), Jager, L. (Lavinia), Kazémi, A. (Apolline), Kerleroux, B. (Basile), Khalil, A. (Antoine), Lacalm, A. (Audrey), Lecler, A. (Augustin), Lecocq, C. (Claire), Lefebvre, N. (Nicolas), Lersy, F. (François), Matthieu, M. (Muriel), Megdiche, I. (Imen), Mertes, P. (Paul-michel), Messié, J. (Julien), Metanbou, S. (Serge), Meyer, N. (Nicolas), Meziani, F. (Ferhat), Mutschler, V. (Veronique), Nesser, P. (Patrick), Oesterlé, H. (Hélène), Ohana, M. (Mickaël), Oppenheim, C. (Catherine), Pyatigorskaya, N. (Nadya), Ricolfi, F. (Frédéric), Saleme, S. (Suzana), Schenck, M. (Maleka), Schmitt, E. (Emmanuelle), Schneider, F. (Francis), Sebag, N. (Nathan), Talla Mba, Y. (Yannick), Thouant, P. (Pierre), Willaume, T. (Thibault), Zhu, F. (François), Zorn, P. (Pierre-Emmanuel), Cotton, F. (François), Les Hôpitaux Universitaires de Strasbourg (HUS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département de Radiologie [CHU de Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Service des maladies infectieuses et réanimation médicale [Rennes] = Infectious Disease and Intensive Care [Rennes], CHU Pontchaillou [Rennes], CHU Toulouse [Toulouse], CHU Grenoble, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Centre hospitalier de Haguenau, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Nancy (CHU Nancy), CHU Henri Mondor, Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), CHU Bordeaux [Bordeaux], Hôpitaux Civils de Colmar, Hôpital Privé d'Antony, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Immuno-Rhumatologie Moléculaire, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), CHU Amiens-Picardie, Hospices Civils de Lyon (HCL), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre Hospitalier de Roanne (CH Roanne), CH de Roanne, Groupe hospitalier de la région de Mulhouse Sud-Alsace (GHRMSA), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Limoges, CHU Strasbourg, Nouvel Hôpital Civil de Strasbourg, Université de Strasbourg (UNISTRA), Hôpital Marie-Madeleine [Forbach], CHU Lille, Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Les Hôptaux universitaires de Strasbourg (HUS), Nanomédecine Régénérative (NanoRegMed), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Henri Mondor [Créteil], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Ferré, Jean-Christophe, and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Adult, Male, medicine.medical_specialty, Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC], Adolescent, Pneumonia, Viral, Gastroenterology, 030218 nuclear medicine & medical imaging, Temporal lobe, White matter, Cohort Studies, 03 medical and health sciences, symbols.namesake, Betacoronavirus, Young Adult, 0302 clinical medicine, Cerebrospinal fluid, Internal medicine, Intensive care, medicine, Humans, Radiology, Nuclear Medicine and imaging, 10. No inequality, Child, Pandemics, Fisher's exact test, Aged, Retrospective Studies, medicine.diagnostic_test, business.industry, SARS-CoV-2, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Brain, COVID-19, Retrospective cohort study, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 3. Good health, Venous thrombosis, medicine.anatomical_structure, Neuroradiology, 030220 oncology & carcinogenesis, symbols, Female, business, Coronavirus Infections
Abstract

International audience; BackgroundBrain MRI parenchymal signal abnormalities have been associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).PurposeTo describe the neuroimaging findings (excluding ischemic infarcts) in patients with severe coronavirus disease 2019 (COVID-19) infection.Materials and MethodsThis was a retrospective study of patients evaluated from March 23, 2020, to April 27, 2020, at 16 hospitals. Inclusion criteria were (a) positive nasopharyngeal or lower respiratory tract reverse transcriptase polymerase chain reaction assays, (b) severe COVID-19 infection defined as a requirement for hospitalization and oxygen therapy, (c) neurologic manifestations, and (d) abnormal brain MRI findings. Exclusion criteria were patients with missing or noncontributory data regarding brain MRI or brain MRI showing ischemic infarcts, cerebral venous thrombosis, or chronic lesions unrelated to the current event. Categorical data were compared using the Fisher exact test. Quantitative data were compared using the Student t test or Wilcoxon test. P < .05 represented a significant difference.ResultsThirty men (81%) and seven women (19%) met the inclusion criteria, with a mean age of 61 years ± 12 (standard deviation) (age range, 8–78 years). The most common neurologic manifestations were alteration of consciousness (27 of 37, 73%), abnormal wakefulness when sedation was stopped (15 of 37, 41%), confusion (12 of 37, 32%), and agitation (seven of 37, 19%). The most frequent MRI findings were signal abnormalities located in the medial temporal lobe in 16 of 37 patients (43%; 95% confidence interval [CI]: 27%, 59%), nonconfluent multifocal white matter hyperintense lesions seen with fluid-attenuated inversion recovery and diffusion-weighted sequences with variable enhancement, with associated hemorrhagic lesions in 11 of 37 patients (30%; 95% CI: 15%, 45%), and extensive and isolated white matter microhemorrhages in nine of 37 patients (24%; 95% CI: 10%, 38%). A majority of patients (20 of 37, 54%) had intracerebral hemorrhagic lesions with a more severe clinical presentation and a higher admission rate in intensive care units (20 of 20 patients [100%] vs 12 of 17 patients without hemorrhage [71%], P = .01) and development of the acute respiratory distress syndrome (20 of 20 patients [100%] vs 11 of 17 patients [65%], P = .005). Only one patient had SARS-CoV-2 RNA in the cerebrospinal fluid.ConclusionPatients with severe coronavirus disease 2019 and without ischemic infarcts had a wide range of neurologic manifestations that were associated with abnormal brain MRI scans. Eight distinctive neuroradiologic patterns were described.

