CNRS Permanent Researcher Director at CREATIS / Permanent Professor

China Affairs Coordinator at INSA-Lyon Work group: MYRIAD: Modeling & analysis for medical imaging and diagnosisTel : (+33) 04 72 43 89 74 Fax:+33 (0)4 72 43 85 26

Email: yue-min.zhu@creatis.insa-lyon.fr

Publications since 2006

2022

1. L. H. Wang, Y.B. Qin, F. Yang, J. Yang, and Y. M. Zhu, "Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation,” Medical Image Analysis, vol. 77, April, 2022. doi.org/10.1016/j.media.2021.102325.

2. S. C. Guo, L. H. Wang, Q. J. Chen, W. Li, J. Zhang, Y. M. Zhu, "Multimodal MRI Image Decision Fusion-based Network for Glioma Classification,” Frontiers in Oncology, 2022. 10.3389/fonc.2022.819673.

3. X. X. Zhou, X. Y. Wang, E. H. Liu, L. Zhang, H. X. Zhang, X. S. Zhang, Y. M. Zhu, Z. X. Kuai, “An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver,” Journal of Magnetic Resonance Imaging, 2022. DOI: 10.1002/jmri.28074.

4. J. J. He, L. H. Wang, Y. Cao, R. P. Wang, and Y. M. Zhu, "Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping,” Frontiers in Neuroscience, 2022. https://doi.org/10.3389/fnins.2022.837721.

5. X. G. Xiong, L. H. Wang, Z. Li, C. Ye, Y. Chen, M. T. Fan, and Y. M. Zhu, "An adaptive high capacity reversible data hiding algorithm in interpolation domain,” Signal Processing, doi.org/10.1016/j.sigpro.2022.108458, 2022.

6. F. He, Y. M. Zhu, W. B. Wang, A. Nanding, Z. X. Kuai, X. M. Li, Z. J. Liu, "Multi-Instance Classification of Histopathological Breast Cancer Images with Visual Explanation," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

7. Y. L. He, L. H. Wang, F. Yang, P. Clarysse, M. Robini, Y. M. Zhu, "Effect of different configurations of diffusion gradient directions on accuracy of diffusion tensor estimation in cardiac DTI," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

8. C. Q. Jian, Y. B. Qin, L. H. Wang, H. Xia, Y. M. Zhu, "GST: A Brain-Inspired Graph Signal Transmitter for Biomedical Image Segmentation," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

9. Q. J. Chen, L. H. Wang, S. C. Guo, H. Xia, F. Yang, Y. M. Zhu, "Giloma grade prediciton using a cross-fusion network based on unsegmented multi-sequence magnetic resonance images," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

10. Z. Y. Deng, L. H. Wang, C. Ye, Y. Cao, F. Yang, Y. M. Zhu, "Adaptive temporal information fusion network for in vivo cardiac DTI motion compensation," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

11. K. Tang, L. H. Wang, X. Y. Cheng, H. Xia, F. Yang, Y. M. Zhu, "A dual-flow neural network for medical image registration," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

12. L. Wang, L. H. Wang, Q. J. Chen, F. Yang, Y. M. Zhu, "Spatial Attention based Semantic Decouple Network for Breast Tumor Segmentation," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

13. Y. Cao, L. H. Wang, J. Zhang, H. Xia, F. Yang, Y. M. Zhu, "Accelerating multi-echo MRI in k-space with complex-valued diffusion probabilistic model," in IEEE ICSP, Oct. 21-24, Beijing, China, in press, 2022.

2021

1. B. Q. Xie, Y. M. Zhu, P. Niu, T. Su, F. Yang, L. H. Wang, P. A. Rodesch, L. Boussel, Ph. Douek, Ph. Duvauchelle “Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning,” IEEE Access, 2021. 10.1109/ACCESS.2021.3134636.

2. X. S. Zhang, E. H. Liu, X. Y. Wang, X. X. Zhou, H. X. Zhang, Y. M. Zhu, X. Q. Sang, Z. X. Kuai, “Short-term repeatability of in vivo cardiac intravoxel incoherent motion (IVIM) tensor imaging in healthy human volunteers,” Journal of Magnetic Resonance Imaging, 2021. 10.1002/jmri.27847.

3. P. Niu, L. H. Wang, B. Q. Xie, M. Robini, L. Boussel, Ph. Douek, Y. M. Zhu, F. Yang, “Improved Image Reconstruction Using Multi-Energy Information in Spectral Photon-Counting CT,” IEEE Access, 2021. 10.1109/ACCESS.2021.3083505.

4. Y. L. Qin, Zheng, Y. Gu, X. L. Huang, J.Yang, L. H. Wang, F. Yao, Y.M. Zhu, G. Z. Yang, “Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation," IEEE Trans. on Medical Imaging, 2021. 10.1109/TMI.2021.3062280.

2020

1. C. Ye, D. Y. Xu, L. H. Wang, and Y. M. Zhu, "Application of machine learning on the modelling of diffusion Magnetic Resonance Imaging signal,” Journal of Physics Conference Series, 2020. 10.1088/1742-6596/1684/1/012124.

2. Z. Y. Deng, L. H. Wang, Z. X. Kuai, Q.J. Chen, X. Y. Cheng, F. Yang, J. Yang, and Y. M. Zhu, "Investigation of In Vivo Human Cardiac Diffusion Tensor Imaging using Unsupervised Dense Encoder-Fusion- Decoder Network,” IEEE Access, 2020. 10.1109/ACCESS.2020.3040330.

3. C. Ye, D. Y. Xu, L. H. Wang, R. P. Wang, and Y. M. Zhu, "Application of machine learning in optimizing b-value acquisition strategy of diffusion Magnetic Resonance Imaging,” Journal of Physics Conference Series, 2020. 10.1088/1742-6596/1682/1/012005.

4. X. S. Zhang, X. Q. Sang, Z. X. Kuai, H. X. Zhang, J. Lou, Q. Lu, Y. M. Zhu, “Investigation of Intravoxel Incoherent Motion Tensor Imaging for the Characterization of the In Vivo Human Heart,” Magnetic Resonance in Medicine, 2020. http://dx.doi.org/10.1002/mrm.28523.

5. Q. J. Chen, L. H. Wang, Z.Y. Deng, X. Y. Cheng, and Y. M. Zhu, "Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics,” IEEE Access, 2020. 10.1109/ACCESS.2020.3000895.

6. J.Q. Huang, L. H. Wang, J. Qin, Y. Chen, X. Y. Cheng, Y. M. Zhu, "Super-resolution of Intravoxel Incoherent Motion Imaging based on Multi-similarity," IEEE Sensors Journal, Vol. 20, 2020. DOI: 10.1109/JSEN.2020.2993873, pp. 10963-10973.

7. C. Ye, D. Y. Xu, Y. B. Qin, L. H. Wang, R. P. Wang, W. C. Li, Z. X. Kuai, and Y. M. Zhu, "Accurate IVIM Parameter Estimation Using Bayesian Fitting and Reduced Number of Low b-Values,” Medical Physics, 2020. DOI: 10.1002/mp.14233, Vol. 47, pp.4372-4385.

8. K. Tang, Z. Li, L.L. Li, L. H. Wang, and Y. M. Zhu, "ADMIR – Affine and Deformable Medical Image Registration for Drug-Addicted Brain Images,” IEEE Access, 2020. 10.1109/ACCESS.2020.2986829.

9. B.Q. Xie, P. Niu, T. Su, V. Kaftandjian, L. Boussel, Ph. Douek, F. Yang, Ph. Duvauchelle, Y. M. Zhu, “ROI-Wise Material Decomposition in Spectral Photon-Counting CT,” IEEE Trans. on Nuclear Science, vol. 67, pp. 1066-1075, 2020. DOI: 10.1109/TNS.2020.2985071.

10. M. Robini, F. Yang, Y.M. Zhu, "A stochastic approach to full inverse treatment planning for charged-particle therapy", Journal of Global Optimization, 2020. https://doi.org/10.1007/s10898-020-00902-2.

11. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “Classification-based material decomposition method for photon counting-based spectral radiography: application to plastic sorting,” Nucl. Instrum. Methods. Phys. Res. A, vol. 960, 2020. https://doi.org/10.1016/j.nima.2020.163537.

12. Y. L. He, L. H. Wang, F. Yang, P. Clarysse, and Y. M. Zhu, "Deep Group-Wise Angular Translation of Cardiac Diffusion MRI in q-space via Manifold Regularized GAN," in IEEE ICSP, 6-9 Dec. 2020, Beijing, China, pp.511-515, 2020.

13. Z. X. Li, X. N. Wang, L. H. Wang, J. Wen, Y. M. Zhu, F. Yang, "UNet-ESPC-Cascaded Super-Resolution Reconstruction in Spectral CT," in IEEE ICSP, 6-9 Dec. 2020, Beijing, China, pp. 516-520, 2020.

