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Seyed Mostafa Mousavi Kahaki, Ph.D.

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Overview
Dr. Kahaki is a research fellow at BWH, Harvard Medical School working on a Cancer Image Analysis project to find out how tumor characteristics based on their shape features are related to the profile of T cells in colorectal cancers, and how those T cell profiles relate to cancer survival. His research interest includes Machine Learning, Deep Learning, Medical Image Analysis, Cancer Data Analysis, and Image Processing.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Kahaki SMM, Deng H, Stepanyants A. Correction of topological errors in automated traces of neurites. Proc SPIE Int Soc Opt Eng. 2021 Feb; 11596. PMID: 33692606.
    Citations:    
  2. Wang SL, Kahaki SMM, Stepanyants A. Artificial neural network filters for enhancing 3D optical microscopy images of neurites. Proc SPIE Int Soc Opt Eng. 2019 Feb; 10949. PMID: 30971853.
    Citations: 1     
  3. Kahaki SMM, Wang SL, Stepanyants A. Accurate registration of in vivo time-lapse images. Proc SPIE Int Soc Opt Eng. 2019 Feb; 10949. PMID: 30956384.
    Citations:    
  4. Kahaki SMM, Arshad H, Nordin MJ, Ismail W. Geometric feature descriptor and dissimilarity-based registration of remotely sensed imagery. PLoS One. 2018; 13(7):e0200676. PMID: 30024921.
    Citations: 1     Fields:    
  5. Mousavi Kahaki SM, Nordin MJ, Ashtari AH, J Zahra S. Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features. PLoS One. 2016; 11(3):e0149710. PMID: 26985996.
    Citations: 3     Fields:    
  6. S.M.M. Kahaki Md Jan Nordin Amir H.Ashtari Sophia J.Zahra. Deformation invariant image matching based on dissimilarity of spatial features. Neurocomputing. 2016; B(175):1009-1018. View Publication.
  7. Ashtari AH, Nordin MJ, Kahaki SM. Double Line Image Rotation. IEEE Trans Image Process. 2015 Nov; 24(11):3370-85. PMID: 26054069.
    Citations: 2     Fields:    
  8. Kahaki SM, Nordin MJ, Ashtari AH. Contour-based corner detection and classification by using mean projection transform. Sensors (Basel). 2014 Feb 28; 14(3):4126-43. PMID: 24590354.
    Citations: 5     Fields:    
  9. Drolshammer I, Wiesmann E, Eckert J. [Echinococcosis in humans in Switzerland 1956-1969]. Schweiz Med Wochenschr. 1973 Sep 29; 103(39):1337-41. PMID: 4795769.
    Citations: 8     Fields:    Translation:HumansAnimalsPHPublic Health
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.