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Publications of Joanne Aiko Matsubara at Hamarneh Lab
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Articles in journal, book chapters
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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,
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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