Won-Ki Jeong

According to our database, Won-Ki Jeong authored at least 89 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity.

Yoon Kyoung Choi, Linqing Feng, Won-Ki Jeong, Jinhyun Kim

Brain Informatics, December, 2024

MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis.

Junyoung Choi, Hyun-Jic Oh, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong

IEEE Trans. Vis. Comput. Graph., July, 2024

Intuitive Design of Deep Learning Models through Visual Feedback.

Junyoung Choi, Sohee Park, GaYeon Koh, Youngseo Kim, Won-Ki Jeong

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Clinical-Grade Multi-organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model.

Jing Wei Tan, SeungKyu Kim, Eunsu Kim, Sung Hak Lee, Sangjeong Ahn, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models.

Hyun-Jic Oh, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior.

Kyungryun Lee, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model.

Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

PAIP 2020: Microsatellite instability prediction in colorectal cancer.

Kyungmo Kim, Kyoungbun Lee, Sungduk Cho, Dong Un Kang, Seongkeun Park, Yunsook Kang, Hyunjeong Kim, Gheeyoung Choe, Kyung Chul Moon, Kyu Sang Lee, Jeong Hwan Park, Choyeon Hong, Ramin Nateghi, Fattaneh Pourakpour, Xiyue Wang, Sen Yang, Seyed Alireza Fatemi Jahromi, Aliasghar Khani, Hwa-Rang Kim, Doo-Hyun Choi, Chang Hee Han, Jin Tae Kwak, Fan Zhang, Bing Han, David Joon Ho, Gyeong Hoon Kang, Se Young Chun, Won-Ki Jeong, Peom Park, Jinwook Choi

Medical Image Anal., October, 2023

RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction.

Kanggeun Lee, Dongbin Cho, Jinho Jang, Kang Choi, Hyoung-oh Jeong, Jiwon Seo, Won-Ki Jeong, Semin Lee

Briefings Bioinform., January, 2023

DXplorer: A Unified Visualization Framework for Interactive Dendritic Spine Analysis Using 3D Morphological Features.

Junyoung Choi, Sang-Eun Lee, YeIn Lee, Eunji Cho, Sunghoe Chang, Won-Ki Jeong

IEEE Trans. Vis. Comput. Graph., 2023

I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images.

Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong

CoRR, 2023

Dimensionality Explorer for Single-Cell Analysis.

Haejin Jeong, Hyoung-oh Jeong, Semin Lee, Won-Ki Jeong

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Multi-scale contrastive learning with attention for histopathology image classification.

Jing Wei Tan, Khoa Tuan Nguyen, Kyoungbun Lee, Won-Ki Jeong

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Histopathology Image Classification Using Deep Manifold Contrastive Learning.

Jing Wei Tan, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets.

Hyun-Jic Oh, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models.

Kyungryun Lee, Won-Ki Jeong

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation.

Seungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement.

Seonghui Min, Won-Ki Jeong

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data.

Suemin Jeon, Kanggeun Lee, Won-Ki Jeong

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

MG-FIM: A Multi-GPU Fast Iterative Method Using Adaptive Domain Decomposition.

Sumin Hong, Ganghee Jang, Won-Ki Jeong

SIAM J. Sci. Comput., 2022

Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture.

Kanggeun Lee, Won-Ki Jeong

Sensors, 2022

Virtual Air Conditioner's Airflow Simulation and Visualization in AR.

Joohwan Chae, Donghan Kim, Woo Seok Jeong, Eunchan Jo, Won-Ki Jeong, Junyoung Choi, Seung-wook Kim, MyoungGon Kim, Jae-Won Lee, Hyechan Lee, JungHyun Han

Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology, 2022

HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets.

Junyoung Choi, Haejin Jeong, Won-Ki Jeong

Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization.

Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Distributed Interactive Visualization Using GPU-Optimized Spark.

Sumin Hong, Junyoung Choi, Won-Ki Jeong

IEEE Trans. Vis. Comput. Graph., 2021

ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising.

Kanggeun Lee, Won-Ki Jeong

IEEE Trans. Medical Imaging, 2021

Development and operation of a digital platform for sharing pathology image data.

Yunsook Kang, Yoo Jung Kim, Seongkeun Park, Gun Ro, Choyeon Hong, Hyungjoon Jang, Sungduk Cho, Wonjae Hong, Dong Un Kang, Jonghoon Chun, Kyoungbun Lee, Gyeong Hoon Kang, Kyoung Chul Moon, Gheeyoung Choe, Kyu Sang Lee, Jeong Hwan Park, Won-Ki Jeong, Se Young Chun, Peom Park, Jinwook Choi

BMC Medical Informatics Decis. Mak., 2021

DeepHCS++: Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening.

