Byung-Woo Hong

发表

Automated multi-modality registration of 64-slice coronary CT angiography with myocardial perfusion spect

Piotr J. Slomka, Daniel S. Berman, C.-C. Jay Kuo, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI

Piotr J. Slomka, C.-C. Jay Kuo, Jonghye Woo, 2013, Comput. Vis. Image Underst..

A Rotational Invariant Non-local Mean

Byung-Woo Hong, Rassulzhan Poltayev, Byung-Woo Hong, 2015, PCM.

Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces

Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation

Stefano Soatto, Byung-Woo Hong, Luminita A. Vese, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints

Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi, 2012, CompIMAGE.

Enforcing local context into shape statistics

Stefano Soatto, Byung-Woo Hong, Luminita A. Vese, 2009, Adv. Comput. Math..

Integral Invariants for Shape Matching

Daniel Cremers, Stefano Soatto, Byung-Woo Hong, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised multiphase segmentation: A recursive approach

Stefano Soatto, Byung-Woo Hong, Tony F. Chan, 2009, Comput. Vis. Image Underst..

Shape Matching Using Multiscale Integral Invariants

Stefano Soatto, Byung-Woo Hong, Stefano Soatto, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Segmentation Under Occlusions Using Selective Shape Prior

Byung-Woo Hong, Tony F. Chan, Sheshadri R. Thiruvenkadam, 2007, SSVM.

Structural Comparison of Mammograms

Byung-Woo Hong, Michael Brady, 2005, BMVC.

The scale of a texture and its application to segmentation

Stefano Soatto, Byung-Woo Hong, Tony F. Chan, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label pdf

Byung-Woo Hong, Kensuke Nakamura, Byung-Woo Hong, 2020, ArXiv.

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging pdf

Byung-Woo Hong, Hendrik Dirks, Martin Burger, 2016, ArXiv.

Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information

K. Kirk Shung, Piotr J. Slomka, C.-C. Jay Kuo, 2008, J. Signal Process. Syst..

A Topographic Representation for Mammogram Segmentation

Byung-Woo Hong, Michael Brady, M. Brady, 2003, MICCAI.

Adaptive Regularization of Some Inverse Problems in Image Analysis

Stefano Soatto, Byung-Woo Hong, Martin Burger, 2017, IEEE Transactions on Image Processing.

Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces pdf

Byung-Woo Hong, Ganesh Sundaramoorthi, Naeemullah Khan, 2016, ArXiv.

Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis

Byung-Woo Hong, Michael Brady, Matthew Mellor, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Regularization via Residual Smoothing in Deep Learning Optimization

Junseok Kwon, Byung-Woo Hong, Junghee Cho, 2019, IEEE Access.

FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems

Byung-Woo Hong, Ganesh Sundaramoorthi, G. Sundaramoorthi, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Integral Invariant Signatures

Stefano Soatto, Byung-Woo Hong, Anthony J. Yezzi, 2004, ECCV.

Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI

Byung-Woo Hong, Hyo-Hun Kim, 2020 .

Entropy-Scale Profiles for Texture Segmentation

Stefano Soatto, Byung-Woo Hong, Kangyu Ni, 2011, SSVM.

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems

Byung-Woo Hong, Hendrik Dirks, Martin Burger, 2016, GCPR.

Integral Invariants and Shape Matching

Daniel Cremers, Stefano Soatto, Byung-Woo Hong, 2006, Statistics and Analysis of Shapes.

Evaluation of Face Recognition System based on Scenarios

Byung-Woo Hong, Sung-Jo Kim, Doo-Lyel Maeng, 2010 .

Stochastic batch size for adaptive regularization in deep network optimization pdf

Stefano Soatto, Byung-Woo Hong, Kensuke Nakamura, 2020, Pattern Recognit..

Detection of Curvilinear Structure via Recursive Anisotropic Diffusion

Byung-Woo Hong, Dongeun Choi, Yeonseok Kim, 2017 .

Feature-based non-rigid volume registration of serial coronary CT angiography

Piotr J. Slomka, Daniel S. Berman, C.-C. Jay Kuo, 2009, Medical Imaging.

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction

Stefano Soatto, Byung-Woo Hong, Alex Wong, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Joint Reconstruction and Registration Using Level Sets: Application to the Computer-Aided Ablation of Atrial Fibrillation

C.-C. Jay Kuo, Sunil Kumar, Jonghye Woo, 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

Segmentation of Left Ventricle in Cardiac Magnetic Resonance Imaging via Region-Dependent Motion Estimation

Byung-Woo Hong, Ja-Keoung Koo, 2016 .

