Publications

Eric Marcus

2025

  1. Current Pathology Foundation Models are unrobust to Medical Center Differences
    E. D. D. Jong, E. Marcus, J. Teuwen, 2025
    ArXiv
    Abstract
  2. A functionally validated TCR-pMHC database for TCR specificity model development
    M. Messemaker, B. P. Kwee, Ž. Moravec, D. Álvarez-Salmoral, J. Urbanus, S. De Paauw, J. Geerligs, R. Voogd, B. Morris, A. Guislain, M. Mußmann, Y. Winkler, M. Steinmetz, M. Iras, E. Marcus, J. Teuwen, A. Perrakis, R. L. Beijersbergen, W. Scheper, T. N. Schumacher, 2025
    doi
    Abstract
  3. Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features
    eBioMedicine
    S. Doyle, E. H. Lips, E. Marcus, L. Mulder, Y. Liu, F. D. Canton, T. Kootstra, M. M. Van Seijen, I. Bouybayoune, E. J. Sawyer, A. M. Thompson, S. E. Pinder, C. I. Sánchez, J. Teuwen, J. Wesseling, J. Wesseling, J. Jonkers, J. Van Rheenen, E. H. Lips, M. Schmidt, L. F. Wessels, P. Bhattacharjee, A. Thompson, S. Nik-Zainal, H. Davies, E. J. Sawyer, A. Futreal, N. Navin, E. S. Hwang, F. Behbod, D. Rea, H. Stobart, D. Collyar, D. Pinto, E. Verschuur, M. Van Oirsouw, 2025, 116
    doi paper (open access)
    Abstract

2024

  1. Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
    Lecture Notes in Computer Science
    X. Wang, T. Tan, Y. Gao, E. Marcus, L. Han, A. Portaluri, T. Zhang, C. Lu, X. Liang, R. Beets-Tan, J. Teuwen, R. Mann, 2024
    doi
    Abstract