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2020 – today
- 2025
[e2]Zhongying Deng
, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang:
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15184, Springer 2025, ISBN 978-3-031-73470-0 [contents]- 2024
- [j36]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): 15 (2024) - [j35]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): 3457-3473 (2024) - [c46]Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong:
Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model. ECCV (13) 2024: 146-162 - [c45]Jing Wei Tan, SeungKyu Kim, Eunsu Kim, Sung Hak Lee, Sangjeong Ahn, Won-Ki Jeong:
Clinical-Grade Multi-organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model. MICCAI (4) 2024: 25-35 - [c44]Hyun-Jic Oh, Won-Ki Jeong:
Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models. MICCAI (4) 2024: 36-46 - [c43]Kyungryun Lee, Won-Ki Jeong:
Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior. MICCAI (7) 2024: 593-602 - [i20]Hyun-Jic Oh, Won-Ki Jeong:
Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models. CoRR abs/2407.14426 (2024) - [i19]Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong:
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model. CoRR abs/2407.14434 (2024) - [i18]Kyungryun Lee, Won-Ki Jeong:
Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior. CoRR abs/2408.08616 (2024) - [i17]Jing Wei Tan, SeungKyu Kim, Eunsu Kim, Sung Hak Lee, Sangjeong Ahn, Won-Ki Jeong:
Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model. CoRR abs/2409.15574 (2024) - 2023
- [j34]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) - [j33]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: 102886 (2023) - [j32]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): 1424-1437 (2023) - [c42]Suemin Jeon, Kanggeun Lee, Won-Ki Jeong:
Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data. ISBI 2023: 1-5 - [c41]Seonghui Min, Won-Ki Jeong:
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. ISBI 2023: 1-5 - [c40]Kyungryun Lee, Won-Ki Jeong:
Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. DGM4MICCAI 2023: 235-245 - [c39]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: 245-255 - [c38]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: 337-345 - [c37]Jing Wei Tan, Won-Ki Jeong:
Histopathology Image Classification Using Deep Manifold Contrastive Learning. MICCAI (6) 2023: 683-692 - [c36]Haejin Jeong, Hyoung-oh Jeong, Semin Lee, Won-Ki Jeong:
Dimensionality Explorer for Single-Cell Analysis. PacificVis 2023: 51-60 - [e1]M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i16]Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong:
I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images. CoRR abs/2302.10523 (2023) - [i15]Hyun-Jic Oh, Won-Ki Jeong:
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. CoRR abs/2306.14132 (2023) - [i14]Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong:
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization. CoRR abs/2306.14136 (2023) - [i13]Jing Wei Tan, Won-Ki Jeong:
Histopathology Image Classification using Deep Manifold Contrastive Learning. CoRR abs/2306.14459 (2023) - [i12]Seonghui Min, Won-Ki Jeong:
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. CoRR abs/2307.01015 (2023) - [i11]Kyungryun Lee, Won-Ki Jeong:
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models. CoRR abs/2308.01594 (2023) - [i10]Seungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong:
Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentation. CoRR abs/2310.10493 (2023) - 2022
- [j31]Kanggeun Lee, Won-Ki Jeong:
Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture. Sensors 22(11): 4255 (2022) - [j30]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): 54- (2022) - [c35]Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong:
Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization. ISBI 2022: 1-5 - [c34]Junyoung Choi, Haejin Jeong, Won-Ki Jeong:
HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets. VR Workshops 2022: 604-605 - [c33]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: 24:1-24:11 - 2021
- [j29]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: 78755-78763 (2021) - [j28]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: 613981 (2021) - [j27]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: 101995 (2021) - [j26]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): 114 (2021) - [j25]Kanggeun Lee, Won-Ki Jeong:
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. IEEE Trans. Medical Imaging 40(11): 3238-3248 (2021) - [j24]Sumin Hong, Junyoung Choi, Won-Ki Jeong:
Distributed Interactive Visualization Using GPU-Optimized Spark. IEEE Trans. Vis. Comput. Graph. 27(9): 3670-3684 (2021) - [c32]Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong:
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. CVPR 2021: 16727-16736 - [c31]Sungduk Cho, Hyungjoon Jang, Jing Wei Tan, Won-Ki Jeong:
DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles. ISBI 2021: 761-765 - [c30]Chanmin Park, Kanggeun Lee, Suyeon 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: 1466-1470 - [c29]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: 1944-1948 - [i9]Kanggeun Lee, Won-Ki Jeong:
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. CoRR abs/2102.09858 (2021) - [i8]Khoa Tuan Nguyen, Ganghee Jang, Won-Ki Jeong:
RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation. CoRR abs/2106.05487 (2021) - [i7]Junyoung Choi, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong:
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis. CoRR abs/2109.01351 (2021) - 2020
- [c28]Hyeonsoo Lee, Won-Ki Jeong:
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency. MICCAI (1) 2020: 14-23 - [i6]Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong:
Reinforced Coloring for End-to-End Instance Segmentation. CoRR abs/2005.07058 (2020) - [i5]Hyeonsoo Lee, Won-Ki Jeong:
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency. CoRR abs/2006.12890 (2020) - [i4]Kanggeun Lee, Won-Ki Jeong:
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture. CoRR abs/2012.03623 (2020)
2010 – 2019
- 2019
- [j23]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: 179-196 (2019) - [j22]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): 715-725 (2019) - [c27]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: 3804-3813 - [c26]Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Lee, Won-Ki Jeong:
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. ISBI 2019: 670-673 - [c25]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: 171-175 - 2018
- [j21]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): 1488-1497 (2018) - [j20]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): 964-973 (2018) - [c24]Thanh Nguyen-Duc, Won-Ki Jeong:
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. ISBI 2018: 332-335 - [c23]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: 335-343 - 2017
- [j19]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): 345-349 (2017) - [j18]Sumin Hong, Won-Ki Jeong:
A Group-Ordered Fast Iterative Method for Eikonal Equations. IEEE Trans. Parallel Distributed Syst. 28(2): 318-331 (2017) - [c22]Sumin Hong, Woohyuk Choi, Won-Ki Jeong:
GPU in-memory processing using Spark for iterative computation. CCGrid 2017: 31-41 - [c21]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: 249-257 - [i3]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 abs/1707.07833 (2017) - [i2]Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong:
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. CoRR abs/1709.00753 (2017) - 2016
- [j17]Woohyuk Choi, Sumin Hong, Won-Ki Jeong:
Vispark: GPU-Accelerated Distributed Visual COmputing Using Spark. SIAM J. Sci. Comput. 38(5) (2016) - [j16]Tran Minh Quan, Won-Ki Jeong:
A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs. IEEE Trans. Parallel Distributed Syst. 27(11): 3088-3100 (2016) - [c20]Sumin Hong, Won-Ki Jeong:
A Multi-GPU Fast Iterative Method for Eikonal Equations Using On-the-fly Adaptive Domain Decomposition. ICCS 2016: 190-200 - [c19]Tran Minh Quan, Won-Ki Jeong:
Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. ISBI 2016: 518-521 - [c18]Tran Minh Quan, Won-Ki Jeong:
Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. MICCAI (3) 2016: 484-492 - [i1]Tran Minh Quan, David G. C. Hildebrand, Won-Ki Jeong:
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics. CoRR abs/1612.05360 (2016) - 2015
