Khrystyna Faryna

According to our database, Khrystyna Faryna authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer.

Clément Grisi, Khrystyna Faryna, Nefise Uysal, Vittorio Agosti, Enrico Munari, Solène-Florence Kammerer-Jacquet, Paulo Guilherme de Oliveira Salles, Yuri Tolkach, Reinhard Büttner, Sofiya Semko, Maksym Pikul, Axel Heidenreich, Jeroen van der Laak, Geert Litjens

CoRR, March, 2026

2025

Medical Imaging AI Competitions Lack Fairness.

Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda, A. Emre Kavur, Khrystyna Faryna, Daan Schouten, Bennett A. Landman, Carole H. Sudre, Olivier Colliot, Nicholas Heller, Sophie Loizillon, Martin Maska, Maëlys Solal, Arya Yazdan Panah, Vilma Bozgo, Ömer Sümer, Siem de Jong, Sophie Fischer, Michal Kozubek, Tim Rädsch, Nadim Hammoud, Fruzsina Molnár-Gábor, Steven Hicks, Michael A. Riegler, Anindo Saha, Vajira Thambawita, Pål Halvorsen, Amelia Jiménez-Sánchez, Qingyang Yang, Veronika Cheplygina, Sabrina Bottazzi, Alexander Seitel, Spyridon Bakas, Alexandros Karargyris, Kiran Vaidhya Venkadesh, Bram van Ginneken, Lena Maier-Hein

CoRR, December, 2025

2024

Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology.

Khrystyna Faryna, Jeroen van der Laak, Geert Litjens

Comput. Biol. Medicine, March, 2024

2022

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.

Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

BMC Medical Informatics Decis. Mak., 2022

2021

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning.

Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 2021

Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation.

Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas L. A. van den Heuvel, Anke W. van der Eerden, Rashindra Manniesing, Bram van Ginneken

CoRR, 2021

Tailoring automated data augmentation to H&E-stained histopathology.

Khrystyna Faryna, Jeroen van der Laak, Geert Litjens

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.

Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Attention-guided classification of abnormalities in semi-structured computed tomography reports.

Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020