BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Rangayyan RM, Oloumi F, Wu Y, Cai S. Fractal analysis of knee-joint vibroarthrographic signals via power spectral analysis. Biomedical Signal Processing and Control 2013;8:23-9. [DOI: 10.1016/j.bspc.2012.05.004] [Cited by in Crossref: 57] [Cited by in F6Publishing: 17] [Article Influence: 6.3] [Reference Citation Analysis]
Number Citing Articles
1 Sharma M, Sharma P, Pachori RB, M. Gadre V. Double Density Dual-Tree Complex Wavelet Transform-Based Features for Automated Screening of Knee-Joint Vibroarthrographic Signals. In: Tanveer M, Pachori RB, editors. Machine Intelligence and Signal Analysis. Singapore: Springer; 2019. pp. 279-90. [DOI: 10.1007/978-981-13-0923-6_24] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 Ye Y, Wan Z, Liu B, Xu H, Wang Q, Ding T. Monitoring deterioration of knee osteoarthritis using vibration arthrography in daily activities. Comput Methods Programs Biomed 2022;213:106519. [PMID: 34826659 DOI: 10.1016/j.cmpb.2021.106519] [Reference Citation Analysis]
3 Samani A, Andersen RE, Arendt-nielsen L, Madeleine P. Discrimination of knee osteoarthritis patients from asymptomatic individuals based on pain sensitivity and knee vibroarthrographic recordings. Physiol Meas 2020;41:055002. [DOI: 10.1088/1361-6579/ab8857] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Nalband S, Sundar A, Prince AA, Agarwal A. Feature selection and classification methodology for the detection of knee-joint disorders. Computer Methods and Programs in Biomedicine 2016;127:94-104. [DOI: 10.1016/j.cmpb.2016.01.020] [Cited by in Crossref: 51] [Cited by in F6Publishing: 18] [Article Influence: 8.5] [Reference Citation Analysis]
5 Zou Q, Xie S, Lin Z, Wu M, Ju Y. Finding the Best Classification Threshold in Imbalanced Classification. Big Data Research 2016;5:2-8. [DOI: 10.1016/j.bdr.2015.12.001] [Cited by in Crossref: 67] [Cited by in F6Publishing: 15] [Article Influence: 11.2] [Reference Citation Analysis]
6 Befrui N, Elsner J, Flesser A, Huvanandana J, Jarrousse O, Le TN, Müller M, Schulze WHW, Taing S, Weidert S. Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features. Med Biol Eng Comput 2018;56:1499-514. [DOI: 10.1007/s11517-018-1785-4] [Cited by in Crossref: 22] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
7 Andersen RE, Arendt-nielsen L, Madeleine P. Knee joint vibroarthrography of asymptomatic subjects during loaded flexion-extension movements. Med Biol Eng Comput 2018;56:2301-12. [DOI: 10.1007/s11517-018-1856-6] [Cited by in Crossref: 14] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
8 Zhang M, Chen J, Ma Y, Shen L, He Y, Lin H. Fractal reconstruction of rough membrane surface related with membrane fouling in a membrane bioreactor. Bioresource Technology 2016;216:817-23. [DOI: 10.1016/j.biortech.2016.06.034] [Cited by in Crossref: 29] [Cited by in F6Publishing: 18] [Article Influence: 4.8] [Reference Citation Analysis]
9 Yang S, Cai S, Zheng F, Wu Y, Liu K, Wu M, Zou Q, Chen J. Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method. Medical Engineering & Physics 2014;36:1305-11. [DOI: 10.1016/j.medengphy.2014.07.008] [Cited by in Crossref: 35] [Cited by in F6Publishing: 17] [Article Influence: 4.4] [Reference Citation Analysis]
10 Zhang W, Lu C, Dong P, Fang Y, Yin Y, Hu Z, Xu H, Ruan M. Fractal Reconstruction of Microscopic Rough Surface for Soot Layer during Ceramic Filtration Based On Weierstrass–Mandelbrot Function. Ind Eng Chem Res 2018;57:4033-44. [DOI: 10.1021/acs.iecr.7b03845] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
11 Wu Y, Cai S, Yang S, Zheng F, Xiang N. Classification of Knee Joint Vibration Signals Using Bivariate Feature Distribution Estimation and Maximal Posterior Probability Decision Criterion. Entropy 2013;15:1375-87. [DOI: 10.3390/e15041375] [Cited by in Crossref: 27] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
12 Kręcisz K, Bączkowicz D. Analysis and multiclass classification of pathological knee joints using vibroarthrographic signals. Computer Methods and Programs in Biomedicine 2018;154:37-44. [DOI: 10.1016/j.cmpb.2017.10.027] [Cited by in Crossref: 18] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
13 Xiang N, Cai S, Yang S, Zhong Z, Zheng F, He J, Wu Y. Statistical Analysis of Gait Maturation in Children Using Nonparametric Probability Density Function Modeling. Entropy 2013;15:753-66. [DOI: 10.3390/e15030753] [Cited by in Crossref: 12] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
14 Sharma M, Acharya UR. Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank. Computers & Electrical Engineering 2018;72:191-202. [DOI: 10.1016/j.compeleceng.2018.08.019] [Cited by in Crossref: 29] [Cited by in F6Publishing: 11] [Article Influence: 7.3] [Reference Citation Analysis]
15 Harrar K, Hamami L, Lespessailles E, Jennane R. Piecewise Whittle estimator for trabecular bone radiograph characterization. Biomedical Signal Processing and Control 2013;8:657-66. [DOI: 10.1016/j.bspc.2013.06.009] [Cited by in Crossref: 24] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
16 Wu Y, Yang S, Zheng F, Cai S, Lu M, Wu M. Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis. Physiol Meas 2014;35:429-39. [PMID: 24521557 DOI: 10.1088/0967-3334/35/3/429] [Cited by in Crossref: 29] [Cited by in F6Publishing: 5] [Article Influence: 3.6] [Reference Citation Analysis]
17 Wu Y, Chen P, Luo X, Huang H, Liao L, Yao Y, Wu M, Rangayyan RM. Quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measures. Comput Methods Programs Biomed 2016;130:1-12. [PMID: 27208516 DOI: 10.1016/j.cmpb.2016.03.021] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 4.3] [Reference Citation Analysis]
18 Bączkowicz D, Majorczyk E. Joint Motion Quality in Chondromalacia Progression Assessed by Vibroacoustic Signal Analysis. PM R 2016;8:1065-71. [PMID: 27060646 DOI: 10.1016/j.pmrj.2016.03.012] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis]
19 Cai S, Yang S, Zheng F, Lu M, Wu Y, Krishnan S. Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion. Comput Math Methods Med 2013;2013:904267. [PMID: 23573175 DOI: 10.1155/2013/904267] [Cited by in Crossref: 29] [Cited by in F6Publishing: 15] [Article Influence: 3.2] [Reference Citation Analysis]
20 Cabral TM, Rangayyan RM. Fractal Analysis of Breast Masses in Mammograms. Synthesis Lectures on Biomedical Engineering 2012;7:1-118. [DOI: 10.2200/s00453ed1v01y201210bme046] [Cited by in Crossref: 10] [Article Influence: 1.0] [Reference Citation Analysis]