Author

Greg Sorensen

Siemens (Germany)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andrew J. SaykiniD· 3 shared Arthur W. TogaiD· 3 shared Clifford R. JackiD· 3 shared Davie Holtzman· 3 shared Franz F. HeftiiD· 3 shared John C. MorrisiD· 3 shared John Q. Trojanowki· 3 shared Laurel A. BeckettiD· 3 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Andrew J. SaykinORCID

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Author profile →

3 papers

Recent·Most cited

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Kilian Hett, Vinh‐Thong Ta, Gwénaëlle Catheline, Thomas Tourdias, José V. Manjón, Pierrick Coupé A, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul S. S Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel A. Beckett, , Randall Griffith

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

Scientific Reports · Sep 25, 2019Peer-reviewedNeuroscience

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby, Martina Bocchetta, Keir X. X. Yong, Nicholas C. Firth, David M. Cash, David Lee Thomas, Katrina M. Dick, M. Jorge Cardoso, John Cornelis Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, , Ronald G. Thomas

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

Nature Communications · Oct 9, 2018Peer-reviewedNeuroscience

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

Bingxin Zhao, Joseph G. Ibrahim, Yun Li, Tengfei Li, Yue Wang, Yue Shan, Ziliang Zhu, Fan Zhou, Jingwen Zhang, Chao Huang, Huiling Liao, Liuqing Yang, Paul M. Thompson, Hongtu Zhu B, Pediatric Imaging, Neurocognition and Genetics (PING), , John Hsiao

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.

Cerebral Cortex · Jul 2, 2018Peer-reviewedGenetics