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ORCIDZarif L. Azher
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2020 – today
- 2025
[c2]Michael Y. Fatemi, Yunrui Lu, Zarif L. Azher, Cyril Sharma, Eric Feng, Alos B. Diallo, Gokul Srinivasan, Grace M. Rosner, Kelli B. Pointer, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott M. Palisoul, Laurent Perreard, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy:
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity. BIOSTEC (1) 2025: 444-458- 2024
- [j2]Michael Y. Fatemi, Yunrui Lu, Alos B. Diallo
, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas, Gregory J. Tsongalis, Scott Palisoul, Laurent Perreard, Fred Kolling, Louis J. Vaickus, Joshua J. Levy:
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology. Briefings Bioinform. 25(6) (2024) - [i1]Zachary R. Baker, Zarif L. Azher:
Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship. CoRR abs/2406.18702 (2024) - 2023
- [j1]Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy:
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. BioData Min. 16(1) (2023) - 2022
- [c1]Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy:
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction. SAC 2022: 636-644
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