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Cited by in CrossRef
For: Zaia A. Fractal lacunarity of trabecular bone and magnetic resonance imaging: New perspectives for osteoporotic fracture risk assessment. World J Orthop 2015; 6(2): 221-235 [PMID: 25793162 DOI: 10.5312/wjo.v6.i2.221]
URL: https://www.wjgnet.com/2218-5836/full/v6/i2/221.htm
Number Citing Articles
1
Konradin Metze, Randall Adam, João Batista Florindo. The fractal dimension of chromatin - a potential molecular marker for carcinogenesis, tumor progression and prognosisExpert Review of Molecular Diagnostics 2019; 19(4): 299 doi: 10.1080/14737159.2019.1597707
2
Robert P. Adelson, Brisa Palikuqi, Zachary Weiss, Antonio Checco, Ryan Schreiner, Shahin Rafii, Sina Y. Rabbany. Morphological characterization of Etv2 vascular explants using fractal analysis and atomic force microscopyMicrovascular Research 2021; 138: 104205 doi: 10.1016/j.mvr.2021.104205
3
Irene Donato, Kiran K Velpula, Andrew J Tsung, Jack A Tuszynski, Consolato M Sergi. Demystifying neuroblastoma malignancy through fractal dimension, entropy, and lacunarityTumori Journal 2023; 109(4): 370 doi: 10.1177/03008916221146208
4
ZBIGNIEW OMIOTEK, RÓŻA DZIERŻAK, ANDRZEJ KȨPA. FRACTAL ANALYSIS AS A METHOD FOR FEATURE EXTRACTION IN DETECTING OSTEOPOROTIC BONE DESTRUCTIONFractals 2021; 29(04): 2150095 doi: 10.1142/S0218348X2150095X
5
Elena Ioana Iconaru, Manuela Mihaela Ciucurel, Luminita Georgescu, Constantin Ciucurel. Hand grip strength as a physical biomarker of aging from the perspective of a Fibonacci mathematical modelingBMC Geriatrics 2018; 18(1) doi: 10.1186/s12877-018-0991-0
6
Annamaria Zaia, Pierluigi Maponi, Manuela Sallei, Roberta Galeazzi, Pietro Scendoni. Measuring Drug Therapy Effect on Osteoporotic Fracture Risk by Trabecular Bone Lacunarity: The LOTO StudyBiomedicines 2023; 11(3): 781 doi: 10.3390/biomedicines11030781
7
Pianpian Chen, Yunfei Zha, Li Wang, Liang Li, Lei Hu, Dong Xing, Baiyu Liu, Liu Yang, Qi Yang, Changsheng Liu, Huan Liu, Weiyin Liu. Evaluation of Bone Marrow Texture and Trabecular Changes With Quantitative DCE-MRI and QCT in Alloxan-Induced Diabetic Rabbit ModelsFrontiers in Endocrinology 2021; 12 doi: 10.3389/fendo.2021.785604
8
Annamaria Zaia, Pierluigi Maponi. Mitochondrial DNA Profiling by Fractal Lacunarity to Characterize the Senescent Phenotype as Normal Aging or Pathological AgingFractal and Fractional 2022; 6(4): 219 doi: 10.3390/fractalfract6040219
9
Stephen Wolfson. Diagnosing ASD with fractal analysisAdvances in Autism 2017; 3(1): 47 doi: 10.1108/AIA-03-2016-0007
10
K. Kouser, B. S. Rashmi, Lalitha Rangarajan. Entropy Based Feature Selection for Lacunarity Analysis of Position Specific Motif Matrices of Promoter SequencesProceedings of the International Conference on Informatics and Analytics 2016; : 1 doi: 10.1145/2980258.2982141
11
Annamaria Zaia, Martina Zannotti, Lucia Losa, Pierluigi Maponi. Fractal Features of Muscle to Quantify Fatty Infiltration in Aging and PathologyFractal and Fractional 2024; 8(5): 275 doi: 10.3390/fractalfract8050275
12
Annamaria Zaia, Pierluigi Maponi, Martina Zannotti, Tiziana Casoli. Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Mitochondrial DNA Profiling of Parkinson’s DiseaseInternational Journal of Molecular Sciences 2020; 21(5): 1758 doi: 10.3390/ijms21051758
13
Annamaria Zaia, Roberto Rossi, Roberta Galeazzi, Manuela Sallei, Pierluigi Maponi, Pietro Scendoni. Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO studyBMC Musculoskeletal Disorders 2021; 22(1) doi: 10.1186/s12891-021-03966-7
14
Zhengwei Xu, Dingjun Hao, Limin He, Hua Guo, Baorong He, Tuanjiang Liu, Yonghong Zheng, Dongqi Wang. An assessment system for evaluating the severity of thoracolumbar osteoporotic fracture and its clinical application: A retrospective study of 381 casesClinical Neurology and Neurosurgery 2015; 139: 70 doi: 10.1016/j.clineuro.2015.09.006
15
Zbigniew Omiotek, Róża Dzierżak, Sebastian Uhlig. Fractal analysis of the computed tomography images of vertebrae on the thoraco-lumbar region in diagnosing osteoporotic bone damageProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2019; 233(12): 1269 doi: 10.1177/0954411919880695
16
Catherine Cormier, Eugenie Koumakis, Jean-Claude Souberbielle. Choosing the tool for osteoporosis risk predictionCurrent Opinion in Clinical Nutrition and Metabolic Care 2015; 18(5): 457 doi: 10.1097/MCO.0000000000000210
17
Verónica Vasconcelos, João Barroso, Luis Marques, José Silvestre Silva. Enhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential LacunarityBioMed Research International 2015; 2015: 1 doi: 10.1155/2015/672520
18
Annamaria Zaia, Pierluigi Maponi, Giuseppina Di Stefano, Tiziana Casoli. Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Focus on Mitochondrial DNA and Alzheimer’s DiseaseAging and disease 2017; 8(1): 44 doi: 10.14336/AD.2016.0629
19
Elif Aslan, Erinc Onem, Ali Mert, B Guniz Baksi. Comparison of quantitative radiomorphometric predictors of healthy and MRONJ-affected bone using panoramic radiography and cone-beam CTDentomaxillofacial Radiology 2024; 53(6): 407 doi: 10.1093/dmfr/twae024
20
V. V. Zhukouskaya, C. Eller-Vainicher, A. P. Shepelkevich, Y. Dydyshko, E. Cairoli, I. Chiodini. Bone health in type 1 diabetes: focus on evaluation and treatment in clinical practiceJournal of Endocrinological Investigation 2015; 38(9): 941 doi: 10.1007/s40618-015-0284-9
21
Muthu Subash Kavitha, Pugalendhi Ganesh Kumar, Soon-Yong Park, Kyung-Hoe Huh, Min-Suk Heo, Takio Kurita, Akira Asano, Seo-Yong An, Sung-Il Chien. Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approachesDentomaxillofacial Radiology 2016; 45(7): 20160076 doi: 10.1259/dmfr.20160076