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BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.

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Title: BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
Authors: Opfer R; Jung Diagnostics GmbH, Hamburg, Germany., Krüger J; Jung Diagnostics GmbH, Hamburg, Germany., Buddenkotte T; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany., Spies L; Jung Diagnostics GmbH, Hamburg, Germany., Behrendt F; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Schippling S; Multimodal Imaging in Neuroimmunological Diseases (MINDS), University of Zurich, Zurich, Switzerland.; Neuroscience and Rare Diseases (NRD), Roche Pharma Research and Early Development (pRED), Basel, Switzerland., Buchert R; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. r.buchert@uke.de.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1763-1771. Date of Electronic Publication: 2024 Jun 16.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
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  Data: <searchLink fieldCode="AU" term="%22Opfer+R%22">Opfer R</searchLink>; Jung Diagnostics GmbH, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Krüger+J%22">Krüger J</searchLink>; Jung Diagnostics GmbH, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Buddenkotte+T%22">Buddenkotte T</searchLink>; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Spies+L%22">Spies L</searchLink>; Jung Diagnostics GmbH, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Behrendt+F%22">Behrendt F</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Schippling+S%22">Schippling S</searchLink>; Multimodal Imaging in Neuroimmunological Diseases (MINDS), University of Zurich, Zurich, Switzerland.; Neuroscience and Rare Diseases (NRD), Roche Pharma Research and Early Development (pRED), Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Buchert+R%22">Buchert R</searchLink>; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. r.buchert@uke.de.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101499225 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1861-6429 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218616410%22">18616410 </searchLink><i>NLM ISO Abbreviation: </i>Int J Comput Assist Radiol Surg <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11548-024-03201-3
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      – TitleFull: BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
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              Text: 2024 Sep
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              Y: 2024
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