14. Y. L. Qin, H. Zheng, Y. Gu, X. L. Huang, J. Yang, L. H. Wang, Y.M. Zhu, "Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation," in MICCAI, Oct. 4-8, Lima, Peru, LNCS 12261, pp. 221–231, 2020. 15. Y. L. Qin, Y. Gu, H. Zheng, M. J. Chen., J. Yang, Y.M. Zhu, "AirwayNet-SE: A Simple-yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion," in ISBI, April 3-7, Iowa City, Iowa, USA, pp. 809-813, 2020.

16. Y. L. He, L. H. Wang, F. Yang, Y. Xia, P. Clarysse, and Y. M. Zhu, "Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging," in FIMH, Lecture Notes in Computer Science, vol 12738. Springer, Cham. https://doi.org/10.1007/978-3-030-78710-3_20, pp. 200-210, 2020.

17. T. Su, Ph. Duvauchelle, M. Tahraoui, Y. S. Ge, Y. M. Zhu, V. Kaftandjian, “Spectral Radiography and tomography for materials identification,”in COFREND, 08-10 Dec., Marseille, 2020.

2019

1. Y. L. Qin, Wen, J., Zheng, H., Huang, X., Yang, J., Song, N., Zhu Y.M., Wu, L., Yang, G.Z., “Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks", IEEE Trans. on Medical Imaging, vol. 38, no. 11, pp. 2569-2581, 2019, doi: 10.1109/TMI.2019.2905841.

2. Y. L. He, W. Z. Jiao, Y. F. Shi, J. Lian, B. J. Zhao, W. Zou, Y. M. Zhu, Y. J. Zheng, “Segmenting Diabetic Retinopathy Lesions in Multispectral Images Using Low-Dimensional Spatial-Spectral Matrix Representation", IEEE Journal of Biomedical and Health Informatics, 2019. 10.1109/JBHI.2019.2912668.

3. C. Y. Chu, C.Y. Sun, Z. X. Kuai, F. Yang, and Y. M. Zhu, "Structure Prior Constrained Estimation of Human Cardiac Diffusion Tensors,” IEEE Trans. on Biomedical Engineering, vol. 66, pp. 3220-3230, 2019. 10.1109/TBME.2019.2902381.

4. Y. Zhou, H. X. Zhang, X. S. Zhang, Y. F. Sun, K. B. He, X. Q. Sang, Y. M. Zhu, Z. X. Kuai, “Non-mono-exponential diffusion models forassessing early response of liver metastasesto chemotherapy in colorectal Cancer,” Cancer Imaging, 2019. https://doi.org/10.1186/s40644-019-0228-2.

5. J. P. Huang, L.H. Wang, C.Y. Chu, W. Y. Liu, Y. M. Zhu, "Accelerating cardiac diffusion tensor imaging combining local low-rank and 3D TV constraint," Magnetic Resonance Materials in Physics, Biology and Medicine, 2019. https://doi.org/10.1007/s10334-019-00747-1.

6. Y. L. Qin, H. Zheng, X. L. Huang, J. Yang, Y. M. Zhu, "Pulmonary nodule segmentation with CT sample synthesis using adversarial networks," Medical Physics, vol. 46, pp. 1218-1229, 2019. DOI: 10.1002/mp.13349.

7. C. Ye, D. Y. Xu, Y. B. Qin, L. H. Wang, R. P. Wang, W. C. Li, Z. X. Kuai, and Y. M. Zhu, "Estimation of Intravoxel Incoherent Motion Parameters Using Low b-Values,” PLOS ONE, 14(2), 2019. https://doi.org/10.1371/journal.pone.0211911.

8. J. P. Huang, L.H. Wang, Y. M. Zhu, "Compressed sensing MRI reconstruction with multiple sparsity constraints on radial sampling," Mathematical Problems in Engineering, 2019. https://doi.org/10.1155/2019/3694604.

9. B.Q. Xie, T. Su, V. Kaftandjian, P. Niu, F. Yang, M. Robini, Y. M. Zhu, Ph. Duvauchelle, “Material Decomposition in X-ray Spectral CT Using Multiple Constraints in Image Domain,” Journal of Nondestructive Evaluation, 2019. DOI: 10.1007/s10921-018-0551-8.

10. J. P. Huang, L.H. Wang, C.Y. Chu, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Compressed sensing MRI using data-driven tight frame and total generalized variation," Journal of Medical Imaging and Health Informatics, Vol. 9, pp. 724–734, 2019.

11. Y. L. Qin, M. J. Chen., H. Zheng, Y. Gu, M. L. Shen, J. Yang, X. L. Huang, Y.M. Zhu, G. Z. Yang, "AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks," in MICCAI, LNCS 11769, 13-17 Oct 2019, Shenzhen, China, pp. 212-220, 2019.

12. T. T. Miao, Y. H. Shen, L. H. Wang, W. Ji, Y. M. Zhu, F. Yang, “Intelligent Network Application in Computer-aided Diagnosis,” ICCSE2019, Jinan, China, Oct. 18 - 21, pp. 228-232, 2019.

13. E. Altinsoy, C. Yilmaz, J. Wen, L. Q. Wu, J. Yang, Y. M. Zhu, "Raw G-band chromosome image segmentation using U-net based neural network," in 18th International Conference on Artificial Intelligence and Soft Computing (ICAISC), LNCS 11509, Zakopane, Poland, June 16-20, pp. 117-126, 2019.

14. T. Su, Ph. Duvauchelle, M. Tahraoui, Y. M. Zhu, V. Kaftandjian, P. Radisson, “Applications of spectral radiography to materials identification: simulations and first experiments,” International Symposium on Digital Industrial Radiology and Computed Tomography (DIR-CT), June 11-15, Gothenburg, Sweden, to appear, 2019.

2018

1. M. Robini, F. Yang, Y.M. Zhu, "Inexact Half-Quadratic Optimization for Linear Inverse Problems," SIAM J. Imaging Sci., vol. 11, pp. 1078-1133, 2018.

2. Z. X. Kuai, X. Q. Sang, Y. F. Yao, C. Y. Chu, Y. M. Zhu, “Evaluation of non-mono-exponential diffusion models for hepatocellular carcinoma using b-values up to 2000 s/mm2: a short-term repeatability study,” Journal of Magnetic Resonance Imaging, 2018. DOI: 10.1002/jmri.26563.

3. F. Yang, Y. M. Zhu, G. Michalowicz, P. S. Jouk, L. Fanton, M. Viallon, P. Clarysse, P. Croisille, Y. Usson, “Quantitative comparison of human myocardial fiber orientations derived from dti and polarized light imaging,” Physics in Medicine and Biology, vol. 63, 2018. DOI: 10.1088/1361-6560/aae514.

4. S. L. Wang, W. Y. Liu, Z. X. Kuai, Y. M. Zhu, “Depiction of the Perfusion Components’ Volume Fraction Distribution in Generalized Intravoxel Incoherent Motion by Using Gaussian Mixture Model”, Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering, 2018. https://doi.org/10.1002/cmr.b.21399.

5. H. X. Zhang, X. S. Zhang, Z. X. Kuai, Y. Zhou, Y. F. Sun, Z. C. Ba, K. B. He, X. Q. Sang, Y. F. Yao, C. Y. Chu, Y. M. Zhu, “Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model”, Translational Oncology, Vol. 11, pp. 1370–1378, 2018.

6. J. P. Huang, W. L. Song, L.H. Wang, and Y. M. Zhu, "The Influence of Radial Undersampling Schemes on Compressed Sensing in Cardiac DTI," Sensors, vol. 18, 2018. DOI: 10.3390/s18072388.

7. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “A spectral X-ray CT simulation study for quantitative determination of iron,” Nuclear Inst. and Methods in Physics Research A, vol. 894, pp. 39-46, 2018.

8. H. Y. Li, M. Robini, Z. W. Zhou, W. Tang, Y. M. Zhu, "Nasal Mesh Unfolding – an Approach to Obtaining 2-D Skin Templates from 3-D Nose Models," in MICCAI, LNCS 11070, Sept 16-20, Granada, Spain, pp. 163–170, 2018.

9. Y.L. Qin, H. Zheng, Y. M. Zhu, J. Yang, "Simultaneous accurate detection of pulmonary nodules and false positive reduction using 3D CNNs," in ICASSP, April 15-20, Calgary, AB, Canada, pp. 1005-1009, 2018.

10. F. Yang, Y. M. Zhu, L. H. Wang, M. Robini, J. Pousin, P. Clarysse, "Probabilistic Atlas Construction of Human Cardiac Fiber Structure in DT-MRI," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 1154-1157.

11. J. P. Huang, L. H. Wang, Y. M. Zhu, "Compressed sensing cardiac DTI reconstruction using nonlocal low-rank regularization," in IEEE ICSP'18, Aug. 12-16, 2018, Beijing, China, pp. 1179-1183.

12. B. Liu, L. H. Wang, J. Zhang, X. Y. Cheng, F. Yang, J. P. Huang, Y. M. Zhu, "Cardiac diffusion tensor imaging simulation based on deep convolutional generative adversarial network," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 1189-1193.

