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Lubomir M Hadjiiski

Showing results (1-10 of 81) with videos related to

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Tomography (Ann Arbor, Mich.)|June 18, 2020
Quantitative Imaging Network: 12 Years of AccomplishmentsLubomir M Hadjiiski, Robert J Nordstrom
IEEE Transactions on Medical Imaging|March 13, 2008
Performance analysis of three-class classifiers: properties of a 3-D ROC surface and the normalized volume under the surface for the ideal observerBerkman Sahiner, Heang-Ping Chan, Lubomir M Hadjiiski
Medical Physics|May 18, 2020
Computer-aided diagnosis in the era of deep learningHeang-Ping Chan, Lubomir M Hadjiiski, Ravi K Samala
The British Journal of Radiology|November 20, 2019
CAD and AI for breast cancer-recent development and challengesHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski
Medical Physics|December 17, 2010
Selective-diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis reconstructionYao Lu, Heang-Ping Chan, Jun Wei, et al.
IEEE Access : Practical Innovations, Open Solutions|June 6, 2022
Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete AnnotationChuan Zhou, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Physics in Medicine and Biology|January 16, 2013
A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstructionYao Lu, Heang-Ping Chan, Jun Wei, et al.
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning in Medical Image AnalysisHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski, et al.
Medical Physics|March 17, 2010
Effect of finite sample size on feature selection and classification: a simulation studyTed W Way, Berkman Sahiner, Lubomir M Hadjiiski, et al.
Medical Physics|December 5, 2002
The effects of stereo shift angle, geometric magnification and display zoom on depth measurements in digital stereomammographyMitchell M Goodsitt, Heang-Ping Chan, Katie L Darner, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Tomography (Ann Arbor, Mich.)|June 18, 2020
Quantitative Imaging Network: 12 Years of AccomplishmentsLubomir M Hadjiiski, Robert J Nordstrom
IEEE Transactions on Medical Imaging|March 13, 2008
Performance analysis of three-class classifiers: properties of a 3-D ROC surface and the normalized volume under the surface for the ideal observerBerkman Sahiner, Heang-Ping Chan, Lubomir M Hadjiiski
Medical Physics|May 18, 2020
Computer-aided diagnosis in the era of deep learningHeang-Ping Chan, Lubomir M Hadjiiski, Ravi K Samala
The British Journal of Radiology|November 20, 2019
CAD and AI for breast cancer-recent development and challengesHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski
Medical Physics|December 17, 2010
Selective-diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis reconstructionYao Lu, Heang-Ping Chan, Jun Wei, et al.
IEEE Access : Practical Innovations, Open Solutions|June 6, 2022
Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete AnnotationChuan Zhou, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Physics in Medicine and Biology|January 16, 2013
A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstructionYao Lu, Heang-Ping Chan, Jun Wei, et al.
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning in Medical Image AnalysisHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski, et al.
Medical Physics|March 17, 2010
Effect of finite sample size on feature selection and classification: a simulation studyTed W Way, Berkman Sahiner, Lubomir M Hadjiiski, et al.
Medical Physics|December 5, 2002
The effects of stereo shift angle, geometric magnification and display zoom on depth measurements in digital stereomammographyMitchell M Goodsitt, Heang-Ping Chan, Katie L Darner, et al.
Pageof 9