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Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning, , , and . arXiv preprint arXiv:1905.08099, (2019)Feature-based Classification of Protein Networks using Confocal Microscopy Imaging and Machine Learning, , , , and . PAMM, 18 (1): e201800246 (2018)Cytological analysis and structural quantification of FtsZ1-2 and FtsZ2-1 network characteristics in Physcomitrella patens, , , , , and . Scientific Reports, (2018)Effects of Long-Term Sclerostin Deficiency on Trabecular Bone Mass and Adaption to Limb Loading Differ in Male and Female Mice, , , , , , , , , and . Calcified Tissue International, 106 (4): 415-430 (2020)Computational 3D imaging to quantify structural components and assembly of protein networks, , , , and . Acta biomaterialia, (2018)The Periosteal Bone Surface is Less Mechano-Responsive than the Endocortical, , , , , and . Scientific reports, (2016)Biopolymer segmentation from CLSM microscopy images using a convolutional neural network, , , , and . Proceedings in applied mathematics and mechanics, 20 (1): e202000188 (2021)A NanoFE Simulation-based Surrogate Machine Learning Model to Predict Mechanical Functionality of Protein Networks from Live Confocal Imaging, , , , , and . Computational and Structural Biotechnology Journal, (2020)Biopolymer segmentation from CLSM microscopy images using a convolutional neural network, , , , and . PAMM, 20 (1): e202000188 (2021)Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo mu CT imaging and deep learning, , , and . Acta Biomaterialia, (2020)