| Improving augmented human intelligence to distinguish Burkitt lymphoma from diffuse large B-cell lymphoma cases JS Mohlman, SD Leventhal, T Hansen, J Kohan, V Pascucci, ME Salama American journal of clinical pathology 153 (6), 743-759, 2020 | 29 | 2020 |
| High-throughput feature extraction for measuring attributes of deforming open-cell foams S Petruzza, A Gyulassy, S Leventhal, JJ Baglino, M Czabaj, AD Spear, ... IEEE transactions on visualization and computer graphics 26 (1), 140-150, 2019 | 11 | 2019 |
| Exploring classification of topological priors with machine learning for feature extraction S Leventhal, A Gyulassy, M Heimann, V Pascucci IEEE Transactions on Visualization and Computer Graphics, 2023 | 4 | 2023 |
| Pave: An in situ framework for scientific visualization and machine learning coupling S Leventhal, M Kim, D Pugmire 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for …, 2019 | 3 | 2019 |
| Improving Augmented Human Intelligence to Distinguish Burkitt Lymphoma From Diffuse Large B-Cell Lymphoma Cases J Mohlman, S Leventhal, V Pascucci, M Salama American Journal of Clinical Pathology 152, S122, 2019 | 2 | 2019 |
| Application of a Convolutional Neural Network to Distinguish Burkitt Lymphoma From Diffuse Large B-Cell Lymphoma J Mohlman, S Leventhal, A Venkat, A Gyulassy, V Pascucci, M Salama American Journal of Clinical Pathology 150 (suppl_1), S119-S119, 2018 | 2 | 2018 |
| Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks S Leventhal, A Gyulassy, V Pascucci, M Heimann 2023 IEEE International Conference on Image Processing (ICIP), 2995-2999, 2023 | | 2023 |
