Attention-guided classification of abnormalities in semi-structured computed tomography reports. - Khrystyna Faryna; Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 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 002; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Tailoring automated data augmentation to H&E-stained histopathology. - Khrystyna Faryna; Jeroen van der Laak; Geert Litjens 001 (MIDL, 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)

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)

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)

Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology. - Khrystyna Faryna; Jeroen van der Laak; Geert Litjens 001 (Comput. Biol. Medicine, 2024)