13. C. X. Sun, L. H. Wang, W. Wang, X. Y. Cheng, Z. Li, J. Zhang, F. Yang, J. P. Huang, Y. M. Zhu, "Non-Small Cell Lung Cancer Staging Using Deep Restricted Boltzmann Machine," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 1175-1178.

14. W. Wang, Y. S. Wang, L. H. Wang, C. X. Sun, X. Y. Cheng, Z. Li, J. Zhang, F. Yang, Y. M. Zhu, "Predicting Lymph Node Metastasis of Lung Cancer Using Stacked Sparse Autoencoder," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 558-561.

15. J. X. Wei, L. H. Wang, J. Zhang, H. J. Wei, Y. Y Zhang, X. Y. Cheng, Z. Li, F. Yang, Y. M. Zhu, "Quantitative Susceptibility Mapping for Drug Addicted Human Brain," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 1184-1188.

16. P. Niu, M. Robini, B. Q. Xie, T. Su, V. Kaftandjian, F. Yang, Y. M. Zhu, Philippe Duvauchelle, "Simultaneous Reconstruction and Denoising of Spectral CT Images," in IEEE ICSP, Aug. 12-16, 2018, Beijing, China, pp. 1149-1153.

17. L.H. Wang, F. Yang, G. Michalowicz, Y. Usson, P. S. Jouk, R.P. Wang, Y. M. Zhu, "Investigation of Myocardial Fiber Crossings in the Human Heart Using Realistic HARDI Simulation Based on PLI," in ISMRM, June 16-21, Paris, France, in press, 2018.

18. J.Q. Huang, J. Qin, L.H. Wang, R.P. Wang, Z.X. Gui, C. Ye, T.Y. Wang, Y. M. Zhu, "CNN based super-resolution of intravoxel incoherent motion imaging for liver," in ISMRM, June 16-21, Paris, France, paper #4620, 2018.

19. S.F.Y. Wang, L.H. Wang, J. Zhang, R.P. Wang, X.F. Liu, Y. M. Zhu, "Quantitative comparison of multiple high angular resolution diffusion imaging techniques for myocardium," in ISMRM, June 16-21, Paris, France, paper #3237, 2018.

20. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “Plastic sorting by X-ray radioscopy with photon counting detector,” 12th European Conference on Non-Destructive Testing (12th ECNDT), June 11-15, Gothenburg, Sweden, 2p, 2018.

21. B.Q. Xie, T. Su, V. Kaftandjian, Ph. Duvauchelle, P. Niu, F. Yang, M. Robini, Y. M. Zhu, “Image Domain Local Joint Sparse Material Decomposition in Spectral CT,” 8th Conference on Industrial Computed Tomography (iCT), Feb. 7-9, Wels, Austria, pp. 139-140, 2018.

2017

1. J. H. Luo, Z.Y. Mou, B.J. Qin, W.Q. Li, Ph. Ogunbonad, M. Robini, Y. M. Zhu, "A singular k-space model for fast reconstruction of magnetic resonance images from undersampled data," Medical & Biological Eng & Computing, 2017. https://doi.org/10.1007/s11517-017-1763-2.

2. Z. X. Kuai, W. Y. Liu, Y. M. Zhu, “Effect of Multiple Perfusion Components on Pseudo-Diffusion Coefficient in Intravoxel Incoherent Motion Imaging”, Physics in Medicine and Biology, vol. 62, pp. 8197-8209, 2017.

3. Kong F.H., Liu W.Y., Magnin I. E, Zhu Y.M, “Cardiac Fiber Tracking Using Adaptive Sampling Based on Diffusion Fractional Anisotropy,”Journal of Medical Imaging and Health Informatics, vol. 7, pp. 1561-1565, 2017.

4. J. H. Luo, Z.Y. Mou, B.J. Qin, W.Q. Li, F. Yang, M. Robini, Y. M. Zhu, "Fast single image super-resolution using estimated low-frequency k-space data in MRI," Magn Reson Imaging, vol. 40, pp.1-11, 2017.

5. Wang, Y., Navarro, L., Zhang, Y., Kao, E., Zhu, YM., and Courbebaisse, G., "Intracranial aneurysm phantom segmentation using a 4D lattice Boltzmann method." Computing in Science & Engineering, vol. 19, pp. 56-67, 2017.

6. P. P. Zhang, Y. Qiao, S. Z. Wang, J. Yang, Y. M. Zhu, "A robust coherent point drift approach based on rotation invariant shape context," Neurocomputing, vol. 219, 455-473, 2017.

7. M. Robini, M. Ozon, C. Frindel, F. Yang and Y. M. Zhu, "Global diffusion tractography by simulated annealing," IEEE Trans. on Biomedical Engineering, Vol. 64, pp. 649 – 660, 2017.

8. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “Material decomposition for spectral CT: application to calcium and iodine identification,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

9. C. Y. Chu, Z.X. Kuai and Y. M. Zhu, "Estimation of multiple fiber orientations using nonconvex regularized spherical deconvolution,” IEEE 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 14-16 Oct. Shanghai, China, 2017, pp. 1-5.doi: 10.1109/CISP-BMEI.2017.8302190.

10. M. Robini, P. Niu, F. Yang, Y. M. Zhu, “Image reconstruction by nonconvex inexact half-quadratic optimization,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

11. Y. L. Zhang, M. Viallon, P. Croisille, Y. M. Zhu, W. Y. Liu, I. E. Magnin, "Enhancing human cardiac diffusion-weighted MR images using improved nonstationarity adaptive filtering,” in RITS, 27-29 March, Lyon, France, in press, 2017.

12. F. Yang, Y. M. Zhu, G. Michalowicz, Y. Usson, L. Fanton, M. Viallon, P. Clarysse, P. S. Jouk, P. Croisille, "Validation of dMRI-Derived Fiber Orientations Using PLI in Human Fetal Hearts," in ISMRM, 22-27 April 2017, Honolulu, HI, USA, pp. 4769, 2017.

13. T. Su, V. Kaftandjian, Ph. Duvauchelle, Ph. Douek, Y. M. Zhu, “Quantitative material decomposition method for spectral CT imaging,”7th Conference on Industrial Computed Tomography (iCT), Feb. 7-9, Leuven, Belgium, 2017, 2p.

14. C. Y. Chu, Z.X. Kuai and Y. M. Zhu, "Estimation of multiple fiber orientations using nonconvex regularized spherical deconvolution,” IEEE 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 14-16 Oct. Shanghai, China, 2017, pp. 1-5. doi: 10.1109/CISP-BMEI.2017.8302190.

15. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “Material decomposition for spectral CT: application to calcium and iodine identification,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

16. M. Robini, P. Niu, F. Yang, Y. M. Zhu, “Image reconstruction by nonconvex inexact half-quadratic optimization,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

17. Y. L. Zhang, M. Viallon, P. Croisille, Y. M. Zhu, W. Y. Liu, I. E. Magnin, "Enhancing human cardiac diffusion-weighted MR images using improved nonstationarity adaptive filtering,” in RITS, 27-29 March, Lyon, France, in press, 2017.

18. F. Yang, Y. M. Zhu, G. Michalowicz, Y. Usson, L. Fanton, M. Viallon, P. Clarysse, P. S. Jouk, P. Croisille, "Validation of dMRI-Derived Fiber Orientations Using PLI in Human Fetal Hearts," in ISMRM, 22-27 April 2017, Honolulu, HI, USA, pp. 4769, 2017.

19. T. Su, V. Kaftandjian, Ph. Duvauchelle, Ph. Douek, Y. M. Zhu, “Quantitative material decomposition method for spectral CT imaging,”7th Conference on Industrial Computed Tomography (iCT), Feb. 7-9, Leuven, Belgium, 2017, 2p.

20. C. Y. Chu, Z.X. Kuai and Y. M. Zhu, "Estimation of multiple fiber orientations using nonconvex regularized spherical deconvolution,” IEEE 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 14-16 Oct. Shanghai, China, 2017, pp. 1-5. doi: 10.1109/CISP-BMEI.2017.8302190.

21. T. Su, V. Kaftandjian, Ph. Duvauchelle, Y. M. Zhu, “Material decomposition for spectral CT: application to calcium and iodine identification,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

22. M. Robini, P. Niu, F. Yang, Y. M. Zhu, “Image reconstruction by nonconvex inexact half-quadratic optimization,” IEEE Nuclear Science Symposium & Medical Imaging Conference (IEEE NSS&MIC), Oct. 21-28, Atlanta, USA, 4p, 2017.

23. Y. L. Zhang, M. Viallon, P. Croisille, Y. M. Zhu, W. Y. Liu, I. E. Magnin, "Enhancing human cardiac diffusion-weighted MR images using improved nonstationarity adaptive filtering,” in RITS, 27-29 March, Lyon, France, in press, 2017.

