Automatic Generation of Subdivision Surface Head Models from Point Cloud Data. - Won-Ki Jeong; Kolja Kähler; Jörg Haber; Hans-Peter Seidel (Graphics Interface, 2002)

Subdivision Surface Simplification. - Won-Ki Jeong; Kolja Kähler; Hans-Peter Seidel (PG, 2002)

Direct Reconstruction of a Displaced Subdivision Surface from Unorganized Points. - Won-Ki Jeong; Chang-Hun Kim (Graph. Model., 2002)

Neural Meshes: Statistical Learning Based on Normals. - Won-Ki Jeong; Ioannis P. Ivrissimtzis; Hans-Peter Seidel (PG, 2003)

Using Growing Cell Structures for Surface Reconstruction. - Ioannis P. Ivrissimtzis; Won-Ki Jeong; Hans-Peter Seidel (Shape Modeling International, 2003)

Neural Mesh Ensembles. - Ioannis P. Ivrissimtzis; Yunjin Lee; Seungyong Lee 001; Won-Ki Jeong; Hans-Peter Seidel (3DPVT, 2004)

Interactive 3D seismic fault detection on the Graphics Hardware. - Won-Ki Jeong; Ross T. Whitaker; Mark Dobin (VG@SIGGRAPH, 2006)

A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI. - P. Thomas Fletcher; Ran Tao 011; Won-Ki Jeong; Ross T. Whitaker (IPMI, 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 011; Ross T. Whitaker (IEEE Trans. Vis. Comput. Graph., 2007)

Anisotropic geodesic distance computation for parametric surfaces. - Joon-Kyung Seong; Won-Ki Jeong; Elaine Cohen (Shape Modeling International, 2008)

A Fast Iterative Method for Eikonal Equations. - Won-Ki Jeong; Ross T. Whitaker (SIAM J. Sci. Comput., 2008)

Interactive Three-Dimensional Image Analysis and Visualization Using Graphics Hardware. - Won-Ki Jeong (2008)

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)

Curvature-based anisotropic geodesic distance computation for parametric and implicit surfaces. - Joon-Kyung Seong; Won-Ki Jeong; Elaine Cohen (Vis. Comput., 2009)

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)

Interactive Histology of Large-Scale Biomedical Image Stacks. - Won-Ki Jeong; Jens Schneider 002; Stephen G. Turney; Beverly E. Faulkner-Jones; Dominik Meyer; Rüdiger Westermann; R. Clay Reid; Jeff Lichtman; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2010)

Display-aware image editing. - Won-Ki Jeong; Micah K. Johnson; Insu Yu; Jan Kautz; Hanspeter Pfister; Sylvain Paris (ICCP, 2011)

Distributed terascale volume visualization using distributed shared virtual memory. - Johanna Beyer; Markus Hadwiger; Jens Schneider 002; Won-Ki Jeong; Hanspeter Pfister (LDAV, 2011)

Neural Process Reconstruction from Sparse User Scribbles. - Mike Roberts 001; Won-Ki Jeong; Amelio Vázquez Reina; Markus Unger; Horst Bischof; Jeff Lichtman; Hanspeter Pfister (MICCAI (1), 2011)

Demand-driven volume rendering of terascale EM data. - Johanna Beyer; Markus Hadwiger; Won-Ki Jeong; Hanspeter Pfister; Jeff Lichtman (SIGGRAPH Talks, 2011)

Interactive large-scale image editing using operator reduction. - Manhee Lee; Won-Ki Jeong; Hanspeter Pfister (SIGGRAPH Asia Posters, 2011)

The connectome project: discovering the wiring of the brain. - Amelio Vázquez Reina; Won-Ki Jeong; Jeff Lichtman; Hanspeter Pfister (XRDS, 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)

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)

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)

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)

A Collaborative Digital Pathology System for Multi-Touch Mobile and Desktop Computing Platforms. - Won-Ki Jeong; Jens Schneider 002; 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)

A fast mixed-band lifting wavelet transform on the GPU. - Tran Minh Quan; Won-Ki Jeong (ICIP, 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)

Vispark: GPU-accelerated distributed visual computing using spark. - Woohyuk Choi; Won-Ki Jeong (LDAV, 2015)

Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. - Tran Minh Quan; Sohyun Han; Hyungjoon Cho; Won-Ki Jeong (MICCAI (3), 2015)

Exploiting Massive Parallelism for IndexingMulti-Dimensional Datasets on the GPU. - Jinwoong Kim; Won-Ki Jeong; Beomseok Nam (IEEE Trans. Parallel Distributed Syst., 2015)

A Multi-GPU Fast Iterative Method for Eikonal Equations Using On-the-fly Adaptive Domain Decomposition. - Sumin Hong; Won-Ki Jeong (ICCS, 2016)

Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. - Tran Minh Quan; Won-Ki Jeong (ISBI, 2016)

Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. - Tran Minh Quan; Won-Ki Jeong (MICCAI (3), 2016)

Vispark: GPU-Accelerated Distributed Visual COmputing Using Spark. - Woohyuk Choi; Sumin Hong; Won-Ki Jeong (SIAM J. Sci. Comput., 2016)

A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs. - Tran Minh Quan; Won-Ki Jeong (IEEE Trans. Parallel Distributed Syst., 2016)

