Khrystyna Faryna

According to our database, Khrystyna Faryna authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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