Seong Tae Kim

Abinav Ravi Venkatakrishnan

Image Vis. Comput., 2020

Self-Supervised Out-of-Distribution Detection in Brain CT Scans.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Confident Coreset for Active Learning in Medical Image Analysis.

[BibT_eX]

[DOI]

Farrukh Mushtaq

Nassir Navab

CoRR, 2020

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Attended Relation Feature Representation of Facial Dynamics for Facial Authentication.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2019

Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion.

[BibT_eX]

[DOI]

Leslie Ching Ow Tiong

Multim. Tools Appl., 2019

Explaining Neural Networks via Perturbing Important Learned Features.

[BibT_eX]

[DOI]

CoRR, 2019

Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.

[BibT_eX]

[DOI]

Hyebin Lee

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019

Realistic Breast Mass Generation Through BIRADS Category.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis.

[BibT_eX]

[DOI]

Jae-Hyeok Lee

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Probenet: Probing Deep Networks.

[BibT_eX]

[DOI]

Jae-Hyeok Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis.

[BibT_eX]

[DOI]

Hyebin Lee

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Convolution with Logarithmic Filter Groups for Efficient Shallow CNN.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Teacher and Student Joint Learning for Compact Facial Landmark Detection Network.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

ICADx: interpretable computer aided diagnosis of breast masses.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Interpretable Facial Relational Network Using Relational Importance.

[BibT_eX]

[DOI]

CoRR, 2017

Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data.

[BibT_eX]

[DOI]

CoRR, 2017

EvaluationNet: Can Human Skill be Evaluated by Deep Networks?

[BibT_eX]

[DOI]

CoRR, 2017

Adaptive attention fusion network for visual question answering.

[BibT_eX]

[DOI]

Geonmo Gu

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Multi-Scale Facial Scanning via Spatial Lstm for Latent Facial Feature Representation.

[BibT_eX]

[DOI]

Yeoreum Choi

Proceedings of the International Conference of the Biometrics Special Interest Group, 2017

2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

Feature extraction from inter-view similarity of DBT projection views.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Generation of conspicuity-improved synthetic image from digital breast tomosynthesis.

[BibT_eX]

[DOI]