Author

Michael Chorny

Children's Hospital of PhiladelphiaORCID 0000-0002-8243-9089Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:development & morphogenesis· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:rat· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ivan S. AlferieviD· 2 shared Akiko SuzukiiD· 1 shared Aviel Resnick· 1 shared Bahman Hooshdaran· 1 shared Benjamin B. Pressly· 1 shared David T. Guerrero· 1 shared Hongying Tian· 1 shared Ilia FishbeiniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPharmacology & Toxicology

Ivan S. AlferievORCID

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2 papers

Recent·Most cited

Retinoid-impregnated nanoparticles enable control of bone growth by site-specific modulation of endochondral ossification in mice

Masatake Matsuoka, Kenta Uchibe, Ningfeng Tang, Hongying Tian, Akiko Suzuki, Takeshi Oichi, Yu Usami, Ivan S. Alferiev, Satoru Otsuru, Joshua M. Abzug, John E. Herzenberg, Maurizio Pacifici, Motomi Enomoto‐Iwamoto, Michael Chorny, Masahiro Iwamoto

This paper demonstrates that retinoid-impregnated nanoparticles can modulate bone growth by selectively targeting growth plates in mice, leading to localized changes in tibia length and angulation.

Journal of Bone and Mineral Research · Jan 25, 2025Peer-reviewedPharmacology & Toxicology

Novel software for automated morphometric analysis of stented arteries

Aviel Resnick, Bahman Hooshdaran, Benjamin B. Pressly, David T. Guerrero, Ivan S. Alferiev, Michael Chorny, Robert J. Levy, Ilia Fishbein

The paper introduces floodSeg, a software tool for automated morphometric analysis of stented arteries, showing it reduces analysis time by 80% while maintaining accuracy within 3% of manual measurements.

bioRxiv · Jan 30, 2020 · PreprintBioinformatics