24. F. Yang, Y. M. Zhu, G. Michalowicz, Y. Usson, L. Fanton, M. Viallon, P. Clarysse, P. S. Jouk, P. Croisille, "Validation of dMRI-Derived Fiber Orientations Using PLI in Human Fetal Hearts," in ISMRM, 22-27 April 2017, Honolulu, HI, USA, pp. 4769, 2017.

25. T. Su, V. Kaftandjian, Ph. Duvauchelle, Ph. Douek, Y. M. Zhu, “Quantitative material decomposition method for spectral CT imaging,”7th Conference on Industrial Computed Tomography (iCT), Feb. 7-9, Leuven, Belgium, 2017, 2p.

2016

1. V.Y. Wang, Ch. Casta, Y. M. Zhu, B. R. Cowan, P. Croisille, A. A. Young, P. Clarysse, M. P. Nash, "Image-based investigation of human in vivo myofibre strain," IEEE Trans. on Medical Imaging, vol. 35, pp. 2486-2496, 2016.

2. C. Y. Sun, Y. M. Zhu, C. Y. Chu, F. Yang, W. Y. Liu, J. R. Korenberg and E. W. Hsu, "Assessment of the characteristics of orientation distribution functions in hardi using morphological metrics,” PLOS ONE, 2016. http://dx.doi.org/10.1371/journal.pone.0150161.

3. Y. Wang, Y. Zhang, L. Navarro, O.F. Eker, R. A. C. Jerez, Y. Chen, Y. M. Zhu, G. Courbebaisse, "Multilevel segmentation of intracranial aneurysms in CT angiography images," Medical Physics, vol. 43, pp. 1777-, 2016. doi: 10.1118/1.4943375.

4. Z. X. Kuai, W. Y. Liu, Y. L. Zhang, Y. M. Zhu, “Generalization of intravoxel incoherent motion model by introducing the notion of continuous pseudo-diffusion variable,” Magnetic Resonance in Medicine, vol. 76, pp. 1594-1603, 2016.

5. P. A. Desrosiers, G. Michalowicz, P. S. Jouk, Y. Usson, and Y. M. Zhu, "Study of myocardial cell inhomogeneity of the human heart: simulation and validation using polarized light imaging," Medical Physics, 43(5), pp. 2273-2282, 2016.

6. J. P. Huang, L.H. Wang, C.Y. Chu, Y.L. Zhang, W. Y. Liu, and Y. M. Zhu, "Cardiac Diffusion Tensor Imaging Based on Compressed Sensing Using Joint Sparsity and Low-Rank Approximation," Technology and Health Care, vol. 24, S593–S599, 2016.

7. T. Zhang, W.J. Jia, Y. M. Zhu, J. Yang, "Automatic tracking of neural stem cells in sequential digital images," Biocybernetics and Biomedical Engineering, vol. 36, pp. 66–75, 2016.

8. F. H. Kong, W.Y. Liu, I. Magnin, Y. M. Zhu, “Cardiac fiber tracking using adaptive particle filtering based on tensor rotation invariant in MRI,” Physics in Medicine and Biology, vol. 61, pp. 1888 –1903, 2016.

9. I. Mirea, L. H. Wang, F. Varray, Y. M. Zhu, E. E. Davila Serrano, I. E. Magnin, "Statistical Analysis of Transmural Laminar Microarchitecture of the Human Left Ventricle," in IEEE ICSP'16, Nov. 6-10, 2016, Chengdu, China, pp. 53-56.

10. F. Yang, Y. M. Zhu, P. Kingsley, "A further investigation of the Euler angle calculation in diffusion tensor imaging," in IEEE ICSP'16, Nov. 6-10, 2016, Chengdu, China, pp. 39-43.

11. H. Y. Li, M. Robini, F. Yang, and Y. M. Zhu, "Towards a Simplified Cardiac Fiber Architecture -Multiscale Fiber Merging," in IEEE ICSP'16, Nov. 6-10, 2016, Chengdu, China, pp. 35-38.

12. H. B. Du, L. H. Wang, W. Y. Liu, F. Yang, Z. Li and Y. M. Zhu, "Diffusion MRI simulation for human brain based on the atlas," in IEEE ISBI, April 13-16, Prague, Czech Republic, 2016, pp. 898-902.

13. C.Y. Sun, L. H. Wang, F. Yang and Y. M. Zhu, "Investigation of intravoxel fiber configuration complexity in the human heart," in ISMRM, May 07-13, Singapore, pp. 3451, 2016.

14. M. Robini, Y. M. Zhu, X. D. Lv, W.Y. Liu, “Inexact half-quadratic optimization for image reconstruction,” in IEEE ICIP, doi: 10.1109/ICIP.2016.7533013, 2016.

15. M. Robini, Y. M. Zhu, W.Y. Liu, I. Magnin, “A stochastic framework for spot-scanning particle therapy,” in IEEE EMBC, doi: 10.1109/EMBC.2016.7591257, pp. 2578-2581, Aug., 2016.

16. H.M. Xin and Y. M. Zhu, "Spot matching of 2-DE images using distance, intensity and pattern information," in 2-D PAGE Map Analysis: Methods and Protocols, Humana Press, Springer, USA, vol. 1384, pp 109-117, 2016.

2015

1. C. Y. Chu, J. P. Huang, C.Y. Sun, Y.L. Zhang, W. Y. Liu, and Y. M. Zhu, "Estimating Intravoxel Fiber Architecture Using Constrained Compressed Sensing Combined with Multitensor Adaptive Smoothing,” International Journal of Imaging Systems and Technology, vol. 25, no. 4, pp. 285-296, 2015.

2. C.Y. Sun, C. Y. Chu, W. Y. Liu, E. W. Hsu, J. R. Korenberg and Y. M. Zhu, "Quantitative Representation and Description of Intravoxel Fiber Complexity in HARDI,” Physics in Medicine and Biology, vol. 60, pp. 8417-36, 2015.

3. M. Robini, Y.M. Zhu, "Generic Half-Quadratic Optimization for Image Reconstruction," SIAM J. Imaging Sci., vol. 8, pp. 1752–1797, 2015.

4. C. Y. Chu, J. P. Huang, C.Y. Sun, Y.L. Zhang, W. Y. Liu, and Y. M. Zhu, "Multifiber pathway reconstruction using bundle constrained streamline,” Computerized Medical Imaging and Graphics, vol. 46, part 3, pp. 291-299, 2015.

5. F. H. Kong, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "A New Cardiac Fiber Tracking Method Using Particle Filtering in MRI," Journal of Medical Imaging and Health Informatics, vol. 5, 1438-1443, 2015.

6. C. Y. Chu, J. P. Huang, C.Y. Sun, W. Y. Liu, and Y. M. Zhu, "Resolving Intravoxel Fiber Architecture Using Nonconvex Regularized Blind Compressed Sensing,” Physics in Medicine and Biology, vol. 60, pp. 2339–2354, 2015.

7. R. Wang, C. Li, J. Wang, X. E. Wei, Y. H. Li, C. Hui, Y. M. Zhu, and S. Zhang, "Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution," Neuroradiology, vol. 57, pp. 307–320, 2015.

8. Y. P. Song, J. Yang, Y. Qiao, and Y. M. Zhu, "Volume visualization based on the intensity and SUSAN transfer function spaces," Biomedical Signal Processing and Control, vol. 18, pp. 110-117, 2015.

9. R. Wang, C. Li, J. Wang, X. E. Wei, Y. H. Li, C. Hui, Y. M. Zhu, and S. Zhang, "Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images," Journal of Neuroscience Methods, vol. 241, pp. 30-36, 2015.

10. Y. P. Song, J. Yang, L. Zhou, and Y. M. Zhu, "Electric-Field-Based Transfer Functions for Volume Visualization," Journal of Medical and Biological Engineering, vol. 35, pp. 270-277, 2015.

11. H. Y. Li, M. Robini, F. Yang, I. E. Magnin, and Y. M. Zhu, "Cardiac Fiber Unfolding by Semidefinite Programming," IEEE Trans.on Biomedical Engineering, vol. 62, pp. 582-592, 2015.

12. H. J. Wei, M. Viallon, B. M. A. Delattre, K. Moulin, F. Yang, P. Croisille, and Y. M. Zhu, "Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion," IEEE Trans. on Medical Imaging, vol. 34, pp. 306-316, 2015.

13. I. Mirea, F. Varray, Y.M. Zhu, L. Fanton, M. Langer, P.S. Jouk, G.Michalowicz, Y. Usson, I. E. Magnin. "Very High-Resolution Imaging of Post-Mortem Human Cardiac Tissue using X-ray Phase Contrast Tomography,” in FIMH 2015, LNCS 9126, 2015, pp. 172-179.

14. J.P. Huang, L.H. Wang, C.Y. Chu, Y.L. Zhang, W.Y. Liu, Y.M. Zhu. "Compressed sensing MR image reconstruction using data-driven tight frame," in GRETSI, 8-11 Sept., Lyon, 2015, 4p.

