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. |
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| 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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| ISSN: | 1861-6429 |
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| DOI: | 10.1007/s11548-024-03201-3 |
