Geoffrey D. Rubin

发表

Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology

Ehsan Samei, Wanyi Fu, Rui Hou, 2019, Medical Imaging.

MDCT and Data Explosion: Current Technologies and Directions for Future Development in Managing the Information Overload

Geoffrey D. Rubin, G. Rubin, 2005 .

Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden

Geoffrey D. Rubin, Bhargav Raman, Sandy Napel, 2011, Journal of digital imaging.

Semiautomated editing of computed tomography sections for visualization of vasculature

Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel, 1996, Medical Imaging.

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features

Maciej A. Mazurowski, Rui Hou, Joseph Y. Lo, 2020, Medical Imaging.

Report on the ALICE Detector Data Link:method used, protocol and design status

Tamas Kiss, Geoffrey D. Rubin, L Szendrei, 1997 .

Classification of chest CT using case-level weak supervision

Joseph Y. Lo, Geoffrey D. Rubin, Rui Hou, 2019, Medical Imaging.

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports

Joseph Y. Lo, Maciej A. Mazurowski, Geoffrey D. Rubin, 2019, Medical Imaging.

Perspective volume rendering of cross-sectional images for simulated endoscopy and intraparenchymal viewing

Geoffrey D. Rubin, Sandy Napel, Christopher F. Beaulieu, 1996, Medical Imaging.

Automated coronary CT angiography plaque-lumen segmentation

Wesley D. Turner, Geoffrey D. Rubin, Harvey E. Cline, 2009, Medical Imaging.

Test of the ALICE DDL:Test setups and Test of ALICE DDL Integration to ALICE TPC test system

Geoffrey D. Rubin, Peter Csato, David Tarjan, 1998 .

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models

Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao, 2019, Medical Imaging.

Adaptive border marching algorithm: Automatic lung segmentation on chest CT images

Geoffrey D. Rubin, Jiantao Pu, Sandy Napel, 2008, Comput. Medical Imaging Graph..

The ALICE Detector Data Link project

Tamas Kiss, Geoffrey D. Rubin, B. Eged, 1999 .

Development of local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging

Ehsan Samei, Geoffrey D. Rubin, Justin Solomon, 2017, Medical Imaging.

Image Interpretation Session 1

Geoffrey D. Rubin, W. Dennis Foley, Christian J. Herold, 2005 .

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

Ehsan Samei, Maciej A. Mazurowski, Wanyi Fu, 2020, ArXiv.

Medical Image Segmentation Using Analysis of Isolabel-Contour Maps

Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel, 2000, IEEE Trans. Medical Imaging.

2.5D CNN model for detecting lung disease using weak supervision

Joseph Y. Lo, Yue Geng, Geoffrey D. Rubin, 2019, Medical Imaging.

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Lawrence Carin, Maciej A. Mazurowski, Joseph Y. Lo, 2020, Medical Image Anal..

Automated creation of radiology teaching modules: demonstration of PACS integration and distribution

Geoffrey D. Rubin, Bhargav Raman, Christopher F. Beaulieu, 2002, SPIE Medical Imaging.

Shape “Break-and-Repair” Strategy and Its Application to Automated Medical Image Segmentation

Xin Meng, Geoffrey D. Rubin, Jiantao Pu, 2011, IEEE Transactions on Visualization and Computer Graphics.

Volumetric applications for spiral CT in the thorax

Geoffrey D. Rubin, Sandy Napel, Ann N. Leung, 1994, Medical Imaging.

Thin client architecture in support of remote radiology learning

Geoffrey D. Rubin, Sandy Napel, David S. Paik, 2009, SAC '09.

Attention-guided classification of abnormalities in semi-structured computed tomography reports

Rui Hou, Joseph Y. Lo, Geoffrey D. Rubin, 2020, Medical Imaging.

Alternative Visualization and Analysis of Volumetric Data

Geoffrey D. Rubin, 2000 .

Deep learning of 3D computed tomography (CT) images for organ segmentation using 2D multi-channel SegNet model

Maciej A. Mazurowski, Wanyi Fu, Vignesh Selvakumaran, 2019, Medical Imaging.

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

Joong-Ho Won, Sungroh Yoon, Yongkweon Jeon, 2013, IEEE Transactions on Visualization and Computer Graphics.

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Joyoni Dey, Geoffrey D. Rubin, Burak Acar, 2022 .

Longitudinal sampling and aliasing in spiral CT

Geoffrey D. Rubin, Chye Hwang Yan, Sandy Napel, 1999, IEEE Transactions on Medical Imaging.

Perception of Volumetric Data

Trafton Drew, Geoffrey D. Rubin, Lauren H. Williams, 2018, The Handbook of Medical Image Perception and Techniques.

Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest

Geoffrey D. Rubin, Bhargav Raman, Raghav Raman, 2006, Journal of Digital Imaging.

Defining the Role and Benefits of a 3D Laboratory for Cardiovascular CT

Geoffrey D. Rubin, Daniel T. Boll, Laura J. Pierce, 2019, Contemporary Medical Imaging.

Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration

Geoffrey D. Rubin, Shaohua Sun, Sandy Napel, 2008, Applied Intelligence.

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Joseph Y. Lo, Lawrence Carin, Maciej A. Mazurowski, 2020, Medical Image Anal..

Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning.

Joseph Y. Lo, Ehsan Samei, Maciej A. Mazurowski, 2020, Radiology. Artificial intelligence.

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning pdf

Joseph Y. Lo, Maciej A. Mazurowski, Geoffrey D. Rubin, 2021, ArXiv.

Body CT: technical advances for improving safety.

Geoffrey D. Rubin, Daniele Marin, Rendon C. Nelson, 2011, AJR. American journal of roentgenology.

MDCT · From Protocols to Practice

Mannudeep K. Kalra, Geoffrey D. Rubin, M. Kalra, 2008 .

Multidetector-row computed tomography

Guy Marchal, Geoffrey D. Rubin, Thomas J. Vogl, 2005 .

Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology

Udo Hoffmann, Geoffrey D. Rubin, Pawel Buszman, 2007, The International Journal of Cardiovascular Imaging.

Computed Tomographic Angiography Before and After Aortic Stent-Grafting

Geoffrey D. Rubin, G. Rubin, 1999 .

MDCT: a new era in imaging

Geoffrey D. Rubin, 2006 .

Flattening the Abdominal Aortic Tree for Effective Visualization

Joong-Ho Won, Geoffrey D. Rubin, Sandy Napel, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

CT Angiography of Peripheral Arterial Disease January 2006 JVIR

Geoffrey D. Rubin, Dominik Fleischmann, G. Rubin, 2006 .