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Khrystyna Faryna
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Journal Articles
- 2024
- [j2]Khrystyna Faryna, Jeroen van der Laak
, Geert Litjens
:
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology. Comput. Biol. Medicine 170: 108018 (2024) - 2022
- [j1]Vincent M. D'Anniballe
, Fakrul Islam Tushar
, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin
, Joseph Y. Lo:
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. BMC Medical Informatics Decis. Mak. 22(1): 102 (2022)
Conference and Workshop Papers
- 2021
- [c3]Khrystyna Faryna, Jeroen van der Laak, Geert Litjens:
Tailoring automated data augmentation to H&E-stained histopathology. MIDL 2021: 168-178 - 2020
- [c2]Khrystyna Faryna, Fakrul Islam Tushar
, Vincent M. D'Anniballe
, Rui Hou, Geoffrey D. Rubin
, Joseph Y. Lo:
Attention-guided classification of abnormalities in semi-structured computed tomography reports. Medical Imaging: Computer-Aided Diagnosis 2020 - [c1]Anindo Saha
, Fakrul Islam Tushar
, Khrystyna Faryna, Vincent M. D'Anniballe
, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin
, Joseph Y. Lo:
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Medical Imaging: Computer-Aided Diagnosis 2020
Informal and Other Publications
- 2021
- [i3]Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas L. A. van den Heuvel, Anke W. van der Eerden, Rashindra Manniesing, Bram van Ginneken:
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation. CoRR abs/2101.06468 (2021) - [i2]Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. CoRR abs/2102.02959 (2021) - 2020
- [i1]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR abs/2011.00149 (2020)
Coauthor Index
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