Won-Ki Jeong

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 67

Top Topics

Electron Microscopy

Diffusion Models

Image Segmentation

Top Venues

IEEE Trans. Vis. Comput. Graph.

Medical Image Anal.

Publications

Junyoung Choi, Hyun-Jic Oh, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong
MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model. CoRR (2024)
Yoon Kyoung Choi, Linqing Feng, Won-Ki Jeong, Jinhyun Kim
Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity. Brain Informatics 11 (1) (2024)
Hyun-Jic Oh, Won-Ki Jeong
Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models. CoRR (2024)
Kyungryun Lee, Won-Ki Jeong
Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. DGM4MICCAI (2023)
Kanggeun Lee, Dongbin Cho, Jinho Jang, Kang Choi, Hyoung-oh Jeong, Jiwon Seo, Won-Ki Jeong, Semin Lee
RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction. Briefings Bioinform. 24 (1) (2023)
Seonghui Min, Won-Ki Jeong
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. CoRR (2023)
Hyun-Jic Oh, Won-Ki Jeong
DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. MICCAI (3) (2023)
Seonghui Min, Won-Ki Jeong
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. ISBI (2023)
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
PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 89 (2023)
Seungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong
Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Hyun-Jic Oh, Won-Ki Jeong
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. CoRR (2023)
Kyungryun Lee, Won-Ki Jeong
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models. CoRR (2023)
Junyoung Choi, Sang-Eun Lee, YeIn Lee, Eunji Cho, Sunghoe Chang, Won-Ki Jeong
DXplorer: A Unified Visualization Framework for Interactive Dendritic Spine Analysis Using 3D Morphological Features. IEEE Trans. Vis. Comput. Graph. 29 (2) (2023)
Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization. CoRR (2023)
Jing Wei Tan, Won-Ki Jeong
Histopathology Image Classification Using Deep Manifold Contrastive Learning. MICCAI (6) (2023)
Seungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong
Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentation. CoRR (2023)
Haejin Jeong, Hyoung-oh Jeong, Semin Lee, Won-Ki Jeong
Dimensionality Explorer for Single-Cell Analysis. PacificVis (2023)
Jing Wei Tan, Won-Ki Jeong
Histopathology Image Classification using Deep Manifold Contrastive Learning. CoRR (2023)
Suemin Jeon, Kanggeun Lee, Won-Ki Jeong
Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data. ISBI (2023)
Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong
I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images. CoRR (2023)
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
Virtual Air Conditioner's Airflow Simulation and Visualization in AR. VRST (2022)
Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong
Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization. ISBI (2022)
Junyoung Choi, Haejin Jeong, Won-Ki Jeong
HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets. VR Workshops (2022)
Kanggeun Lee, Won-Ki Jeong
Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture. Sensors 22 (11) (2022)
Sumin Hong, Ganghee Jang, Won-Ki Jeong
MG-FIM: A Multi-GPU Fast Iterative Method Using Adaptive Domain Decomposition. SIAM J. Sci. Comput. 44 (1) (2022)
Jing Wei Tan, Kanggeun Lee, Kyoungbun Lee, Won-Ki Jeong
Improving the Accuracy of Intrahepatic Cholangiocarcinoma Subtype Classification by Hidden Class Detection via Label Smoothing. ISBI (2021)
Khoa Tuan Nguyen, Ganghee Jang, Won-Ki Jeong
RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation. CoRR (2021)
Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. CVPR (2021)
Kanggeun Lee, Won-Ki Jeong
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. IEEE Trans. Medical Imaging 40 (11) (2021)
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
Development and operation of a digital platform for sharing pathology image data. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Sumin Hong, Junyoung Choi, Won-Ki Jeong
Distributed Interactive Visualization Using GPU-Optimized Spark. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Tran Minh Quan, David Grant Colburn Hildebrand, Won-Ki Jeong
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics. Frontiers Comput. Sci. 3 (2021)
