1. 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]



2. Mohammad Momeny, Ali Asghar Neshat, Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, and Ghassan Hamarneh. Learning-to-Augment Strategy using Noisy and Denoised Data: Improving Generalizability of Deep CNN for the Detection of COVID-19 in X-ray Images. Computers in Biology and Medicine (CIBM), 136:104704, 2021. Keyword(s): Deep Learning, Classification, Augmentation, COVID19, SARS-CoV-2. [bibtex-key = cibm2021]

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