Progression Pattern Discovery
Progression Pattern Discovery is a computational methodology within longitudinal phenotype trajectory analysis that identifies distinctive temporal patterns of phenotypic change by distinguishing underlying disease or trait progression dynamics from individual variability and noise.
37
Publications
2K
Citations
368
Authors
162
Institutions
Publications per year
2017–2026
26
37
In vivo staging of regional amyloid deposition
In vivo staging of regional amyloid deposition
Michel J. Grothe, Henryk Barthel, Jorge Sepulcre et al. · DZNE Pub · 2022 · 309 citations · Full text
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm
Leon Aksman, P. A. Wijeratne, Neil P. Oxtoby et al. · SoftwareX · 2021 · 82 citations · Full text
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162
Sungkyunkwan University
Seoul, South Korea
3 h-index
14 publications
466 citations
Samsung Medical Center
Seoul, South Korea
3 h-index
14 publications
466 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
14 publications
255 citations
University of Florida
Gainesville, United States
2 h-index
3 publications
143 citations
University of California, Irvine
Irvine, United States
2 h-index
10 publications
507 citations
Athinoula A. Martinos Center for Biomedical Imaging
Boston, United States
2 h-index
12 publications
4.6K citations

University of Padua
Padua, Italy
2 h-index
8 publications
186 citations
Centro Clinico Nemo
Milan, Italy
2 h-index
4 publications
134 citations
1–8 of 162
2 publications · 60 citations
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1 publications · 11 citations
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1 publications · 26 citations
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1 publications · 452 citations
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1 publications · 17 citations
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