Evolution of white matter hyperintensity segmentation methods and implementation over the past two decades; an incomplete shift towards deep learning.
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| Title: | Evolution of white matter hyperintensity segmentation methods and implementation over the past two decades; an incomplete shift towards deep learning. |
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| Authors: | Rahmani M; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Neuroimaging Labs Research Center, Washington University School of Medicine, St. Louis, MO, USA., Dierker D; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Neuroimaging Labs Research Center, Washington University School of Medicine, St. Louis, MO, USA., Yaeger L, Saykin A; Department School of Medicine, Indiana University, Bloomington, IN, USA., Luckett PH; Division of Neurotechnology, Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, USA., Vlassenko AG; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Knight Alzheimer Disease Research Center, St. Louis, MO, USA.; Neuroimaging Labs Research Center, Washington University School of Medicine, St. Louis, MO, USA., Owens C; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA., Jafri H; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA., Womack K; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA., Fripp J; The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia., Xia Y; The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia., Tosun D; Division of Radiology and Biomedical Imaging, University of CA - San Francisco, San Francisco, CA, USA., Benzinger TLS; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Knight Alzheimer Disease Research Center, St. Louis, MO, USA., Masters CL; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia., Lee JM; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA., Morris JC; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.; Knight Alzheimer Disease Research Center, St. Louis, MO, USA., Goyal MS; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.; Neuroimaging Labs Research Center, Washington University School of Medicine, St. Louis, MO, USA., Strain JF; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA. strainj@wustl.edu.; Neuroimaging Labs Research Center, Washington University School of Medicine, St. Louis, MO, USA. strainj@wustl.edu., Kukull W, Weiner M, Burnham S, CoxDoecke TJ, Fedyashov V, Fripp J, Shishegar R, Xiong C, Marcus D, Raniga P, Li S, Aschenbrenner A, Hassenstab J, Lim YY, Maruff P, Sohrabi H, Robertson J, Markovic S, Bourgeat P, Doré V, Mayo CJ, Mussoumzadeh P, Rowe C, Villemagne V, Bateman R, Fowler C, Li QX, Martins R, Schindler S, Shaw L, Cruchaga C, Harari O, Laws S, Porter T, O'Brien E, Perrin R, Kukull W, Bateman R, McDade E, Jack C, Morris J, Yassi N, Bourgeat P, Perrin R, Roberts B, Villemagne V, Fedyashov V, Goudey B |
| Corporate Authors: | ADOPIC, ADNI Investigators, Biostats, Database and Bioinformatics, Cognition, Imaging, CSF and Blood, Genetics, Neuropathology, NACC, DIAN, Cerebrovascular Disease (CVD) Risk, Hippocampal Sclerosis (HS-TDP43) Risk, Artificial Intelligence and Machine Learning |
| Source: | Brain imaging and behavior [Brain Imaging Behav] 2024 Oct; Vol. 18 (5), pp. 1310-1322. Date of Electronic Publication: 2024 Jul 31. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101300405 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1931-7565 (Electronic) Linking ISSN: 19317557 NLM ISO Abbreviation: Brain Imaging Behav Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1931-7565 |
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| DOI: | 10.1007/s11682-024-00902-w |
