Publications of Khrystyna Faryna

Papers in international journals

  1. K. Faryna, L. Tessier, J. Retamero, S. Bonthu, P. Samanta, N. Singhal, S. Kammerer-Jacquet, C. Radulescu, V. Agosti, A. Collin, X. Farre', J. Fontugne, R. Grobholz, A. Hoogland, K. Leite, M. Oktay, A. Polonia, P. Roy, P. Salles, T. van der Kwast, J. van Ipenburg, J. van der Laak and G. Litjens, "Evaluation of AI-based Gleason grading algorithms "in the wild"", Modern Pathology, 2024:100563.
    Abstract DOI PMID
  2. K. Faryna, J. van der Laak and G. Litjens, "Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology", Computers in Biology and Medicine, 2024;170:108018.
    Abstract DOI PMID

Papers in conference proceedings

  1. K. Faryna, J. van der Laak and G. Litjens, "Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology", Medical Imaging 2024: Digital and Computational Pathology, 2024.
    Abstract DOI
  2. K. Faryna, J. van der Laak and G. Litjens, "Tailoring automated data augmentation to H&E-stained histopathology", Medical Imaging with Deep Learning, 2021.
    Abstract Url Cited by ~31
  3. A. Saha, F. Tushar, K. Faryna, V. D'Anniballe, R. Hou, M. Mazurowski, G. Rubin and J. Lo, "Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features", Medical Imaging, 2020;11314:39 - 44.
    Abstract DOI arXiv
  4. K. Faryna, F. Tushar, V. D'Anniballe, R. Hou, G. Rubin and J. Lo, "Attention-guided classification of abnormalities in semi-structured computed tomography reports", Medical Imaging, 2020;11314:397 - 403.
    Abstract DOI
  5. K. Faryna, K. Koschmieder, M. Paul, T. van den Heuvel, A. van der Eerden, R. Manniesing and B. van Ginneken, "Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation", Medical Imaging Meets NeurIPS Workshop - 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.
    Abstract arXiv Cited by ~2

Master theses

  1. K. Faryna, "Brain MRI synthesis via pathology factorization and adversarial cycle-consistent learning for data augmentation", Master thesis, 2020.
    Abstract