Joshua J. Levy

According to our database, Joshua J. Levy authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks.

Carly A. Bobak, Yifan Zhao, Joshua J. Levy, A. James O'Malley

Appl. Netw. Sci., December, 2023

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.

Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy

BioData Min., January, 2023

2022

Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes.

Christian Haudenschild, Louis J. Vaickus, Joshua J. Levy

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.

Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy

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.

Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory Tsongalis, Louis J. Vaickus, Joshua J. Levy

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.

Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.

Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie

CoRR, 2020

MethylNet: an automated and modular deep learning approach for DNA methylation analysis.

Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen

BMC Bioinform., 2020

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.

Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus

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.

Joshua J. Levy, Christopher R. Jackson, Aravindhan Sriharan, Brock C. Christensen, Louis J. Vaickus

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.

Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen

Bioinform., 2019