15. C.Y. Sun, C.Y. Chu, F. Yang, W.Y. Liu, I.E. Magnin, Y.M. Zhu. "Characteristic Assessment of Three-Dimensional Point Clouds in HARDI Using Morphological Metrics," in GRETSI, 8-11 Sept., Lyon, 2015, 4p.

2014

1. R. Wang, C. Li, J. Wang, X. E. Wei, Y. H. Li, C. Hui, Y. M. Zhu, and S. Zhang, "Automatic segmentation of white matter lesions on magnetic resonance images of the brain by using an outlier detection strategy," Magnetic Resonance Imaging, vol. 32, pp. 1321–1329, 2014.

2. F. Yang, Y. M. Zhu, J. H. Luo, M. Robini, J. Liu, and P. Croisille, "A comparative study of different level interpolations for improving spatial resolution in diffusion tensor imaging," IEEE Journal of Biomedical and Health Informatics, vol. 18, pp. 1317-1327, 2014.

3. R. Wang, C. Li, J. Wang, X. E. Wei, Y. H. Li, C. Hui, Y. M. Zhu, and S. Zhang, "Automatic Segmentation and Quantitative Analysis of White Matter Hyperintensities on FLAIR Images Using Trimmed-Likelihood Estimator," Academic Radiology, vol. 21, pp. 1512–1523, 2014.

4. M. Ozon, M. Robini, and Y. M. Zhu, "Global DT-MRI Tractography Using Elastic Graphs," in IEEE EMBC, Chicago, USA, 2014, August 26-30, 1p.

5. H. Y. Li, M. Robini, and Y. M. Zhu, "Unfolding Cardiac Fibers by Dimensionality Reduction," in IEEE EMBC, Chicago, USA, 2014, August 26-30, 1p.

6. F. H. Kong, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Cardiac fiber tracking using particle filtering in MRI," in IEEE International Conference on Information Science and Technology (ICIST), Shenzhen, China, April 26-28 , 2014, pp. 329-331.

7. X. Song, F. Yang, L. Fanton, P. Croisille, and Y. M. Zhu, "Maximum energy tracking approach to reconstructing human cardiac fibers from DTI," in IEEE ICSP, Hangzhou, China, 2014, October 19-23, pp. 1041-1045.

8. J. H. Luo, W. Q. Li, Z. L. Jing, and Y. M. Zhu, "Image Reconstruction from Limited-Angle Projections Using Sparsifying Operators," in IEEE ICSP, Hangzhou, China, 2014, October 19-23, pp. 1123-1126.

9. L. H. Wang, Y. M. Zhu, F. Yang, W. Y. Liu, and I. E. Magnin, "Simulation of dynamic DTI of 3d cardiac fiber structures," in IEEE ISBI, Beijing, China, April 28-May 2, 2014, pp.714-717.

10. J. P. Huang, W. Y. Liu, L. H. Wang, and Y. M. Zhu, "Combining total variation with nonlocal self-similarity constraint for compressed sensing MRI," in IEEE ISBI, Beijing, China, April 28-May 2, 2014, pp. 1063-1066.

11. F. Yang, Y. M. Zhu, M. A. Zuluaga, and P. Croisille, "Influence of post diffusion tensor image processing on fa measure of myocardial infarction in porcine model," in ISMRM, Milan, Italy, 2014, 10-16 May, pp. 2575.

12. J. Wang, R. Wang, S. Zhang, J. Ding, Y. M. Zhu, "Automatic segmentation of brain MR images for patients with different kinds of epilepsy," in IEEE International Conference on Smart Computing (SMARTCOMP), Hong Kong, China, 2014, Nov. 05, pp. 216-220.

13. M. Robini and Y. M. Zhu, "Nonconvex half-quadratic image reconstruction with wavelet-domain sparsity constraints," in International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), July 21-24, 2014, Las Vegas, USA, 1p.

2013

1. H. J. Wei, M. Viallon, B. M. A. Delattre, L. H. Wang, V. M. Pai, H. Wen, H. Xue, C. Guetter, P. Croisille, and Y. M. Zhu, "Assessment of cardiac motion effects on the fiber architecture of the human heart in vivo," IEEE Trans. on Medical Imaging, vol. 32, pp. 1928-1938, 2013.

2. Q. G. Liu, D. Liang, Y. Song, J. H. Luo, Y. M. Zhu, and W. S. Li, "Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring," SIAM J. Imaging Sci., vol. 6, pp. 1689–1718, 2013.

3. H. M. Xin and Y. M. Zhu, "Accurate nonlinear registration for two-dimensional gel electrophoresis images," Journal of Biological Systems, vol. 21, p. DOI: 10.1142/S0218339013500204, 2013.

4. M. Robini, Y. M. Zhu, and J. H. Luo, "Edge-preserving reconstruction with contour-line smoothing and non-quadratic data-fidelity," Inverse Problems and Imaging, vol. 7, pp. 1331-1366, 2013.

5. Q. G. Liu, S. S. Wang, K. Yang, J. H. Luo, Y. M. Zhu, and D. Liang, "Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating," IEEE Trans. on Medical Imaging, vol. 32, pp. 1290-1301, 2013.

6. Y. L. Zhang, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Feature-Preserving Smoothing of Diffusion Weighted Images Using Nonstationarity Adaptive Filtering," IEEE Trans. on Biomedical Engineering, vol. 60, pp. 1693-1701, 2013.

7. L. J. Bao, M. Robini, W. Y. Liu, and Y. M. Zhu, "Structure-adaptive sparse denoising for diffusion-tensor MRI," Medical Image Analysis, vol. 17, pp. 442–457, 2013.

8. M. Ozon, M. Robini, P. Croisille, C. Frindel, and Y. M. Zhu, "Toward temporal fiber," in Computing in Cardiology, Zaragoza, Spain, 2013, pp. 567-570.

9. L. B. Zhang, W. J. Ma, X. Shen, Y. H. Li, L. Chen, Y. M. Zhu, and S. Zhang, "Research on the lesion segmentation of breast tumor MR images based on FCM-DS theory," in 13th International Symposium on Therapeutic Ultrasound, Shanghai, China, 2013, May 12-16, pp. 1-4.

10. R. Wang, X. Shen, Y. H. Li, Y. M. Zhu, C. Hui, and S. Zhang, "Lesion segmentation in acute cerebral infarction based on Dempster-Shafer theory," in International Conference on Wavelet Analysis and Pattern Recognition 2013, Tianjin, China, 2013, July 14 - 17, pp. 209-214.

11. H. J. Wei, M. Viallon, B. M. A. Delattre, V. M. Pai, H. Wen, H. Xue, C. Guetter, M.-P. Jolly, T. Feiweier, P. Croisille, and Y. M. Zhu, "Quantitative analysis of cardiac motion effects on in vivo diffusion tensor parameters," in ISMRM 2013, Salt Lake City, Utah, USA, 2013, April 20-26 p. 0482.

12. H. J. Wei, M. Viallon, B. M. A. Delattre, V. M. Pai, H. Wen, H. Xue, C. Guetter, M.-P. Jolly, T. Feiweier, P. Croisille, and Y. M. Zhu, "In vivo diffusion tensor imaging of the human heart with free-breathing in healthy volunteers," in ISMRM 2013, Salt Lake City, Utah, USA, 2013, April 20-26, pp. 0575.

13. C. Casta, V. Y. Wang, Y. M. Zhu, B. R. Cowan, P. Croisille, A. A. Young, M. P. Nash, and P. Clarysse, "Estimation of in vivo myocardial fibre strain using an architectural atlas of the human heart," in FIMH 2013, LNCS 7945, London, June 20-22, 2013, June 20-22, pp. 208-215.

14. F. Varray, L. H. Wang, L. Fanton, Y. M. Zhu, and I. E. Magnin, "High resolution extraction of local human cardiac fibre orientations," in FIMH 2013, , LNCS 7945, London, June 20-22, 2013, pp. 150-157.

15. H. J. Wei, M. Viallon, B. M. A. Delattre, V. M. Pai, H. Wen, H. Xue, C. Guetter, M.-P. Jolly, T. Feiweier, P. Croisille, and Y. M. Zhu, "Quantitative Investigation of Cardiac Motion Effects on in-vivo Diffusion Tensor Parameters: a simulation study," in Society for Cardiovascular Magnetic Resonance (SCMR) 2013, San Francisco, CA., 2013, January 31 - February 3, pp. 397-398.

16. H. J. Wei, M. Viallon, B. M. A. Delattre, V. M. Pai, H. Wen, H. Xue, C. Guetter, M.-P. Jolly, T. Feiweier, P. Croisille, and Y. M. Zhu, "In vivo cardiac diffusion tensor imaging in free-breathing conditions " in Society for Cardiovascular Magnetic Resonance (SCMR) 2013, San Francisco, CA., 2013, January 31 - February 3, pp. 382-383.

17. P. A. Desrosiers, G. Michalowicz, P. S. Jouk, Y. Usson, and Y. M. Zhu, "Modeling of the optical behavior of myocardial fibers in polarized light imaging," in MICCAI'12 Workshop on Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. LNCS 7746, 2013, pp. 235–244.

