Author

Christina Sun

Yale University

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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Bioengineering· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Jiasong Chen· 2 shared Linchen QianiD· 2 shared Wei Sun· 2 shared Asanish KalyanasundaramiD· 1 shared Baosheng Chen· 1 shared Catilin Martin· 1 shared Claudia Esposito-ZaperoiD· 1 shared Clement Korsah· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

Jiasong Chen

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Preclinical Evaluation of Itareparib, a brain penetrant PARP1-selective radioligand, in Glioma Rat Model and Nonhuman Primate

Peng Wen Tan, Nira Hernandez Martin, Claudia Esposito-Zapero, Christina Sun, Takuya Toyonaga, Ming‐Qiang Zheng, Michael Kapinos, Monique Thomas, Syed Faraz Nejati, Clement Korsah, Daniel Holden, Baosheng Chen, Jorge Sepulcre, Richard E. Carson, Yiyun Huang, , Zhengxin Cai

This study evaluates [18F]Itareparib as a PARP1-selective radioligand for PET imaging of gliomas, showing brain penetration and specific tumor uptake in rat models and nonhuman primates.

bioRxiv · Oct 19, 2026 · PreprintCancer Biology

A robust and scalable image analysis framework for phenotyping human thoracic aorta

Jiasong Chen, Linchen Qian, Ruonan Gong, Christina Sun, Thuy Pham, Catilin Martin, Mohammad Zafar, John Elefteriades, Wei Sun, Liang Liang

This paper introduces a framework for automated thoracic aorta phenotyping from CT scans, generating anatomical landmarks, meshes, and biomechanical phenotypes.

bioRxiv · Oct 13, 2026 · PreprintBioengineering

A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy

Jiasong Chen, Linchen Qian, Pengce Wang, Christina Sun, Tongran Qin, Asanish Kalyanasundaram, Mohammad A. Zafar, John Alex Elefteriades, Wei Sun, Liang Liang

This study compares 2D and 3D U-Net for segmenting human aorta from CT images, finding 3D U-Net performs better but has geometry reconstruction errors.

bioRxiv · Oct 2, 2024 · PreprintBioengineering