Peer-Reviewed Journal Papers

1. Leventhal, Samuel, Attila Gyulassy, Mark Heimann, and Valerio Pascucci. “Exploring Classification of Topological Priors with Machine Learning for Feature Extraction.” IEEE Transactions on Visualization and Computer Graphics (2023).

2. Mohlman, Jeffrey S., Samuel D. Leventhal, Taft Hansen, Jessica Kohan, Valerio Pascucci, and Mohamed E. Salama. “Improving augmented human intelligence to distinguish Burkitt lymphoma from diffuse large B-cell lymphoma cases.” American Journal of Clinical Pathology 153, no. 6 (2020): 743-759.

3. Petruzza, Steve, Attila Gyulassy, Samuel Leventhal, John J. Baglino, Michael Czabaj, Ashley D. Spear, and Valerio Pascucci. “High-throughput feature extraction for measuring attributes of deforming open-cell foams.” IEEE Transactions on Visualization and Computer Graphics 26, no. 1 (2019): 140-150.

4. Mohlman, Jeffrey, Samuel Leventhal, Aniketh Venkat, Attila Gyulassy, Valerio Pascucci, and Mohamed Salama. “Application of a Convolutional Neural Network to Distinguish Burkitt Lymphoma from Diffuse Large B-Cell Lymphoma.” American Journal of Clinical Pathology 150, no. suppl 1 (2018): S119.

5. (under review) Leventhal, Samuel, Valerio Pascucci, and Mark Heimann. "Improving Graph Neural Networks with Heterophily-based Filtration and Filtration Learning." (2024).

Peer-Reviewed Conference Papers

1. Leventhal, Samuel, Attila Gyulassy, Valerio Pascucci, and Mark Heimann. “Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks.” International Conference on Image Processing (2023).

Peer-Reviewed Workshop Papers

1. Leventhal, Samuel, Attila Gyulassy, Valerio Pascucci, and Mark Heimann. “Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks.” In NeurIPS 2022 Workshop: New Frontiers in Graph Learning (2022).

2. Leventhal, Samuel, Mark Kim, and David Pugmire. “PAVE: An In Situ Framework for Scientific Visualization and Machine Learning Coupling.” In 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), pp. 8-15. IEEE, 2019.

Other Peer-Reviewed Papers

1. Leventhal, Samuel, and Stephan LeBohec. “A Search for Quantum Like Structuring in Keplerian Systems.” University of Utah Undergraduate Research Abstracts Journal, Vol. 13, Book 1 (2013).

2. Leventhal, Samuel. “Entropy Is Not Our Anomie.” The Sponge, Volume 2, Issue 1, p5-p11 (2011).