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55 articles
Alzheimer’s Disease Neuroimaging Initiative. Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease
Eur J Nucl Med Mol Imaging. 2020;47(2):403–412. Abstract Purpose: Although functional brain imaging has been used for the early and objective assessment of cognitive dysfunction, there is a lack of g…

Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports
Eur J Nucl Med Mol Imaging. 2020 Aug;47(9):2186–2196. Abstract Purpose: Basal/acetazolamide brain perfusion single-photon emission computed tomography (SPECT) has been used to evaluate functional hem…

Unsupervised clustering of dopamine transporter PET imaging discovers heterogeneity of parkinsonism
Human Brain Mapping. 2020. Abstract Parkinsonism has heterogeneous nature, showing distinctive patterns of disease progression and prognosis. We aimed to find clusters of parkinsonism based on 18 F-f…

Visual interpretation of [18F]Florbetaben PET supported by deep learning-based estimation of amyloid burden
Eur J Nucl Med Mol Imaging. 2020 Abstract Purpose: Amyloid PET which has been widely used for noninvasive assessment of cortical amyloid burden is visually interpreted in the clinical setting. As a f…

Variability of FP-CIT PET Patterns Associated With Clinical Features of Multiple System Atrophy
Neurology. 2021;96(12):e1663-e1671. Abstract Objective: To validate the role of the dopamine transporter (DAT) imaging as a biomarker in multiple system atrophy (MSA), we analyzed the association bet…

Tumor metabolic features identified by FDG PET correlates with gene networks of immune cell microenvironment in head and neck cancer
J Nucl Med 2018 59(1):31–37. Abstract The importance of 18F-FDG PET in imaging head and neck squamous cell carcinoma (HNSCC) has grown in recent decades. Because PET has prognostic values, and provid…

A risk stratification model for lung cancer based on gene coexpression network and deep learning
Biomed Res Int 2018 16;2018:2914280 Abstract Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic gen…

Immune landscape of papillary thyroid cancer and immunotherapeutic implications
Endocr Relat Cancer 2018 25(5):523–531. Abstract Although papillary thyroid cancer (PTC) is curable with excellent survival rate, patients with dedifferentiated PTC suffer the recurrence or death. As…

Association of metabolic and genetic heterogeneity in head and neck squamous cell carcinoma with prognostic implications: integration of FDG PET and genomic analysis
EJNMMI research, 9(1), 1–11. Abstract Purpose The linkage between the genetic and phenotypic heterogeneity of the tumor has not been thoroughly evaluated. Herein, we investigated how the genetic and …
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Portrai's Authors
Capturing and compounding Portrai's insights.
Daeseung Lee
CEO
Physician-scientist who left clinical practice to bring spatial biology into oncology drug discovery
Hongyoon Choi
CTO
Builds the algorithms that turn spatial transcriptomics into actionable target intelligence
Hyung-Jun Im
CSO
Nuclear medicine specialist linking imaging biomarkers to next-generation radiopharmaceuticals
Kwonjoong Na
CMO
Translates platform insights into IND-enabling decisions across oncology programs
Portrai
Official posts from the Portrai team, decoding disease with spatial intelligence