Publications

The complete list of my articles can be found on my Google Scholar profile.

Journal Publications

• Xinyi Li, Jing Yuan, Xuecheng Tai, Sanyang Liu, Efficient Convex Optimization for Non-Convex Non-Smooth Image Restoration, Journal of Scientific Computing, accepted 2024

• Kang Chen, Dexing Kong, Jing Yuan, Yili Hu, Jianping Li, Jijie Ma, Jianming Wen, Asymmetric-backed multi-frequency ultrasonic transducer for conformal tumor ablation, IEEE Trans. on Biomed. Eng., online 2024

• Chongfei Huang, Ke Chen, Meixiang Huang, Dexing Kong, Jing Yuan, Topology-Preserving Image Registration with Novel Multi-Dimensional Beltrami Regularization, Applied Mathematical Modelling, online 2023

• Hongpeng Sun, Xue-cheng Tai, Jing Yuan, Variational Image Motion Estimation by Preconditioned Dual Optimization, Inverse Problems & Imaging, 17(2), 2023

• Shengjie Xu, Jing Yuan, Bingsheng He, Proximal Augmented Lagrangian Method for Convex Optimization with Linear Inequality Constraints, SIAM Journal on Optimization, in submission, see also: http://www.optimization-online.org/DB_HTML/2019/05/7204.html .

• Yiguang Bai, Sanyang Liu, Qian Li, Jing Yuan, Cost-Aware Deployment of Check-in Nodes in Complex Networks, IEEE Transactions on System, Man, and Cybernetics, Pages 1-13, April 2021.

• Xin Sheng, Jing Yuan, Bo Tao, Liman Liu, Wenbing Tao, Efficient Convex Optimization-Based Texture Mapping for Large-Scale 3D Scene Reconstruction, Information Sciences, Volume 556:143-159, 2020.

• Meixiang Huang, Chongfei Huang, Dexing Kong, Jing Yuan, Fixed-Point Deformable U-Net to Pancreas CT Segmentation, Physics in Medicine and Biology, in submission.

• Xiaopan Xu, Xi Zhang, Ismail Ben Ayed, Jing Yuan, Hongbing Lu, Quantitative Identification of Nonmuscle‐Invasive and Muscle‐Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis, Journal of Magnetic Resonance Imaging, 49(5): 1489-1498 (2019).

• Jing Yuan, Ismail Ben Ayed, Aaron Fenster, Fast Dual Optimization Methods with Applications to Medical Image Segmentation and Registration, Big Data in Multimodal Medical Imaging, CRC publisher 2019.

• Hongpeng Sun, Xue-cheng Tai, Jing Yuan, Accelerated Dual Splitting Methods to Image Segmentation, SIAM Journal on Scientific Computing, 43(2):B455–B478, 2021.

• Jing Yuan, Aaron Fenster, Modern Convex Optimization to Medical Image Analysis, Convex Optimization: Theory, Methods and Applications, Nova Science Publishers 2019, also arXiv:1809.08734.

• Hoel Kervadec, Jose Dolz, Christian Desrosiers, Jing Yuan, Ismail Ben Ayed, Log-Barrier Constrained CNNs with Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, in submission, also arXiv:1904.04205.

• Xiaopan Xu, Huanjun Wang, Hongwei Zhang, Jing Yuan, Hongbing Lu, A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors, Journal of Magnetic Resonance Imaging, online in april 2019.

• Jinlian Ma, Fa Wu, Dexing Kong, Jing Yuan, A Novel Densely Connected CNN for Segmenting Nodular Lesions from Hyroid and Breast Ultrasound Images, Pattern Recognition, in submission.

• Yigunag Bai, Jing Yuan, Sanyang Liu, Ke Yin, Variational Community Partition with Novel Network Structure Centrality Prior, Applied Mathematical Modelling, 75:333-348 2019, also arXiv:1811.04543

• 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 Transactions on Medical Imaging, 38(5): 1116-1126, 2019, see also arXiv:1804.02967.

• Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed, Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation, Medical Image Analysis, in submission, see also arXiv:1712.05319.

• Jose Dolz, Xiaopan Xu, Jerome 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 networksr, Medical Physics, 45(12): 5482-5493 (2018).

• T. De Silva, Derek Cool, Jing Yuan, C. Romognoli, Aaron Fenster, Aaron Ward, Improving 2D- 3D Registration Optimization using Learned Prostate Motions, IEEE Transactions on Medical Imaging, 36(10):2010-2020 (2017).

