Browse "BiS-Conference Papers(학술회의논문)" by Author Ye, Jong Chul
Showing results 1 to 60 of 144
| 3-D Microscopy Tomography under Sparsity Constraint Ye, Jong Chul; Jung, W; Jang, WJ; Kim, HS, World Congress on Medical Physics and Biomedical Engineering, 2006-08 |
| 3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity Kim, M.W.; Choi, J.; Ye, Jong Chul, Computational Imaging VI, 2008-01-28 |
| A Data-Driven fMRI Analysis using K-SVD Sparse Dictionary Learning Ye, Jong Chul; Lee, K, ISMRM-ESMRMB Joint Annual Meeting Forum 2010, International Society of Magnetic Resonance in medicine, 2010-05-06 |
| A data-driven spatially adaptive generalized linear model for functional MRI analysis Lee, K.; Tak, S.; Ye, Jong Chul, 2011 International Symposium on Biomedical Imaging (ISBI), 2011-03-30 |
| A localized relaxation algorithm for Bayesian diffusion tomography using the generalized gaussian markov random field prior model Ye, Jong Chul; Bouman, A; Webb, KJ, 98 OSA Annual meeging, 1998-10-04 |
| A self-referencing level-set method for image reconstruction from sparse Fourier samples Ye, Jong Chul; Bresler, Y; Moulin, P, IEEE Workshop on variational and level set methods in computer vision 2001, 2001-07-13 |
| A self-referencing level-set method for image reconstruction from sparse Fourier samples Ye, Jong Chul; Bresler, Y; Bresler, P, IEEE International Conf. on Image Processing (ICIP) 2001, 2001-10-07 |
| A sparse bayesian learning for highly accelerated dynamic MRI Jung, H.; Ye, Jong Chul, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, pp.253 - 256, ISBI'10, 2010-04-14 |
| A topological approach of tracking dynamic functional connectivity using persistent homology Yoo, Jaejun; Kim, Eun Young; Ahn, Yong Min; Ye, Jong Chul, Organization for Human Brain Mapping, OHBM, Organization for Human Brain Mapping, OHBM, 2015-06-15 |
| A weighted distorted Born iterative method for optical diffusion imaging Ye, Jong Chul; Webb, KJ; Millane, RP; Downar, TJ, OSA Signal Recovery and Synthesis Topical Meeting 1997, 1997-10-17 |
| AB Initio maximum likelihood reconstruction of helical macromolecules using electron microscopy Kim, M.W.; Ye, Jong Chul, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp.294 - 297, ISBI'09, 2009-06-28 |
| Accelerated In Vivo 3D Chemical Exchange Saturation Transfer (CEST) Imaging using dynamic Compressed Sensing Lee, Juyoung; Han, Paul Kyu; Choi, Seung-Hong; Park, Sung-Hong; Ye, Jong Chul, International Society for Magnetic Resonance in Medicine 2014, v.22, pp.3169, International Society for Magnetic Resonance in Medicine, 2014-05-12 |
| Accelerated In Vivo 3D Pseudo-Continuous ASL with Balanced Steady State Free Precession using k-t FOCUSS Han, Paul Kyu; Ye, Jong Chul; Choi, Seung Hong; Park, Sung-Hong, International Society for Magnetic Resonance in Medicine 2014, pp.4560, International Society for Magnetic Resonance in Medicine, 2014-05-15 |
| Accelerated Projection Reconstruction MR imaging using Deep Residual Learning Han, Yoseob; Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The International Society for Magnetic Resonance in Medicine, ISMRM, 2017-04 |
| Accelerated T2 Prime Mapping using Dynamic Compressed Sensing with Patch-based Low-Rank Penalty Lee, Dongwook; Kim, Eung Yeop; Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul, International Society for Magnetic Resonance in Medicine 2014, pp.4275, International Society for Magnetic Resonance in Medicine, 2014-05-14 |
| ALOHA : a link between compressed sensing and parallel MRI Jin, Kyong Hwan; Lee, Dongwook; Ye, Jong Chul, Signal Processing with Adaptive Sparse Structured Representations 2015, Signal Processing with Adaptive Sparse Structured Representations, 2015-07-09 |
| Artifact removal from vascular origin in fMRI analysis using simultaneous fMRI and NIRS measurement Tak, S.; Ye, Jong Chul, The 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2011-06-26 |
| Asymptotic global confidence regions for 3-D parametric shape estimation in inverse problems Ye, Jong Chul; Moulin, P.; Bresler, Y., 2005 IEEE/SP 13th Workshop on Statistical Signal Processing, v.2005, pp.471 - 476, 2005-07-17 |
| Bayesian optical diffusion imaging Ye, Jong Chul; Bouman, CA; Webb, KJ; Millane, RP, in Proc. SPIE Annual meeting 1999, 1999-07-18 |
