Author

Julie Wiese

Boundless Bio (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

Anton George HensseniD· 1 shared Ellis J. CurtisiD· 1 shared Gino PrasadiD· 1 shared Howard Y. ChangiD· 1 shared Ivy Tsz-Lo WongiD· 1 shared Jessica TheißeniD· 1 shared Justin WahliD· 1 shared Kristen M. TurneriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Anton George HenssenORCID

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1 paper

Recent·Most cited

Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks

Utkrisht Rajkumar, Gino Prasad, Ellis J. Curtis, Ivy Tsz-Lo Wong, Xiaowei Yan, Shu Zhang, Lotte Brückner, Kristen M. Turner, Julie Wiese, Justin Wahl, Sihan Wu, Jessica Theißen, Matthias Fischer, Howard Y. Chang, Anton George Henssen, , Vineet Bafna

The paper introduces interSeg, a deep learning tool that accurately predicts oncogene amplification status from interphase FISH images, achieving high accuracy in detecting ecDNA and chromosomal amplifications.

bioRxiv · Jun 23, 2025 · PreprintCancer Biology