Publications by authors named "Georgia D Tourassi"

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Development of message passing-based graph convolutional networks for classifying cancer pathology reports.
Hong-Jun Yoon, Hilda B Klasky, Andrew E Blanchard, J Blair Christian, Eric B Durbin, Georgia D Tourassi

BMC Med Inform Decis Mak· September 2024

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Deep learning uncertainty quantification for clinical text classification.
Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd Yusof, Tanmoy Bhattacharya, Georgia D Tourassi

J Biomed Inform· January 2024

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A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.
Andrew E Blanchard, Shang Gao, Hong-Jun Yoon, J Blair Christian, Eric B Durbin, Georgia D Tourassi

IEEE J Biomed Health Inform· June 2022

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Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.
Hong-Jun Yoon, Christopher Stanley, J Blair Christian, Hilda B Klasky, Andrew E Blanchard, Georgia D Tourassi

Cancer Biomark· March 2022

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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.
Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B Durbin, Xiao-Cheng Wu, Georgia D Tourassi

J Biomed Inform· January 2022

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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.
Hong-Jun Yoon, Hilda B Klasky, John P Gounley, Mohammed Alawad, Shang Gao, Georgia D Tourassi

J Biomed Inform· October 2020

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Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real-World Evidence in the Era of Precision Oncology.
Donna R Rivera, Jerry S H Lee, Elizabeth Hsu, Muin J Khoury, Frank Meng, Georgia D Tourassi

Clin Pharmacol Ther· July 2019

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Scalable deep text comprehension for Cancer surveillance on high-performance computing.
John X Qiu, Hong-Jun Yoon, Kshitij Srivastava, Thomas P Watson, J Blair Christian, Georgia D Tourassi

BMC Bioinformatics· December 2018

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Hierarchical attention networks for information extraction from cancer pathology reports.
Shang Gao, Michael T Young, John X Qiu, Hong-Jun Yoon, James B Christian, Georgia D Tourassi

J Am Med Inform Assoc· March 2018

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Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.
John X Qiu, Hong-Jun Yoon, Paul A Fearn, Georgia D Tourassi

IEEE J Biomed Health Inform· January 2018

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Letter to the Editor: Use of Publicly Available Image Resources.
Samuel G Armato, Karen Drukker, Feng Li, Lubomir Hadjiiski, Georgia D Tourassi

Acad Radiol· July 2017

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Fractal analysis of visual search activity for mass detection during mammographic screening.
Folami Alamudun, Hong-Jun Yoon, Kathleen B Hudson, Garnetta Morin-Ducote, Tracy Hammond, Georgia D Tourassi

Med Phys· March 2017

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LUNGx Challenge for computerized lung nodule classification.
Samuel G Armato, Karen Drukker, Feng Li, Lubomir Hadjiiski, Georgia D Tourassi

J Med Imaging (Bellingham)· October 2016

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LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.
Samuel G Armato, Lubomir Hadjiiski, Georgia D Tourassi, Karen Drukker, Maryellen L Giger

J Med Imaging (Bellingham)· April 2015

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Predicting diagnostic error in radiology via eye-tracking and image analytics: preliminary investigation in mammography.
Sophie Voisin, Frank Pinto, Garnetta Morin-Ducote, Kathleen B Hudson, Georgia D Tourassi

Med Phys· October 2013

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Identifying error-making patterns in assessment of mammographic BI-RADS descriptors among radiology residents using statistical pattern recognition.
Maciej A Mazurowski, Huiman X Barnhart, Jay A Baker, Georgia D Tourassi

Acad Radiol· July 2012

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The effect of class imbalance on case selection for case-based classifiers: an empirical study in the context of medical decision support.
Jordan M Malof, Maciej A Mazurowski, Georgia D Tourassi

Neural Netw· January 2012

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Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.
Maciej A Mazurowski, Joseph Y Lo, Brian P Harrawood, Georgia D Tourassi

J Biomed Inform· October 2011

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Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support.
Maciej A Mazurowski, Jordan M Malof, Georgia D Tourassi

Phys Med Biol· January 2011

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Exploring the potential of context-sensitive CADe in screening mammography.
Georgia D Tourassi, Maciej A Mazurowski, Brian P Harrawood, Elizabeth A Krupinski

Med Phys· November 2010

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Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments.
Maciej A Mazurowski, Jay A Baker, Huiman X Barnhart, Georgia D Tourassi

Med Phys· March 2010

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An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms.
Maciej A Mazurowski, Jacek M Zurada, Georgia D Tourassi

Med Phys· July 2009

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Methodology for generating a 3D computerized breast phantom from empirical data.
Christina M Li, W Paul Segars, Georgia D Tourassi, John M Boone, James T Dobbins

Med Phys· July 2009

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Selection of examples in case-based computer-aided decision systems.
Maciej A Mazurowski, Jacek M Zurada, Georgia D Tourassi

Phys Med Biol· November 2008

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Near-Field High-Energy Spectroscopic Gamma Imaging Using a Rotation Modulation Collimator.
Amy C Sharma, Timothy G Turkington, Georgia D Tourassi, Carey E Floyd

Nucl Instrum Methods Phys Res B· November 2008

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