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		题名	作者	年代	出处	被引量
	1	Neural interaction between the basal fore- brain and functionally distinct prefrontal cortices in the rhesus monkey 显示文摘	Ghashghaei HT Barbas H	2001	Neurosclence2001，103，3：	1
	2	Reinduction of ErbB2 in astrocytes promotes radial glial progenitor identity in adult cerebral cortex显示文摘	Ghashghaei HT Weimer JM Schmid RS	2007	Genes & Dev2007，21，24：	1
	3	Reinduction of ErbB2 in astrocytes promotes radial glial progenitor identity in adult cerebral cortex 显示文摘	Ghashghaei HT Weimer J M Ralf S	2007	Genes & Dev2007，21，24：	1
	4	Receptor tyrosine kinase ErbB4 modulates neuroblast migration and placement in the adult forebrain显示文摘	Anton ES Ghashghaei HT Weber JL	2004	Nat Neurosci2004，7，12：	1
	5	Neural interaction between the basal forebrain and functionally distinct prefrontal cortices in the rhesus monkey显示文摘	Ghashghaei HT Barbas H	2001	Neuroscience2001，103，：	1
	6	Receptor tyrosine kinase ErbB4 modulates neuroblast migration and placement in the adult forebrain显示文摘	Anton E S Ghashghaei H T Weber J L	2004	Nat Neurosci2004，7，12：	1
	7	Unique glycan signatures regulate adeno-associated virus tropism in the developing brain显示文摘	Murlidharan G Corriher T Ghashghaei HT	2015	J Virol2015，89，7：	1
	8	Oxidative stress and total antioxidant capacity in handball players 显示文摘	Sharifi G Najafabadi AB Ghashghaei FE	2014	Advanced Biomedical Research2014，3，：	1
	9	Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala显示文摘	Ghashghaei HT Hilgetag CC Barbas H	2007	Neuroimage2007，34，：	1
	10	Neural interaction between the basal forebrain and functionally distinct prefrontal corticies in the rhesus monkey 显示文摘	Ghashghaei H T Barbas H	2001	Neuroscience2001，103，：	1
	11	Exercise - based cardiac rehabilitation improves hemodynamic responses af- ter coronary artery bypass graft surgery显示文摘	Ghashghaei FE Sadeghi M Marandi SM	2012	ARYA Atheroscler2012，7，4：	1
	12	Reinduction of ErbB2 in astrocytes promotes radial glial progenitor identity in adult cerebral cortex 显示文摘	Ghashghaei H T Weimer J M Schmid R S	2007	Genes Dev2007，21，24：	1
	13	Exercise-based cardiac rehabilitation improves hemodynamic responses after cor- onary artery bypass graft surgery显示文摘	Ghashghaei FE Sadeghi M Marandi SM	2012	ARYA Atheroscler2012，7，4：	1
	14	Exercise-based cardiac rehabilitation improves hemodynamic responses after coronary artery bypass graft surgery显示文摘	Ghashghaei FE Sadeghi M Marandi SM		0，，04：	1
	15	The role of neuregulin- ErbB4 interactions on the proliferation and organization of cells in the subventricular zone显示文摘	Ghashghaei HT Weber J Pevny L	2006	Proc Natl Acad Sci USA2006，103，：	1
	16	Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning显示文摘Background:Grayscale image attributes of computed tomography(CT)of pulmonary scans contain valuable information relating to patients with respiratory ailments.These attributes are used to evaluate the severity of lung conditions of patients confirmed to be with and without COVID-19.Method:Five hundred thirteen CT images relating to 57 patients(49 with COVID-19;8 free of COVID-19)were collected at Namazi Medical Centre(Shiraz,Iran)in 2020 and 2021.Five visual scores(VS:0,1,2,3,or 4)are clinically assigned to these images with the score increasing with the severity of COVID-19-related lung conditions.Eleven deep learning and machine learning techniques(DL/ML)are used to distinguish the VS class based on 12 grayscale image attributes.Results:The convolutional neural network achieves 96.49%VS accuracy(18 errors from 513 images)successfully distinguishing VS Classes 0 and 1,outperforming clinicians’visual inspections.An algorithmic score(AS),involving just five grayscale image attributes,is developed independently of clinicians’assessments(99.81%AS accuracy;1 error from 513 images).Conclusion:Grayscale CT image attributes can be successfully used to distinguish the severity of COVID-19 lung damage.The AS technique developed provides a suitable basis for an automated system using ML/DL methods and 12 image attributes.	Sara Ghashghaei David A.Wood Erfan Sadatshojaei Mansooreh Jalilpoor	2022	Chronic Diseases and Translational Medicine2022，8，3：	0

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