18. R. Stoica, J. Pousin, C. Casta, P. Croisille, Y. M. Zhu, and P. Clarysse, “Integrating fiber orientation constraint into a spatio-temporal FEM model for heart borders and motion tracking in dynamic MRI,” in MICCAI'12 Workshop on Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. LNCS 7746, 2013, pp. 355-363.

2012

1. B. M. A. Delattre, M. Viallon, H. J. Wei, Y. M. Zhu, T. Feiweier, V. M. Pai, H. Wen, and P. Croisille, "In vivo Cardiac Diffusion-Weighted MRI: Quantification of Normal Perfusion and Diffusion Coefficients with Intravoxel Incoherent Motion Imaging," Investigative Radiology, vol. 47, pp. 662-70, 2012.

2. J. H. Luo, S. S. Wang, W. Q. Li, and Y. M. Zhu, "Removal of truncation artefacts in magnetic resonance images by recovering missing spectral data," Journal of Magnetic Resonance, vol. 224, pp. 82-93, 2012.

3. J. H. Luo, Y. M. Zhu, W. Q. Li, P. Croisille, and I. E. Magnin, "MRI Reconstruction From 2D Truncated k-Space," Journal of Magnetic Resonance Imaging, vol. 35, pp. 1196–1206, 2012.

4. S. S. Wang, Y. Xia, Q. G. Liu, J. H. Luo, Y. M. Zhu, and D. D. Feng, "Gabor Feature Based Nonlocal Means Filter for Textured Image Denoising," Journal of Visual Communication and Image Representation, vol. 23, pp. 1008–1018, 2012.

5. J. H. Luo and Y. M. Zhu, "Denoising of Medical Images Using a Reconstruction-Average Mechanism," Digital Signal Processing, vol. 22, pp. 337–347, 2012.

6. L. H. Wang, Y. M. Zhu, H. Y. Li, W. Y. Liu, and I. E. Magnin, "Multiscale Modeling and Simulation of the Cardiac Fiber Architecture for DMRI," IEEE Trans. on Biomedical Engineering, vol. 59, pp. 16-19, 2012.

7. F. Yang, Y. M. Zhu, I. E. Magnin, J. H. Luo, P. Croisille, and P. B. Kingsley, "Feature-Based Interpolation of Diffusion Tensor Fields and Applications to Human Cardiac DT-MRI," Medical Image Analysis, vol. 16, pp. 459–481, 2012.

8. Q. G. Liu, S. S. Wang, J. H. Luo, Y. M. Zhu, and M. Ye, "An augmented Lagrangian approach to general dictionary learning for image denoising," J. Visual Communication and Image Representation, vol. 5, pp. 753-766, 2012.

9. L. H. Wang, S. Camarasu-Pop, T. Glatard, Y. M. Zhu, and I. E. Magnin, "Diffusion MRI simulation with the Virtual Imaging Platform," in Journées scientifiques mésocentres et France Grilles, Paris, 2012, 1 - 3 octobre 2012, pp.1-4.

10. F. Yang, Y. M. Zhu, M. Robini, and P. Croisille, "DT-MRI Interpolation: at What Level?," in IEEE ICSP'12, Beijing, China, 2012, October 21-25, pp. 737-740.

11. B. M. A. Delattre, M. Viallon, H. Xue, M. P. JFractalolly, H. J. Wei, Y. M. Zhu, V. M. Pai, H. Wen, and P. Croisille, "Intravoxel Incoherent Motion Modeling Applied to Cardiac Diffusion Weighted MRI: toward Free Breathing Acquisition in Healthy Volunteers," in ISMRM, Melbourne, Australia, 2012, May 5-11, p. 313.

12. V. Y. Wang, C. Casta, P. Croisille, P. Clarysse, Y. M. Zhu, B. R. Cowan, A. A. Young, and M. P. Nash, "Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged mri using FE modelling," in IEEE ISBI, Barcelona, Spain, 2012, May 2-5, pp. 46-49.

13. H. Y. Li, M. Robini, F. Yang, and Y. M. Zhu, "A Neighborhood-Based Probabilistic Approach for Fiber Tracking in Human Cardiac DTI," in IEEE ISBI, Barcelona, Spain, 2012, May 2-5, pp. 9-13.

14. B. M. A. Delattre, M. Viallon, H. J. Wei, Y. M. Zhu, V. M. Pai, H. Wen, and P. Croisille, "Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI using breath-hold acquisitions in healthy volunteers," in Society for Cardiovascular Magnetic Resonance (SCMR) 2012, Orlando, Florida, February 2-5, 2012, p. 261.

15. S. T. Suo, Y. H. Li, Y. Z. Chen, Y. M. Zhu, and S. Zhang, "Study on Cerebral Infarction in Rat Brain with Diffusional Kurtosis Imaging," in World Congress on Medical Physics and Biomedical Engineering, Beijing, China, 2012, May 26-31, pp. 995-998.

16. M. Robini, Y. M. Zhu, and J. H. Luo, "A generic half-quadratic algorithm for signal reconstruction," in Proc. 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham, UK, 2012, December 17-20, 2012, p. 4p.

2011

1. K. Xie, S. Yang, and Y. M. Zhu, "3D visualization and simulation in surgical planning system of orbital hypertelorism," Journal of Medical Systems, vol. 35, pp. 617-23, 2011.

2. X. Song, F. Liu, Z. J. Zou, Y. M. Zhu, J. C. Yin, and F. Xu, "Nonlinear underwater robot controller design with adaptive disturbance prediction and smoother," International Journal of Computational Intelligence Systems, vol. 4, pp. 634-643, 2011.

3. J. H. Luo, J. H. Liu, W. Q. Li, and Y. M. Zhu, R.Y. Jiang, "Image Reconstruction from Sparse Projections Using S-Transform," Journal of Mathematical Imaging and Vision, vol. 10.1007/s10851-011-0307-x, 2011.

4. Y. Wang, Y. M. Zhu, G. Courbebaisse, and L. H. Ding, "Detection and extraction of feature points in robot vision using Lattice Boltzmman method," Science Technology and Engineering, vol. 11, pp. 8045-8048, 8054, 2011.

5. N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Kernel Feature Selection to Fuse Multi-spectral MRI Images for Brain Tumor Segmentation," Computer Vision and Image Understanding, vol. 115, pp. 256 - 269, 2011.

6. Q. G. Liu, J. H. Luo, and Y. M. Zhu, "Adaptive Image Decomposition by Improved Bilateral Filter," International Journal of Computer Applications, vol. 23, pp. 0975 – 8887, 2011.

7. N. Zhang, Q. M. Liao, S. Ruan, S. Lebonvallet, and Y. M. Zhu, "Brain tumor segmentation and evaluation system based on 3-D information," Journal of Tsinghua University, vol. 51, pp. 96-100, 2011.

8. F. Yang, Y. M. Zhu, S. Rapacchi, J. H. Luo, M. Robini, and P. Croisille, "Interpolation of Vector Fields from Human Cardiac DT-MRI," Physics in Medicine and Biology, vol. 56, pp. 1415–1430, 2011.

9. K. Sun, Y. L. Wu, X. L. Lin, S. D. Cheng, Y. M. Zhu, and S. Zhang, "Mean Shift-Based Lesion Detection of Gastroscopic Images," in Intelligence Science and Intelligent Data Engineering (IScIDE), LNCS, Xi'an, China, 2011, October 23-26, pp. 167–174.

10. X. Shen, S. H. Zhang, R. Yao, Y. Q. Chen, Y. M. Zhu, and S. Zhang, "Discrimination between Benign and Malignant Breast Cancers in Ultrasound Images Based on Cost-sensitive Boosting," in Intelligence Science and Intelligent Data Engineering (IScIDE), LNCS, Xi'an, China, 2011, October 23-26, pp. 136-144.

11. Y. Wang, G. Courbebaisse, and Y. M. Zhu, "Segmentation of Giant Cerebral Aneurysms Using a Multilevel Object Detection Scheme Based on Lattice Boltzmann Method," in IEEE International Conference on Signal Processing, Communications and Computing, Xi'an, China, 2011, September 14-16, pp. 1-4.

12. F. H. Kong, W. Y. Liu, P. Wang, I. E. Magnin, and Y. M. Zhu, "Cardiac Fiber Tracking Using Particle Filtering In MRI," in Computing in Cardiology 2011, Hangzhou, China, 2011, 18-21 September pp. 1-4.

13. C. Y. Chu, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Adaptive Diffusion Basis Functions Decomposition for Estimating Intra-voxel Myocardium Fiber Geometry," in International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), Shanghai, China, 2011, October 15-17, 96-99.

14. C. Y. Sun, X. S. Qin, L. H. Wang, and Y. M. Zhu, "Recovering Missing Diffusion Signal Data for Reconstructing Fiber Orientations," in International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), Shanghai, China, 2011, October 15-17, pp. 238-242.

