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ORCIDGuillaume Jaume
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2020 – today
- 2024
[c15]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. CVPR 2024: 9632-9644- [c14]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. CVPR 2024: 11566-11578 - [c13]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. CVPR 2024: 11579-11590 - [c12]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. ECCV (33) 2024: 19-37 - [c11]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. ICML 2024 - [c10]Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Yang Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood:
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. NeurIPS 2024 - [i24]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 abs/2401.06148 (2024) - [i23]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 abs/2405.11618 (2024) - [i22]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 abs/2405.11643 (2024) - [i21]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 abs/2406.16192 (2024) - [i20]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. CoRR abs/2407.00224 (2024) - [i19]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. CoRR abs/2408.02859 (2024) - [i18]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:
Multimodal Whole Slide Foundation Model for Pathology. CoRR abs/2411.19666 (2024) - 2023
- [j3]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: 102915 (2023) - [c9]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI 2023: 1-4 - [i17]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 abs/2301.02933 (2023) - [i16]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 abs/2304.06819 (2023) - [i15]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 abs/2307.12914 (2023) - [i14]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 abs/2307.14907 (2023) - [i13]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 abs/2308.15474 (2023) - 2022
- [j2]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) - [j1]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: 102264 (2022) - [c8]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: 699-715 - [i12]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 abs/2204.12454 (2022) - [i11]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR abs/2210.17013 (2022) - 2021
- [c7]Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani:
Histocartography: a pipeline for histology image analysis. AMIA 2021 - [c6]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. COMPAY@MICCAI 2021: 117-128 - [c5]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: 8106-8116 - [c4]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: 636-646 - [i10]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 abs/2102.11057 (2021) - [i9]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 abs/2103.03129 (2021) - [i8]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. CoRR abs/2107.10073 (2021) - [i7]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 abs/2111.04740 (2021) - 2020
- [c3]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: 208-219 - [i6]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 abs/2007.00311 (2020) - [i5]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 abs/2007.00584 (2020) - [i4]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 abs/2011.12646 (2020)
2010 – 2019
- 2019
- [c2]Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran:
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. OST@ICDAR 2019: 1-6 - [i3]Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani:
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. CoRR abs/1904.08745 (2019) - [i2]Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran:
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. CoRR abs/1905.13538 (2019) - 2018
- [i1]Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani:
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR abs/1811.03830 (2018) - 2017
- [c1]Waleed Farrukh, Antonio Foncubierta-Rodríguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orçun Göksel, Maria Gabrani:
Interpreting Data from Scanned Tables. GREC@ICDAR 2017: 5-6
Coauthor Index
aka: Antonio Foncubierta
aka: Orçun Göksel
aka: Anurag J. Vaidya
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