{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T07:11:59Z","timestamp":1775545919447,"version":"3.50.1"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Acta Biomaterialia"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1016\/j.actbio.2020.02.007","type":"journal-article","created":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T16:39:23Z","timestamp":1581439163000},"page":"193-207","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo \u03bcCT imaging and deep learning"],"prefix":"10.1016","volume":"106","author":[{"given":"Pouyan","family":"Asgharzadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"R\u00f6hrle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2907-3580","authenticated-orcid":false,"given":"Bettina M.","family":"Willie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6375-4745","authenticated-orcid":false,"given":"Annette I.","family":"Birkhold","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.actbio.2020.02.007_bib0001","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1056\/NEJMra053077","article-title":"Bone quality\u2013the material and structural basis of bone strength and fragility","volume":"354","author":"Seeman","year":"2006","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.actbio.2020.02.007_bib0002","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.1359\/jbmr.060904","article-title":"Bone fragility: failure of periosteal apposition to compensate for increased endocortical resorption in postmenopausal women","volume":"21","author":"Szulc","year":"2006","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0003","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1359\/jbmr.071020","article-title":"A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men","volume":"23","author":"Riggs","year":"2008","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0004","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.bone.2013.04.023","article-title":"Diminished response to in vivo mechanical loading in trabecular and not cortical bone in adulthood of female C57BL\/6 mice coincides with a reduction in deformation to load","volume":"55","author":"Willie","year":"2013","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0005","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.bone.2007.10.021","article-title":"Bone mineralization density distribution in health and disease","volume":"42","author":"Roschger","year":"2008","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0006","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.bone.2014.05.010","article-title":"Trends in trabecular architecture and bone mineral density distribution in 152 individuals aged 30\u201390years","volume":"66","author":"Koehne","year":"2014","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0007","doi-asserted-by":"crossref","first-page":"9290","DOI":"10.1016\/j.biomaterials.2014.07.051","article-title":"The influence of age on adaptive bone formation and bone resorption","volume":"35","author":"Birkhold","year":"2014","journal-title":"Biomaterials"},{"key":"10.1016\/j.actbio.2020.02.007_bib0008","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.bone.2014.05.013","article-title":"Mineralizing surface is the main target of mechanical stimulation independent of age: 3d dynamic in vivo morphometry","volume":"66","author":"Birkhold","year":"2014","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0009","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s00223-016-0217-4","article-title":"Tomography-based quantification of regional differences in cortical bone surface remodeling and mechano-response","volume":"100","author":"Birkhold","year":"2017","journal-title":"Calcif. Tissue Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0010","doi-asserted-by":"crossref","first-page":"23480","DOI":"10.1038\/srep23480","article-title":"The periosteal bone surface is less mechano-responsive than the endocortical","volume":"6","author":"Birkhold","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.actbio.2020.02.007_bib0011","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1056\/NEJMoa022464","article-title":"Bone loss and bone size after menopause","volume":"349","author":"Ahlborg","year":"2003","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.actbio.2020.02.007_bib0012","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1016\/S0140-6736(02)08761-5","article-title":"Diagnosis of osteoporosis and assessment of fracture risk","volume":"359","author":"Kanis","year":"2002","journal-title":"The Lancet"},{"key":"10.1016\/j.actbio.2020.02.007_bib0013","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/S8756-3282(03)00199-6","article-title":"Bone development and age-related bone loss in male C57BL\/6J mice","volume":"33","author":"Ferguson","year":"2003","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0014","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1359\/jbmr.2002.17.6.1044","article-title":"Changes in bone structure and mass with advancing age in the male C57BL\/6J mouse","volume":"17","author":"Halloran","year":"2002","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0015","doi-asserted-by":"crossref","first-page":"111003","DOI":"10.1115\/1.4005350","article-title":"Deterioration of bone quality in the tibia and fibula in growing mice during skeletal unloading: gender-related