15. M. C. Robini, P. J. Viverge, Y. M. Zhu, and J. H. Luo, "Globally convergent edge-preserving reconstruction with contour-line smoothing," in International Conference on Pattern Recognition and Computer Vision (ICPRCV) and J. World Acad. of Sci., Eng. and Technol., Amsterdam, Netherlands, 2011, July 13-15, pp. 885-890.

16. C. Casta, P. Clarysse, J. Pousin, J. Schaerer, P. Croisille, and Y. M. Zhu, "Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information," in FIMH 2011, LNCS 6666, 2011, pp. 137–144.

17. L. H. Wang, Y. M. Zhu, H. Y. Li, W. Y. Liu, and I. E. Magnin, "Simulation of Diffusion Anisotropy in DTI for Virtual Cardiac Fiber Structure," in FIMH 2011, LNCS 6666, 2011, pp. 95–104.

18. S. Ruan, N. Zhang, Q. M. Liao, and Y. M. Zhu, "Image Fusion for Following-up Brain Tumor Evolution," in IEEE International Symposium on Biomedical Imaging, Chicago, 2011, March 30-April 2 pp. 281 – 284.

19. Wang, S. S., Q. G. Liu, J.H. Luo, Y.M. Zhu. "A novel hybrid compressed sensing image reconstrcution method." In International Conference on Electronics and Optoelectronics (ICEOE), 2011, 29 – 31 July V1-56 - V51-60.

20. X. Song, Y. M. Zhu, F. Yang, and J. H. Luo, "Analysis of Myocardial Fiber Structure Using DTI," in The 2nd Conference on Future Computer and Communication (FCC 2010), Shanghai, China, 2010, September 28-29, pp. 109-112.

2010

1. M. Berkane, P. Clarysse, J. Y. Njiwa, Y. M. Zhu, and I. E. Magnin, "A neural network based summarizing method of periodic image sequences," Neural Network World, vol. 20, pp. 687-703, 2010.

2. C. Frindel, M. Robini, J. Schaerer, P. Croisille, and Y. M. Zhu, "A graph-based approach for automatic cardiac tractography," Magnetic Resonance in Medicine, vol. 64, pp. 1215–1229, 2010.

3. J. Y. Njiwa, Y. M. Zhu, J. H. Luo, and B. Hiba, "Reconstruction of Cardiac Cine MR Images from Partial k-Space," SRX Physics, Article ID 850392 • doi:10.3814/2010/850392, 2010.

4. J. H. Luo, W. Q. Li, and Y. M. Zhu, "Reconstruction from Limited-Angle Projections Based on -u Spectrum Analysis," IEEE Trans. on Image Processing, vol. 19, pp. 131-140, 2010.

5. K. Xie and Y. M. Zhu, "Interactive Surgery Simulation for the Nose Augmentation Using CT Data," Neural Computing & Applications, vol. 19, pp. 61-65, 2010.

6. J. H. Luo, Y. M. Zhu, and B. Hiba, "Medical Image Denoising Using One-Dimensional Singularity Function Model," Computerized Medical Imaging and Graphics, vol. 34, pp. 167–176, 2010.

7. J. H. Luo, S. S. Wang, M. Y. Xiao, L. Zhang, and Y. M. Zhu, "Magnetic Resonance Image Denoising Using Spectral Data Substitution," in 3rd International Conference on Image and Signal Processing (CISP'10), Yantai, China, 16-18 October 2010, pp. 738-743.

8. S. Ruan, N. Zhang, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Fusion and Classification of Multi-Source Images by SVM with Selected Features in a Kernel Space," in IEEE Workshops on Image Processing Theory, Tools and Applications, Paris, 2010, pp. 17-20.

9. C. Casta, P. Clarysse, J. Pousin, J. Schaerer, P. Croisille, and Y. M. Zhu, "Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI," in MICCAI'10 workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function, LNCS 6364: Springer-Verlag Berlin Heidelberg, pp. 174-183, 2010.

10. Y. L. Zhang, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Enhancement of Human Cardiac DT-MRI Data Using Locally Adaptive Filtering," in IEEE ICSP, Beijing, China, 2010, October 24-28, pp. 744-747.

11. F. Yang, Y. M. Zhu, X. Song, J. H. Luo, and P. Clarysse, "Interpolation of Human Cardiac DT-MRI Data Using Polar Coordinates," in IEEE ICSP, Beijing, China, 2010, October 24-28, pp. 678-681.

12. X. Song, Y. M. Zhu, F. Yang, and J. H. Luo, "Quantitative Study of Fiber Tracking Results in Human Cardiac DTI," in IEEE ICSP, Beijing, China, 2010, October 24-28, pp. 724-727.

2009

1. J. H. Luo, Y. M. Zhu, and I. E. Magnin, "Denoising by Averaging Reconstructed Images: Application to Magnetic Resonance Images," IEEE Trans. on Biomedical Engineering, vol. 56, pp. 666-674, 2009.

2. C. Frindel, M. Robini, P. Croisille, and Y. M. Zhu, "Comparison of regularization methods for human cardiac diffusion tensor MRI," Medical Image Analysis, vol. 13, pp. 405-418, 2009.

3. J. H. Luo, H. Luo, and Y. M. Zhu, "Image Reconstruction Scheme Based on Phase Correction and Singularity Function Analysis Model," Journal of Signal Processing Systems, vol. 54, pp. 79-88, 2009.

4. F. Shi, J. Yang, and Y. M. Zhu, "Automatic segmentation of bladder in CT images," Journal of Zhejiang University: Science A, vol. 10, pp. 239-246, 2009.

5. L. J. Bao, Y. M. Zhu, W. Y. Liu, P. Croisille, Z. B. Pu, M. Robini, and I. E. Magnin, "Denoising human cardiac diffusion tensor magnetic resonance images using sparse representation combined with segmentation," Physics in Medicine and Biology, vol. 54, pp. 1435-1456, 2009.

6. H. M. Xin and Y. M. Zhu, "Multiple information-based spot matching method for two-dimensional gel electrophoresis images," Electrophoresis, vol. 30, pp. 2477-2480, 2009.

7. H. X. Qin, J. Yang, and Y. M. Zhu, "A Feature-Preserving Filtering Algorithm for Point Set Surface and Surface Attributes Based on Robust Statistics," Journal of Information Science and Engineering, vol. 25, pp. 1135-1146, 2009.

8. N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Multi-kernel SVM based classification for image segmentation of MRI multi-sequence," in IEEE ICIP, Cairo, Egypt, November 7-11, 2009, pp. 3373-3376.

9. C. Frindel, M. Robini, J. Schaerer, P. Croisille, and Y. M. Zhu, "Improved global cardiac tractography with simulated annealing," in IEEE ICIP, Cairo, Egypt, November 7-11, 2009, pp. 813-816.

10. J. Y. Njiwa, M. Berkane, J. H. Luo, P. Clarysse, I. E. Magnin, and Y. M. Zhu, "Reconstruction of Cardiac Cine MR Images Using Analytic Image and Neural Networks," in IEEE 6th International International Symposium on Image and Signal Processing and Analysis Salzburg, Austria, 2009, September 16-18, in press.

11. H. M. Xin and Y. M. Zhu, "New Registration Method for Two-dimensional Gel Electrophoresis Images," in 2nd International Conference on BioMedical Engineering and Informatics (BMEI'09), Tianjin, China, 2009, Oct. 17-19, 4p.

12. L. J. Bao, W. Y. Liu, Z. B. Pu, L. Fanton, S. Rapacchi, P. Croisille, Y. M. Zhu, and I. E. Magnin, "An adaptive denoising method dedicated to cardiac MR-DTI," in 2nd International Conference on Image and Signal Processing (CISP), Tianjin, China, 2009, Oct. 17-19, 4p.

13. F. Yang, Y. M. Zhu, X. Song, S. Rapacchi, P. Croisille, and M. Robini, "Interpolation et débruitage du champ de vecteurs 3-D en IRM cardiaque du tenseur de diffusion," in GRETSI, Dijon, France, 2009, 8-11 septembre 2009, 4p.

14. S. Ruan, N. Zhang, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Fusion et classification d'images multi-sources par SVM avec sélection des caractéristiques dans l'espace à noyau," in GRETSI, Dijon, France, 2009, 8-11 septembre 2009, 4p.

15. M. C. Robini, P. J. Viverge, Y. M. Zhu, and I. E. Magnin, "Edge-Preserving Image Reconstruction with Wavelet-Domain Edge Continuation," in International Conference on Image Analysis and Recognition ICIAR 2009, Halifax, Canada, 2009, July 6-8, pp. 13-22.

16. N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "SVM Based Follow-up System for Brain Tumor evolution from Magnetic Resonance Images," in 7th IFAC Symposium on Modelling and Control in Biomedical Systems, Aalborg, Denmark, 2009, August 12-14, pp. 292-297.