| Brain resting state network connectivity in patients with Parkinson’s disease and cognitive impairment Ghahremani, M; Yoo, Kwangsun; Chung, SJ; Jeong, Yong; Ye, Jong Chul, 대한뇌기능매핑학회 2012년 추계학술대회, Korean Society for Human Brain Mapping, 2012-11-02 |
| Breast cancer diagnosis from fluorescence spectroscopy using artificial neural network Ye, Jong Chul; Choi, JY, 제19회 신호처리합동학술대회, 2006-09 |
| Breast cancer diagnosis from fluorescence spectroscopy using support vector machine Choi, J; Gupta, S; Park, I; Lee, Doheon; Ye, Jong Chul, Optical Tomography and Spectroscopy of Tissue VII, pp.0 - 0, 2007-01-21 |
| Collagan: Collaborative gan for missing image data imputation Lee, Dongwook; Kim, Junyoung; Moon, Won-Jin; Ye, Jong Chul, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.2482 - 2491, IEEE Computer Society, 2019-06 |
| Comparative analysis of the variational PDE and Born-type integral equation appraches for optical diffusion tomography Ye, Jong Chul, IEEE Antennas and Prop-agation sysposium and National Radio Science Meetion, 1999 |
| Comparative study of projection/back-prejection schemes in cryo-EM tomography Liu, Y.; Ye, Jong Chul, Image Reconstruction from Incomplete Data IV, pp.0 - 0, 2006-08-14 |
| Compressed sensing and Parallel MRI using deep residual learning Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The International Society for Magnetic Resonance in Medicine, ISMRM, 2017-04 |
| Compressed sensing fMRI using optimized temporal basis Ye, Jong Chul; Jung, H, ISMRM-ESMRMB Joint Annual Meeting Forum 2010, International Society of Magnetic Resonance in medicine, 2010-05-03 |
| Compressed sensing for Bio-Imaging Applications Ye, Jong Chul, International Forum on Medical Imaging in Asia (IFMIA), 2009-01-19 |
| Compressed Sensing for fMRI at High Field Han, Paul Kyu; Park, Sung-Hong; Kim, Seong-Gi; Ye, Jong Chul, The 1st International Congress on Magnetic Resonance Imaging & The 19th Annual Scientific Meeting of KSMRM 2013, pp.12, 대한자기공명의과학회 (KSMRM), 2013-03-31 |
| Compressed sensing metal artifact removal in dental CT Choi, J.; Kim, M.W.; Seong, W.; Ye, Jong Chul, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp.334 - 337, ISBI'09, 2009-06-28 |
| Compressive inverse scattering using ultrashort pulses Jin, KH; Lee, K; Ahn, J; Ye, Jong Chul, SPIE-IS&T Electronic imaging, SPIE, 2010-01 |
| CONE-ANGLE ARTIFACT REMOVAL USING DIFFERENTIATED BACKPROJECTION DOMAIN DEEP LEARNING Kim, Junyoung; Han, Yoseob; Ye, Jong Chul, IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.642 - 645, IEEE, 2020-04 |
| Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 3rd MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the 1st MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, pp.158 - 167, Springer Science and Business Media Deutschland GmbH, 2021-09 |
| Cramer-Rao bound for parametric shape estimation in inverse problems Ye, Jong Chul; Bresler, Y; Moulin, P, in Proc. IEEE International Conf. on Image Processing (ICIP) 2002, 2002-09-22 |
| Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory Kim, M.W.; Choi, J.; Yu, L.; Lee, K.E.; Han, S.-S.; Ye, Jong Chul, Computational Imaging V, 2007-01-29 |
| DC Artifact Correction for Arbitrary Phase-Cycling Sequence Han, Paul Kyu; Ye, Jong Chul; Park, HyunWook; Park, Sung-Hong, International Society for Magnetic Resonance in Medicine 2013, pp.3781, International Society for Magnetic Resonance in Medicine, 2013-04-23 |
| DEEP LEARNING FAST MRI USING CHANNEL ATTENTION IN MAGNITUDE DOMAIN Lee, Joonhyung; Kim, Hyunjong; Chung, HyungJin; Ye, Jong Chul, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, pp.917 - 920, IEEE, 2020-04 |
| DEEP LEARNING FOR ACCELERATED ULTRASOUND IMAGING Yoon, Yeo Hun; Ye, Jong Chul, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6673 - 6676, IEEE, 2018-04 |
| Deep Learning-Based Universal Beamformer for Ultrasound Imaging Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, pp.619 - 627, Springer, 2019-10 |
| Deep Residual Learning Approach for Sparse-view CT Reconstruction Han, Yoseob; Ye, Jong Chul, Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D conference organization, 2017-06 |
