“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

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Additional file 1 of Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

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Comparing Modelling Architectures in the context of EGFR Status Classification in Non Small Cell Lung CancerPreprint

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A drone imagery dataset for semantic segmentation of urban garden ground covers in biodiversity studies

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Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

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Developing an Artificial Intelligence Software to Aid in Dental Caries Detection

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Reproducing a year-round expert survey with deep learning

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Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

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Three critical factors affecting automated image species recognition performance for camera traps

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