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PHet: Heterogeneity-preserving discriminative feature selection for subtype discovery |
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MARS-Net: Deep learning-based segmentation pipeline for profiling cellular morphodynamics from multiple types of live cell microscopy
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FNA-Net: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier
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Contour Tracking: Unsupervised contour tracking of live cells
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DeepHACKS: Deep phenotyping of subcellular dynamics using deep learning
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HACKS: Deconvolution of subcellular protrusion heterogeneity from live cell imaging
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HoloNet: Deep learning-based phenotyping using hologram biomarkers
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HoloDiagnosis: Deep transfer learning-based hologram classification for molecular diagnostics
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HETEROID: A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation
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