• John Baxter, Martin Rajhl, Jing Yuan, Terry Peters, Directed Acyclic Graph Continuous Max- Flow Image Image Segmentation for Unconstrained Label Orderings, International Journal of Computer Vision, 123(3): 415–434 (2017).

• Wu Qiu, Yimin Chen, Sandrine de Ribaupierre, Aaron Fenster, Jing Yuan, Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles from 3D Ultrasound Images Using Spatial-Temporal Deformable Registration, IEEE Transactions on Medical Imaging, 36(4): 1016-1026 (2017).

• 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 Analysis, 35(1): 181-191 (2016).

• Martin Rajchl, John Baxter, Jing Yuan, Terry Peters, Hierarchical Max-Flow Segmentation Framework For Multi-Atlas Segmentation with Kohonen Self-Organizing Map Based Gaussian Mixture Modeling, Medical Image Analysis, 27: 45-56 (2016).

• E. Ukwatta, H. Arevalo, K. Li, J. Yuan, P. Malamas, W. Qiu, K. C. Wu, N. A. Trayanova, F. Vadakkumpadan, Myocardial Infarct Segmentation from Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology, IEEE Transactions on Medical Imaging, 35(6): 1408 - 1419 (2016).

• Eranga Ukwatta, Jing Yuan∗, Martin Rajchl, Wu Qiu, Bernard Chiu, Aaron Fenster, Joint Segmentation of Lumen and Outer Wall from 3D Femoral Artery MR Images: Towards 3D Imaging Measurements of Peripheral Arterial Disease, Medical Image Analysis, 26(1): 120-132 (2015).

• Qiu Wu, Jing Yuan, Martin Rajchl, Jessica Kishimoto, Sandrine de Ribaupierre, 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).

• Yue Sun, Wu Qiu, Jing Yuan, Cesare Romagnoli, Aaron Fenster, Three-Dimensional Non-Rigid Landmark-Based Magnetic Resonance to Transrectal Ultrasound Registration for Image-Guided Prostate Biopsy, Journal of Medical Imaging, 2(2): 025002-025002 (2015).

• Fumin Guo, Jing Yuan, Sarah Svenningsen, Dante Capaldi, Aaron Fenster, Grace Parraga, Globally Optimal Co-Segmentation of Three-dimensional Pulmonary 1H and Hyperpolarized 3He MRI with Spatial Consistence Prior, Medical Image Analysis, 23(1): 43-55 (2015).

• Yue Sun, Jing Yuan, Wu Qiu, Martin Rajchl, Cesare Romagnoli, Aaron Fenster, Three-Dimensional Non-Rigid MR-TRUS Registration Using Dual Optimization, IEEE Transactions on Medical Imaging, 34(5): 1085-1095 (2015).

• Wu Qiu, Jing Yuan, Jessica Kishimoto, Jonathan McLeod, Yimin Chen, Sandrine de Ribaupierre, Aaron Fenster, User-Guided Segmentation of Preterm Neonate Ventricular System from 3D Ultrasound Images Using Convex Optimization, Ultrasound in Medicine and Biology, 41(2): 542-556 (2015).

• Wu Qiu, Jing Yuan, Eranga Ukwatta, Aaron Fenster, Rotationally Resliced 3D Prostate TRUS Segmentation Using Convex Optimization with Shape Priors, Medical Physics, 42(2): 877-891 (2015).

• with Caroline Petitjean etc., Right Ventricle Segmentation from Cardiac MRI: a Collation Study, Medical Image Analysis, 19(1): 187-202 (2015).

• W. Qiu, J. Yuan, E. Ukwatta, S. Yue, M. Rajchl, A. Fenster, Dual Optimization Based Prostate Zonal Segmentation in 3D MR Images, Medical Image Analysis, 18(4): 660–673 (2014).

• with G. J. S. Litjens, etc., Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge, Medical Image Analysis, 18(2): 359-373 (2014).

• 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 Transactions on Medical Imaging, 33(4): 947-960 (2014).

• J. Yuan, E. Bae, X.-C. Tai, Y. Boykov, A spatially continuous max-flow and min-cut framework for binary labeling problems, Numerische Mathematik, 126(3): 559-587 (2014).

• M. B. Salah, I. Ben Ayed, J. Yuan, H. Zhang, Convex-Relaxed Kernel Mapping for Image Segmentation, IEEE Transactions on Image Processing, 23(3): 1143-1153 (2014).

• M. Rajchl, J. Yuan, J. A. White, E. Ukwatta, J. Stirrat, C. Nambakhsh, F. Li, T. Peters, Fast Hierarchical Max-Flow Segmentation of Scar Tissue from Late-Enhancement Cardiac MR Images, IEEE Transactions on Medical Imaging, 33(1): 159-172 (2014).

• E. Ukwatta, J. Yuan, M. Rajchl, W. Qiu, A. Fenster, 3D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces, IEEE Transactions on Medical Imaging, 32(4): 770-785 (2013).

• A. Soliman, J. Yuan, K. Vigen, J. White, T. Peters, C. McKenzie, Max-IDEAL: A Max-Flow Based Approach for IDEAL Water/Fat Separation, Magnetic Resonance in Medicine, Sept. (2013).

• W. Qiu, J. Yuan, E. Ukwatta, D. Tessie, A. Fenster, 3D Prostate Segmentation Using Level Set with Shape Constraint Based on Rotational Slices for 3D End-firing TRUS Guided Biopsy, Medical Physics, 40(7) (2013).

• E. Ukwatta, J. Yuan, D. Buchanan, B. Chiu, J. Awad, W. Qiu, G. Parraga, A. Fenster, Three- Dimensional Segmentation of Three-Dimensional Ultrasound Carotid Atherosclerosis Using Sparse Field Level Sets, Medical Physics, 40 (2013).

• J. Yuan, B. Miles, J. Shi, X.C. Tai, A. Fenster, Efficient Convex Optimization Approaches to Variational Image Fusion, International Journal of Numerical & Applied Mathematics, 7: 234-250 (2014).

• M. S. Nambakhsh, J. 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 Analysis, 17(8): 1010-1024 (2013).

• K. Punithakumar, J. Yuan, I. B. Ayed, S. Li, Y. Boykov, A Convex Max-Flow Approach to Distribution Based Figure-Ground Separation, SIAM Jounral on Imaging Sciences, 5(4): 1333-1354 (2012).

• J. Yuan, E. Bae, X.-C. Tai, Y. Boykov, A Fast Continuous Max-Flow Approach to Potts Model, To appear in Journal of Mathematical Imaging and Vision, also UCLA Tech. Report CAM 11-85.

• E. Bae, J. Yuan, X.-C. Tai, Y. Boykov, A Fast Continuous Max-Flow Approach to Non-Convex MultiLabeling Problems, Efficient Algorithms for Global Optimization Methods in Computer Vision 2011, also UCLA Tech. Report CAM 10-62.

• E. Bae, J. Yuan, X. C. Tai, Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models, Innovations for Shape Analysis, Models and Algorithms, 421-438 (2011).

• J. Yuan, J. Shi, X.-C. Tai, A Convex and Exact Approach to Discrete Constrained TV-L1 Image Approximation, East Asian Journal on Applied Mathematics, 1(2):172-186, 2011.

• E. Bae, J. Yuan, X.C. Tai, Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach, International Journal of Computer Vision, 92(1):112-129, 2011.

• J. Yuan, C. Schnörr, G. Steidl, Convex Hodge Decomposition and Regularization of Image Flows, Journal of Mathematical Imaging and Vision, 33(2):169-177, 2009.

• J. Yuan, C. Schnörr, E. Memin, Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, Journal of Mathematical Imaging and Vision, 28:67-80, 2007.

• J. Yuan, C. Schnörr, G. Steidl, Simultaneous Optical Flow Estimation and Decomposition, SIAM Journal of Scientific Computing, 29(6):2283-2304, 2007.

Selected Conference Publications

• Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed, Variational Fair Clustering, AAAI 2020.

• Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Shanshan Wang, Laplacian Pyramid-Based Complex Neural Network Learning for Fast MR Imaging, MIDL 2020.

• Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers, HyperDense-Net: A densely connected CNN for multi-modal image segmentation, ISBI 2018.

• J. Yuan, K. Yin, B. Bai, X.C. Feng, X.C. Tai, Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation, SSVM 2017.

• J. Baxter, J. Yuan, M. Drangova, T.M. Peters, J. Inoue, Shape Complexes in Continuous Max-Flow Segmentation, SPIE 2016.