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

2024

  1. Artificial Intelligence-Enhanced Breast MRI
    Investigative Radiology
    R. Lo Gullo, E. Marcus, J. Huayanay, S. Eskreis-Winkler, S. Thakur, J. Teuwen, K. Pinker, 2024
    doi paper (open access)
    Abstract
  2. Artificial intelligence and explanation: How, why, and when to explain black boxes
    European Journal of Radiology
    E. Marcus, J. Teuwen, 2024
    doi paper (open access)
    Abstract
  3. Nodule detection and generation on chest X-rays: NODE21 Challenge
    IEEE Transactions on Medical Imaging
    E. Sogancioglu, B. Van Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. T. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. I. Sánchez, K. Murphy, 2024
    doi preprints
    Abstract
  4. AI Applications to Breast MRI: Today and Tomorrow.
    Journal of magnetic resonance imaging: JMRI
    R. Lo Gullo, J. Brunekreef, E. Marcus, L. K. Han, S. Eskreis-Winkler, S. B. Thakur, R. Mann, K. Groot Lipman, J. Teuwen, K. Pinker, 2024
    PubMed
    Abstract
  5. Task-driven wavelets using constrained empirical risk minimization
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2024
    url preprints
    Abstract
  6. Kandinsky conformal prediction: Efficient calibration of image segmentation algorithms
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    J. Brunekreef, E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2024
    url preprints
    Abstract
  7. Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
    IEEE transactions on medical imaging
    E. Sogancioglu, B. v. Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. T. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. I. Sanchez, K. Murphy, 2024, 43;(8):2839-2853
    PubMed
    Abstract
  8. 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

2023

  1. STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data
    B. P. Y. Kwee, M. Messemaker, E. Marcus, G. Oliveira, W. Scheper, C. J. Wu, J. Teuwen, T. N. Schumacher, 2023
    doi
    Abstract

2021

  1. Charge-dependent flow induced by electromagnetic fields in heavy ion collisions
    Nuclear Physics A
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2021, 1005
    doi
    Abstract
  2. The near-horizon geometry of supersymmetric rotating AdS4 black holes in M-theory
    Journal of High Energy Physics
    C. Couzens, E. Marcus, K. Stemerdink, D. Van De Heisteeg, 2021, 2021;(5)
    doi paper (open access)
    Abstract

2020

  1. Black holes in string theory with duality twists
    Journal of High Energy Physics
    C. Hull, E. Marcus, K. Stemerdink, S. Vandoren, 2020, 2020;(7)
    doi paper (open access)
    Abstract

2019

  1. A new class of SYK-like models with maximal chaos
    Journal of High Energy Physics
    E. Marcus, S. Vandoren, 2019, 2019;(1)
    doi paper (open access)
    Abstract

2018

  1. Charge-dependent flow induced by magnetic and electric fields in heavy ion collisions
    Physical Review C
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2018, 98;(5)
    doi paper (open access)
    Abstract

2016

  1. Magnetohydrodynamics and charged flow in heavy ion collisions
    Nuclear Physics A
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, 2016, 956
    doi
    Abstract