Assessment of Several Virtual Endoscopy Techniques Using Computed Tomography and Perspective Volume Rendering. - Ramin Shahidi; V. Argiro; Sandy Napel; L. Gray; H. Page McAdams; Geoffrey D. Rubin; Christopher F. Beaulieu; R. Brooke Jeffrey Jr.; A. Johnson (VBC, 1996)

Fast Sliding Thin Slab Volume Visualization. - Shin Yi Yen; Sandy Napel; Geoffrey D. Rubin (VVS, 1996)

Longitudinal Sampling and Aliasing in Spiral CT. - Shin Yi Yen; Chye Hwang Yan; Geoffrey D. Rubin; Sandy Napel (IEEE Trans. Medical Imaging, 1999)

Medical Image Segmentation Using Analysis of Isolabel-Contour Maps. - Smadar Shiffman; Geoffrey D. Rubin; Sandy Napel (IEEE Trans. Medical Imaging, 2000)

Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. - David S. Paik; Christopher F. Beaulieu; Geoffrey D. Rubin; Burak Acar; R. Brooke Jeffrey Jr.; Judy Yee; Joyoni Dey; Sandy Napel (IEEE Trans. Medical Imaging, 2004)

Flattening the Abdominal Aortic Tree for Effective Visualization. - Joong-Ho Won; Geoffrey D. Rubin; Sandy Napel (EMBC, 2006)

Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest. - Raman Venkatraman; Raghav Raman; Bhargav Raman; Richard B. Moss; Geoffrey D. Rubin; Lawrence H. Mathers; Terry E. Robinson (J. Digit. Imaging, 2006)

Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration. - Shaohua Sun; Feng Zhuge; Jarrett Rosenberg; Robert M. Steiner; Geoffrey D. Rubin; Sandy Napel (Appl. Intell., 2008)

Adaptive border marching algorithm: Automatic lung segmentation on chest CT images. - Jiantao Pu; Justus E. Roos; Chin A. Yi; Sandy Napel; Geoffrey D. Rubin; David S. Paik (Comput. Medical Imaging Graph., 2008)

Automated coronary CT angiography plaque-lumen segmentation. - Harvey E. Cline; Karthik Krishnan; Sandy Napel; Geoffrey D. Rubin; Wesley D. Turner; Ricardo S. Avila (Computer-Aided Diagnosis, 2009)

Thin client architecture in support of remote radiology learning. - Florian F. Schmitzberger; Justus E. Roos; Sandy Napel; Geoffrey D. Rubin; David S. Paik (SAC, 2009)

Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden. - Bhargav Raman; Raghav Raman; Geoffrey D. Rubin; Sandy Napel (J. Digit. Imaging, 2011)

Shape "Break-and-Repair" Strategy and Its Application to Automated Medical Image Segmentation. - Jiantao Pu; David S. Paik; Xin Meng; Justus E. Roos; Geoffrey D. Rubin (IEEE Trans. Vis. Comput. Graph., 2011)

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. - Joong-Ho Won; Yongkweon Jeon; Jarrett Rosenberg; Sungroh Yoon; Geoffrey D. Rubin; Sandy Napel (IEEE Trans. Vis. Comput. Graph., 2013)

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. - Matias Benitez; James Tian; Mark Kelly; Vignesh Selvakumaran; Matthew Phelan; Maciej A. Mazurowski; Joseph Y. Lo; Geoffrey D. Rubin; Ricardo Henao (Computer-Aided Diagnosis, 2019)

2.5D CNN model for detecting lung disease using weak supervision. - Yue Geng; Yinhao Ren; Rui Hou 002; Songyue Han; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. - Songyue Han; James Tian; Mark Kelly; Vignesh Selvakumaran; Ricardo Henao; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Classification of chest CT using case-level weak supervision. - Ruixiang Tang; Fakrul Islam Tushar; Songyue Han; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

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)

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. - Rachel Lea Draelos; David Dov; Maciej A. Mazurowski; Joseph Y. Lo; Ricardo Henao; Geoffrey D. Rubin; Lawrence Carin (Medical Image Anal., 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)

Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. - Michael E. Garcia-Alcoser; Mobina Ghojogh Nejad; Fakrul Islam Tushar; David Kim; Kyle J. Lafata; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2025)