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G

Georgia D. Tourassi

oak ridge national laboratory
H指数:41
被引数:7,450

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Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers

立场文件: 医学图像分析中的人工智能: 进展，临床翻译和新兴前沿

IEEE Journal of Biomedical and Health Informatics
IF6.8
2025-12-310
OAAI
A. S. Panayides; H. Chen; N. D. Filipovic; T. Geroski; J. Hou; K. Lekadir; K. Marias; G. K. Matsopoulos; G. Papanastasiou; P. Sarder; G. Tourassi; S. A. Tsaftaris; H. Fu; E. Kyriacou; C. P. Loizou; M. Zervakis; J.H. Saltz; F. E. Shamout; K. C. L. Wong; J. Yao; A. Amini; D.I. Fotiadis; C.S. Pattichis; M.S. Pattichis
Redefining druggable targets with artificial intelligence

利用人工智能重新定义可成药性靶点

Nature Biotechnology
IF41.7
2025-08-190
PRE
Karen Akinsanya; Mohammed AlQuraishi; Ann Boija; John Chodera; Anna Cichońska; Marzyeh Ghassemi; Martha Head; Wengong Jin; Warren A. Kibbe; Nevan Krogan; Michael V. LeVine; John Moult; Lynda Stuart; Georgia Tourassi; James Zou; Regina Barzilay; Olivier Elemento
The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances by Discovery in Radiation Detection
MEDICAL PHYSICS
IF3.2
2024-08-231
OA
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
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets (vol 20, pg 824, 2023)
NATURE METHODS
IF32.1
2024-08-020
OA
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
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
NATURE METHODS
IF32.1
2023-04-1722
OA
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
The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances via Discovery in Physical Sciences
MEDICAL PHYSICS
IF3.2
2023-02-221
OA
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
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
MEDICAL PHYSICS
IF3.2
2023-01-0646
OA
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
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
AMERICAN JOURNAL OF EPIDEMIOLOGY
IF4.8
2021-06-244
OA
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

研究方向

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Jennifer A. Doherty
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