Guillaume Jaume
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers. | Sharifa Sahai, Ana D. Ramos-Guerra, Cristina Almagro-Prez, Guillaume Jaume, Andrew Zhang, Helmut Rennke, Astrid Weins, Juan E. Ortuo, Mara J. Ledesma-Carbayo, Faisal Mahmood |
| 2024 | CVPR | Transcriptomics-Guided Slide Representation Learning in Computational Pathology. | Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood |
| 2024 | CVPR | Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. | Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood |
| 2024 | CVPR | Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. | Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood |
| 2024 | ECCV | Multistain Pretraining for Slide Representation Learning in Pathology. | Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood |
| 2024 | ICML | Multimodal Prototyping for cancer survival prediction. | Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood |
| 2022 | ECCV | Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. | Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel |
| 2021 | AMIA | Histocartography: a pipeline for histology image analysis. | Antonio Foncubierta-Rodrguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani |
| 2021 | CVPR | Quantifying Explainers of Graph Neural Networks in Computational Pathology. | Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel |
| 2021 | MICCAI | Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. | Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodrguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel |
| 2020 | MICCAI | HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. | Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodrguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani |
| 2019 | ICDAR | FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. | Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran |
| 2017 | ICDAR | Interpreting Data from Scanned Tables. | Waleed Farrukh, Antonio Foncubierta-Rodrguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orun Gksel, Maria Gabrani |