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Kenny Cha

Showing results (1-10 of 19) with videos related to

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BMC Bioinformatics|December 16, 2022
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clustersTrinity Cheng, Pei-Ju Chin, Kenny Cha, et al.
Journal of Biopharmaceutical Statistics|June 18, 2024
A comparison of Bayesian and score methods for interval estimates of positive/negative likelihood ratios in support of diagnostic device performance evaluationTingting Hu, Berkman Sahiner, Nicholas Petrick, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 24, 2025
Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standardTingting Hu, Berkman Sahiner, Shuyue Guan, et al.
Medical Physics|January 4, 2017
Computer-aided detection of retained surgical needles from postoperative radiographsAunnasha Sengupta, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Medical Physics|July 3, 2015
Detection of urinary bladder mass in CT urography with SPANKenny Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Medical Physics|December 3, 2016
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammographyRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Physics in Medicine and Biology|May 8, 2014
CT urography: segmentation of urinary bladder using CLASS with local contour refinementKenny Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Physics in Medicine and Biology|April 5, 2018
Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesisRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 9, 2023
Weakly Supervised Deep Learning for Predicting the Response to Hormonal Treatment of Women with Atypical Endometrial Hyperplasia: A Feasibility StudySeyed Kahaki, Ian S Hagemann, Kenny Cha, et al.
Tomography (Ann Arbor, Mich.)|March 8, 2021
Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot StudySean Woolen, Apurva Virkud, Lubomir Hadjiiski, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|December 16, 2022
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clustersTrinity Cheng, Pei-Ju Chin, Kenny Cha, et al.
Journal of Biopharmaceutical Statistics|June 18, 2024
A comparison of Bayesian and score methods for interval estimates of positive/negative likelihood ratios in support of diagnostic device performance evaluationTingting Hu, Berkman Sahiner, Nicholas Petrick, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 24, 2025
Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standardTingting Hu, Berkman Sahiner, Shuyue Guan, et al.
Medical Physics|January 4, 2017
Computer-aided detection of retained surgical needles from postoperative radiographsAunnasha Sengupta, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Medical Physics|July 3, 2015
Detection of urinary bladder mass in CT urography with SPANKenny Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Medical Physics|December 3, 2016
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammographyRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Physics in Medicine and Biology|May 8, 2014
CT urography: segmentation of urinary bladder using CLASS with local contour refinementKenny Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Physics in Medicine and Biology|April 5, 2018
Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesisRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 9, 2023
Weakly Supervised Deep Learning for Predicting the Response to Hormonal Treatment of Women with Atypical Endometrial Hyperplasia: A Feasibility StudySeyed Kahaki, Ian S Hagemann, Kenny Cha, et al.
Tomography (Ann Arbor, Mich.)|March 8, 2021
Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot StudySean Woolen, Apurva Virkud, Lubomir Hadjiiski, et al.
Pageof 2