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Geoffrey D. Rubin
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2020 – today
- 2024
- [i5]Fakrul Islam Tushar, Vincent M. D'Anniballe
, Geoffrey D. Rubin, Joseph Y. Lo:
What limits performance of weakly supervised deep learning for chest CT classification? CoRR abs/2402.04419 (2024) - 2022
- [j11]Vincent M. D'Anniballe
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) - [c12]Fakrul Islam Tushar
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT. Computer-Aided Diagnosis 2022 - 2021
- [j10]Rachel Lea Draelos
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 67: 101857 (2021) - [i4]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
- [c11]Khrystyna Faryna, Fakrul Islam Tushar
Attention-guided classification of abnormalities in semi-structured computed tomography reports. Computer-Aided Diagnosis 2020 - [c10]Anindo Saha
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Computer-Aided Diagnosis 2020 - [i3]Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin:
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR abs/2002.04752 (2020) - [i2]Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. CoRR abs/2008.01158 (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)
2010 – 2019
- 2019
- [c9]Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran
Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Computer-Aided Diagnosis 2019: 109500V - [c8]Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin
2.5D CNN model for detecting lung disease using weak supervision. Computer-Aided Diagnosis 2019: 109503O - [c7]Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. Computer-Aided Diagnosis 2019: 109504H - [c6]Ruixiang Tang
Classification of chest CT using case-level weak supervision. Computer-Aided Diagnosis 2019: 1095017 - 2013
- [j9]Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19(1): 81-93 (2013) - 2011
- [j8]Bhargav Raman, Raghav Raman, Geoffrey D. Rubin
Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden. J. Digit. Imaging 24(6): 1078-1086 (2011) - [j7]Jiantao Pu, David S. Paik, Xin Meng, Justus E. Roos, Geoffrey D. Rubin
Shape "Break-and-Repair" Strategy and Its Application to Automated Medical Image Segmentation. IEEE Trans. Vis. Comput. Graph. 17(1): 115-124 (2011)
2000 – 2009
- 2009
- [c5]Harvey E. Cline, Karthik Krishnan, Sandy Napel, Geoffrey D. Rubin
Automated coronary CT angiography plaque-lumen segmentation. Computer-Aided Diagnosis 2009: 726003 - [c4]Florian F. Schmitzberger
Thin client architecture in support of remote radiology learning. SAC 2009: 842-846 - 2008
- [j6]Shaohua Sun, Feng Zhuge, Jarrett Rosenberg, Robert M. Steiner, Geoffrey D. Rubin
Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration. Appl. Intell. 28(1): 83-99 (2008) - [j5]Jiantao Pu, Justus E. Roos, Chin A. Yi, Sandy Napel, Geoffrey D. Rubin
Adaptive border marching algorithm: Automatic lung segmentation on chest CT images. Comput. Medical Imaging Graph. 32(6): 452-462 (2008) - 2006
- [j4]Raman Venkatraman, Raghav Raman, Bhargav Raman, Richard B. Moss, Geoffrey D. Rubin
Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest. J. Digit. Imaging 19(2): 132-139 (2006) - [c3]Joong-Ho Won, Geoffrey D. Rubin
Flattening the Abdominal Aortic Tree for Effective Visualization. EMBC 2006: 3345-3348 - 2004
- [j3]David S. Paik, Christopher F. Beaulieu, Geoffrey D. Rubin
Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE Trans. Medical Imaging 23(6): 661-675 (2004) - 2000
- [j2]Smadar Shiffman, Geoffrey D. Rubin
Medical Image Segmentation Using Analysis of Isolabel-Contour Maps. IEEE Trans. Medical Imaging 19(11): 1064-1074 (2000)
1990 – 1999
- 1999
- [j1]Shin Yi Yen, Chye Hwang Yan, Geoffrey D. Rubin
Longitudinal Sampling and Aliasing in Spiral CT. IEEE Trans. Medical Imaging 18(18): 43-58 (1999) - 1996
- [c2]Ramin Shahidi, V. Argiro, Sandy Napel, L. Gray, H. Page McAdams, Geoffrey D. Rubin, Christopher F. Beaulieu, R. Brooke Jeffrey Jr., A. Johnson:
Assessment of Several Virtual Endoscopy Techniques Using Computed Tomography and Perspective Volume Rendering. VBC 1996: 521-528 - [c1]Shin Yi Yen, Sandy Napel, Geoffrey D. Rubin:
Fast Sliding Thin Slab Volume Visualization. VVS 1996: 79-86
Coauthor Index
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