1. 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]



2. 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]

1. 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]



2. 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]



3. 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]

1. 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]



2. 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]



3. 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]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

This document was translated from BibT_EX by bibtex2html