Gyuhyun Lee, Jeong-Woo Oh, Nam-Gu Her, Won-Ki Jeong

Medical Image Anal., 2021

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics.

Tran Minh Quan, David Grant Colburn Hildebrand, Won-Ki Jeong

Frontiers Comput. Sci., 2021

MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis.

Junyoung Choi, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong

CoRR, 2021

RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation.

Khoa Tuan Nguyen, Ganghee Jang, Won-Ki Jeong

CoRR, 2021

ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images.

Junyoung Choi, David Grant Colburn Hildebrand, Jungmin Moon, Tran Minh Quan, Tuan Tran Anh, Sungahn Ko, Won-Ki Jeong

IEEE Access, 2021

Improving the Accuracy of Intrahepatic Cholangiocarcinoma Subtype Classification by Hidden Class Detection via Label Smoothing.

Jing Wei Tan, Kanggeun Lee, Kyoungbun Lee, Won-Ki Jeong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Neuron Segmentation using Incomplete and Noisy Labels via Adaptive Learning with Structure Priors.

Chanmin Park, Kanggeun Lee, Suyeon Kim, Fatma Sema Canbakis Cecen, Seok-Kyu Kwon, Won-Ki Jeong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles.

Sungduk Cho, Hyungjoon Jang, Jing Wei Tan, Won-Ki Jeong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

ColorRL: Reinforced Coloring for End-to-End Instance Segmentation.

Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Reinforced Coloring for End-to-End Instance Segmentation.

Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong

CoRR, 2020

Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency.

Hyeonsoo Lee, Won-Ki Jeong

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

2019

DXR: A Toolkit for Building Immersive Data Visualizations.

Ronell Sicat, Jiabao Li, Junyoung Choi, Maxime Cordeil, Won-Ki Jeong, Benjamin Bach, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2019

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.

Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong

Medical Image Anal., 2019

Interactive Dendritic Spine Analysis Based on 3D Morphological Features.

Junyoung Choi, Sang-Eun Lee, Eunji Cho, Yutaro Kashiwagi, Shigeo Okabe, Sunghoe Chang, Won-Ki Jeong

Proceedings of the 30th IEEE Visualization Conference, 2019

Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation.

Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Lee, Won-Ki Jeong

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data.

Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong

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

2018

An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding.

Tran Minh Quan, Junyoung Choi, Haejin Jeong, Won-Ki Jeong

IEEE Trans. Vis. Comput. Graph., 2018

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.

Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong

IEEE Trans. Medical Imaging, 2018

DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening.

Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization.

Thanh Nguyen-Duc, Won-Ki Jeong

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

A Group-Ordered Fast Iterative Method for Eikonal Equations.

Sumin Hong, Won-Ki Jeong

IEEE Trans. Parallel Distributed Syst., 2017

Whole-brain serial-section electron microscopy in larval zebrafish.

David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert

Nat., 2017

Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.

Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong

CoRR, 2017

ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features.

Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

GPU in-memory processing using Spark for iterative computation.

Sumin Hong, Woohyuk Choi, Won-Ki Jeong

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs.

Tran Minh Quan, Won-Ki Jeong

IEEE Trans. Parallel Distributed Syst., 2016

Vispark: GPU-Accelerated Distributed Visual COmputing Using Spark.

Woohyuk Choi, Sumin Hong, Won-Ki Jeong

SIAM J. Sci. Comput., 2016

Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding.

Tran Minh Quan, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding.

Tran Minh Quan, Won-Ki Jeong

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A Multi-GPU Fast Iterative Method for Eikonal Equations Using On-the-fly Adaptive Domain Decomposition.

Sumin Hong, Won-Ki Jeong

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Exploiting Massive Parallelism for IndexingMulti-Dimensional Datasets on the GPU.

Jinwoong Kim, Won-Ki Jeong, Beomseok Nam

IEEE Trans. Parallel Distributed Syst., 2015

Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI.

Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Vispark: GPU-accelerated distributed visual computing using spark.

Woohyuk Choi, Won-Ki Jeong

Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

2014

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems.

Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Won-Ki Jeong

IEEE Trans. Vis. Comput. Graph., 2014

A fast mixed-band lifting wavelet transform on the GPU.

Tran Minh Quan, Won-Ki Jeong

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

A Collaborative Digital Pathology System for Multi-Touch Mobile and Desktop Computing Platforms.

Won-Ki Jeong, Jens Schneider, Axel Hansen, Manhee Lee, Stephen G. Turney, Beverly E. Faulkner-Jones, Jonathan L. Hecht, R. Najarian, Eric Yee, Jeff W. Lichtman, Hanspeter Pfister

Comput. Graph. Forum, 2013

Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams.

