Author

Mirabela Rusu

Stanford MedicineORCID 0000-0002-0372-0367Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Wei ShaoiD· 2 shared Andrew Edward SloaniD· 1 shared Anup SoodiD· 1 shared Chuchu WangiD· 1 shared David B. CamarilloiD· 1 shared Elizabeth McDonoughiD· 1 shared Fiona GintyiD· 1 shared Hossein Moein TaghaviiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioengineering

Wei ShaoORCID

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3 papers

Recent·Most cited

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

Deep Learning-based Pseudo-Mass Spectrometry Imaging Analysis for Precision Medicine

Xiaotao Shen, Wei Shao, Chuchu Wang, Liang Liang, Songjie Chen, Sai Zhang, Mirabela Rusu, Michael P. Snyder

The paper introduces deepPseudoMSI, a deep learning framework that converts LC-MS data into pseudo-MS images for improved disease diagnosis in precision medicine.

Briefings in Bioinformatics · Aug 10, 2022Peer-reviewedBioinformatics

Tumor cell phenotype and heterogeneity differences in IDH1 mutant vs wild-type gliomas

Michael E. Berens, Anup Sood, Jill S. Barnholtz‐Sloan, John F. Graf, Sanghee Cho, Seungchan Kim, Jeffrey Kiefer, Sara Ann Byron, Rebecca F. Halperin, Sara Nasser, Jonathan R. Adkins, Lori Cuyugan, Karen Devine, Quinn T. Ostrom, Marta Couce, , Fiona Ginty

This study compares tumor cell phenotype and heterogeneity differences between IDH1 mutant and wild-type gliomas using integrated multi-omics data.

PLoS ONE · Dec 27, 2019Peer-reviewedGenomics