Publications

Journals:

• P. Pati, G. Jaume, A. Foncubierta-Rodriguez et al., “Hierarchical Graph Representations in Digital Pathology,” Medical Image Analysis, 2021 [arXiv] [Code]

Conferences & Workshops:

• G. Jaume, P. Pati, B. Bozorgtabar et al., “Quantifying Explainers of Graph Neural Networks in Computational Pathology,” IEEE CVPR, 2021 [arXiv] [Code]

• V. Anklin, P. Pati, G. Jaume* et al., “Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs,” MICCAI, 2021 [arXiv] [Code]

• G. Jaume, P. Pati, A. Foncubierta-Rodriguez et al., “HistoCartography: A Toolkit for Graph Analytics in Digital Pathology,” MICCAI Compay Workshop, 2021 [arXiv] [Code] [Best Software Paper Award]

• P. Pati, G. Jaume, A. Foncubierta-Rodriguez et al., “HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification,” MICCAI, Graphs in Biomedical Image Analysis Workshop, 2020 [arXiv] [Best paper award]

• G. Jaume, P. Pati, A. Foncubierta-Rodriguez et al., “Towards Explainable Graph Representations in Digital Pathology,” ICML, Computational Biology Workshop, 2020 [arXiv] [Best paper award]

• G. Jaume, H. Ekenel, J-P. Thiran, “FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents,” IEEE ICDAR, 2019 [arXiv] [Website]

• G. Jaume, A. Nguyen, M. Martinez et al., “edGNN: A simple and powerful GNN for labeled graphs,” ICLR, Representation Learning on Graphs and Manifolds Workshop, 2019 [arXiv] [Code]

• G. Jaume, B. Bozorgtabar, H. Ekenel et al., “Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks,” NeurIPS, Relational Representation Learning Workshop, 2018 [arXiv]

Book chapters:

• P. Pati, G. Jaume, A. Foncubierta-Rodriguez, et al., “Graph Representation Learning & Explainability in Breast Cancer Pathology: Bridging the gap between AI and Pathology Practice,” Artificial Intelligence as applied in Human Pathology, Editor: R. Huss, World Scientific, 2021

Preprints:

• G. Jaume, P. Pati, et al., “Weakly Supervised Learning for Joint Whole-Slide Segmentation and Classification in Prostate Cancer,” 2021

• N. Brancati,..., G. Jaume, et al., “BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images,” 2021