Guillaume Jaume

According to our database, Guillaume Jaume authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Multimodal Whole Slide Foundation Model for Pathology.

Tong Ding, Sophia J. Wagner, Andrew H. Song, Richard J. Chen, Ming Y. Lu, Andrew Zhang, Anurag J. Vaidya, Guillaume Jaume, Muhammad Shaban, Ahrong Kim, Drew F. K. Williamson, Bowen Chen, Cristina Almagro-Pérez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood

CoRR, 2024

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis.

Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood

CoRR, 2024

Artificial Intelligence for Digital and Computational Pathology.

Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood

CoRR, 2024

Multimodal Prototyping for cancer survival prediction.

Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Weakly supervised joint whole-slide segmentation and classification in prostate cancer.

Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel

Medical Image Anal., October, 2023

A General-Purpose Self-Supervised Model for Computational Pathology.

Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood

CoRR, 2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples.

Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood

CoRR, 2023

Towards a Visual-Language Foundation Model for Computational Pathology.

Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Andrew Zhang, Long Phi Le, Georg Gerber, Anil V. Parwani, Faisal Mahmood

CoRR, 2023

Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images.

Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Hierarchical graph representations in digital pathology.

Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani

Medical Image Anal., 2022

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.

Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci

Database J. Biol. Databases Curation, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.

Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani

CoRR, 2021

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.

Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.

Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Histocartography: a pipeline for histology image analysis.

Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Towards Explainable Graph Representations in Digital Pathology.

Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani

CoRR, 2020

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.

Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019

edGNN: a Simple and Powerful GNN for Directed Labeled Graphs.

Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani

CoRR, 2019

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents.

Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran

Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

2018

Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks.

Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani

CoRR, 2018

2017

Interpreting Data from Scanned Tables.

Waleed Farrukh, Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orçun Göksel, Maria Gabrani

Proceedings of the 12th International Workshop on Graphics Recognitio, 2017