Johanna Beyer, Markus Hadwiger, Ali K. Al-Awami, Won-Ki Jeong, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister

IEEE Computer Graphics and Applications, 2013

2012

Interactive Volume Exploration of Petascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach.

Markus Hadwiger, Johanna Beyer, Won-Ki Jeong, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2012

2011

A Fast Iterative Method for Solving the Eikonal Equation on Triangulated Surfaces.

Zhisong Fu, Won-Ki Jeong, Yongsheng Pan, Robert M. Kirby, Ross T. Whitaker

SIAM J. Sci. Comput., 2011

Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation.

Yongsheng Pan, Won-Ki Jeong, Ross T. Whitaker

Comput. Vis. Image Underst., 2011

The connectome project: discovering the wiring of the brain.

Amelio Vázquez Reina, Won-Ki Jeong, Jeff Lichtman, Hanspeter Pfister

XRDS, 2011

Interactive large-scale image editing using operator reduction.

Manhee Lee, Won-Ki Jeong, Hanspeter Pfister

Proceedings of the SIGGRAPH Asia 2011 Posters, Hong Kong, December 12-15, 2011, 2011

Demand-driven volume rendering of terascale EM data.

Johanna Beyer, Markus Hadwiger, Won-Ki Jeong, Hanspeter Pfister, Jeff Lichtman

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011

Neural Process Reconstruction from Sparse User Scribbles.

Mike Roberts, Won-Ki Jeong, Amelio Vázquez Reina, Markus Unger, Horst Bischof, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Distributed terascale volume visualization using distributed shared virtual memory.

Johanna Beyer, Markus Hadwiger, Jens Schneider, Won-Ki Jeong, Hanspeter Pfister

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Display-aware image editing.

Won-Ki Jeong, Micah K. Johnson, Insu Yu, Jan Kautz, Hanspeter Pfister, Sylvain Paris

Proceedings of the 2011 IEEE International Conference on Computational Photography, 2011

2010

Interactive Histology of Large-Scale Biomedical Image Stacks.

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rüdiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2010

Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets.

Won-Ki Jeong, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vázquez Reina, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

IEEE Computer Graphics and Applications, 2010

2009

Curvature-based anisotropic geodesic distance computation for parametric and implicit surfaces.

Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen

Vis. Comput., 2009

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets.

Won-Ki Jeong, Johanna Beyer, Markus Hadwiger, Amelio Vázquez Reina, Hanspeter Pfister, Ross T. Whitaker

IEEE Trans. Vis. Comput. Graph., 2009

2008

Interactive Three-Dimensional Image Analysis and Visualization Using Graphics Hardware.

Won-Ki Jeong

PhD thesis, 2008

A Fast Iterative Method for Eikonal Equations.

Won-Ki Jeong, Ross T. Whitaker

SIAM J. Sci. Comput., 2008

Anisotropic geodesic distance computation for parametric surfaces.

Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen

Proceedings of the 2008 International Conference on Shape Modeling and Applications (SMI 2008), 2008

2007

Interactive Visualization of Volumetric White Matter Connectivity in DT-MRI Using a Parallel-Hardware Hamilton-Jacobi Solver.

Won-Ki Jeong, P. Thomas Fletcher, Ran Tao, Ross T. Whitaker

IEEE Trans. Vis. Comput. Graph., 2007

A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI.

P. Thomas Fletcher, Ran Tao, Won-Ki Jeong, Ross T. Whitaker

Proceedings of the Information Processing in Medical Imaging, 2007

2006

Interactive 3D seismic fault detection on the Graphics Hardware.

Won-Ki Jeong, Ross T. Whitaker, Mark Dobin

Proceedings of the 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, 2006

2004

Neural Mesh Ensembles.

Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee, Won-Ki Jeong, Hans-Peter Seidel

Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

2003

Using Growing Cell Structures for Surface Reconstruction.

Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter Seidel

Proceedings of the 2003 International Conference on Shape Modeling and Applications (SMI 2003), 2003

Neural Meshes: Statistical Learning Based on Normals.

Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter Seidel

Proceedings of the 11th Pacific Conference on Computer Graphics and Applications, 2003

2002

Direct Reconstruction of a Displaced Subdivision Surface from Unorganized Points.

Won-Ki Jeong, Chang-Hun Kim

Graph. Model., 2002

Subdivision Surface Simplification.

Won-Ki Jeong, Kolja Kähler, Hans-Peter Seidel

Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, 2002

Automatic Generation of Subdivision Surface Head Models from Point Cloud Data.

Won-Ki Jeong, Kolja Kähler, Jörg Haber, Hans-Peter Seidel

Proceedings of the Graphics Interface 2002 Conference, 2002