Author

Kenneth Kreutz-Delgado

University of California San DiegoORCID 0000-0001-8135-6823Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Alejandro OjedaiD· 1 shared Ishan Mohanty· 1 shared James B. Brown· 1 shared Jyoti MishraiD· 1 shared Klaus GramanniD· 1 shared Marius KlugiD· 1 shared Mita BanikiD· 1 shared Nidhi SinghiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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1 shared paperNeuroscience

Alejandro OjedaORCID

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2 papers

Recent·Most cited

PathologybioRxivPreprintMar 5, 2025

Adaptive Example Selection: Prototype-Based Explainability for Interpretable Mitosis Detection

Mita Banik, Kenneth Kreutz-Delgado, Ishan Mohanty…·Nidhi Singh

This paper introduces Adaptive Example Selection (AES), an XAI framework for mitosis detection that enhances model interpretability by comparing test cases with annotated prototypes.

1 citation

imagingdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintNov 20, 2019

A Bayesian framework for unifying data cleaning, source separation and imaging of electroencephalographic signals

Alejandro Ojeda, Marius Klug, Kenneth Kreutz-Delgado…·Jyoti Mishra

This paper introduces a Bayesian framework that unifies EEG data cleaning, source separation, and imaging, showing improved performance over existing methods.

13 citations

electronic health recordsBayesian inference

𝕏 PostBluesky