differences","volume":"133","author":"Ko","year":"2011","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.actbio.2020.02.007_bib0016","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1016\/j.bone.2008.12.026","article-title":"The mouse fibula as a suitable bone for the study of functional adaptation to mechanical loading","volume":"44","author":"Moustafa","year":"2009","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0017","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.bone.2013.05.005","article-title":"Mineralization kinetics in murine trabecular bone quantified by time-lapsed in vivo micro-computed tomography","volume":"56","author":"Lukas","year":"2013","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0018","first-page":"1","article-title":"HR-pQCT measures of bone microarchitecture predict fracture: systematic review and meta-analysis","volume":"0","author":"Mikolajewicz","year":"2019","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0019","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/S2213-8587(18)30308-5","article-title":"Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the bone microarchitecture international consortium (BOMIC): a prospective study","volume":"7","author":"Samelson","year":"2019","journal-title":"Lancet Diabetes Endocrinol."},{"key":"10.1016\/j.actbio.2020.02.007_bib0020","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/s00198-003-1489-x","article-title":"Bone quality: where do we go from here?","volume":"14","author":"Bouxsein","year":"2003","journal-title":"Osteoporos. Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0021","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.actbio.2015.03.027","article-title":"Long bone maturation is driven by pore closing: A quantitative tomography investigation of structural formation in young C57BL\/6 mice","volume":"22","author":"Bortel","year":"2015","journal-title":"Acta Biomater."},{"key":"10.1016\/j.actbio.2020.02.007_bib0022","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.bone.2010.05.034","article-title":"Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT","volume":"47","author":"Burghardt","year":"2010","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0023","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1002\/jbmr.141","article-title":"Guidelines for assessment of bone microstructure in rodents using micro\u2013computed tomography","volume":"25","author":"Bouxsein","year":"2010","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0024","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.bone.2013.06.026","article-title":"A quantitative framework for the 3d characterization of the osteocyte lacunar system","volume":"57","author":"Mader","year":"2013","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0025","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.bone.2015.02.027","article-title":"Monitoring in vivo (re) modeling: a computational approach using 4d microct data to quantify bone surface movements","volume":"75","author":"Birkhold","year":"2015","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0026","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1148\/121.1.93","article-title":"Quantification of bone mineralization using computed tomography","volume":"121","author":"R\u00fcegsegger","year":"1976","journal-title":"Radiology"},{"key":"10.1016\/j.actbio.2020.02.007_bib0027","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1002\/jbmr.171","article-title":"Age-related patterns of trabecular and cortical bone loss differ between sexes and skeletal sites: a population-based HR-pQCT study","volume":"26","author":"Macdonald","year":"2011","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0028","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/S8756-3282(00)00269-6","article-title":"Static and dynamic bone histomorphometry in children with osteogenesis imperfecta","volume":"26","author":"Rauch","year":"2000","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0029","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1146\/annurev-bioeng-071516-044442","article-title":"Deep learning in med. image anal","volume":"19","author":"Shen","year":"2017","journal-title":"Ann. Rev. Biomed. Eng."},{"key":"10.1016\/j.actbio.2020.02.007_bib0030","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","article-title":"A survey on deep learning in med. image anal","volume":"42","author":"Litjens","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.actbio.2020.02.007_bib0031","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.media.2016.10.010","article-title":"Deep learning for automated skeletal bone age assessment in x-ray images","volume":"36","author":"Spampinato","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.actbio.2020.02.007_bib0032","series-title":"Proceedings of the Thirteenth International Conference on Medical Information Processing and Analysis","first-page":"1057217","article-title":"Bone age detection via carpogram analysis using convolutional neural networks","volume":"10572","author":"Torres","year":"2017"},{"key":"10.1016\/j.actbio.2020.02.007_bib0033","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s10278-017-9955-8","article-title":"Fully automated deep learning system for bone age assessment","volume":"30","author":"Lee","year":"2017","journal-title":"J. Digit. Imaging"},{"key":"10.1016\/j.actbio.2020.02.007_bib0034","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1093\/gerona\/glt046","article-title":"The relevance of mouse models for investigating age-related bone loss in humans","volume":"68","author":"Jilka","year":"2013","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"key":"10.1016\/j.actbio.2020.02.007_bib0035","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.lfs.2015.10.025","article-title":"Men and mice: relating their ages","volume":"152","author":"Dutta","year":"2016","journal-title":"Life Sci."