ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2022
Deep residual inception encoder-decoder network for amyloid PET harmonization.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Longitudinal head-to-head comparison ofEuropean journal of nuclear medicine and molecular imaging · 2023Trial
- Development of AI-based dopamine transporter (DAT) image generation technique using early phase [18F]-FP-CIT PET imaging.PloS one · 2026Article
- Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models.Life (Basel, Switzerland) · 2024Article
- Deep learning-based amyloid PET harmonization to predict cognitive decline in non-demented elderly.Radiology advances · 2024Article
- Harmonizing florbetapir and PiB PET measurements of cortical Aβ plaque burden using multiple regions-of-interest and machine learning techniques: An alternative to the Centiloid approach.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- International Nuclear Medicine Consensus on the Clinical Use of Amyloid Positron Emission Tomography in Alzheimer's Disease.Phenomics (Cham, Switzerland) · 2023Article
- Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer's Disease: A Literature Review from a Machine Learning Perspective.Journal of Alzheimer's disease : JAD · 2023Review
- Deep residual inception encoder-decoder network for amyloid PET harmonization.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
- β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3.NeuroImage · 2022Article
- Accounting for white matter uptake improves between tracer agreement in amyloid PET.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Probabilistic estimation for across-batch compatibility enhancement for amyloid PET.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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13 authors.
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Abstract
introductionMultiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy.
methodA Residual Inception Encoder-Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound-B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10-fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects.
resultsSignificantly stronger between-tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel-wise measurements in the training cohort and the external testing cohort. DISCUSSION: We proposed and validated a novel encoder-decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers.
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