Author

Jun Ma

University Health NetworkORCID 0000-0002-9739-0855Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jun Ma1 paper · University of Helsinki

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Ali DarbandiiD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Ben MulcahyiD· 1 shared Benjamin Haibe‐KainsiD· 1 shared Beth A. CiminiiD· 1 shared Bo WangiD· 1 shared Cornelia E. ThoeniiD· 1 shared Esteban Alberto MigliettaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperCell Biology

Ali DarbandiORCID

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3 papers

Recent·Most cited

A Decade of Deep Learning-based Biomedical Image Segmentation

Suhao Yu, Haojin Wang, Ningsen Wang, Sicheng Chen, Juncheng Wu, Zhenlong Yuan, Tianhao Qi, Zongwei Zhou, Fei Xia, Jun Ma, Yuyin Zhou

This paper reviews the evolution of deep learning in biomedical image segmentation, highlighting the shift to foundation models and introducing a taxonomy for promptable segmentation methods.

bioRxiv · Apr 30, 2026 · PreprintBioengineering

Multiscale volume electron microscopy of the human liver maps vascular-cellular architecture, organelle dynamics and inter-organelle communication

Xing Cheng, Ronald Xie, Ben Mulcahy, Ali Darbandi, Cornelia E. Thoeni, Ishaan Singh Chandok, Y Lee, Jun Ma, Fez Ali, Ian D. McGilvray, Sonya A. MacParland, Mei Zhen, Gary D. Bader

The paper maps the multiscale structure of human liver tissue using electron microscopy and deep learning, revealing vascular, cellular, and organelle organization and dynamics.

bioRxiv · Apr 24, 2026 · PreprintCell Biology

MorphoDiff: Cellular Morphology Painting with Diffusion Models

Zeinab Navidi, Jun Ma, Esteban Alberto Miglietta, Le Liu, Anne Elizabeth Carpenter, Beth A. Cimini, Benjamin Haibe‐Kains, Bo Wang

MorphoDiff predicts high-resolution cell morphology changes under different interventions using diffusion models and perturbation embeddings.

bioRxiv · Dec 19, 2024 · PreprintBioinformatics