Author

S. Mihelic

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

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1

Frequent Co-Authors

A. Dunn· 1 shared A. Hassan· 1 shared A. K. Dunn· 1 shared A. Tomar· 1 shared A. Zhou· 1 shared M. Williamson· 1 shared S. Engelmann· 1 shared T. Jones· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioengineering

A. Dunn

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2 papers

Recent·Most cited

A deep learning approach for improving two-photon vascular imaging speeds

A. Zhou, S. Mihelic, S. Engelmann, A. Tomar, A. K. Dunn, V. M. Narasimhan

This paper introduces a deep learning method to accelerate two-photon vascular imaging by upscaling low-resolution images and enabling 3D reconstruction, reducing imaging time by up to fourfold.

bioRxiv · Nov 30, 2022Bioengineering

Segmentation-less, automated vascular vectorization robustly extracts neurovascular network statistics from in vivo two-photon images

S. Mihelic, W. Sikora, A. Hassan, M. Williamson, T. Jones, A. Dunn

This paper introduces a segmentation-less method for automated vascular vectorization from in vivo two-photon images, showing improved robustness to image quality compared to intensity-thresholded methods.

bioRxiv · Jun 15, 2020 · PreprintBioengineering