Sungduk Cho, Hyungjoon Jang, Jing Wei Tan, Won-Ki Jeong
DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles. ISBI (2021)
Kanggeun Lee, Won-Ki Jeong
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. CoRR (2021)
Gyuhyun Lee, Jeong-Woo Oh, Nam-Gu Her, Won-Ki Jeong
DeepHCS++: Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening. Medical Image Anal. 70 (2021)
Junyoung Choi, David Grant Colburn Hildebrand, Jungmin Moon, Tran Minh Quan, Tuan Tran Anh, Sungahn Ko, Won-Ki Jeong
ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images. IEEE Access 9 (2021)
Junyoung Choi, Hakjun Lee, Su Yeon Kim, Seok-Kyu Kwon, Won-Ki Jeong
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis. CoRR (2021)
Chanmin Park, Kanggeun Lee, Su Yeon Kim, Fatma Sema Canbakis Cecen, Seok-Kyu Kwon, Won-Ki Jeong
Neuron Segmentation using Incomplete and Noisy Labels via Adaptive Learning with Structure Priors. ISBI (2021)
Hyeonsoo Lee, Won-Ki Jeong
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency. MICCAI (1) (2020)
Hyeonsoo Lee, Won-Ki Jeong
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency. CoRR (2020)
Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong
Reinforced Coloring for End-to-End Instance Segmentation. CoRR (2020)
Kanggeun Lee, Won-Ki Jeong
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture. CoRR (2020)
Ronell Sicat, Jiabao Li, Junyoung Choi, Maxime Cordeil, Won-Ki Jeong, Benjamin Bach, Hanspeter Pfister
DXR: A Toolkit for Building Immersive Data Visualizations. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. ICCV Workshops (2019)
Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. ISBI (2019)
Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. Medical Image Anal. 53 (2019)
Junyoung Choi, Sang-Eun Lee, Eunji Cho, Yutaro Kashiwagi, Shigeo Okabe, Sunghoe Chang, Won-Ki Jeong
Interactive Dendritic Spine Analysis Based on 3D Morphological Features. IEEE VIS (Short Papers) (2019)
Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong
DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening. MICCAI (2) (2018)
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss. IEEE Trans. Medical Imaging 37 (6) (2018)
Tran Minh Quan, Junyoung Choi, Haejin Jeong, Won-Ki Jeong
An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Thanh Nguyen-Duc, Won-Ki Jeong
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. ISBI (2018)
Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong
ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features. CoRR (2017)
Sumin Hong, Woohyuk Choi, Won-Ki Jeong
GPU in-memory processing using Spark for iterative computation. CCGrid (2017)
Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong
ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features. DLMIA/ML-CDS@MICCAI (2017)
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
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545 (7654) (2017)
Sumin Hong, Won-Ki Jeong
A Group-Ordered Fast Iterative Method for Eikonal Equations. IEEE Trans. Parallel Distributed Syst. 28 (2) (2017)
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. CoRR (2017)
Tran Minh Quan, David G. C. Hildebrand, Won-Ki Jeong
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics. CoRR (2016)
Tran Minh Quan, Won-Ki Jeong
A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs. IEEE Trans. Parallel Distributed Syst. 27 (11) (2016)
Tran Minh Quan, Won-Ki Jeong
Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. ISBI (2016)
Sumin Hong, Won-Ki Jeong
A Multi-GPU Fast Iterative Method for Eikonal Equations Using On-the-fly Adaptive Domain Decomposition. ICCS (2016)
Tran Minh Quan, Won-Ki Jeong
Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. MICCAI (3) (2016)
Woohyuk Choi, Sumin Hong, Won-Ki Jeong
Vispark: GPU-Accelerated Distributed Visual COmputing Using Spark. SIAM J. Sci. Comput. 38 (5) (2016)
Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. MICCAI (3) (2015)
Jinwoong Kim, Won-Ki Jeong, Beomseok Nam
Exploiting Massive Parallelism for IndexingMulti-Dimensional Datasets on the GPU. IEEE Trans. Parallel Distributed Syst. 26 (8) (2015)
Woohyuk Choi, Won-Ki Jeong
Vispark: GPU-accelerated distributed visual computing using spark. LDAV (2015)
Tran Minh Quan, Won-Ki Jeong
A fast mixed-band lifting wavelet transform on the GPU. ICIP (2014)
Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Won-Ki Jeong
