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Dae Hoe Kim

Showing results (1-10 of 9) with videos related to

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Physics in Medicine and Biology|November 4, 2015
Improving mass detection using combined feature representations from projection views and reconstructed volume of DBT and boosting based classification with feature selectionDae Hoe Kim, Seong Tae Kim, Yong Man Ro
Computers in Biology and Medicine|December 3, 2014
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detectionDae Hoe Kim, Jae Young Choi, Yong Man Ro
Medical Physics|December 4, 2015
Detection of masses in digital breast tomosynthesis using complementary information of simulated projectionSeong Tae Kim, Dae Hoe Kim, Yong Man Ro
Biomedical Engineering Online|February 26, 2014
Mass type-specific sparse representation for mass classification in computer-aided detection on mammogramsDae Hoe Kim, Seung Hyun Lee, Yong Man Ro
Physics in Medicine and Biology|August 15, 2014
Breast mass detection using slice conspicuity in 3D reconstructed digital breast volumesSeong Tae Kim, Dae Hoe Kim, Yong Man Ro
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Denoising 3D ultrasound volumes using sparse representationDae Hoe Kim, Konstantinos N Plataniotis, Yong Man Ro
Physics in Medicine and Biology|January 13, 2017
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesisDae Hoe Kim, Seong Tae Kim, Jung Min Chang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammogramsJae Young Choi, Dae Hoe Kim, Konstantinos N Plataniotis, et al.
Physics in Medicine and Biology|June 14, 2014
Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classificationJae Young Choi, Dae Hoe Kim, Konstantinos N Plataniotis, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Physics in Medicine and Biology|November 4, 2015
Improving mass detection using combined feature representations from projection views and reconstructed volume of DBT and boosting based classification with feature selectionDae Hoe Kim, Seong Tae Kim, Yong Man Ro
Computers in Biology and Medicine|December 3, 2014
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detectionDae Hoe Kim, Jae Young Choi, Yong Man Ro
Medical Physics|December 4, 2015
Detection of masses in digital breast tomosynthesis using complementary information of simulated projectionSeong Tae Kim, Dae Hoe Kim, Yong Man Ro
Biomedical Engineering Online|February 26, 2014
Mass type-specific sparse representation for mass classification in computer-aided detection on mammogramsDae Hoe Kim, Seung Hyun Lee, Yong Man Ro
Physics in Medicine and Biology|August 15, 2014
Breast mass detection using slice conspicuity in 3D reconstructed digital breast volumesSeong Tae Kim, Dae Hoe Kim, Yong Man Ro
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Denoising 3D ultrasound volumes using sparse representationDae Hoe Kim, Konstantinos N Plataniotis, Yong Man Ro
Physics in Medicine and Biology|January 13, 2017
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesisDae Hoe Kim, Seong Tae Kim, Jung Min Chang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammogramsJae Young Choi, Dae Hoe Kim, Konstantinos N Plataniotis, et al.
Physics in Medicine and Biology|June 14, 2014
Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classificationJae Young Choi, Dae Hoe Kim, Konstantinos N Plataniotis, et al.
Pageof 1