Joint estimation of shape and deformation for the detection of lesions in dynamic contrast-enhanced breast MRI

Byung-Woo Hong, Byung-Woo Hong, 2013, Physics in medicine and biology.

Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks pdf

Stefano Soatto, Byung-Woo Hong, Kensuke Nakamura, 2017, ArXiv.

Fast-convergence superpixel algorithm via an approximate optimization

Byung-Woo Hong, Kensuke Nakamura, Byung-Woo Hong, 2016, J. Electronic Imaging.

Segmentation of Regions of Interest in Mammograms in a Topographic Approach

Byung-Woo Hong, Bong-Soo Sohn, Byung-Woo Hong, 2010, IEEE Transactions on Information Technology in Biomedicine.

Deep Learning Based on Image Decomposition for Restoration of Intrinsic Representation

Byung-Woo Hong, Kensuke Nakamura, Dongeun Choi, 2017 .

Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture

Chan-Gun Lee, Byung-Woo Hong, Youngmin Kim, 2015, IEICE Trans. Inf. Syst..

Hierarchical image segmentation via recursive superpixel with adaptive regularity

Byung-Woo Hong, Kensuke Nakamura, 2017, J. Electronic Imaging.

Multipass Active Contours for an Adaptive Contour Map

Byung-Woo Hong, Kwang Nam Choi, Jeong-Heon Kim, 2013, Sensors.

A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems

Byung-Woo Hong, Ganesh Sundaramoorthi, Zhaojin Lu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-Label Segmentation via Residual-Driven Adaptive Regularization pdf

Stefano Soatto, Byung-Woo Hong, Ja-Keoung Koo, 2017, ArXiv.

Adaptive Weight Decay for Deep Neural Networks

Byung-Woo Hong, Kensuke Nakamura, Byung-Woo Hong, 2019, IEEE Access.

Segmentation of Left Ventricle in Cardiac MRI via Contrast-Invariant Deformable Template

Byung-Woo Hong, Bong-Soo Sohn, Ja-Keoung Koo, 2017 .

An Intrinsic Image Representation and Its Application to Left Ventricle Segmentation in Cardiac MRI Images

Byung-Woo Hong, Rassulzhan Poltayev, Hyo-Hoon Kim, 2014 .

Joint estimation of motion and illumination change in a sequence of images

Byung-Woo Hong, Ja-Keoung Koo, Hyo-Hun Kim, 2015, J. Electronic Imaging.

Curve evolution with a dual shape similarity and its application to segmentation of left ventricle

Piotr J. Slomka, C.-C. Jay Kuo, Jonghye Woo, 2009, Medical Imaging.

Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints

Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi, 2014, IEEE Transactions on Medical Imaging.

Convolutional Neural Networks based on Random Kernels in the Frequency Domain

Bilel Derbel, Byung-Woo Hong, Yuna Han, 2021, 2021 International Conference on Information Networking (ICOIN).

Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification

Byung-Woo Hong, Dahye Kim, Byung-Woo Hong, 2021, IEEE Access.

Deep Learning Based on Fourier Convolutional Neural Network Incorporating Random Kernels

Byung-Woo Hong, Yuna Han, Byung-Woo Hong, 2021, Electronics.

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding pdf

Stefano Soatto, Byung-Woo Hong, Safa Cicek, 2021, BrainLes@MICCAI.

Learning-Rate Annealing Methods for Deep Neural Networks

Bilel Derbel, Byung-Woo Hong, Kensuke Nakamura, 2021, Electronics.

An Adaptive Framework for Learning Unsupervised Depth Completion

Stefano Soatto, Byung-Woo Hong, Xiaohan Fei, 2021, IEEE Robotics and Automation Letters.

Motion Estimation via Scale-Space in Unsupervised Deep Learning

Bilel Derbel, Byung-Woo Hong, Jaehwan Kim, 2021, 2021 International Conference on Information Networking (ICOIN).

Stabilization of generative adversarial networks via noisy scale-space pdf

Byung-Woo Hong, Simon Korman, Kensuke Nakamura, 2021, ArXiv.

Unsupervised Object Segmentation Based on Bi-Partitioning Image Model Integrated with Classification

Byung-Woo Hong, Hyun-Tae Choi, Byung-Woo Hong, 2021, Electronics.

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT.

C.-C. Jay Kuo, Jonghye Woo, Damini Dey, 2009, Medical physics.

Segmentation of mammograms in topographic approach

Byung-Woo Hong, Michael Brady, 2003 .

A Multilabel Texture Segmentation Based on Local Entropy Signature

Byung-Woo Hong, Hyo-Hun Kim, Byung-Woo Hong, 2013 .

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT.

C.-C. Jay Kuo, Jonghye Woo, Damini Dey, 2009, Medical physics.