Publications

Shannon Doyle

2025

  1. 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

2023

  1. Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysis
    Insights into Imaging
    M. M. Van Leeuwen, S. Doyle, A. W. Van Den Belt–Dusebout, S. Van Der Mierden, C. E. Loo, R. M. Mann, J. Teuwen, J. Wesseling, 2023, 14;(1)
    doi paper (open access)
    Abstract

2022

  1. Mammary duct detection using self-supervised encoders
    Medical Imaging 2022: Computer-Aided Diagnosis
    S. Doyle, F. Dal Canton, J. Wesseling, C. I. Sánchez, J. Teuwen, 2022
    doi
    Abstract