Joshua J. Levy

14 papers Misc 4Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity. BIOSTEC (1) 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
2024	J	`jnl`	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. 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, Frederick W. Kolling IV, Louis J. Vaickus, Joshua J. Levy
2024	—	`conf`	Mapping Three-Dimensional Tumor Heterogeneity through Deep Learning Inference of Spatial Transcriptomics from Routine Histopathology: A Proof-of-Concept Comparative Study. ML4H@NeurIPS Zarif L. Azher, Gokul Srinivasan, Keluo Yao, Minh-Khang Le, Ken Lau, Harsimran Kaur, Fred Kolling, Louis J. Vaickus, Xiaoying Lu, Joshua J. Levy
2023	J	`jnl`	Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. BioData Min. Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy
2023	J	`jnl`	GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks. Appl. Netw. Sci. Carly A. Bobak, Yifan Zhao, Joshua J. Levy, A. James O'Malley
2022	Misc	`conf`	Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes. SAC Christian Haudenschild, Louis J. Vaickus, Joshua J. Levy
2022	Misc	`conf`	Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction. SAC Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy
2022	—	`conf`	Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images. GeoMedIA Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory J. Tsongalis, Louis J. Vaickus, Joshua J. Levy
2021	Misc	`conf`	Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks. PSB Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus
2020	J	`jnl`	Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails. CoRR Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie
2020	J	`jnl`	MethylNet: an automated and modular deep learning approach for DNA methylation analysis. BMC Bioinform. Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
2020	Misc	`conf`	PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology. PSB Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus
2020	—	`conf`	Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center. BIOINFORMATICS Joshua J. Levy, Christopher R. Jackson, Aravindhan Sriharan, Brock C. Christensen, Louis J. Vaickus
2019	J	`jnl`	PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data. Bioinform. Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen