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ORCIDJing Yuan 0001
Person information
- affiliation: Xidian University, School of Mathematics and Statistics, Xi'an, China
- affiliation (former): University of Western Ontario, Robarts Research Institute, Imaging Laboratories, London, ON, Canada
- affiliation (PhD 2009): Heidelberg University, Germany
Other persons with the same name
- Jing Yuan — disambiguation page
- Jing Yuan 0002
![[0000-0001-6407-834X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6407-834X")
— University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA (and 2 more) - Jing Yuan 0003 — Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong
- Jing Yuan 0004 — Nankai University, College of Computer and Control Engineering, Tianjin, China (and 1 more)
- Jing Yuan 0005 — Heidelberg University, Germany (and 1 more)
- Jing Yuan 0006 — University of Illinois at Chicago, Computer Science Department, IL, USA
- Nicholas Jing Yuan (aka: Jing Yuan 0007) — Huawei Cloud8AI, Hangzhou, Zhejiang, China (and 1 more)
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2020 – today
- 2024
[j28]Jinlian Ma, Dexing Kong, Fa Wu, Lingyun Bao, Jing Yuan, Yusheng Liu:
Densely connected convolutional networks for ultrasound image based lesion segmentation. Comput. Biol. Medicine 168: 107725 (2024)- [j27]Xinyi Li, Jing Yuan, Xue-Cheng Tai, Sanyang Liu:
Efficient Convex Optimization for Non-convex Non-smooth Image Restoration. J. Sci. Comput. 99(2): 57 (2024) - 2022
- [j26]Yi-Guang Bai, Sanyang Liu, Qian Li, Jing Yuan:
Cost-Aware Deployment of Check-In Nodes in Complex Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3378-3390 (2022) - [c48]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - 2021
- [j25]Xin Sheng, Jing Yuan, Wenbing Tao, Bo Tao, Liman Liu:
Efficient convex optimization-based texture mapping for large-scale 3D scene reconstruction. Inf. Sci. 556: 143-159 (2021) - [j24]Hongpeng Sun, Xue-Cheng Tai, Jing Yuan:
Efficient and Convergent Preconditioned ADMM for the Potts Models. SIAM J. Sci. Comput. 43(2): B455-B478 (2021) - [c47]Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. AAAI 2021: 11202-11209 - [c46]Chongfei Huang, Chenhui Qiu, Zhiyi Peng, Jing Yuan, Dexing Kong:
Iterative Reweighted Local Cross Correlation Method for Nonlinear Registration of Multiphase Liver CT Images. ICIP 2021: 136-140 - 2020
- [j23]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [c45]Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang:
Laplacian pyramid-based complex neural network learning for fast MR imaging. MIDL 2020: 454-464
2010 – 2019
- 2019
- [j22]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging 38(5): 1116-1126 (2019) - [c44]Xiaopan Xu, Peng Du, Yang Liu, Xi Zhang, Jing Yuan, Hongbing Lu:
Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders. ISICDM 2019: 259-262 - [c43]Meixiang Huang, Chongfei Huang, Jing Yuan, Dexing Kong:
Fixed-Point Deformable U-Net for Pancreas CT Segmentation. ISICDM 2019: 283-287 - [i13]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i12]Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed:
Clustering with Fairness Constraints: A Flexible and Scalable Approach. CoRR abs/1906.08207 (2019) - 2018
- [c42]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. ISBI 2018: 616-620 - [i11]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR abs/1804.02967 (2018) - [i10]Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu:
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR abs/1805.10720 (2018) - [i9]Jing Yuan, Aaron Fenster:
Modern Convex Optimization to Medical Image Analysis. CoRR abs/1809.08734 (2018) - [i8]Yi-Guang Bai, Sanyang Liu, Ke Yin, Jing Yuan:
Variational Community Partition with Novel Network Structure Centrality Prior. CoRR abs/1811.04543 (2018) - 2017
- [j21]John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Jing Yuan, Terry M. Peters:
Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings. Int. J. Comput. Vis. 123(3): 415-434 (2017) - [j20]Wu Qiu, Yimin Chen, Jessica Kishimoto, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster, Jing Yuan:
Automatic segmentation approach to extracting neonatal cerebral ventricles from 3D ultrasound images. Medical Image Anal. 35: 181-191 (2017) - [j19]Wu Qiu, Yimin Chen, Jessica Kishimoto, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster, Bijoy K. Menon, Jing Yuan:
Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration. IEEE Trans. Medical Imaging 36(4): 1016-1026 (2017) - [j18]Tharindu De Silva, Derek W. Cool, Jing Yuan, Cesare Romagnoli, Jagath Samarabandu, Aaron Fenster, Aaron D. Ward:
Robust 2-D-3-D Registration Optimization for Motion Compensation During 3-D TRUS-Guided Biopsy Using Learned Prostate Motion Data. IEEE Trans. Medical Imaging 36(10): 2010-2020 (2017) - [c41]Xiaopan Xu, Xi Zhang, Yang Liu, Qiang Tian, Guopeng Zhang, Zengyue Yang, Hongbing Lu, Jing Yuan:
Simultaneous Segmentation of Multiple Regions in 3D Bladder MRI by Efficient Convex Optimization of Coupled Surfaces. ICIG (2) 2017: 528-542 - [c40]Jing Yuan, Ke Yin, Yi-Guang Bai, Xiang-Chu Feng, Xue-Cheng Tai:
Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. SSVM 2017: 524-534 - [i7]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. CoRR abs/1710.05956 (2017) - [i6]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR abs/1712.05319 (2017) - 2016
- [j17]Martin Rajchl, John S. H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, Ali R. Khan:
Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling. Medical Image Anal. 27: 45-56 (2016) - [j16]Eranga Ukwatta, Hermenegild Arevalo, Kristina Li, Jing Yuan, Wu Qiu, Peter Malamas, Katherine C. Wu, Natalia A. Trayanova, Fijoy Vadakkumpadan:
Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology. IEEE Trans. Medical Imaging 35(6): 1408-1419 (2016) - [c39]Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Daniel Rueckert, Jing Yuan:
Fast Deformable Image Registration with Non-smooth Dual Optimization. CVPR Workshops 2016: 465-472 - [c38]Wu Qiu, Jing Yuan, Aaron Fenster:
3D prostate MR-TRUS non-rigid registration using dual optimization with volume-preserving constraint. Medical Imaging: Image Processing 2016: 97841P - [c37]John S. H. Baxter, Jing Yuan, Maria Drangova, Terry M. Peters, Jiro Inoue:
Shape complexes in continuous max-flow segmentation. Medical Imaging: Image Processing 2016: 978434 - [c36]Jieyu Cheng, Wu Qiu, Jing Yuan, Aaron Fenster, Bernard Chiu:
Accurate quantification of local changes for carotid arteries in 3D ultrasound images using convex optimization-based deformable registration. Medical Imaging: Image Processing 2016: 978448 - 2015
- [j15]Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan:
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j14]Fumin Guo, Jing Yuan, Martin Rajchl, Sarah Svenningsen, Dante P. I. Capaldi, Khadija Sheikh, Aaron Fenster, Grace Parraga:
Globally optimal co-segmentation of three-dimensional pulmonary 1H and hyperpolarized 3He MRI with spatial consistence prior. Medical Image Anal. 23(1): 43-55 (2015) - [j13]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Bernard Chiu, Aaron Fenster:
Joint segmentation of lumen and outer wall from femoral artery MR images: Towards 3D imaging measurements of peripheral arterial disease. Medical Image Anal. 26(1): 120-132 (2015) - [j12]Wu Qiu, Jing Yuan, Martin Rajchl, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster:
3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets. NeuroImage 118: 13-25 (2015) - [j11]Yue Sun, Jing Yuan, Wu Qiu, Martin Rajchl, Cesare Romagnoli, Aaron Fenster:
Three-Dimensional Nonrigid MR-TRUS Registration Using Dual Optimization. IEEE Trans. Medical Imaging 34(5): 1085-1095 (2015) - [c35]Fumin Guo, Sarah Svenningsen, Emma Bluemke, Martin Rajchl, Jing Yuan, Aaron Fenster, Grace Parraga:
Automated pulmonary lobar ventilation measurements using volume-matched thoracic CT and MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941717 - [c34]Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior. MICCAI (3) 2015: 89-96 - [c33]Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization. MICCAI (3) 2015: 476-483 - [c32]Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster:
3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation. Medical Imaging: Image Processing 2015: 941310 - [i5]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances. CoRR abs/1501.07844 (2015) - [i4]John S. H. Baxter, Jing Yuan, Terry M. Peters:
Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems. CoRR abs/1510.04706 (2015) - 2014
- [j10]Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi:
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18(2): 359-373 (2014) - [j9]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Dual optimization based prostate zonal segmentation in 3D MR images. Medical Image Anal. 18(4): 660-673 (2014) - [j8]Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov:
A spatially continuous max-flow and min-cut framework for binary labeling problems. Numerische Mathematik 126(3): 559-587 (2014) - [j7]Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Hong Zhang:
Convex-Relaxed Kernel Mapping for Image Segmentation. IEEE Trans. Image Process. 23(3): 1143-1153 (2014) - [j6]Martin Rajchl, Jing Yuan, James A. White, Eranga Ukwatta, John Stirrat, Cyrus M. S. Nambakhsh, Feng P. Li, Terry M. Peters:
Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images. IEEE Trans. Medical Imaging 33(1): 159-172 (2014) - [j5]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images. IEEE Trans. Medical Imaging 33(4): 947-960 (2014) - [c31]Egil Bae, Xue-Cheng Tai, Jing Yuan:
Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts. EMMCVPR 2014: 15-28 - [c30]Martin Rajchl, John S. H. Baxter, Egil Bae, Xue-Cheng Tai, Aaron Fenster, Terry M. Peters, Jing Yuan:
Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. EMMCVPR 2014: 278-291 - [c29]Wu Qiu, Jing Yuan, Jessica Kishimoto, Sandrine de Ribaupierre, Eranga Ukwatta, Aaron Fenster:
Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images. ISBI 2014: 1222-1225 - [c28]Wu Qiu, Jing Yuan, Martin Rajchl, Jessica Kishimoto, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization. CARE@MICCAI 2014: 46-54 - [c27]Eranga Ukwatta, Jing Yuan, Wu Qiu, Katherine C. Wu, Natalia A. Trayanova, Fijoy Vadakkumpadan:
Myocardial Infarct Segmentation and Reconstruction from 2D Late-Gadolinium Enhanced Magnetic Resonance Images. MICCAI (2) 2014: 554-561 - [c26]Wu Qiu, Martin Rajchl, Fumin Guo, Yue Sun, Eranga Ukwatta, Aaron Fenster, Jing Yuan:
3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior. MICCAI (1) 2014: 796-803 - [c25]John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Ali R. Khan, Jing Yuan, Terry M. Peters:
Smoothness parameter tuning for generalized hierarchical continuous max-flow segmentation. Medical Imaging: Image Processing 2014: 903410 - [i3]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Continuous Max-Flow Approach to General Hierarchical Multi-Labelling Problems. CoRR abs/1404.0336 (2014) - [i2]Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Jing Yuan:
RANCOR: Non-Linear Image Registration with Total Variation Regularization. CoRR abs/1404.2571 (2014) - [i1]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization. CoRR abs/1405.0892 (2014) - 2013
- [j4]Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed:
Left ventricle segmentation in MRI via convex relaxed distribution matching. Medical Image Anal. 17(8): 1010-1024 (2013) - [j3]Eranga Ukwatta, Jing Yuan, Martin Rajchl, Wu Qiu, David Tessier, Aaron Fenster:
3-D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces. IEEE Trans. Medical Imaging 32(4): 770-785 (2013) - [c24]Jing Yuan, Wu Qiu, Martin Rajchl, Eranga Ukwatta, Xue-Cheng Tai, Aaron Fenster:
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry. CVPR 2013: 2211-2218 - [c23]Jing Yuan, Eranga Ukwatta, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai, Aaron Fenster:
Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. EMMCVPR 2013: 12-25 - [c22]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization. IPMI 2013: 304-315 - [c21]Tharindu De Silva, Derek W. Cool, Jing Yuan, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward:
Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data. MICCAI (2) 2013: 124-131 - [c20]Yue Sun, Jing Yuan, Martin Rajchl, Wu Qiu, Cesare Romagnoli, Aaron Fenster:
Efficient Convex Optimization Approach to 3D Non-rigid MR-TRUS Registration. MICCAI (1) 2013: 195-202 - [c19]Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior. MICCAI (2) 2013: 198-205 - [c18]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Bernard Chiu, Shadi Shavakh, Jianrong Xu, Aaron Fenster:
Joint Segmentation of 3D Femoral Lumen and Outer Wall Surfaces from MR Images. MICCAI (1) 2013: 534-541 - [c17]Wu Qiu, Jing Yuan, Jessica Kishimoto, Eranga Ukwatta, Aaron Fenster:
Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization. MICCAI (3) 2013: 559-566 - [c16]Eranga Ukwatta, Jing Yuan, Wu Qiu, Martin Rajchl, Aaron Fenster:
Efficient convex optimization-based curvature dependent contour evolution approach for medical image segmentation. Medical Imaging: Image Processing 2013: 866902 - [c15]Wu Qiu, Jing Yuan, Eranga Ukwatta, David Tessier, Aaron Fenster:
Prostate segmentation in 3D TRUS using convex optimization with shape constraint. Medical Imaging: Image Processing 2013: 866943 - [p1]Egil Bae, Jing Yuan, Xue-Cheng Tai:
Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models. Innovations for Shape Analysis, Models and Algorithms 2013: 421-438 - 2012
- [j2]Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov:
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. 5(4): 1333-1354 (2012) - [c14]Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Zhijie Wang, Hong Zhang:
Convex relaxation for image segmentation by kernel mapping. ICIP 2012: 289-292 - [c13]Martin Rajchl, Jing Yuan, Eranga Ukwatta, Terry M. Peters:
Fast interactive multi-region cardiac segmentation with linearly ordered labels. ISBI 2012: 1409-1412 - [c12]Eranga Ukwatta, Jing Yuan, Martin Rajchl, Aaron Fenster:
Efficient Global Optimization Based 3D Carotid AB-LIB MRI Segmentation by Simultaneously Evolving Coupled Surfaces. MICCAI (3) 2012: 377-384 - [c11]Abraam S. Soliman, Jing Yuan, James A. White, Terry M. Peters, Charles A. McKenzie:
A Convex Relaxation Approach to Fat/Water Separation with Minimum Label Description. MICCAI (2) 2012: 519-526 - [c10]Wu Qiu, Jing Yuan, Eranga Ukwatta, David Tessier, Aaron Fenster:
Rotational-Slice-Based Prostate Segmentation Using Level Set with Shape Constraint for 3D End-Firing TRUS Guided Biopsy. MICCAI (1) 2012: 537-544 - [c9]Martin Rajchl, Jing Yuan, James A. White, Cyrus M. S. Nambakhsh, Eranga Ukwatta, Feng Li, John Stirrat, Terry M. Peters:
A Fast Convex Optimization Approach to Segmenting 3D Scar Tissue from Delayed-Enhancement Cardiac MR Images. MICCAI (1) 2012: 659-666 - [c8]Martin Rajchl, Jing Yuan, Terry M. Peters:
Real-time segmentation in 4D ultrasound with continuous max-flow. Medical Imaging: Image Processing 2012: 83141F - 2011
- [j1]Egil Bae, Jing Yuan, Xue-Cheng Tai:
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach. Int. J. Comput. Vis. 92(1): 112-129 (2011) - [c7]Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov:
A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 134-154 - [c6]Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li:
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI 2011: 171-183 - [c5]Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov:
A Study on Convex Optimization Approaches to Image Fusion. SSVM 2011: 122-133 - [c4]Jing Yuan, Egil Bae, Yuri Boykov, Xue-Cheng Tai:
A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior. SSVM 2011: 279-290 - 2010
- [c3]Jing Yuan, Yuri Boykov:
TV-Based Multi-Label Image Segmentation with Label Cost Prior. BMVC 2010: 1-12 - [c2]Jing Yuan, Egil Bae, Xue-Cheng Tai:
A study on continuous max-flow and min-cut approaches. CVPR 2010: 2217-2224 - [c1]Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov:
A Continuous Max-Flow Approach to Potts Model. ECCV (6) 2010: 379-392
Coauthor Index
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