vix.ing · top · new · best · stats · spec

Jaume, Guillaume

  1. FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
    2019/05/27 by Jaume, Guillaume, Ekenel, Hazim Kemal, Thiran, Jean-Philippe · 30 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
    2021/11/08 by Brancati, Nadia, Anniciello, Anna Maria, Pati, Pushpak +10 · 16 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  3. Multimodal Whole Slide Foundation Model for Pathology
    2024/11/29 by Tong Ding, Ding, Tong, Sophia J. Wagner +43 · 38 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
  4. Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
    2023/04/13 by Jaume, Guillaume, Vaidya, Anurag, Chen, Richard +3 · 19 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Quantitative Methods (q-bio.QM) #Tissues and Organs (q-bio.TO)
  5. HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
    2024/06/23 by Guillaume Jaume, Paul Doucet, Jaume, Guillaume +19 · 26 citations
    Biochemistry, Genetics and Molecular Biology · #Cancer-related molecular mechanisms research #Molecular Biology Techniques and Applications #Gene expression and cancer classification
  6. Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
    2024/05/19 by Song, Andrew H., Chen, Richard J., Ding, Tong +3 · 17 citations
    #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Accelerating Data Processing and Benchmarking of AI Models for Pathology
    2025/02/10 by J. Andrew Zhang, Zhang, Andrew, Guillaume Jaume +7 · 23 citations
    Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
  8. HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
    2020/07/01 by Pati, Pushpak, Jaume, Guillaume, Fernandes, Lauren Alisha +13 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. Multimodal Prototyping for cancer survival prediction
    2024/06/28 by Song, Andrew H., Chen, Richard J., Jaume, Guillaume +3 · 12 citations
    #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. Molecular-driven Foundation Model for Oncologic Pathology
    2025/01/28 by Anurag Vaidya, Andrew Zhang, Vaidya, Anurag +33 · 18 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Genetics, Bioinformatics, and Biomedical Research #Computational Drug Discovery Methods
  11. Hierarchical Graph Representations in Digital Pathology
    2021/02/22 by Pati, Pushpak, Jaume, Guillaume, Foncubierta, Antonio +14 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  12. Transcriptomics-guided Slide Representation Learning in Computational Pathology
    2024/05/19 by Jaume, Guillaume, Oldenburg, Lukas, Vaidya, Anurag +5 · 8 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. Towards a Visual-Language Foundation Model for Computational Pathology
    2023/07/24 by Ming Y. Lu, Lu, Ming Y., Bowen Chen +23 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
  14. Multistain Pretraining for Slide Representation Learning in Pathology
    2024/08/05 by Jaume, Guillaume, Vaidya, Anurag, Zhang, Andrew +7 · 7 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  15. A General-Purpose Self-Supervised Model for Computational Pathology
    2023/08/29 by Chen, Richard J., Ding, Tong, Lu, Ming Y. +17 · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Tissues and Organs (q-bio.TO)
  16. Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
    2023/01/07 by Pushpak Pati, Guillaume Jaume, Pati, Pushpak +11 · 3 citations
    Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #electronic engineering #information engineering
  17. Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
    2022/10/31 by Imaad Zaffar, Guillaume Jaume, Zaffar, Imaad +5 · 3 citations
    Computer Science · #AI in cancer detection #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #I.4.0 #I.5.4
  18. Learning Whole-Slide Segmentation from Inexact and Incomplete Labels\n using Tissue Graphs
    2021/03/04 by Valentin Anklin, Pushpak Pati, Anklin, Valentin +15 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Imaging for Blood Diseases
  19. Quantifying Explainers of Graph Neural Networks in Computational Pathology
    2020/11/25 by Jaume, Guillaume, Pati, Pushpak, Bozorgtabar, Behzad +7 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  20. Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
    2022/04/26 by Kevin Thandiackal, Boqi Chen, Thandiackal, Kevin +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Cancer Genomics and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
  21. Evidence-based diagnostic reasoning with multi-agent copilot for human pathology
    2025/06/26 by Chen, Chengkuan, Drew F. K. Williamson, Weishaupt, Luca L. +15 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling
  22. A Foundation Model for Spatial Proteomics
    2025/06/03 by Shaban, Muhammad, Chang, Yuzhou, Qiu, Huaying +57 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences