BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Cao X, Wang X, Xue C, Zhang S, Huang Q, Liu W. A Radiomics Approach to Predicting Parkinson's Disease by Incorporating Whole-Brain Functional Activity and Gray Matter Structure. Front Neurosci 2020;14:751. [PMID: 32760248 DOI: 10.3389/fnins.2020.00751] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Jiao X, Yuan M, Li Q, Huang Y, Ji M, Li J, Yan S, Sun H, Wang X, Pan Z, Ren Q, Wang D, Wang G. Brain Morphological and Functional Changes in Adenomyosis with Pain: A Resting State Functional Magnetic Resonance Imaging Study. JCM 2022;11:5286. [DOI: 10.3390/jcm11185286] [Reference Citation Analysis]
2 Kim BH, Kim MK, Jo HJ, Kim JJ. Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features. Sci Rep 2022;12:13932. [PMID: 35977968 DOI: 10.1038/s41598-022-17769-w] [Reference Citation Analysis]
3 Tafuri B, Filardi M, Urso D, De Blasi R, Rizzo G, Nigro S, Logroscino G. Radiomics Model for Frontotemporal Dementia Diagnosis Using T1-Weighted MRI. Front Neurosci 2022;16:828029. [DOI: 10.3389/fnins.2022.828029] [Reference Citation Analysis]
4 Shi D, Yao X, Li Y, Zhang H, Wang G, Wang S, Ren K. Classification of Parkinson’s disease using a region-of-interest- and resting-state functional magnetic resonance imaging-based radiomics approach. Brain Imaging and Behavior. [DOI: 10.1007/s11682-022-00685-y] [Reference Citation Analysis]
5 Li Z, Liu L, Zhang Z, Yang X, Li X, Gao Y, Huang K. A Novel CT-Based Radiomics Features Analysis for Identification and Severity Staging of COPD. Acad Radiol 2022;29:663-73. [PMID: 35151548 DOI: 10.1016/j.acra.2022.01.004] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Lee K, Cao X. Bayesian joint inference for multiple directed acyclic graphs. Journal of Multivariate Analysis 2022. [DOI: 10.1016/j.jmva.2022.105003] [Reference Citation Analysis]
7 Kang JJ, Chen Y, Xu GD, Bao SL, Wang J, Ge M, Shen LH, Jia ZZ. Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson’s disease and assessing cognitive impairment. Eur Radiol. [DOI: 10.1007/s00330-022-08790-8] [Reference Citation Analysis]
8 Luo B, Dong W, Chang L, Qiu C, Lu Y, Liu D, Xue C, Zhang L, Liu W, Zhang W, Yan J. Altered Interhemispheric Functional Connectivity Associated With Early Verbal Fluency Decline After Deep Brain Stimulation in Parkinson’s Disease. Front Aging Neurosci 2022;14:799545. [DOI: 10.3389/fnagi.2022.799545] [Reference Citation Analysis]
9 Shi D, Zhang H, Wang G, Wang S, Yao X, Li Y, Guo Q, Zheng S, Ren K. Machine Learning for Detecting Parkinson’s Disease by Resting-State Functional Magnetic Resonance Imaging: A Multicenter Radiomics Analysis. Front Aging Neurosci 2022;14:806828. [DOI: 10.3389/fnagi.2022.806828] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Salari N, Kazeminia M, Sagha H, Daneshkhah A, Ahmadi A, Mohammadi M. The performance of various machine learning methods for Parkinson’s disease recognition: a systematic review. Curr Psychol. [DOI: 10.1007/s12144-022-02949-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
11 Shi D, Zhang H, Wang S, Wang G, Ren K. Application of Functional Magnetic Resonance Imaging in the Diagnosis of Parkinson's Disease: A Histogram Analysis. Front Aging Neurosci 2021;13:624731. [PMID: 34045953 DOI: 10.3389/fnagi.2021.624731] [Reference Citation Analysis]
12 Tupe-Waghmare P, Rajan A, Prasad S, Saini J, Pal PK, Ingalhalikar M. Radiomics on routine T1-weighted MRI can delineate Parkinson's disease from multiple system atrophy and progressive supranuclear palsy. Eur Radiol 2021. [PMID: 33945022 DOI: 10.1007/s00330-021-07979-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Zhang X, Cao X, Xue C, Zheng J, Zhang S, Huang Q, Liu W. Aberrant functional connectivity and activity in Parkinson's disease and comorbidity with depression based on radiomic analysis. Brain Behav 2021;11:e02103. [PMID: 33694328 DOI: 10.1002/brb3.2103] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]