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)

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. - Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Maciej A. Mazurowski; Wanyi Fu; Ehsan Samei; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2020)

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)

Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT. - Fakrul Islam Tushar; Vincent M. D'Anniballe; Geoffrey D. Rubin; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 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)

What limits performance of weakly supervised deep learning for chest CT classification? - Fakrul Islam Tushar; Vincent M. D'Anniballe; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2024)