Jacob S. Leiby

According to our database, Jacob S. Leiby authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Linking spatial biology and clinical histology via Haiku.

Yan Cui, Jacob S. Leiby, Wenhui Lei, Dokyoon Kim, Yanxiang Deng, Aaron T. Mayer, Zhenqin Wu, Alexandro E. Trevino, Zhi Huang

CoRR, May, 2026

iSight: Towards expert-AI co-assessment for improved immunohistochemistry staining interpretation.

Jacob S. Leiby, Jialu Yao, Pan Lu, George Hu, Anna Davidian, Shunsuke Koga, Olivia Leung, Pravin Patel, Isabella Tondi Resta, Rebecca Rojansky, Derek Sung, Eric Yang, Paul J. Zhang, Emma Lundberg, Dokyoon Kim, Serena Yeung-Levy, James Zou, Thomas Montine, Jeffrey J. Nirschl, Zhi Huang

CoRR, February, 2026

2025

Clinically aligned multi-modal image-text model for pan-cancer prognosis prediction.

Jonghyun Lee, Jacob S. Leiby, Lina Takemaru, Yidi Huang, Myung-Giun Noh, Jaesik Kim, Byonghan Lee, Mattew E. Lee, Derek A. Oldridge, Young-Gyu Eun, Hyun Jee Lee, Young Chan Lee, Dokyoon Kim

BioData Min., 2025

2023

Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans.

Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images.

Jacob S. Leiby, Jie Hao, Gyeong Hoon Kang, Ji Won Park, Dokyoon Kim

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022