Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists.

Autor: Kim JG; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Haslam B; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Diab AR; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Sakhare A; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Grisot G; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Lee H; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Holt J; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Lee CI; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Lotter W; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.)., Sorensen AG; From DeepHealth, RadNet AI Solutions, 212 Elm Street, Somerville, MA 02144 (J.G.K., B.H., A.R.D., A.S., G.G., H.L., W.L., A.G.S.); Atos zData, Newark, Del (A.S.); Delaware Imaging Network, RadNet, Wilmington, Del (J.H.); Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, Wash (C.I.L.); Department of Health Systems & Population Health, School of Public Health, University of Washington, Seattle, Wash (C.I.L.); and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (W.L.).

Publikováno v: Radiology. Artificial intelligence [Radiol Artif Intell] 2024 Mar; Vol. 6 (2), pp. e230137.

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.

Autor: Maffei C; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States. Electronic address: cmaffei@mgh.harvard.edu., Girard G; University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Schilling KG; Vanderbilt Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States., Aydogan DB; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland., Adluru N; University of Wisconsin, Madison, WI, United States., Zhylka A; Biomedical Engineering, Eindhoven University of Technology, Netherlands., Wu Y; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, United States., Mancini M; Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Hamamci A; Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey., Sarica A; Neuroscience Research Center, University 'Magna Graecia', Catanzaro, Italy., Teillac A; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Baete SH; Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States; Department of Radiology, Center for Biomedical Imaging, NYU School of Medicine, New York, NY, United States., Karimi D; Department of Radiology, Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States., Yeh FC; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States., Yildiz ME; Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey., Gholipour A; Department of Radiology, Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States., Bihan-Poudec Y; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Hiba B; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Quattrone A; Institute of Neurology, University 'Magna Graecia', Catanzaro, Italy., Quattrone A; Neuroscience Research Center, University 'Magna Graecia', Catanzaro, Italy., Boshkovski T; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Stikov N; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Yap PT; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, United States., de Luca A; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands; Neurology Department, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands., Pluim J; Biomedical Engineering, Eindhoven University of Technology, Netherlands., Leemans A; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands., Prabhakaran V; University of Wisconsin, Madison, WI, United States., Bendlin BB; University of Wisconsin, Madison, WI, United States., Alexander AL; University of Wisconsin, Madison, WI, United States., Landman BA; Vanderbilt Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States., Canales-Rodríguez EJ; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Barakovic M; Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Polyclinic, Basel, Switzerland., Rafael-Patino J; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Yu T; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Rensonnet G; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Schiavi S; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; University of Verona, Verona, Italy., Daducci A; University of Verona, Verona, Italy., Pizzolato M; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Fischi-Gomez E; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Thiran JP; University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Dai G; Wellesley College, Wellesley, MA, United States., Grisot G; DeepHealth, Inc., Cambridge, MA, United States., Lazovski N; QMENTA, Inc., Barcelona, Spain., Puch S; QMENTA, Inc., Barcelona, Spain., Ramos M; QMENTA, Inc., Barcelona, Spain., Rodrigues P; QMENTA, Inc., Barcelona, Spain., Prčkovska V; QMENTA, Inc., Barcelona, Spain., Jones R; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States., Lehman J; Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States., Haber SN; Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States., Yendiki A; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States.

Publikováno v: NeuroImage [Neuroimage] 2022 Aug 15; Vol. 257, pp. 119327. Date of Electronic Publication: 2022 May 26.

State of contamination for priority and emerging pollutants in suspended particulate matter of the Rhône River watershed

Autor: Poulier, Gaëlle, Miege, Cecile, Le Bescond, C., Dabrin, Aymeric, Grisot, G., Gregson, M., Lagouy, M., Thollet, Fabien, Buffet, A., Dramais, G., Le Coz, Jérôme, Lepage, H., Gattacceca, Julie, Gairoard, S., Radakovitch, O., Coquery, Marina

Publikováno v: [Rapport de recherche] irstea. 2018, pp.100

L'Observatoire des Sédiments du Rhône (OSR), mis en place en 2009, vise à améliorer les connaissances scientifiques sur les dynamiques sédimentaires du fleuve et des contaminants associés. Les programmes précédents (OSR 2 et OSR 3), ont permi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::4fb840de3db94a904b3b2deeffbbcdd1
https://hal.inrae.fr/hal-02608347/file/pub00059609.pdf

Mass balance and fluxes of suspended particles and associated contaminants on the Rhône River basin. Final report

Autor: Poulier, Gaëlle, Le Coz, Jérôme, Le Bescond, C., Thollet, F., Panay, J., Lagouy, M., Dramais, G., Grisot, G., Launay, M., Gairoard, S., Radakovitch, O., Lepage, H., Coquery, Marina, Gattacceca, Julie

Publikováno v: [Rapport de recherche] irstea. 2018, pp.93

Ce livrable correspond à l'action III.3 de l'Observatoire des Sédiments du Rhône, programme 2015-2017 (OSR 4). Il a pour objet la quantification des flux de matières en suspension et des contaminants associés, du Lac Léman à la mer Méditerran

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::d45ac140d82ad4ec938636db7a90bd91
https://hal.inrae.fr/hal-02607069/document

State of contamination for priority and emerging pollutants in suspended particulate matter of the Rhône River watershed

Autor: Gaëlle Poulier, Miege, C., Le Bescond, C., Dabrin, A., Grisot, G., Gregson, M., Lagouy, M., Thollet, F., Buffet, A., Guillaume Dramais, Jérôme Le Coz, Lepage, H., Julie Gattacceca, Gairoard, S., Radakovitch, O., Marina Coquery

Publikováno v: [Rapport de recherche] irstea. 2018, pp.100
HAL

[Departement_IRSTEA]Eaux [ADD1_IRSTEA]Systèmes aquatiques soumis à des pressions multiples [ADD2_IRSTEA]Hydrosystèmes et risques naturels; L'Observatoire des Sédiments du Rhône (OSR), mis en place en 2009, vise à améliorer les connaissances sc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11894f5f07d4a9d9baa63e63feceaca9
https://hal.inrae.fr/hal-02608347/file/pub00059609.pdf