GPU in-memory processing using Spark for iterative computation. - Sumin Hong; Woohyuk Choi; Won-Ki Jeong (CCGrid, 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 001; Won-Ki Jeong (DLMIA/ML-CDS@MICCAI, 2017)

Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. - Tran Minh Quan; Thanh Nguyen-Duc; Won-Ki Jeong (CoRR, 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; et al. (Nat., 2017)

A Group-Ordered Fast Iterative Method for Eikonal Equations. - Sumin Hong; Won-Ki Jeong (IEEE Trans. Parallel Distributed Syst., 2017)

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. - Thanh Nguyen-Duc; Won-Ki Jeong (ISBI, 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 (MICCAI (2), 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)

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)

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 001; Won-Ki Jeong (ICCV Workshops, 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 001; Won-Ki Jeong (ISBI, 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 (IEEE VIS (Short Papers), 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)

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)

Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency. - Hyeonsoo Lee; Won-Ki Jeong (MICCAI (1), 2020)

Reinforced Coloring for End-to-End Instance Segmentation. - Tuan Tran Anh; Khoa Nguyen-Tuan; Tran Minh Quan; Won-Ki Jeong (CoRR, 2020)

ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. - Tuan Tran Anh; Khoa Nguyen-Tuan; Tran Minh Quan; Won-Ki Jeong (CVPR, 2021)

DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles. - Sungduk Cho; Hyungjoon Jang; Jing Wei Tan; Won-Ki Jeong (ISBI, 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 (ISBI, 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 (ISBI, 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)

RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation. - Khoa Tuan Nguyen; Ganghee Jang; Won-Ki Jeong (CoRR, 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)

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)

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)

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; et al. (BMC Medical Informatics Decis. Mak., 2021)

ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. - Kanggeun Lee; Won-Ki Jeong (IEEE Trans. Medical Imaging, 2021)

Distributed Interactive Visualization Using GPU-Optimized Spark. - Sumin Hong; Junyoung Choi; Won-Ki Jeong (IEEE Trans. Vis. Comput. Graph., 2021)

Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization. - Hyun-Jic Oh; Kanggeun Lee; Won-Ki Jeong (ISBI, 2022)

HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets. - Junyoung Choi; Haejin Jeong; Won-Ki Jeong (VR Workshops, 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 003; MyoungGon Kim; Jae-Won Lee; Hyechan Lee; JungHyun Han (VRST, 2022)

Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture. - Kanggeun Lee; Won-Ki Jeong (Sensors, 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)

Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data. - Suemin Jeon; Kanggeun Lee; Won-Ki Jeong (ISBI, 2023)

CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. - Seonghui Min; Won-Ki Jeong (ISBI, 2023)

Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation. - Seungkyu Kim; Hyun-Jic Oh; Seonghui Min; Won-Ki Jeong (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. - Kyungryun Lee; Won-Ki Jeong (DGM4MICCAI, 2023)

DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. - Hyun-Jic Oh; Won-Ki Jeong (MICCAI (3), 2023)

Histopathology Image Classification Using Deep Manifold Contrastive Learning. - Jing Wei Tan; Won-Ki Jeong (MICCAI (6), 2023)

Multi-scale contrastive learning with attention for histopathology image classification. - Jing Wei Tan; Khoa Tuan Nguyen; Kyoungbun Lee; Won-Ki Jeong (Digital and Computational Pathology, 2023)

Dimensionality Explorer for Single-Cell Analysis. - Haejin Jeong; Hyoung-oh Jeong; Semin Lee; Won-Ki Jeong (PacificVis, 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)

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)

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 002; Won-Ki Jeong; Semin Lee (Briefings Bioinform., 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; et al. (Medical Image Anal., 2023)

Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model. - Seonghui Min; Hyun-Jic Oh; Won-Ki Jeong (ECCV (13), 2024)

Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior. - Kyungryun Lee; Won-Ki Jeong (MICCAI (7), 2024)

Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models. - Hyun-Jic Oh; Won-Ki Jeong (MICCAI (4), 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 (MICCAI (4), 2024)

Intuitive Design of Deep Learning Models through Visual Feedback. - Junyoung Choi; Sohee Park; GaYeon Koh; Youngseo Kim; Won-Ki Jeong (IEEE VIS, 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., 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, 2024)

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification. - GaYeon Koh; Hyun-Jic Oh; Jeonghyun Noh; Won-Ki Jeong (CVPR Workshops, 2025)

S2L-CM: Scribble-supervised nuclei segmentation in histopathology images using contrastive regularization and pixel-level multiple instance learning. - Hyun-Jic Oh; Seonghui Min; Won-Ki Jeong (Comput. Biol. Medicine, 2025)

MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations. - Hyunsoo Son; Jeonghyun Noh; Suemin Jeon; Chaoli Wang 001; Won-Ki Jeong (CoRR, 2025)

XROps: A Visual Workflow Management System for Dynamic Immersive Analytics. - Suemin Jeon; Junyoung Choi; Haejin Jeong; Won-Ki Jeong (CoRR, 2025)

WISE-FUSE: Efficient Whole Slide Image Encoding via Coarse-to-Fine Patch Selection with VLM and LLM Knowledge Fusion. - Yonghan Shin; SeungKyu Kim; Won-Ki Jeong (CoRR, 2025)