Author

Jinyoung Kim

ORCID 0000-0002-5862-0363Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jinyoung Kim1 paper · University of California, Los Angeles

Biology Disciplines

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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Guillermo SapiroiD· 2 shared Noam HareliD· 2 shared Yuval DuchiniD· 2 shared Jerrold L. VitekiD· 1 shared Rémi PatriatiD· 1 shared Reuben R Shamir· 1 shared Reuben Ruby ShamiriD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

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7 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Guillermo SapiroORCID

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2 papers

Recent·Most cited

NeuroscienceHuman Brain MappingPeer-reviewedOct 31, 2018

Automatic Localization of the Subthalamic Nucleus on Patient-Specific Clinical MRI by Incorporating 7T MRI and Machine Learning: Application in Deep Brain Stimulation

Jinyoung Kim, Yuval Duchin, Reuben Ruby Shamir…·Guillermo Sapiro

This paper develops an automatic method to localize the subthalamic nucleus on standard clinical MRI using 7T MRI data and machine learning, showing improved accuracy compared to existing atlases.

40 citations

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BioengineeringbioRxivPreprintApr 25, 2018

Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations

Reuben R Shamir, Yuval Duchin, Jinyoung Kim…·Noam Harel

This paper introduces the continuous Dice coefficient (cDC) to evaluate probabilistic segmentations, showing it is less biased to structure size and more robust to partial volume effects than the classical Dice coefficient.

DOI 10.1101/306977

imagingstatistical model

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