AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Fan S, Ponisio MR, Xiao P, Ha SM, Chakrabarty S, Lee JJ, Flores S, LaMontagne P, Gordon B, Raji CA, Marcus DS, Nazeri A, Ances BM, Bateman RJ, Morris JC, Benzinger TLS, Sotiras A, Alzheimer's Disease Neuroimaging Initiative.

Open source

DOI: 10.1148/radiol.231442
Published: 2024-06-01
Container: Radiology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1148/radiol.231442,
  title = {AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.},
  author = {Fan S and  Ponisio MR and  Xiao P and  Ha SM and  Chakrabarty S and  Lee JJ and  Flores S and  LaMontagne P and  Gordon B and  Raji CA and  Marcus DS and  Nazeri A and  Ances BM and  Bateman RJ and  Morris JC and  Benzinger TLS and  Sotiras A and  Alzheimer's Disease Neuroimaging Initiative.},
  year = {2024},
  journal = {Radiology},
  doi = {10.1148/radiol.231442},
  url = {https://doi.org/10.1148/radiol.231442}
}

RIS

TY  - JOUR
TI  - AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.
AU  - Fan S
AU  -  Ponisio MR
AU  -  Xiao P
AU  -  Ha SM
AU  -  Chakrabarty S
AU  -  Lee JJ
AU  -  Flores S
AU  -  LaMontagne P
AU  -  Gordon B
AU  -  Raji CA
AU  -  Marcus DS
AU  -  Nazeri A
AU  -  Ances BM
AU  -  Bateman RJ
AU  -  Morris JC
AU  -  Benzinger TLS
AU  -  Sotiras A
AU  -  Alzheimer's Disease Neuroimaging Initiative.
PY  - 2024
JO  - Radiology
DO  - 10.1148/radiol.231442
UR  - https://doi.org/10.1148/radiol.231442
ER  -

APA

S, F., MR, P., P, X., SM, H., S, C., JJ, L., S, F., P, L., B, G., CA, R., DS, M., A, N., BM, A., RJ, B., JC, M., TLS, B., A, S., & Initiative., A. D. N. (2024). AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.. Radiology. https://doi.org/10.1148/radiol.231442

Source records

europe-pmc · retrieved 2026-09-25T04:51:35.625Z