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Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

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Title: Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.
Authors: Haase R; From the Department of Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (R.H., E.K., Z.B., D.P., R.C., A.R., K.D.); Institute of Applied Mathematics, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (T.P., A.E.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (D.P.); Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P., H.-P.S.); Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany (M.F.-D., K.S., G.H., C.P.H.); Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany (M.F.-D.); Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (V.W., C.P.H.); Translational Lung Research Center Heidelberg, Member of the German Center of Lung Research (DZL), Heidelberg, Germany (C.P.H.); Praxisnetz, Radiology and Nuclear Medicine, Bonn, Germany (M.V.); Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (J.A.L.); Chair of Civil Law, Data Protection Law, Law of Data Economy, Digitalization and AI Law, Faculty of Law, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (L.S.-R.); and German Center for Neurodegenerative Diseases (DZNE), Helmholtz Association of German Research Centers, Venusberg-Campus 1, Bonn, Germany (A.R., K.D.)., Pinetz T, Kobler E, Bendella Z, Paech D, Clauberg R, Foltyn-Dumitru M, Wagner V, Schlamp K, Heussel G, Heussel CP, Vahlensieck M, Luetkens JA, Schlemmer HP, Specht-Riemenschneider L, Radbruch A, Effland A, Deike K
Source: Investigative radiology [Invest Radiol] 2025 May 01; Vol. 60 (5), pp. 340-348. Date of Electronic Publication: 2024 Nov 19.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0045377 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-0210 (Electronic) Linking ISSN: 00209996 NLM ISO Abbreviation: Invest Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.
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  Data: <searchLink fieldCode="AU" term="%22Haase+R%22">Haase R</searchLink>; From the Department of Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (R.H., E.K., Z.B., D.P., R.C., A.R., K.D.); Institute of Applied Mathematics, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (T.P., A.E.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (D.P.); Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P., H.-P.S.); Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany (M.F.-D., K.S., G.H., C.P.H.); Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany (M.F.-D.); Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (V.W., C.P.H.); Translational Lung Research Center Heidelberg, Member of the German Center of Lung Research (DZL), Heidelberg, Germany (C.P.H.); Praxisnetz, Radiology and Nuclear Medicine, Bonn, Germany (M.V.); Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (J.A.L.); Chair of Civil Law, Data Protection Law, Law of Data Economy, Digitalization and AI Law, Faculty of Law, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (L.S.-R.); and German Center for Neurodegenerative Diseases (DZNE), Helmholtz Association of German Research Centers, Venusberg-Campus 1, Bonn, Germany (A.R., K.D.).<br /><searchLink fieldCode="AU" term="%22Pinetz+T%22">Pinetz T</searchLink><br /><searchLink fieldCode="AU" term="%22Kobler+E%22">Kobler E</searchLink><br /><searchLink fieldCode="AU" term="%22Bendella+Z%22">Bendella Z</searchLink><br /><searchLink fieldCode="AU" term="%22Paech+D%22">Paech D</searchLink><br /><searchLink fieldCode="AU" term="%22Clauberg+R%22">Clauberg R</searchLink><br /><searchLink fieldCode="AU" term="%22Foltyn-Dumitru+M%22">Foltyn-Dumitru M</searchLink><br /><searchLink fieldCode="AU" term="%22Wagner+V%22">Wagner V</searchLink><br /><searchLink fieldCode="AU" term="%22Schlamp+K%22">Schlamp K</searchLink><br /><searchLink fieldCode="AU" term="%22Heussel+G%22">Heussel G</searchLink><br /><searchLink fieldCode="AU" term="%22Heussel+CP%22">Heussel CP</searchLink><br /><searchLink fieldCode="AU" term="%22Vahlensieck+M%22">Vahlensieck M</searchLink><br /><searchLink fieldCode="AU" term="%22Luetkens+JA%22">Luetkens JA</searchLink><br /><searchLink fieldCode="AU" term="%22Schlemmer+HP%22">Schlemmer HP</searchLink><br /><searchLink fieldCode="AU" term="%22Specht-Riemenschneider+L%22">Specht-Riemenschneider L</searchLink><br /><searchLink fieldCode="AU" term="%22Radbruch+A%22">Radbruch A</searchLink><br /><searchLink fieldCode="AU" term="%22Effland+A%22">Effland A</searchLink><br /><searchLink fieldCode="AU" term="%22Deike+K%22">Deike K</searchLink>
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  Data: <searchLink fieldCode="JN" term="%220045377%22">Investigative radiology</searchLink> [Invest Radiol] 2025 May 01; Vol. 60 (5), pp. 340-348. <i>Date of Electronic Publication: </i>2024 Nov 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0045377 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1536-0210 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200209996%22">00209996 </searchLink><i>NLM ISO Abbreviation: </i>Invest Radiol <i>Subsets: </i>MEDLINE
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