Gregory J. Tsongalis

According to our database, Gregory J. Tsongalis authored at least 3 papers between 2022 and 2025.

Collaborative distances:

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

2025

Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity.

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

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

2024

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.

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

Briefings Bioinform., 2024

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 J. Tsongalis, Louis J. Vaickus, Joshua J. Levy

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022