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Stefan Jaeger

Showing results (11-20 of 47) with videos related to

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Journal of Imaging Informatics in Medicine|April 8, 2024
Automated Pulmonary Tuberculosis Severity Assessment on Chest X-raysKarthik Kantipudi, Jingwen Gu, Vy Bui, et al.
Biomedicines|June 24, 2022
Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-raysSivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 14, 2025
Semantic Segmentation of TB in Chest X-rays: a New Dataset and Generalization EvaluationKarthik Kantipudi, Vy Bui, Hang Yu, et al.
Quantitative Imaging in Medicine and Surgery|May 1, 2013
Automatic screening for tuberculosis in chest radiographs: a surveyStefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep LearningZhiyun Xue, Rodney Long, Stefan Jaeger, et al.
Quantitative Imaging in Medicine and Surgery|December 20, 2014
Two public chest X-ray datasets for computer-aided screening of pulmonary diseasesStefan Jaeger, Sema Candemir, Sameer Antani, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 9, 2016
Atlas-based rib-bone detection in chest X-raysSema Candemir, Stefan Jaeger, Sameer Antani, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training StrategiesManohar Karki, Karthik Kantipudi, Hang Yu, et al.
Quantitative Imaging in Medicine and Surgery|April 4, 2022
Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testingWen Zhou, Guanxun Cheng, Ziqi Zhang, et al.
Journal of X-Ray Science and Technology|November 9, 2020
Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infectionsYanhong Yang, Fleming Y M Lure, Hengyuan Miao, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Journal of Imaging Informatics in Medicine|April 8, 2024
Automated Pulmonary Tuberculosis Severity Assessment on Chest X-raysKarthik Kantipudi, Jingwen Gu, Vy Bui, et al.
Biomedicines|June 24, 2022
Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-raysSivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 14, 2025
Semantic Segmentation of TB in Chest X-rays: a New Dataset and Generalization EvaluationKarthik Kantipudi, Vy Bui, Hang Yu, et al.
Quantitative Imaging in Medicine and Surgery|May 1, 2013
Automatic screening for tuberculosis in chest radiographs: a surveyStefan Jaeger, Alexandros Karargyris, Sema Candemir, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep LearningZhiyun Xue, Rodney Long, Stefan Jaeger, et al.
Quantitative Imaging in Medicine and Surgery|December 20, 2014
Two public chest X-ray datasets for computer-aided screening of pulmonary diseasesStefan Jaeger, Sema Candemir, Sameer Antani, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 9, 2016
Atlas-based rib-bone detection in chest X-raysSema Candemir, Stefan Jaeger, Sameer Antani, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training StrategiesManohar Karki, Karthik Kantipudi, Hang Yu, et al.
Quantitative Imaging in Medicine and Surgery|April 4, 2022
Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testingWen Zhou, Guanxun Cheng, Ziqi Zhang, et al.
Journal of X-Ray Science and Technology|November 9, 2020
Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infectionsYanhong Yang, Fleming Y M Lure, Hengyuan Miao, et al.
Pageof 5