Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong. "Monitored Distillation for Positive Congrudent Depth Completion". European Conference on Computer Vision (ECCV). 2022. [PDF]

Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong. "Stochastic batch size for adaptive regularization in deep network optimization". Pattern Recognition. 2022. [PDF]

Patrick Martin, Hyobin Kim, Cecilia Lovkvist, Byung-Woo Hong, Kyoung Jae Won. "Vesalius: high-resolution in silico anatomization of spatial transcriptomic data using image analysis". Molecular Systems Biology. 2022. [PDF]

Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong. "Monitored Distillation for Positive Congrudent Depth Completion". arXiv. 2022. [PDF]

Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong. "Regularization in network optimization via trimmed stochastic gradient descent with noisy label". 2022. [PDF]

Dahye Kim, Byung-Woo Hong. "Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks". International Conference on Computer Vision (ICCV). 2021. [PDF]

Alex Wong, Xiaohan Fei, Byung-Woo Hong, and Stefano Soatto. "An Adaptive Framework for Learning Unsupervised Depth Completion". In the Robotics and Automation Letters (RA-L) 2021 and Proceedings of International Conference on Robotics and Automation (ICRA) 2021. [PDF]

Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong. "Small Lesion Segmentation in Brain MRIs with Subpixel Embedding". International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Brain Lesion Workshop 2021.

Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong. "Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks". Neural Networks. 2021. [PDF]

Dahye Kim, Byung-Woo Hong. "Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification". 2021.

Kensuke Nakamura, Bilel Derbel, Kyoung-Jae Won, Byung-Woo Hong. "Learning-Rate Annealing Methods for Deep Neural Networks". 2021.

Yuna Han, Byung-Woo Hong. "Deep Learning Based on Fourier Convolutional Neural Network Incorporating Random Kernels". 2021.

Hyun-Tae Choi, Byung-Woo Hong. "Unsupervised Object Segmentation based on Bi-partitioning Image Model integrated with Classification". 2021.

B. Derbel, G. Pruvost, Byung-Woo Hong. "Enhancing Moea/d with Escape Mechanisms". IEEE Congress on Evolutionary Computation. 2021.

Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong. "Stochastic batch size for adaptive regularization in deep network optimization". arXiv. 2020. [PDF]

Byung-Woo Hong, Jakeoung Koo, Martin Burger, Stefano Soatto. “Adaptive Regularization for Imaging Problems in a Variational Framework“. IEEE Transactions on Image Processing (TIP). 2020. [PDF]

Hyo-Hun Kim, Byung-Woo Hong. "Segmentation Neural Network incorporating Scale-Space in the Application of Cardiac MRI". 2020.

Numonov Sardorbek, Bong-Soo Sohn, Byung-Woo Hong. "Coherence Enhancement based on Recursive Anisotropic Scale-Space with Adaptive Kernels". 2020.

Alex Wong, Byung-Woo Hong, Stefano Soatto. “Bilateral Cyclic Constraint and Adaptive Regularization for Monocular Depth Prediction“. arXiv. 2019. [PDF]

Junghee Cho, Junseok Kwon, Byung-Woo Hong. "Adaptive Regularization via Residual Smoothing in Deep Learning Optimization". arXiv. 2019. [PDF]

Kensuke Nakamura, Byung-Woo Hong. "Adaptive Weight Decay for Deep Neural Networks". arXiv. 2019. [PDF]

Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong. “Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks“. arXiv. 2018. [PDF]

Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong. “Coarse-to-Fine Segmentation With Shape-Tailored Continuum Scale Spaces“. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Hawaii, July. 2017. [PDF]

Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger. “Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems“. German Conference on Pattern Recognition. 2017. [PDF]

Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto. “Adaptive Regularization of Some Inverse Problems in Image Analysis“. arXiv. 2017. [PDF]

Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto. “Multi-Label Segmentation via Residual-Driven Adaptive Regularization“. arXiv. 2017. [PDF]

Kensuke Nakamura, Byung-Woo Hong. “Hierarchical Image Segmentation via Recursive Superpixel with Adaptive Regularity“. Journal of Electronic Imaging. 2017. [PDF]

Ja-Keoung Koo, Bong-Soo Sohn, Byung-Woo Hong. “Segmentation of Left Ventricle in Cardiac MRI via Contrast-Invariant Deformable Template“. Journal of Medical Imaging and Health Informatics. 2017. [PDF]

Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong. “Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces“. arXiv. 2016. [PDF]

Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger. “Adaptive Parameter Balancing for Composite Optimization Problems in Imaging“. arXiv. 2016. [PDF]

Kensuke Nakamura, Byung-Woo Hong. “Fast-convergence superpixel algorithm via an approximate optimization“. Journal of Electronic Imaging. Oct. 2016. [PDF]