| Diffuse Optical Tomography using Generalized MUSIC Algorithm Lee, O.; Kim, J.M.; Bresler, Y.; Ye, Jong Chul, 2011 IEEE International Symposium of Biomedical Imaging (ISBI), 2011-03-30 |
| Dynamic Simultaneous T1 and T2* weighted 3D Dual-Echo Imaging with Compressed Sensing: Potential Advancement to Simultaneous DCE and DSC Imaging Do, Won-Joon; Lee, Dong-Wook,; Han, Paul Kyu; Choi, Seung Hong; Ye, Jong Chul; Park, Sung-Hong, International Society for Magnetic Resonance in Medicine 2014, pp.4597, International Society for Magnetic Resonance in Medicine, 2014-05-13 |
| Efficient algorithms for Bayesian optical diffusion imaging Ye, Jong Chul; Millane, RP; Bouman, CA; Webb, KJ, in Proc. Image and Vison computing New Zealand1999, pp.223 - 228, 1999 |
| Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation Ye, Jong Chul; Su, Y.L.; Bresler, Y., 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008, pp.1621 - 1624, 2008-05-14 |
| Family-wise error rate control for group analysis in statistical parameter mapping for NIRS Li, H.; Tak, S.; Ye, Jong Chul, 대한뇌기능매핑학회 2010 추계 학술대회, 대한뇌기능매핑학회, 2010-11-05 |
| Fast 3D bSSFP Pseudo-Continuous Arterial Spin Labeling (pCASL) Imaging of the Human Brain Han, Paul Kyu; Ye, Jong Chul; Choi, Seung Hong; Park, Sung-Hong, The 2nd International Congress on Magnetic Resonance Imaging & The 19th Annual Scientific Meeting of Korean Society for Magnetic Resonance in Medicine 2014, Korean Society for Magnetic Resonance in Medicine, 2014-03-29 |
| Fast and accurate penalized maximum likelihood estimation of localization microscopy using Poisson noise model Kim, Kyung Sang; Min, Junhong; Carlini, Lina; Unser, Michael; Manley, Suliana; Jeon, Daejong; Ye, Jong Chul, Sampling Theory and Applications (SAMPTA), IEEE, 2013-07 |
| Fast Inverse Algorithms for Optical Diffusion Tomography Ye, Jong Chul; Bouman, CA; Webb, KJ; Millane, RP, NSF conference on DSP for Sampled Coherent Aperture Systems, 1999 |
| Fast live cell imaigng at nanometer resolution using annihilating filter-based low-rank Hankel matrix approach Ye, Jong Chul, Wavelets and Sparsity XVI, SPIE, 2015-08-10 |
| FOCUSS를 이용한 Projection MR 영상 복원 Ye, Jong Chul; Tak, S, 제 19회 신호처리합동학술대회, 2006-09 |
| Fourier descriptors for parametric shape estimation in nonlinear inverse scattering problems Ye, Jong Chul; Bresler, Y; Moulin, P, SPIE's Internation Symposium on AeroSense, 2000 |
| FRAMELET DENOISING FOR LOW-DOSE CT USING DEEP LEARNING Kang, Eunhee; Ye, Jong Chul, 15th IEEE International Symposium on Biomedical Imaging (ISBI), pp.311 - 314, IEEE, 2018-04 |
| Fully 3D Iterative Scatter-Corrected OSEM for High-Resolution Research Tomograph PET Using GPU Kim, K. S.; Ye, Jong Chul, 2011 IEEE International Symposium on Biomedical Imaging (ISBI), 2011-03-30 |
| Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering Ye, Jong Chul; Schaar, M. van der, Visual Communications and Image Processing (VCIP), 2003-07-08 |
| Functional Connectivity of the Default Mode Network in Parkinson’s Disease with Cognitive Impairment Ghahremani, Maryam; Jeong, Yong; Ye, Jong Chul, The 20th Annual Meeting of the Organization for Human Brain Mapping 2014, Organization for Human Brain Mapping, 2014-06-08 |
| Fundamental uncertainty in estimating 3-D parametric surfaces for imaging applications Ye, Jong Chul; Bresler, Y; Moulin, P, Image and Vision Computing, 2004-11 |
| Generalized K-T blast and K-T sense using focuss Yoo, JH; Jung, H; Ye, Jong Chul, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, pp.145 - 148, 2007-04-12 |
| Global confidence regions in parametric shape estimation Ye, Jong Chul; Bresler, Y; Moulin, P, in Proc. IEEE International conference on Acoustics, Speech and Signal Processing 2000, 2000-06-05 |
| GPU Implementation of Exact FBP and BPF Algorithms for Saddle and Circle-plus-line CT Lee, Min Ji; Kim, Kyung Sang; Ye, Jong Chul, The Second International Conference on Image Formation in X-Ray Ccomputed Tomography, University of Utah school of medicine, 2012-06 |
| Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer's disease Lee, Jeonghyeon; Jeong, Yong; Ye, Jong Chul, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, pp.540 - 543, IEEE, 2013-04-07 |
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