Navid Shiee

1.9k total citations
25 papers, 1.4k citations indexed

About

Navid Shiee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Navid Shiee has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pathology and Forensic Medicine and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Navid Shiee's work include Multiple Sclerosis Research Studies (11 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Navid Shiee is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Navid Shiee collaborates with scholars based in United States and Germany. Navid Shiee's co-authors include Dzung L. Pham, Peter A. Calabresi, Daniel S. Reich, Pierre‐Louis Bazin, Arzu Öztürk, Ciprian M. Crainiceanu, Russell T. Shinohara, Farrah J. Mateen, Daniel M. Harrison and Elizabeth Sweeney and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Navid Shiee

25 papers receiving 1.4k citations

Peers

Navid Shiee

RNMI

PFM

CVPR

NEURO

RHEUM

Snehashis Roy United States

Marita Daams Netherlands

Arzu Öztürk United States

Dominik Meier United States

Blake E. Dewey United States

Ferrán Prados United Kingdom

Dong Soo Yoo South Korea

Sushmita Datta United States

Günther Grabner Austria

Françoise Durand‐Dubief France

Snehashis Roy United States

Navid Shiee

605 ×0.9

RNMI

489 ×0.8

PFM

605 ×2.4

CVPR

230 ×1.2

NEURO

182 ×1.0

RHEUM

Citations per year, relative to Navid Shiee Navid Shiee (= 1×) peers Snehashis Roy

Countries citing papers authored by Navid Shiee

Since Specialization

Citations

This map shows the geographic impact of Navid Shiee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Navid Shiee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navid Shiee more than expected).

Fields of papers citing papers by Navid Shiee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Navid Shiee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Navid Shiee. The network helps show where Navid Shiee may publish in the future.

Co-authorship network of co-authors of Navid Shiee

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Shiee. A scholar is included among the top collaborators of Navid Shiee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Navid Shiee. Navid Shiee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shinohara, Russell T., Elizabeth Sweeney, Jeff Goldsmith, et al.. (2014). Statistical normalization techniques for magnetic resonance imaging. NeuroImage Clinical. 6. 9–19. 269 indexed citations

Chou, Yi‐Yu, et al.. (2014). Characterizing the spatial distribution of microhemorrhages resulting from Traumatic Brain Injury (TBI). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9038. 90381Q–90381Q. 1 indexed citations

Saidha, Shiv, Elias S. Sotirchos, Jiwon Oh, et al.. (2013). Relationships Between Retinal Axonal and Neuronal Measures and Global Central Nervous System Pathology in Multiple Sclerosis. JAMA Neurology. 70(1). 34–34. 184 indexed citations

Sweeney, Elizabeth, Russell T. Shinohara, Navid Shiee, et al.. (2013). OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI. NeuroImage Clinical. 2. 402–413. 70 indexed citations

Roy, Snehashis, Aaron Carass, Navid Shiee, et al.. (2013). Longitudinal intensity normalization in the presence of multiple sclerosis lesions. PubMed. 1384–1387. 6 indexed citations

Shiee, Navid, Pierre‐Louis Bazin, Jennifer L. Cuzzocreo, et al.. (2013). Reconstruction of the human cerebral cortex robust to white matter lesions: Method and validation. Human Brain Mapping. 35(7). 3385–3401. 28 indexed citations

Lee, Seonjoo, Vadim Zipunnikov, Navid Shiee, et al.. (2013). Clustering of High Dimensional Longitudinal Imaging Data. 1 indexed citations

He, Qing, Navid Shiee, Daniel S. Reich, Peter A. Calabresi, & Dzung L. Pham. (2013). Intensity standardization of longitudinal images using 4D clustering. 11. 1388–1391. 1 indexed citations

Harrison, Daniel M., Navid Shiee, Pierre‐Louis Bazin, et al.. (2012). Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis. Journal of Neurology. 260(2). 397–406. 35 indexed citations

10.

Shiee, Navid, Pierre‐Louis Bazin, Kathleen M. Zackowski, et al.. (2012). Revisiting Brain Atrophy and Its Relationship to Disability in Multiple Sclerosis. PLoS ONE. 7(5). e37049–e37049. 92 indexed citations

11.

Shea, Colin D., Joan Ohayon, Blake C. Jones, et al.. (2012). The effect of daclizumab on brain atrophy in relapsing-remitting multiple sclerosis. Multiple Sclerosis and Related Disorders. 2(2). 133–140. 25 indexed citations

12.

Landman, Bennett A., John Bogovic, Aaron Carass, et al.. (2012). System for Integrated Neuroimaging Analysis and Processing of Structure. Neuroinformatics. 11(1). 91–103. 17 indexed citations

13.

Ratchford, John N., Christopher J. Endres, Dima A. Hammoud, et al.. (2011). Decreased microglial activation in MS patients treated with glatiramer acetate. Journal of Neurology. 259(6). 1199–1205. 70 indexed citations

14.

Shiee, Navid, Pierre‐Louis Bazin, Jennifer L. Cuzzocreo, Ari M. Blitz, & Dzung L. Pham. (2011). Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly. Lecture notes in computer science. 22. 1–12. 29 indexed citations

15.

Bazin, Pierre‐Louis, Chuyang Ye, John Bogovic, et al.. (2011). Direct segmentation of the major white matter tracts in diffusion tensor images. NeuroImage. 58(2). 458–468. 55 indexed citations

16.

Harrison, Daniel M., et al.. (2011). Longitudinal changes in diffusion tensor–based quantitative MRI in multiple sclerosis. Neurology. 76(2). 179–186. 63 indexed citations

17.

Roy, Snehashis, Aaron Carass, Navid Shiee, Dzung L. Pham, & Jerry L. Prince. (2010). MR contrast synthesis for lesion segmentation. PubMed. 2010. 932–935. 37 indexed citations

18.

Shiee, Navid, Pierre‐Louis Bazin, Arzu Öztürk, et al.. (2009). A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage. 49(2). 1524–1535. 250 indexed citations

19.

Shiee, Navid, Pierre‐Louis Bazin, Daniel S. Reich, & Dzung L. Pham. (2009). Automated reconstruction of the cerebral cortex in multiple sclerosis patients. 1334–1337. 2 indexed citations

20.

Shiee, Navid, Pierre‐Louis Bazin, & Dzung L. Pham. (2008). Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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