| BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images | 0 | 0.34 | 2022 |
| Hierarchical graph representations in digital pathology | 1 | 0.39 | 2022 |
| Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images. | 0 | 0.34 | 2021 |
| Quantifying Explainers of Graph Neural Networks in Computational Pathology. | 0 | 0.34 | 2021 |
| HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. | 0 | 0.34 | 2021 |
| On The Role Of Artificial Intelligence In Medical Imaging Of Covid-19 (Vol 2, Pg 100269, 2021) | 0 | 0.34 | 2021 |
| HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification | 0 | 0.34 | 2020 |
| High-Quality Immunohistochemical Stains through Computational Assay Parameter Optimization. | 0 | 0.34 | 2019 |
| Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. | 0 | 0.34 | 2019 |
| edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. | 0 | 0.34 | 2019 |
| Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. | 0 | 0.34 | 2018 |
| Extracting Information from Molecular Pathway Diagrams. | 0 | 0.34 | 2017 |
| Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. | 0 | 0.34 | 2017 |
| Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder. | 0 | 0.34 | 2017 |
| Multimodal Classification of Document Embedded Images. | 0 | 0.34 | 2017 |
| Extracting Interactions from Molecular Pathways | 0 | 0.34 | 2017 |
| Interpreting Data from Scanned Tables | 0 | 0.34 | 2017 |
| Computational Processing of Histological Images. | 0 | 0.34 | 2017 |
| A Computational Framework For Disease Grading Using Protein Signatures | 1 | 0.43 | 2016 |
| Big Data Takes on Prostate Cancer. | 0 | 0.34 | 2016 |
| Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues. | 0 | 0.34 | 2016 |
| Surface Reconstruction From Microscopic Images in Optical Lithography | 0 | 0.34 | 2014 |
| Implementing the L ∞ Segment Voronoi Diagram in CGAL and Applying in VLSI Pattern Analysis. | 0 | 0.34 | 2014 |