},{"key":"10.1016\/j.actbio.2020.02.007_bib0036","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.bone.2013.04.023","article-title":"Diminished response to in vivo mechanical loading in trabecular and not cortical bone in adulthood of female C57BL\/6 mice coincides with a reduction in deformation to load","volume":"55","author":"Willie","year":"2013","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0037","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"Krizhevsky","year":"2012"},{"key":"10.1016\/j.actbio.2020.02.007_sbref0038","series-title":"Best practices for convolutional neural networks applied to visual document analysis","first-page":"958","author":"Simard","year":"2003"},{"key":"10.1016\/j.actbio.2020.02.007_bib0039","series-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"10.1016\/j.actbio.2020.02.007_bib0040","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.actbio.2020.02.007_bib0041","series-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"10.1016\/j.actbio.2020.02.007_bib0042","series-title":"OSDI","first-page":"265","article-title":"Tensorflow: a system for large-scale machine learning","volume":"16","author":"Abadi","year":"2016"},{"key":"10.1016\/j.actbio.2020.02.007_bib0043","unstructured":"K. Simonyan, A. Vedaldi, A. Zisserman, Deep inside convolutional networks: Visualising image classification models and saliency maps, arXiv preprint, 2013. http:\/\/arxiv.org\/abs\/1312.6034."},{"key":"10.1016\/j.actbio.2020.02.007_bib0044","first-page":"1","article-title":"Visualizing Higher-layer Features of a Deep Network","volume":"1341","author":"Erhan","year":"2009","journal-title":"University of Montreal"},{"key":"10.1016\/j.actbio.2020.02.007_bib0045","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s00198-005-0027-4","article-title":"The effect of age and bone mineral density on the absolute, excess, and relative risk of fracture in postmenopausal women aged 50\u201399: results from the national osteoporosis risk assessment (Nora)","volume":"17","author":"Siris","year":"2006","journal-title":"Osteoporos. Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0046","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1634\/theoncologist.11-10-1121","article-title":"Bone loss and fracture risk associated with cancer therapy","volume":"11","author":"Guise","year":"2006","journal-title":"Oncologist"},{"key":"10.1016\/j.actbio.2020.02.007_bib0047","doi-asserted-by":"crossref","first-page":"14416","DOI":"10.1073\/pnas.1107966108","article-title":"Age-related changes in the plasticity and toughness of human cortical bone at multiple length scales","volume":"108","author":"Zimmermann","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.actbio.2020.02.007_bib0048","series-title":"Osteoporosis","first-page":"433","article-title":"Skeletal heterogeneity and the purposes of bone remodeling: implications for the understanding of osteoporosis","author":"Parfitt","year":"2001"},{"key":"10.1016\/j.actbio.2020.02.007_bib0049","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1080\/03008207.2018.1424149","article-title":"Late stages of mineralization and their signature on the bone mineral density distribution","volume":"59","author":"Buenzli","year":"2018","journal-title":"Connect. Tissue Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0050","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/s00223-003-0101-x","article-title":"Growth of C57BL\/6 mice and the material and mechanical properties of cortical bone from the tibia","volume":"74","author":"Somerville","year":"2004","journal-title":"Calcif. Tissue Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0051","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.bone.2011.05.017","article-title":"Tibial compression is anabolic in the adult mouse skeleton despite reduced responsiveness with aging","volume":"49","author":"Lynch","year":"2011","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0052","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1359\/jbmr.070507","article-title":"Age-related changes in trabecular architecture differ in female and male C57BL\/6J mice","volume":"22","author":"Glatt","year":"2007","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0053","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1007\/s00223-009-9261-7","article-title":"Geometry of a weight-bearing and non-weight-bearing bone in the legs of young, old, and very old men","volume":"85","author":"McNeil","year":"2009","journal-title":"Calcif. Tissue Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0054","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1016\/j.jbiomech.2014.11.020","article-title":"Bone adaptation to cyclic loading in murine caudal vertebrae is maintained with age and directly correlated to the local micromechanical environment","volume":"48","author":"Lambers","year":"2015","journal-title":"J. Biomech."