Dae Hoe Kim

发表

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes

Yong Man Ro, Wissam J. Baddar, Eun Joon Kim, 2015, Medical Imaging.

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A comparison of convolutional object detectors for real-time drone tracking using a PTZ camera

Jihun Park, Dae Hoe Kim, Sang-ho Lee, 2017, 2017 17th International Conference on Control, Automation and Systems (ICCAS).

Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms

Yong Man Ro, Konstantinos N. Plataniotis, Dae Hoe Kim, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Spatio-temporal representation for face authentication by using multi-task learning with human attributes

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2012, Medical Imaging.

Learning drone-control actions in surveillance videos

Yong Woon Park, Dae Hoe Kim, Sunyoung Cho, 2017, 2017 17th International Conference on Control, Automation and Systems (ICCAS).

Improvement of subtle microcalcifications detection in DBT slices

Yong Man Ro, Eun Joon Kim, Dae Hoe Kim, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Generation of conspicuity-improved synthetic image from digital breast tomosynthesis

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2014, 2014 19th International Conference on Digital Signal Processing.

Feature extraction from bilateral dissimilarity in DBT reconstructed volume

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2015, ICIP 2015.

Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Denoising 3D ultrasound volumes using sparse representation

Yong Man Ro, Konstantinos N. Plataniotis, Dae Hoe Kim, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2019, IEEE Transactions on Affective Computing.

Color channel-wise recurrent learning for facial expression recognition

Yong Man Ro, Dae Hoe Kim, Hyungil Kim, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms

Yong Man Ro, Dae Hoe Kim, Seung Hyun Lee, 2013, Biomedical engineering online.

Feature extraction from inter-view similarity of DBT projection views

Yong Man Ro, Dae Hoe Kim, Seong Tae Kim, 2015, Medical Imaging.

Computer-Aided Detection of Breast Masses on Mammograms Using Region-Based Feature Analysis

Yong Man Ro, Dae Hoe Kim, Jae-Young Choi, 2011 .

Boosting framework for mammographic mass classification with combination of CC and MLO view information

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2013, Medical Imaging.

Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography

Yong Man Ro, Konstantinos N. Plataniotis, Dae Hoe Kim, 2014, Medical Imaging.

Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection

Yong Man Ro, Dae Hoe Kim, Seong Tae Kim, 2015, Medical Imaging.

Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2014, Physics in medicine and biology.

Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2012, Medical Imaging.

Breast tissue removal for enhancing microcalcification cluster detection in mammograms

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2015, Comput. Biol. Medicine.

Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2017, MMM.

Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography

Yong Man Ro, Konstantinos N. Plataniotis, Dae Hoe Kim, 2016, Expert Syst. Appl..

A deep facial landmarks detection with facial contour and facial components constraint

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2012, 2012 19th IEEE International Conference on Image Processing.

Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2012, ICIP.

Region matching based on local structure information in ipsilateral digital breast tomosynthesis views

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis

Yong Man Ro, Dae Hoe Kim, Seong-Tae Kim, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

저전력 임베디드 보드 환경에서의 딥 러닝 기반 성별인식 시스템 구현

김대회, 노용만, Yong Man Ro, 2017 .

Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information

Yong Man Ro, Dae Hoe Kim, Jae Young Choi, 2013, Medical Imaging.

Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations

Yong Man Ro, Wissam J. Baddar, Dae Hoe Kim, 2016, ACM Multimedia.