Geoffrey D. Rubin

According to our database, Geoffrey D. Rubin authored at least 26 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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

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

2020

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.

Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

CoRR, 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

2019

Classification of chest CT using case-level weak supervision.

Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2.5D CNN model for detecting lung disease using weak supervision.

Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2013

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

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

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

2009

Thin client architecture in support of remote radiology learning.

Florian F. Schmitzberger, Justus E. Roos, Sandy Napel, Geoffrey D. Rubin, David S. Paik

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Automated coronary CT angiography plaque-lumen segmentation.

Harvey E. Cline, Karthik Krishnan, Sandy Napel, Geoffrey D. Rubin, Wesley D. Turner, Ricardo S. Avila

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

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

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

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

Flattening the Abdominal Aortic Tree for Effective Visualization.

Joong-Ho Won, Geoffrey D. Rubin, Sandy Napel

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2004

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

2000

Medical Image Segmentation Using Analysis of Isolabel-Contour Maps.

Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel

IEEE Trans. Medical Imaging, 2000

1999

Longitudinal Sampling and Aliasing in Spiral CT.

Shin Yi Yen, Chye Hwang Yan, Geoffrey D. Rubin, Sandy Napel

IEEE Trans. Medical Imaging, 1999

1996

Fast Sliding Thin Slab Volume Visualization.

Shin Yi Yen, Sandy Napel, Geoffrey D. Rubin

Proceedings of the Proceeding of the 1996 Symposium on Volume Visualization, 1996

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

Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996