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Bio
Manisha Aggarwal, Ph.D., is an Associate Professor in the Department of Radiology and Radiological Science at the Johns Hopkins University School of Medicine.
Dr. Aggarwal is an investigator whose research focuses on high-field magnetic resonance imaging (MRI) techniques, advanced diffusion micro-imaging and acquisition methods, pre-clinical MRI, and the applications of these techniques for brain imaging.
Dr. Aggarwal earned Ph.D. and M.S.E. degrees in biomedical engineering from the Johns Hopkins University School of Medicine. She holds a Bachelor of Technology (Honors) degree in instrumentation engineering and a minor in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur. She completed her post-doctoral research in Radiology at Johns Hopkins University.
Dr. Aggarwal is a Siebel Scholar and a Junior Fellow of the International Society for Magnetic Resonance in Medicine.
Dr. Aggarwal is an investigator whose research focuses on high-field magnetic resonance imaging (MRI) techniques, advanced diffusion micro-imaging and acquisition methods, pre-clinical MRI, and the applications of these techniques for brain imaging.
Dr. Aggarwal earned Ph.D. and M.S.E. degrees in biomedical engineering from the Johns Hopkins University School of Medicine. She holds a Bachelor of Technology (Honors) degree in instrumentation engineering and a minor in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur. She completed her post-doctoral research in Radiology at Johns Hopkins University.
Dr. Aggarwal is a Siebel Scholar and a Junior Fellow of the International Society for Magnetic Resonance in Medicine.
Research Interests
Papers共 88 篇Author StatisticsCo-AuthorSimilar Experts
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bioRxiv the preprint server for biology (2024)
Minmin Yao,Zhiliang Wei, JOnathan S Nielsen, Aaron Kakazu, Yuxiao Ouyang, Ruoxuan Li,Tiffany Chu,Susanna Scafidi,Hanzhang Lu,Manisha Aggarwal,Wenzhen Duan
bioRxiv : the preprint server for biology (2024)
arXiv (Cornell University) (2023)
NeuroImage (2022): 119146-119146
arXiv (Cornell University) (2022)
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Author Statistics
#Papers: 86
#Citation: 4578
H-Index: 32
G-Index: 54
Sociability: 8
Diversity: 2
Activity: 12
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