Joshua J. Levy
Orcid: 0000-0001-8050-1291
According to our database1,
Joshua J. Levy
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
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., 2024
2023
GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks.
Appl. Netw. Sci., December, 2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
BioData Min., January, 2023
2022
Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
2021
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.
CoRR, 2020
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform., 2020
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform., 2019