Ja-Keoung Koo, Byung-Woo Hong. “Segmentation of Left Ventricle in Cardiac MRI via Region-Dependent Motion Estimation“. Journal of Medical Imaging and Health Informatics. 2016. [PDF]

Ja-Keoung Koo, Hyo-Hun Kim, Byung-Woo Hong. “Joint estimation of motion and illumination change in a sequence of images“. Journal of Electronic Imaging. 24(5). Oct. 2015. [PDF]

Byung-Woo Hong, Stefano Soatto. “Shape Matching using Multiscale Integral Invariants“. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Jan. 2015. [PDF]

Ki-Seong Lee, Byung-Woo Hong, Youngmin Kim, Jaeyeop Ahn, Chan-Gun Lee. “Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture“. March. 2015. [PDF]

Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony Yezzi. “Tracking via Motion Esimation with Physically Motivated Inter-Region Constraints“. IEEE Transactions on Medical Imaging (TMI). 2014. [PDF]

Byung-Woo Hong, Ganesh Sundaramoorthi. “Fast Label: Easy and Efficient Optimization of Joint Multi-Label and Estimation Problems“. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Columbia, Ohio, Jun. 2014. [PDF]

Young-Woo Kim, Byung-Woo Hong, Seung-Ja Kim, Jong-Hyo Kim. “A Population-based Tissue Probability Map-Driven Level Set Method for Fully Automated Mammographic Density Estimations“. Medical Physics. 2014. [PDF]

Sun Jin Lee, Semin Chong, Kyungho Kang, Joonho Hur, Byung-Woo Hong, Hyun Jung Kim, Soo Jin Kim. “Semi-automated thyroid volumetry using three-dimensional computed tomography: Prospective comparative study of thyroid volumes measured by two-dimensional ultrasonography, two-dimensional computed tomography and specimen“. American Journal of Roentgenology. 2014. [PDF]

Hyo-Hoon Kim, Byung-Woo Hong. “An Intrinsic Image Representation and its Application to Left Ventricle Segmentation in Cardiac MRI Images“. Journal of Medical Imaging and Health Informatics. 2014. [PDF]

Byung-Woo Hong, Zhaojin Lu, and Ganesh Sundaramoorthi. “A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems“. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Portland, Oregon, Jun. 2013. [PDF]

Jonghye Woo, Piotr J. Slomka, C.-C. Jay Kuo, Byung-Woo Hong. “Multiphase Segmentation using an Implicit Dual Shape Prior: Application to Detection of Left Ventricle in Cardiac MRI“. Computer Vision and Image Understanding (CVIU). [PDF]

Byung-Woo Hong. “Joint Estimation of Shape and Deformation for the Detection of Lesions in Dynamic Contrast-Enhanced Breast MRI“. Physics in Medicine and Biology (PMB). vol 58, 2013. [PDF]

Bo-Young Park, Hyo-Hun Kim, Byung-Woo Hong. “A Multilabel Texture Segmentation Based on Local Entropy Signature“. Mathematical Problems in Engineering. vol 2013, 2013. [PDF]

Jeong Heon Kim, Bo-Young Park, Farhan Akram, Byung-Woo Hong, Kwang Nam Choi. “Multipass Active Contours for an Adaptive Contour Map“. Sensors. vol 13, 2013. [PDF]

Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony Yezzi. “Motion and Deformation Estimation from Medical Imagery by Modeling Sub-Structure Interaction and Constraints“. Computational Representation of Objects in Images (CompImage). Rome, 2012. [PDF]

B.-W. Hong, K. Ni, and S. Soatto. “Entropy-scale Profiles for Texture Segmentation“. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). Israel, May. 2011. [PDF]

Jonghye Woo, Damini Dey, Victor Cheng, Byung-Woo Hong, Amit Ramesh, Ganesh Sundaramoorthi, Ryo Nakazato, Daniel Berman, Guido Germano, C.-C. Jay Kuo, and Piotr Slomka. “Nonlinear Registration of Serial Coronary CT Angiography (CCTA) for Assessment of Changes in Atherosclerotic Plaque“. Medical Physics, 2010. [PDF]

Jonghye Woo, Piotr Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel Berman, C.-C. Jay Kuo, Guido Germano. “Geometric Feature-based Multi-modal Image Registration of Contrast-enhanced Cardiac CT with Gated Myocardial Perfusion SPECT“. Medical Physics, 2010. [PDF]

B.-W. Hong, and B.-S. Sohn. “Segmentation of Regions of Interest in Mammograms in a Topographic Approach“. IEEE Transactions on Information Technology in BioMedicine. 2010. [PDF]

