Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance von Mazurowski, Maciej A., Habas, Piotr A., Zurada, Jacek M., Lo, Joseph Y., Baker, Jay A., Tourassi, Georgia D.

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Development of message passing-based graph convolutional networks for classifying cancer pathology reports von Yoon, Hong-Jun, Klasky, Hilda B, Blanchard, Andrew E, Christian, J Blair, Durbin, Eric B, Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D

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Scalable deep text comprehension for Cancer surveillance on high-performance computing von Qiu, John X, Yoon, Hong-Jun, Srivastava, Kshitij, Watson, Thomas P, Blair Christian, J, Ramanathan, Arvind, Wu, Xiao C, Fearn, Paul A, Tourassi, Georgia D

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

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Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms von Tourassi, Georgia D., Harrawood, Brian, Singh, Swatee, Lo, Joseph Y., Floyd, Carey E.

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

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

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

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Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information von Tourassi, Georgia D., Vargas-Voracek, Rene, Catarious, David M., Floyd, Carey E.

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A study on the computerized fractal analysis of architectural distortion in screening mammograms von Tourassi, Georgia D, Delong, David M, Floyd, Carey E

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A Concentric Morphology Model for the Detection of Masses in Mammography von Eltonsy, N.H., Tourassi, G.D., Elmaghraby, A.S.

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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types von De Angeli, Kevin, Gao, Shang, Danciu, Ioana, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen, Wiggins, Charles, Damesyn, Mark, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D., Yoon, Hong-Jun

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Identifying Error-making Patterns in Assessment of Mammographic BI-RADS Descriptors among Radiology Residents Using Statistical Pattern Recognition von Mazurowski, Maciej A., PhD, Barnhart, Huiman X., PhD, Baker, Jay A., MD, Tourassi, Georgia D., PhD

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Deep learning uncertainty quantification for clinical text classification von Peluso, Alina, Danciu, Ioana, Yoon, Hong-Jun, Yusof, Jamaludin Mohd, Bhattacharya, Tanmoy, Spannaus, Adam, Schaefferkoetter, Noah, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen, Wiggins, Charles, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D., Gao, Shang

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A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification von Blanchard, Andrew E., Gao, Shang, Yoon, Hong-Jun, Christian, J. Blair, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen M., Wiggins, Charles, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D.

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

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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports von Yoon, Hong-Jun, Klasky, Hilda B., Gounley, John P., Alawad, Mohammed, Gao, Shang, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Blair Christian, J., Tourassi, Georgia D.

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Self-organizing map for cluster analysis of a breast cancer database von Markey, Mia K., Lo, Joseph Y., Tourassi, Georgia D., Floyd, Carey E.

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

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LUNGx Challenge for computerized lung nodule classification von Armato, Samuel G, Drukker, Karen, Li, Feng, Hadjiiski, Lubomir, Tourassi, Georgia D, Engelmann, Roger M, Giger, Maryellen L, Redmond, George, Farahani, Keyvan, Kirby, Justin S, Clarke, Laurence P

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