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Development of message passing-based graph convolutional networks for classifying cancer pathology reports 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. Share Save
The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances by Discovery in Radiation Detection Buchsbaum, Jeffrey; Capala, Jacek; Obcemea, Ceferino; Keppel, Cynthia; Asai, Makoto; Chen, Guang-Hong; Christy, M. Eric; El Fakhri, Georges; Gueye, Paul; Pogue, Brian; Ruckman, Larry; Tourassi, Georgia; Vetter, Kai; Zhao, Wei; Squires, Allison; Saboury, Babak; Wang, Ge; Domurat-Sousa, Kepler; Weisenberger, Andrew Share Save
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets (vol 20, pg 824, 2023) Manubens-Gil, Linus; Zhou, Zhi; Chen, Hanbo; Ramanathan, Arvind; Liu, Xiaoxiao; Liu, Yufeng; Bria, Alessandro; Gillette, Todd; Ruan, Zongcai; Yang, Jian; Radojevic, Miroslav; Zhao, Ting; Cheng, Li; Qu, Lei; Liu, Siqi; Bouchard, Kristofer E.; Gu, Lin; Cai, Weidong; Ji, Shuiwang; Roysam, Badrinath; Wang, Ching-Wei; Yu, Hongchuan; Sironi, Amos; Iascone, Daniel Maxim; Zhou, Jie; Bas, Erhan; Conde-Sousa, Eduardo; Aguiar, Paulo; Li, Xiang; Li, Yujie; Nanda, Sumit; Wang, Yuan; Muresan, Leila; Fua, Pascal; Ye, Bing; He, Hai-yan; Staiger, Jochen F.; Peter, Manuel; Cox, Daniel N.; Simonneau, Michel; Oberlaender, Marcel; Jefferis, Gregory; Ito, Kei; Gonzalez-Bellido, Paloma; Kim, Jinhyun; Rubel, Edwin; Cline, Hollis T.; Zeng, Hongkui; Nern, Aljoscha; Chiang, Ann-Shyn; Yao, Jianhua; Roskams, Jane; Livesey, Rick; Stevens, Janine; Liu, Tianming; Dang, Chinh; Guo, Yike; Zhong, Ning; Tourassi, Georgia; Hill, Sean; Hawrylycz, Michael; Koch, Christof; Meijering, Erik; Ascoli, Giorgio A.; Peng, Hanchuan Share Save
Deep learning uncertainty quantification for clinical text classification 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 Share Save
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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets Manubens-Gil, Linus; Zhou, Zhi; Chen, Hanbo; Ramanathan, Arvind; Liu, Xiaoxiao; Liu, Yufeng; Bria, Alessandro; Gillette, Todd; Ruan, Zongcai; Yang, Jian; Radojevic, Miroslav; Zhao, Ting; Cheng, Li; Qu, Lei; Liu, Siqi; Bouchard, Kristofer E.; Gu, Lin; Cai, Weidong; Ji, Shuiwang; Roysam, Badrinath; Wang, Ching-Wei; Yu, Hongchuan; Sironi, Amos; Iascone, Daniel Maxim; Zhou, Jie; Bas, Erhan; Conde-Sousa, Eduardo; Aguiar, Paulo; Li, Xiang; Li, Yujie; Nanda, Sumit; Wang, Yuan; Muresan, Leila; Fua, Pascal; Ye, Bing; He, Hai-yan; Staiger, Jochen F.; Peter, Manuel; Cox, Daniel N.; Simonneau, Michel; Oberlaender, Marcel; Jefferis, Gregory; Ito, Kei; Gonzalez-Bellido, Paloma; Kim, Jinhyun; Rubel, Edwin; Cline, Hollis T.; Zeng, Hongkui; Nern, Aljoscha; Chiang, Ann-Shyn; Yao, Jianhua; Roskams, Jane; Livesey, Rick; Stevens, Janine; Liu, Tianming; Dang, Chinh; Guo, Yike; Zhong, Ning; Tourassi, Georgia; Hill, Sean; Hawrylycz, Michael; Koch, Christof; Meijering, Erik; Ascoli, Giorgio A.; Peng, Hanchuan Share Save
The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances via Discovery in Physical Sciences Keppel, Cynthia; Weisenberger, Andrew; Atanasijevic, Tatjana; Wang, Shumin; Zubal, George; Buchsbaum, Jeffrey; Brechbiel, Martin; Capala, Jacek; Escorcia, Freddy; Obcemea, Ceferino; Boehnlein, Amber; Heyes, Graham; Bourne, Philip; Cherry, Simon; Colby, Eric; El Fakhri, Georges; Gillo, Jehanne; Gropler, Robert; Gueye, Paul; Tourassi, Georgia; Peggs, Steve; Woody, Craig Share Save
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Nappi, Janne J.; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; Deserno, Thomas M.; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; Summers, Ronald M.; Suzuki, Kenji; Tourassi, Georgia; Vergara, Daniel; Armato, Samuel G., III Share Save
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification 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. Share Save
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types 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 Share Save
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Limitations of Transformers on Clinical Text Classification Gao, Shang; Alawad, Mohammed; Young, M. Todd; Gounley, John; Schaefferkoetter, Noah; Yoon, Hong Jun; Wu, Xiao-Cheng; Durbin, Eric B.; Doherty, Jennifer; Stroup, Antoinette; Coyle, Linda; Tourassi, Georgia Share Save
Privacy-Preserving Deep Learning NLP Models for Cancer Registries Alawad, Mohammed; Yoon, Hong-Jun; Gao, Shang; Mumphrey, Brent; Wu, Xiao-Cheng; Durbin, Eric B.; Jeong, Jong Cheol; Hands, Isaac; Rust, David; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia Share Save
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans Gerlovin, Hanna; Posner, Daniel C.; Ho, Yuk-Lam; Rentsch, Christopher T.; Tate, Janet P.; King, Joseph T. Jr Jr; Kurgansky, Katherine E.; Danciu, Ioana; Costa, Lauren; Linares, Franciel A.; Goethert, Ian D.; Jacobson, Daniel A.; Freiberg, Matthew S.; Begoli, Edmon; Muralidhar, Sumitra; Ramoni, Rachel B.; Tourassi, Georgia; Gaziano, J. Michael; Justice, Amy C.; Gagnon, David R.; Cho, Kelly Share Save
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports 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; Christian, J. Blair; Tourassi, Georgia D. Share Save
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