},{"key":"10.1016\/j.actbio.2020.02.007_bib0055","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1007\/s00198-016-3846-6","article-title":"Compressive loading of the murine tibia reveals site-specific micro-scale differences in adaptation and maturation rates of bone","volume":"28","author":"Bergstr\u00f6m","year":"2017","journal-title":"Osteoporos. Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0056","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.bone.2009.08.054","article-title":"Functional adaptation to mechanical loading in both cortical and cancellous bone is controlled locally and is confined to the loaded bones","volume":"46","author":"Sugiyama","year":"2010","journal-title":"Bone"},{"key":"10.1016\/j.actbio.2020.02.007_bib0057","doi-asserted-by":"crossref","first-page":"S11","DOI":"10.1016\/S0020-1383(16)47003-8","article-title":"Bone mechanical properties and changes with osteoporosis","volume":"47","author":"Osterhoff","year":"2016","journal-title":"Injury"},{"key":"10.1016\/j.actbio.2020.02.007_bib0058","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s11657-014-0187-y","article-title":"Epidemiology and economic burden of osteoporosis in switzerland","volume":"9","author":"Svedbom","year":"2014","journal-title":"Arch. Osteoporos."},{"key":"10.1016\/j.actbio.2020.02.007_bib0059","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1016\/j.jbiomech.2016.04.010","article-title":"Machine learning based analytics of micro-MRI trabecular bone microarchitecture and texture in type 1 gaucher disease","volume":"49","author":"Sharma","year":"2016","journal-title":"J. Biomech."},{"key":"10.1016\/j.actbio.2020.02.007_bib0060","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.compbiomed.2017.10.011","article-title":"Classification of the trabecular bone structure of osteoporotic patients using machine vision","volume":"91","author":"Singh","year":"2017","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.actbio.2020.02.007_bib0061","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s10278-017-9955-8","article-title":"Fully automated deep learning system for bone age assessment","volume":"30","author":"Lee","year":"2017","journal-title":"J. Digit. Imaging"},{"key":"10.1016\/j.actbio.2020.02.007_bib0062","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s00223-013-9744-4","article-title":"Adaptation of tibial structure and strength to axial compression depends on loading history in both C57BL\/6 and BALB\/c mice","volume":"93","author":"Holguin","year":"2013","journal-title":"Calcif. Tissue Int."},{"key":"10.1016\/j.actbio.2020.02.007_bib0063","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.jbiomech.2017.10.018","article-title":"Examining tissue composition, whole-bone morphology and mechanical behavior of gorabprx1 mice tibiae: A mouse model of premature aging","volume":"65","author":"Yang","year":"2017","journal-title":"J. Biomech."},{"key":"10.1016\/j.actbio.2020.02.007_bib0064","doi-asserted-by":"crossref","first-page":"9435","DOI":"10.1038\/s41598-017-09653-9","article-title":"Sost deficiency led to a greater cortical bone formation response to mechanical loading and altered gene expr","volume":"7","author":"Pflanz","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.actbio.2020.02.007_bib0065","doi-asserted-by":"crossref","first-page":"e0169519","DOI":"10.1371\/journal.pone.0169519","article-title":"Effects of loading duration and short rest insertion on cancellous and cortical bone adaptation in the mouse tibia","volume":"12","author":"Yang","year":"2017","journal-title":"PLoS ONE"},{"key":"10.1016\/j.actbio.2020.02.007_bib0066","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1002\/jor.23727","article-title":"Evaluation of loading parameters for murine axial tibial loading: Stimulating cortical bone formation while reducing loading duration","volume":"36","author":"Sun","year":"2018","journal-title":"J. Orthop. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0067","doi-asserted-by":"crossref","first-page":"1786","DOI":"10.1002\/jbmr.2194","article-title":"Effects of odanacatib on the radius and tibia of postmenopausal women: improvements in bone geometry, microarchitecture, and estimated bone strength","volume":"29","author":"Cheung","year":"2014","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.actbio.2020.02.007_bib0068","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1002\/jbmr.2315","article-title":"Comparative effects of teriparatide, denosumab, and combination therapy on peripheral compartmental bone density, microarchitecture, and estimated strength: the data-HRPQCT study","volume":"30","author":"Tsai","year":"2015","journal-title":"J. Bone Miner. Res."}],"container-title":["Acta Biomaterialia"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1742706120300854?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1742706120300854?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T17:25:20Z","timestamp":1761672320000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1742706120300854"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":68,"alternative-id":["S1742706120300854"],"URL":"https:\/\/doi.org\/10.1016\/j.actbio.2020.02.007","relation":{},"ISSN":["1742-7061"],"issn-type":[{"value":"1742-7061","type":"print"}],"subject":[],"published":{"date-parts":[[2020,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo \u03bcCT imaging and deep learning","name":"articletitle","label":"Article Title"},{"value":"Acta Biomaterialia","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.actbio.2020.02.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}