Published
2020
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23. Advanced multiparametric magnetic resonance imaging of multinodular and vacuolating neuronal tumor

Author

Lecler, A., primary, Broquet, V., additional, Bailleux, J., additional, Carsin, B., additional, Adle‐Biassette, H., additional, Baloglu, S., additional, Forestier, G., additional, Bonneville, F., additional, Calvier, E., additional, Chauvet, D., additional, Comby, P. O., additional, Cottier, J. P., additional, Cotton, F., additional, Deschamps, R., additional, Diard‐Detoeuf, C., additional, Ducray, F., additional, Drissi, C., additional, Elmaleh, M., additional, Farras, J., additional, Aguilar Garcia, J., additional, Gerardin, E., additional, Grand, S., additional, Jianu, D. C., additional, Kremer, S., additional, Loiseau, H., additional, Magne, N., additional, Mejdoubi, M., additional, Moulignier, A., additional, Ollivier, M., additional, Nagi, S., additional, Rodallec, M., additional, Shor, N., additional, Tourdias, T., additional, Vandendries, C., additional, Anxionnat, R., additional, Duron, L., additional, and Savatovsky, J., additional

Published
2020
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26. Identification et impact de la sarcopénie chez les patients en surpoids et obèses avec un carcinome à cellules rénales localisé

Author

Darbas, T., Forestier, G., Leobon, S, Pestre, J., Jésus, Pierre, Lachatre, D., Descazeaud, Aurelien, Tubiana-Mathieu, Nicole, Deluche, Elise, Service d'Oncologie médicale [CHU Limoges], CHU Limoges, Service d'Hépato-Gastro-Entérologie et Nutrition [CHU Limoges], Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Service de Néphrologie, Dialyse, Transplantations [CHU Limoges], and Grelier, Elisabeth

Subjects
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

27. Self-induced inverse spin Hall effect in ferromagnets: Demonstration through nonmonotonic temperature dependence in permalloy

Author

Gladii, O., primary, Frangou, L., additional, Hallal, A., additional, Seeger, R. L., additional, Noël, P., additional, Forestier, G., additional, Auffret, S., additional, Rubio-Roy, M., additional, Warin, P., additional, Vila, L., additional, Wimmer, S., additional, Ebert, H., additional, Gambarelli, S., additional, Chshiev, M., additional, and Baltz, V., additional

Published
2019
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34. Design of an ontology for the annotation of object models used for medical image simulation

Author

Gibaud , B., Forestier , G., Benoit-Cattin , B., Cervenansky , F., Clarysse , P., Friboulet , D., Gaignard , A., Hugonnard , P., Lartizien , C., Liebgott , H., Montagnat , J., Tabary , J., Glatard , T., Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service Informatique et développements, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS, Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Imagerie Ultrasonore, Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Modélisation, Intelligence, Processus et Système ( MIPS ), Université de Haute-Alsace (UHA) Mulhouse - Colmar ( Université de Haute-Alsace (UHA) ) -Ecole Nationale Supérieure d'Ingénieur Sud Alsace, 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Scalable and Pervasive softwARe and Knowledge Systems ( SPARKS ), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Electronique et des Technologies de l'Information ( CEA-LETI ), Université Grenoble Alpes [Saint Martin d'Hères]-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), 3 - Imagerie Ultrasonore, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)

Subjects
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2012

37. A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

Author

Glatard, T., primary, Lartizien, C., additional, Gibaud, B., additional, Ferreira da Silva, Rafael, additional, Forestier, G., additional, Cervenansky, F., additional, Alessandrini, M., additional, Benoit-Cattin, H., additional, Bernard, O., additional, Camarasu-Pop, S., additional, Cerezo, N., additional, Clarysse, P., additional, Gaignard, A., additional, Hugonnard, P., additional, Liebgott, H., additional, Marache, S., additional, Marion, A., additional, Montagnat, J., additional, Tabary, J., additional, and Friboulet, D., additional

Published
2013
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