Author

Ramesh Sridharan

MIT Computer Science and Artificial Intelligence Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Achala S. VagaliD· 1 shared Adrian Vasile DalcaiD· 1 shared Agnieszka SłowikiD· 1 shared Anne‐Katrin GieseiD· 1 shared Arne G. LindgreniD· 1 shared Bradford B. WorralliD· 1 shared Braxton D. MitchelliD· 1 shared Christina JerniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Achala S. VagalORCID

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1 paper

Recent·Most cited

White Matter Hyperintensity Quantification in Large-Scale Clinical Acute Ischemic Stroke Cohorts - The MRI-GENIE Study

Markus D. Schirmer, Adrian Vasile Dalca, Ramesh Sridharan, Anne‐Katrin Giese, Kathleen Donahue, Marco Nardin, Steven J. T. Mocking, Elissa C. McIntosh, Petrea Frid, Johan Wassélius, John W. Cole, Lukas Holmegaard, Christina Jern, Jordi Jiménez-Conde, Robin Lemmens, , on behalf of the MRI-GENIE Investigators

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.

NeuroImage Clinical · Jan 1, 2019Peer-reviewedNeuroscience