Author

Phillip Scott DiGiacomo

Stanford MedicineORCID 0000-0002-2441-4086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Marios GeorgiadisiD· 3 shared Michael ZeinehiD· 3 shared David B. CamarilloiD· 2 shared Hossein Moein TaghaviiD· 2 shared Wei ShaoiD· 2 shared Yixin WangiD· 2 shared Binxu LiiD· 1 shared Brian D. MillsiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersNeuroscience

Marios GeorgiadisORCID

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3 papers

Recent·Most cited

Denoising 7T Structural MRI with Conditional Generative Diffusion Models

Yixin Wang, Binxu Li, Yihao Liang, Mackenzie L. Carlson, Phillip Scott DiGiacomo, Hossein Moein Taghavi, Julian Maclaren, Meghan Bell, Nancy Pham, Johannes Hugo Decker, Michael lv, Tie Liang, Jason Wong, Elizabeth C. Mormino, Victor W. Henderson, , Michael Zeineh

This paper introduces a conditional diffusion model to denoise 7T MRI scans, improving image quality and outperforming existing methods.

bioRxiv · Jul 3, 2025 · PreprintNeuroscience

Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging

Yixin Wang, William Hai Dang Ho, István N. Huszár, Phillip Scott DiGiacomo, Hossein Moein Taghavi, Lee Tao, Matthew Choi, Nhu To Nguyen, Samantha Leventis, David B. Camarillo, Philipp Schlömer, Markus Axer, Wei Shao, Mirabela Rusu, Inma Cobos, , Michael Zeineh

This paper develops a pipeline for precise MRI-histology coregistration using blockface imaging, achieving high alignment accuracy for neurodegenerative disease research.

Imaging Neuroscience · Jan 1, 2025Peer-reviewedBioengineering

Microstructural alterations in tract development in college football: a longitudinal diffusion MRI study

Maged Goubran, Brian D. Mills, Marios Georgiadis, Mahta Karimpoor, Nicole Mouchawar, Sohrab Sami, Emily L. Dennis, Carolyn S. Akers, Lex A. Mitchell, Brian M. Boldt, David Douglas, Phillip Scott DiGiacomo, Jarrett Rosenberg, Gerald Arthur Grant, Max Wintermark, , Michael Zeineh

This study uses longitudinal diffusion MRI to examine microstructural changes in brain tracts of college football and volleyball players, finding divergent developmental patterns between the groups.

bioRxiv · Apr 1, 2022 · PreprintNeuroscience