- [j15]Jinwoong Kim, Won-Ki Jeong, Beomseok Nam:
Exploiting Massive Parallelism for IndexingMulti-Dimensional Datasets on the GPU. IEEE Trans. Parallel Distributed Syst. 26(8): 2258-2271 (2015) - [c17]Woohyuk Choi, Won-Ki Jeong:
Vispark: GPU-accelerated distributed visual computing using spark. LDAV 2015: 125-126 - [c16]Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong:
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. MICCAI (3) 2015: 484-492 - 2014
- [j14]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): 2407-2416 (2014) - [c15]Tran Minh Quan, Won-Ki Jeong:
A fast mixed-band lifting wavelet transform on the GPU. ICIP 2014: 1238-1242 - 2013
- [j13]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): 50-61 (2013) - [j12]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): 227-242 (2013) - 2012
- [j11]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): 2285-2294 (2012) - 2011
- [j10]Amelio Vázquez Reina, Won-Ki Jeong, Jeff Lichtman, Hanspeter Pfister:
The connectome project: discovering the wiring of the brain. XRDS 18(1): 8-13 (2011) - [j9]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): 1375-1383 (2011) - [j8]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): 2468-2488 (2011) - [c14]Won-Ki Jeong, Micah K. Johnson, Insu Yu, Jan Kautz, Hanspeter Pfister, Sylvain Paris:
Display-aware image editing. ICCP 2011: 1-8 - [c13]Johanna Beyer, Markus Hadwiger, Jens Schneider, Won-Ki Jeong, Hanspeter Pfister:
Distributed terascale volume visualization using distributed shared virtual memory. LDAV 2011: 127-128 - [c12]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: 621-628 - [c11]Johanna Beyer, Markus Hadwiger, Won-Ki Jeong, Hanspeter Pfister, Jeff Lichtman:
Demand-driven volume rendering of terascale EM data. SIGGRAPH Talks 2011: 57 - [c10]Manhee Lee, Won-Ki Jeong, Hanspeter Pfister:
Interactive large-scale image editing using operator reduction. SIGGRAPH Asia Posters 2011: 20:1 - 2010
- [j7]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): 58-70 (2010) - [j6]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): 1386-1395 (2010)
2000 – 2009
- 2009
- [j5]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): 1505-1514 (2009) - [j4]Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen:
Curvature-based anisotropic geodesic distance computation for parametric and implicit surfaces. Vis. Comput. 25(8): 743-755 (2009) - 2008
- [b1]Won-Ki Jeong:
Interactive Three-Dimensional Image Analysis and Visualization Using Graphics Hardware. University of Utah, USA, 2008 - [j3]Won-Ki Jeong, Ross T. Whitaker:
A Fast Iterative Method for Eikonal Equations. SIAM J. Sci. Comput. 30(5): 2512-2534 (2008) - [c9]Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen:
Anisotropic geodesic distance computation for parametric surfaces. Shape Modeling International 2008: 179-186 - 2007
- [j2]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): 1480-1487 (2007) - [c8]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: 346-358 - 2006
- [c7]Won-Ki Jeong, Ross T. Whitaker, Mark Dobin:
Interactive 3D seismic fault detection on the Graphics Hardware. VG@SIGGRAPH 2006: 111-118 - 2004
- [c6]Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee, Won-Ki Jeong, Hans-Peter Seidel:
Neural Mesh Ensembles. 3DPVT 2004: 308-315 - 2003
- [c5]Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter Seidel:
Neural Meshes: Statistical Learning Based on Normals. PG 2003: 404-408 - [c4]Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter Seidel:
Using Growing Cell Structures for Surface Reconstruction. Shape Modeling International 2003: 78-88, 288 - 2002
- [j1]Won-Ki Jeong, Chang-Hun Kim:
Direct Reconstruction of a Displaced Subdivision Surface from Unorganized Points. Graph. Model. 64(2): 78-93 (2002) - [c3]Won-Ki Jeong, Kolja Kähler, Jörg Haber, Hans-Peter Seidel:
Automatic Generation of Subdivision Surface Head Models from Point Cloud Data. Graphics Interface 2002: 181-188 - [c2]Won-Ki Jeong, Kolja Kähler, Hans-Peter Seidel:
Subdivision Surface Simplification. PG 2002: 477-480 - 2001
- [c1]Won-Ki Jeong, Chang-Hun Kim:
Direct Reconstruction of Displaced Subdivision Surface from Unorganized Points. PG 2001: 160-168
Coauthor Index
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