Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms. - Jae Young Choi; Dae Hoe Kim; Yong Man Ro (BHI, 2012)

Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms. - Jae Young Choi; Dae Hoe Kim; Konstantinos N. Plataniotis; Yong Man Ro (EMBC, 2012)

Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection. - Dae Hoe Kim; Jae Young Choi; Yong Man Ro (ICIP, 2012)

A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms. - Dae Hoe Kim; Jae Young Choi; Yong Man Ro (ICIP, 2012)

Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms. - Jae Young Choi; Dae Hoe Kim; Seon Hyeong Choi; Yong Man Ro (Computer-Aided Diagnosis, 2012)

Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms. - Dae Hoe Kim; Jae Young Choi; Seon Hyeong Choi; Yong Man Ro (Computer-Aided Diagnosis, 2012)

Denoising 3D ultrasound volumes using sparse representation. - Dae Hoe Kim; Konstantinos N. Plataniotis; Yong Man Ro (EMBC, 2013)

Boosting framework for mammographic mass classification with combination of CC and MLO view information. - Dae Hoe Kim; Jae Young Choi; Yong Man Ro (Computer-Aided Diagnosis, 2013)

Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information. - Seung Hyun Lee; Dae Hoe Kim; Jae Young Choi; Yong Man Ro (Computer-Aided Diagnosis, 2013)

Breast tissue removal for enhancing microcalcification cluster detection in mammograms. - Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (BHI, 2014)

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis. - Seong-Tae Kim 001; Dae Hoe Kim; Eun Suk Cha; Yong Man Ro (BHI, 2014)

Improvement of subtle microcalcifications detection in DBT slices. - Eun Joon Kim; Dae Hoe Kim; Eun Suk Cha; Yong Man Ro (BHI, 2014)

Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (DSP, 2014)

Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography. - Dae Hoe Kim; Konstantinos N. Plataniotis; Yong Man Ro (Computer-Aided Diagnosis, 2014)

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. - Dae Hoe Kim; Seong-Tae Kim 001; Wissam J. Baddar; Yong Man Ro (ICIP, 2015)

Region matching based on local structure information in ipsilateral digital breast tomosynthesis views. - Seong-Tae Kim 001; Dae Hoe Kim; Dong Jin Ji; Yong Man Ro (ICIP, 2015)

Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion. - Jeong-Jik Seo; Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (ICIP, 2015)

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes. - Wissam J. Baddar; Eun Joon Kim; Dae Hoe Kim; Yong Man Ro (Computer-Aided Diagnosis, 2015)

Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection. - Seong Tae Kim 001; Dae Hoe Kim; Yong Man Ro (Computer-Aided Diagnosis, 2015)

Feature extraction from inter-view similarity of DBT projection views. - Dae Hoe Kim; Seong Tae Kim 001; Yong Man Ro (Computer-Aided Diagnosis, 2015)

Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection. - Dae Hoe Kim; Jae Young Choi; Yong Man Ro (Comput. Biol. Medicine, 2015)

Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (BTAS, 2016)

Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis. - Dae Hoe Kim; Seong-Tae Kim 001; Yong Man Ro (ICASSP, 2016)

A deep facial landmarks detection with facial contour and facial components constraint. - Wissam J. Baddar; Jisoo Son; Dae Hoe Kim; Seong-Tae Kim 001; Yong Man Ro (ICIP, 2016)

Spatio-temporal representation for face authentication by using multi-task learning with human attributes. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (ICIP, 2016)

Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. - Dae Hoe Kim; Wissam J. Baddar; Yong Man Ro (ACM Multimedia, 2016)

Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography. - Jae Young Choi; Dae Hoe Kim; Konstantinos N. Plataniotis; Yong Man Ro (Expert Syst. Appl., 2016)

Color channel-wise recurrent learning for facial expression recognition. - Jinhyeok Jang; Dae Hoe Kim; Hyungil Kim; Yong Man Ro (ICASSP, 2017)

Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition. - Wissam J. Baddar; Dae Hoe Kim; Yong Man Ro (MMM (1), 2017)

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. - Dae Hoe Kim; Wissam J. Baddar; Jinhyeok Jang; Yong Man Ro (IEEE Trans. Affect. Comput., 2019)

CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety. - Je-Seok Ham; Dae Hoe Kim; NamKyo Jung; Jinyoung Moon (CVPR Workshops, 2023)

PedRiskNet: Classifying Pedestrian Situations in Surveillance Videos for Pedestrian Safety Monitoring in Smart Cities. - Dae Hoe Kim; Jinyoung Moon (AVSS, 2024)

AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model. - Jeong Hun Yeo; Minsu Kim 001; Jeongsoo Choi; Dae Hoe Kim; Yong Man Ro (IEEE Trans. Multim., 2024)

WatchoutPed: A dataset and model for Vulnerable Pedestrian Anticipation in surveillance videos. - Je-Seok Ham; Dae Hoe Kim; Jinyoung Moon (Knowl. Based Syst., 2025)