Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology
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Geometric deep learning of particle motion by MAGIK
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Seg2Link: an efficient and versatile solution for semi-automatic cell segmentation in 3D image stacks
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ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation
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Clinical significance of distal femur morphology in a healthy Mongolian youth population
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The Cell Tracking Challenge: 10 years of objective benchmarking
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GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
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TomoTwin: generalized 3D localization of macromolecules in cryo-electron tomograms with structural data mining
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Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments
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Mapping the motion and structure of flexible proteins from cryo-EM data
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