Guillaume Jaume

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Weakly Supervised

Graph Representation

Multiple Instance

Survival Prediction

Top Venues

Medical Image Anal.

Publications

Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR (2024)
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
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR (2024)
Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
Multimodal Prototyping for cancer survival prediction. CoRR (2024)
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood
Artificial Intelligence for Digital and Computational Pathology. CoRR (2024)
Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR (2024)
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR (2023)
Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR (2023)
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
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. CoRR (2023)
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
Towards a Visual-Language Foundation Model for Computational Pathology. CoRR (2023)
Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI (2023)
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
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR (2023)
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. 89 (2023)
Imaad Zaffar, Guillaume Jaume, Nasir Rajpoot, Faisal Mahmood
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR (2022)
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. ECCV (21) (2022)
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
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database J. Biol. Databases Curation 2022 (2022) (2022)
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. CoRR (2022)
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
Hierarchical graph representations in digital pathology. Medical Image Anal. 75 (2022)
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
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. CoRR (2021)
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. CoRR (2021)
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR (2021)
Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani
Histocartography: a pipeline for histology image analysis. AMIA (2021)
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR (2021)
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) (2021)
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. COMPAY@MICCAI (2021)
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
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. CoRR (2021)
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR (2020)
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, 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
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. CoRR (2020)
Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani
Towards Explainable Graph Representations in Digital Pathology. CoRR (2020)
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
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI (2020)
Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. OST@ICDAR (2019)
Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. CoRR (2019)
Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. CoRR (2019)
Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR (2018)
Waleed Farrukh, Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orçun Göksel, Maria Gabrani
Interpreting Data from Scanned Tables. GREC@ICDAR (2017)