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Guillaume Jaume
Guillaume Jaume
Harvard Medical School, Brigham and Women's Hospital
Verified email at bwh.harvard.edu
Title
Cited by
Cited by
Year
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
G Jaume, HK Ekenel, JP Thiran
International Conference on Document Analysis and Recognition Workshops …, 2019
2882019
Hierarchical Graph Representations in Digital Pathology
P Pati*, G Jaume*, A Foncubierta, F Feroce, AM Anniciello, ...
Medical Image Analysis, 2021
852021
Quantifying explainers of graph neural networks in computational pathology
G Jaume*, P Pati*, B Bozorgtabar, A Foncubierta, AM Anniciello, F Feroce, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
782021
Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification
P Pati*, G Jaume*, LA Fernandes, A Foncubierta-Rodríguez, F Feroce, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
662020
Bracs: A dataset for breast carcinoma subtyping in h&e histology images
N Brancati, AM Anniciello, P Pati, D Riccio, G Scognamiglio, G Jaume, ...
Database 2022, baac093, 2022
542022
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
G Jaume*, P Pati*, V Anklin, A Foncubierta, M Gabrani
MICCAI workshop on on Computational Pathology (COMPAY), 2021
432021
Towards explainable graph representations in digital pathology
G Jaume*, P Pati*, A Foncubierta-Rodriguez, F Feroce, G Scognamiglio, ...
ICML workshop on Computational Biology, 2020
402020
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
V Anklin*, P Pati*, G Jaume*, B Bozorgtabar, A Foncubierta-Rodríguez, ...
MICCAI, 2021
382021
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
K Thandiackal, B Chen, P Pati, G Jaume, DFK Williamson, M Gabrani, ...
ECCV, 2022
272022
Towards a visual-language foundation model for computational pathology
MY Lu, B Chen, DFK Williamson, RJ Chen, I Liang, T Ding, G Jaume, ...
arXiv preprint arXiv:2307.12914, 2023
192023
Artificial intelligence for digital and computational pathology
AH Song*, G Jaume*, DFK Williamson, MY Lu, A Vaidya, TR Miller, ...
Nature Reviews Bioengineering, 1-20, 2023
182023
Extracting structured information from a document containing filled form images
AF Rodriguez, G Jaume, M Gabrani
US Patent 10,755,039, 2020
162020
A general-purpose self-supervised model for computational pathology
RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, B Chen, A Zhang, ...
arXiv preprint arXiv:2308.15474, 2023
152023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
G Jaume, A Vaidya, R Chen, D Williamson, P Liang, F Mahmood
CVPR, 2023
112023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
P Pati*, G Jaume*, Z Ayadi, K Thandiackal, B Bozorgtabar, M Gabrani, ...
Medical Image Analysis, 2023
92023
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
G Jaume*, A Nguyen*, MR Martínez, JP Thiran, M Gabrani
ICLR workshop on Relational Representation Learning, 2019
82019
Interpreting data from scanned tables
W Farrukh, A Foncubierta-Rodriguez, AN Ciubotaru, G Jaume, C Bejas, ...
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
82017
Integrating context for superior cancer prognosis
G Jaume, AH Song, F Mahmood
Nature Biomedical Engineering 6 (12), 1323-1325, 2022
52022
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
I Zaffar*, G Jaume*, N Rajpoot, F Mahmood
ISBI, 2022
42022
Hierarchical Cell-to-Tissue graph representations for breast cancer subtyping in digital pathology
P Pati, G Jaume, A Foncubierta, F Feroce, AM Anniciello, G Scognamiglio, ...
arXiv preprint arXiv:2102.11057, 2021
32021
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