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Publications of Sieun Lee at Hamarneh Lab
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Articles in journal, book chapters
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Ben Cardoen,
Hanene Ben Yedder,
Sieun Lee,
Ivan Robert Nabi,
and Ghassan Hamarneh.
DataCurator.jl: Efficient, portable, and reproducible validation, curation, and transformation of large heterogeneous datasets using human-readable recipes compiled into machine verifiable templates.
BioInformatics Advances,
3(1-5):000-000,
2023.
Keyword(s): Microscopy,
Processing,
Single Molecule Localization,
Super Resolution Microscopy,
Software and Tools,
Reproducibility.
[bibtex-key = bioinfadv2023]
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Ben Cardoen,
Timothy H. Wong,
Parsa Alan,
Sieun Lee,
Joanne Aiko Matsubara,
Ivan Robert Nabi,
and Ghassan Hamarneh.
SPECHT: Self-tuning Plausibility Based Object Detection Enables Quantification of Conflict in Heterogeneous Multi-scale Microscopy (Nabi and Hamarneh: Joint senior authors).
PLOS ONE,
17(12):e0276726,
2022.
Keyword(s): Super Resolution Microscopy,
Machine Learning,
Classification,
Belief Theory,
Biomarkers/Biosignatures,
Generalizability.
[bibtex-key = plosone2022]
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Ben Cardoen,
Timothy H. Wong,
Parsa Alan,
Sieun Lee,
Joanne Aiko Matsubara,
Ivan Robert Nabi,
and Ghassan Hamarneh.
Self-tuning Weakly Supervised Object Detection (SPECHT) of Sub-Diffraction Limited Caveolae and Scaffold and Amyloid-Beta Deposits.
In American Society of Cell Biology -- Cell Bio 2021,
2021.
Keyword(s): Object Detection,
Super Resolution Microscopy,
Belief Theory,
Datasets.
[bibtex-key = cellbio2021]
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Ben Cardoen,
Timothy H. Wong,
Parsa Alan,
Sieun Lee,
Joanne Aiko Matsubara,
Ivan Robert Nabi,
and Ghassan Hamarneh.
Automatic identification of protein complexes in multi-scale microscopy with applications tometastasis and Alzheimer disease.
In The 2nd Annual Tri-Cluster Research Day, Canada,
pages 1,
2020.
Keyword(s): Super Resolution Microscopy,
Single Molecule Localization Microscopy,
Machine Learning,
Processing,
Belief Theory.
[bibtex-key = tricluster2020b]
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Ben Cardoen,
Timothy H. Wong,
Parsa Alan,
Sieun Lee,
Joanne Aiko Matsubara,
Ivan Robert Nabi,
and Ghassan Hamarneh.
Belief theory enables identification of protein complexes in multi-scale microscopy with applications to metastasis and Alzheimer disease.
In Centre for Artificial Intelligence Decision-making and Action (CAIDA), BC's AI Showcase, Canada,
pages 1,
2020.
Keyword(s): Super Resolution Microscopy,
Single Molecule Localization Microscopy,
Machine Learning,
Processing,
Belief Theory.
[bibtex-key = caida2020b]
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Ben Cardoen,
Hanene Ben Yedder,
Sieun Lee,
Ivan Robert Nabi,
and Ghassan Hamarneh.
DataCurator.jl: Efficient, portable, and reproducible validation, curation, and transformation of large heterogeneous datasets using human-readable recipes compiled into machine verifiable templates.
Technical report techrxiv:22060118,
2 2023.
Keyword(s): Microscopy,
Processing,
Single Molecule Localization,
Super Resolution Microscopy,
Software and Tools,
Reproducibility.
[bibtex-key = techrxiv_22060118]
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Ben Cardoen,
Hanene Ben Yedder,
Sieun Lee,
Ivan Robert Nabi,
and Ghassan Hamarneh.
Log-Paradox: Necessary and sufficient conditions for confounding statistically significant pattern reversal under the log-transform.
Technical report arxiv.2302.04780,
000 2023.
Keyword(s): Microscopy,
Processing,
Single Molecule Localization,
Super Resolution Microscopy,
Software and Tools,
Statistics,
Geometric mean,
Log-transform.
[bibtex-key = arxiv:2302.04780]
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Ben Cardoen,
Timothy H. Wong,
Parsa Alan,
Sieun Lee,
Joanne Aiko Matsubara,
Ivan Robert Nabi,
and Ghassan Hamarneh.
SPECHT: Self-tuning Plausibility Based Object Detection Enables Quantification of Conflict in Heterogeneous Multi-scale Microscopy (Nabi and Hamarneh: Joint senior authors).
Technical report techrxiv:12971051,
9 2020.
Keyword(s): Super Resolution Microscopy,
Single Molecule Localization Microscopy,
Machine Learning,
Processing,
Belief Theory,
Object Detection,
Datasets.
[bibtex-key = techrxiv_12971051]
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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.
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