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
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
A Collaborative Digital Pathology System for Multi-Touch Mobile and Desktop Computing Platforms. Comput. Graph. Forum 32 (6) (2013)
Johanna Beyer, Markus Hadwiger, Ali K. Al-Awami, Won-Ki Jeong, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister
Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams. IEEE Computer Graphics and Applications 33 (4) (2013)
Markus Hadwiger, Johanna Beyer, Won-Ki Jeong, Hanspeter Pfister
Interactive Volume Exploration of Petascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach. IEEE Trans. Vis. Comput. Graph. 18 (12) (2012)
Manhee Lee, Won-Ki Jeong, Hanspeter Pfister
Interactive large-scale image editing using operator reduction. SIGGRAPH Asia Posters (2011)
Amelio Vázquez Reina, Won-Ki Jeong, Jeff Lichtman, Hanspeter Pfister
The connectome project: discovering the wiring of the brain. XRDS 18 (1) (2011)
Mike Roberts, Won-Ki Jeong, Amelio Vázquez Reina, Markus Unger, Horst Bischof, Jeff Lichtman, Hanspeter Pfister
Neural Process Reconstruction from Sparse User Scribbles. MICCAI (1) (2011)
Yongsheng Pan, Won-Ki Jeong, Ross T. Whitaker
Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation. Comput. Vis. Image Underst. 115 (10) (2011)
Zhisong Fu, Won-Ki Jeong, Yongsheng Pan, Robert M. Kirby, Ross T. Whitaker
A Fast Iterative Method for Solving the Eikonal Equation on Triangulated Surfaces. SIAM J. Sci. Comput. 33 (5) (2011)
Johanna Beyer, Markus Hadwiger, Won-Ki Jeong, Hanspeter Pfister, Jeff Lichtman
Demand-driven volume rendering of terascale EM data. SIGGRAPH Talks (2011)
Johanna Beyer, Markus Hadwiger, Jens Schneider, Won-Ki Jeong, Hanspeter Pfister
Distributed terascale volume visualization using distributed shared virtual memory. LDAV (2011)
Won-Ki Jeong, Micah K. Johnson, Insu Yu, Jan Kautz, Hanspeter Pfister, Sylvain Paris
Display-aware image editing. ICCP (2011)
Won-Ki Jeong, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vázquez Reina, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister
Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets. IEEE Computer Graphics and Applications 30 (3) (2010)
Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rüdiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister
Interactive Histology of Large-Scale Biomedical Image Stacks. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)
Won-Ki Jeong, Johanna Beyer, Markus Hadwiger, Amelio Vázquez Reina, Hanspeter Pfister, Ross T. Whitaker
Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen
Curvature-based anisotropic geodesic distance computation for parametric and implicit surfaces. Vis. Comput. 25 (8) (2009)
Won-Ki Jeong, Ross T. Whitaker
A Fast Iterative Method for Eikonal Equations. SIAM J. Sci. Comput. 30 (5) (2008)
Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen
Anisotropic geodesic distance computation for parametric surfaces. Shape Modeling International (2008)
P. Thomas Fletcher, Ran Tao, Won-Ki Jeong, Ross T. Whitaker
A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI. IPMI (2007)
Won-Ki Jeong, P. Thomas Fletcher, Ran Tao, Ross T. Whitaker
Interactive Visualization of Volumetric White Matter Connectivity in DT-MRI Using a Parallel-Hardware Hamilton-Jacobi Solver. IEEE Trans. Vis. Comput. Graph. 13 (6) (2007)
Won-Ki Jeong, Ross T. Whitaker, Mark Dobin
Interactive 3D seismic fault detection on the Graphics Hardware. VG@SIGGRAPH (2006)
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee, Won-Ki Jeong, Hans-Peter Seidel
Neural Mesh Ensembles. 3DPVT (2004)
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter Seidel
Neural Meshes: Statistical Learning Based on Normals. PG (2003)
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter Seidel
Using Growing Cell Structures for Surface Reconstruction. Shape Modeling International (2003)
Won-Ki Jeong, Chang-Hun Kim
Direct Reconstruction of a Displaced Subdivision Surface from Unorganized Points. Graph. Model. 64 (2) (2002)
Won-Ki Jeong, Kolja Kähler, Hans-Peter Seidel
Subdivision Surface Simplification. PG (2002)
Won-Ki Jeong, Kolja Kähler, Jörg Haber, Hans-Peter Seidel
Automatic Generation of Subdivision Surface Head Models from Point Cloud Data. Graphics Interface (2002)
Won-Ki Jeong, Chang-Hun Kim
Direct Reconstruction of Displaced Subdivision Surface from Unorganized Points. PG (2001)