Jonghye Woo, Piotr Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel Berman, C.-C. Jay Kuo, Guido Germano. “Automated multi-modality registration of 64-slice coronary ct angiography with myocardial perfusion spect“. IEEE International Symposium on Biomedical Imaging (ISBI). Boston, Massachusetts, Jun., 2009. [PDF]

K. Ni, B.-W. Hong, S. Soatto, and T. Chan. “Unsupervised Multiphase Segmentation: a Recursive Approach“. Computer Vision and Image Understanding (CVIU). 2009. [PDF]

B.-W. Hong, S. Soatto, and L. Vese. “Enforcing Local Context into Shape Statistics“. Advances in Computational Mathematics. 2009. [PDF]

J.-H. Woo, B.-W. Hong, D. Dey, G. Sundaramoorthi, A. Ramesh, G. Germano, V. Cheng, J. Kuo, and P. Slomka. “Feature-based Non-rigid Volumne Registration of Serial Coronary CT Angiography (CCTA)“. SPIE Symposium on Medical Imaging. Lake Buena Vista, Florida, Feb., 2009. [PDF]

J.-H. Woo, B.-W. Hong, A. Ramesh, J. Kuo, and P. Slomka. “Curve Evolution with a dual shape similarity and its application to segmentation of left ventricle“. SPIE Symposium on Medical Imaging. Lake Buena Vista, Florida, Feb., 2009. [PDF]

J.-H. Woo, B.-W. Hong, C.-H. Hu, K. Shung, and J. Kuo. “Non-rigid Ultrasound Image Registration Based on Intensity and Local Phase Information“. Journal of Signal Processing Systems. 2009. [PDF]

B.-W. Hong, K. Ni, and S. Soatto. “Scale of Texture and its Application to Segmentation“. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, Alaska, Jun. 2008. [PDF]

S. Thiruvenkadam, T. Chan, and B.-W. Hong. “Segmentation under Occlusions using Selective Shape Prior“. SIAM Journal on Imaging Sciences (SIAM JIS). 2008. [PDF]

M. Mellor, B.-W. Hong, and M. Brady. “Locally rotation, contrast and scale invariant descriptors for texture analysis“. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). vol. 30, no. 1, 2008. [PDF]

J.-H. Woo, B.-W. Hong, S. Kumar, I. B. Ray, and C.-C. J. Kuo. “Multi-modal Data Integration for ComputerAided Ablation of Atrial Fibrillation“. Journal of Biomedicine and Biotechnology. 2008. [PDF]

J.-H. Woo, B.-W. Hong, S. Kumar, I. B. Ray, and C.-C. J. Kuo. “Reconstruction incorporating Shape Prior for Computer-Aided Ablation of Atrial Fibrillation“. International Conference on Frontiers in the Convergence of Bioscience and Information Technologies. Jeju, Korea, Oct. 2007. [PDF]

T. Chan, S. Thiruvenkadam, and B.-W. Hong. “Segmentation under Occlusions using Selective Shape Prior“. Scale Space Variational Methods (SSVM). Ischia, Italy, May. 2007. [PDF]

S. Manay, D. Cremers, B.-W. Hong, A. Yezzi, and S. Soatto. “Shape Matching via Integral Invariants“. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). vol. 28, no. 10, 2006. [PDF]

B.-W. Hong, E. Prados, L. Vese, and S. Soatto. “Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation“. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, Jun. 2006. [PDF]

S. Manay, B.-W. Hong, D. Cremers, A. Yezzi, and S. Soatto. “Integral Invariants and Shape Matching“. Book Chapter: Statistics and Analysis of Shapes. Hamid Krim and Anthony Yezzi (Eds.) 2006. [PDF]

B.-W. Hong, and M. Brady. “Structural Comparison of Mammogram Pairs“. British Machine Vision Conference (BMVC). Oxford, Sep. 2005. [PDF]

B.-W. Hong, M. Mellor, S. Soatto, and M. Brady. “Combining Topological and Geometric Features of Mammograms to Detect Masses“. Medical Image Understanding and Analysis (MIUA). London, Sep. 2004. [PDF]

S. Manay, B.-W. Hong, A. Yezzi, and S. Soatto. “Integral Invariant Signatures“. European Conference on Computer Vision (ECCV). Prague, May. 2004. [PDF]

B.-W. Hong, and M. Brady. “A Topographic Representation for Mammogram Segmentation“. Medical Image Computing and Computer Assisted Intervention (MICCAI). Montreal. Nov. 2003. [PDF]

B.-W. Hong, and M. Brady. “Segmentation of Mammograms in Topographic Approach“. IEE International Conference on Visual Information Engineering. Guildford. Jul. 2003. [PDF]