Author

Ludwig Sichen Zhao

University of PennsylvaniaORCID 0000-0001-5469-996XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Jay A. GottfriediD· 2 shared John A. DetreiD· 2 shared Matthew Dylan TisdalliD· 2 shared Clara U. RaitheliD· 1 shared Manuel TasoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersBioengineering

Jay A. GottfriedORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintApr 9, 2026

MR KLEAN: a Generalized Acquisition-agnostic LLR k-Space Denoising Method for High-dimensional Imaging

Ludwig Sichen Zhao, Manuel Taso, Jay A. Gottfried…·Matthew Dylan Tisdall

MR KLEAN improves MRI image quality by denoising k-space data without relying on specific acquisition or reconstruction methods.

DOI 10.64898/2026.01.20.699791

imagingdeep learning

𝕏 PostBluesky

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2024

Leveraging Multi-Echo EPI to Enhance BOLD Sensitivity in Task-based Olfactory fMRI

Ludwig Sichen Zhao, Clara U. Raithel, Matthew Dylan Tisdall…·Jay A. Gottfried

This study develops a ME-EPI protocol for olfactory task-based fMRI, showing improved BOLD sensitivity over 1E-EPI through signal combination and artifact reduction.

6 citations

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