17. J. M. Chen, L. Zhang, J. H. Luo, and Y. M. Zhu, "MRI Reconstruction From 2D Partial k-Space Using POCS Algorithm," in International Conference on Bioinformatics and Biomedical Engineering (ICBBE), 3rd International Conference, Beijing, China, 2009, June 11- 13, pp. 2662-2665.

18. L. Zhang, J. M. Chen, Y. M. Zhu, and J. H. Luo, "Comparisons of several new de-noising methods for medical images," in International Conference on Bioinformatics and Biomedical Engineering (ICBBE), 3rd International Conference, Beijing, China, 2009, June 11- 13, pp. 2092-2095.

19. F. Yang, X. Song, S. Rapacchi, L. Fanton, P. Croisille, and Y. M. Zhu, "Noise-Reduced TPS Interpolation of Primary Vector Fields for Fiber Tracking in Human Cardiac DT-MRI," in FIMH, Nice, France, LNCS 5528, 2009, June 3 - 5, pp. 78-86.

20. C. Frindel, M. Robini, J. Schaerer, P. Croisille, and Y. M. Zhu, "Cardiac Fibre Trace Clustering for the interpretation of the Human Heart Architecture," in FIMH, Nice, France, LNCS 5528, 2009, June 3 - 5, pp. 39-48.

21. N. Zhang, Q. M. Liao, S. Ruan, S. Lebonvallet, and Y. M. Zhu, "Multi-kernel SVM based classification for tumor segmentation by fusion of MRI images," in IEEE international workshop on Image Systems and Techniques (IST 2009), ShenZhen, China, 2009, may 11-12, pp. 71 -75.

2008

1. W. Y. Liu, Z. J. Tang, Y. M. Zhu, W. H. Liu, S. Hu, Y. L. Zhang, L. H. Wang, and I. E. Magnin, "Novel data enhancement technology for ultrasonic stereovision," Optics and Precision Engineering, vol. 16, pp. 1759-1766, 2008.

2. J. H. Luo, Y. M. Zhu, and I. E. Magnin, "Phase Correction-Based Singularity Function Analysis for Partial k-Space Reconstruction," Magnetic Resonance Imaging, vol. 26, pp. 746-53, 2008.

3. K. Xie, J. Yang, and Y. M. Zhu, "The 3D Cutting Algorithm Based on Surface Reconstruction," Sciencepaper Online, June, 2008.

4. K. Xie, S. Yang, and Y. M. Zhu, "High-Quality Multi-resolution Volume Rendering Based on Medical Dataset," Sciencepaper Online, June, 2008.

5. H. X. Qin, J. Yang, and Y. M. Zhu, "Nonuniform Bilateral filtering for Point Sets and Surface Attributes," The Visual Computer-International Journal of Computer Graphics, vol. 24, pp. 1067-1074, 2008.

6. H. X. Qin, J. Yang, and Y. M. Zhu, "Novel Meshless Method for Point Set Surface Processing," Optical Engineering, vol. 47, p. DOI:10.1117/1.2911720, 2008.

7. K. Xie, J. Yang, and Y. M. Zhu, "Real-time visualization of large volume datasets on standard PC hardware," Computer methods and programs in biomedicine, vol. 90, pp. 117-123, 2008.

8. H. M. Xin, Y. M. Zhu, and R. Goutte, "Investigation of the role of spot pattern information in two-dimensional gel electrophoresis image registration," in IEEE ICSP Beijing, China, 2008, October 26-29, pp. 2170-2173.

9. J. H. Luo, L. Zhang, Y. G. Bai, X. Y. Ding, and Y. M. Zhu, "Representation of Signals and Images by Complex Coefficient Weighted Singularity Functions," in IEEE ICSP Beijing, China, 2008, October 26-29, pp. 1071-1074.

10. L. J. Bao, W. Y. Liu, Y. M. Zhu, B. P. Zhao, and I. E. Magnin, "Sparse representation based MRI denoising with total variation," in IEEE ICSP Beijing, China, 2008, October 26-29, pp. 2154-2157.

11. C. Frindel, J. Schaerer, P. Gueth, P. Clarysse, Y. M. Zhu, and M. Robini, "A global approach to cardiac tractography," in ISBI 2008. Paris, France, 2008, May 14-17, pp. 883-886.

2007

1. K. Xie, G. Sun, J. Yang, and Y. M. Zhu, "Interactive volume cutting of medical data," Computers in Biology and Medicine, vol. 37, n° 8, pp. 1155-1159, 2007.

2. J. Milles, Y. M. Zhu, G. Gimenez, C. R. G. Guttmann, and I.Magnin, "MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information," Computerized Medical Imaging and Graphics, vol. 31, pp. 81-90, 2007.

3. P. Miao, B. Hiba, J. H. Luo, D. Sappey-Marinier, I. Magnin, and Y. M. Zhu, "MR Image Reconstruction from Partial k-Space Using Singularity Function Representation," Nuclear Instruments and Methods in Physics Research A, vol. 571, pp. 239-242, 2007.

4. K. Xie, J. Yang, and Y. M. Zhu, "Real-time volume rendering of large datasets on standard PC hardware," Computer Applications, vol. 27, pp. 1129-31, 2007.

5. J. Y. Njiwa, Y. M. Zhu, M. C. Robini, and I. Magnin, "Magnetic Resonance Image Reconstruction Using Analytic Image Representation," Nuclear Instruments and Methods in Physics Research A, vol. 571, pp. 73-76, 2007.

6. K. Xie, J. Yang, and Y. M. Zhu, "Fast collision detection based on nose augmentation virtual surgery," Computer Methods and Programs in Biomedicine, vol. 88, pp. 1-7, 2007.

7. W. Y. Liu, Y. L. Zhang, W. H. Liu, S. Hu, Y. M. Zhu, and I. E. Magnin, "A robust algorithm based on nonstationary degree for ultrasonic data enhancement," in IEEE SMC. Montréal, Canada, 2007, Octobre 8-10, pp. 1061-1066.

8. H. M. Xin, Y. M. Zhu, and L. F. Wu, "A Comparative Study of Adaptive Registration Methods for Two Dimensional Gel Electrophoresis Images," in IEEE Embc. Lyon, France, 2007, August 23-26, pp. 6239-6242.

9. J. Y. Njiwa, B. Hiba, and Y. M. Zhu, "Cardiac Cine MR Reconstruction From Partial k-Space Using the Notion of Analytic Image," in IEEE Embc. Lyon, France, 2007, August 23-26, pp. 2057-2060.

10. J. H. Luo and Y. M. Zhu, "Magnetic Resonance Image Reconstruction Using Equation System Solving-Based Singularity Function Analysis," in IEEE Embc. Lyon, France, 2007, August 23-26, pp. 751-754.

11. C. Frindel, M. Robini, S. Rapacchi, E. Stephant, Y. M. Zhu, and P. Croisille, "Towards in vivo diffusion tensor MRI on human heart using edge-preserving regularization," in IEEE Embc. Lyon, France, 2007, August 23-26, pp. 6007-6010.

12. L. J. Bao, Y. M. Zhu, W. Y. Liu, M. Robini, Z. B. Pu, and I. Magnin, "Analysis of Cardiac Diffusion Tensor Magnetic Resonance Images Using Sparse Representation," in IEEE Embc. Lyon, France, 2007, August 23-26, pp. 4516-4519.

13. W. Gao, Y. M. Zhu, S. Rapacchi, E. Stephan, L. Fanton, and P. Croisille, "Analyse spatio-directionnelle des images de tenseur de diffusion en IRM cardiaque par ondelettes," in JRIM 2007. Dijon, France, 2007, 6 - 7 septembre, pp. 33.

14. Rapacchi, C. Frindel, E. Stephant, L. Fanton, Y. M. Zhu, and P. Croisille, "Vers un modèle statistique des fibres du myocarde chez l'homme en IRM de tenseur de diffusion," in JRIM 2007. Dijon, France, 2007, 6 - 7 septembre, pp. 32.

2006

1. X. L. Li, J. Yang, and Y. M. Zhu, "Digitally reconstructed radiograph generation by an adaptive Monte Carlo method," Physics in Medicine and Biology, vol. 51, pp. 2745-2752, 2006.

2. X. L. Li, J. Yang, and Y. M. Zhu, "Combining Estimators for Monte Carlo Volume Rendering with shading," The Visual Computer-International Journal of Computer Graphics, vol. 22, pp. 468-477, 2006.

3. J. Milles, Y. M. Zhu, N. K. Chen, L. Panych, G. Gimenez, and C. R. G. Guttmann, "Computation of Transmitted and Received B1 Fields in Magnetic Resonance Imaging," IEEE Trans. on Biomedical Engineering, vol. 53, pp. 885-895, 2006.

4. X. L. Li, J. Yang, K. Xie, and Y. M. Zhu, "High-Quality Rendering with Depth Cueing of Volumetric Data Using Monte Carlo Integration," Computers In Biology And Medicine, vol. 36, pp. 1014-1025, 2006.

5. B. Belaroussi, J. Milles, S. Carme, Y. M. Zhu, and H. Benoit-Cattin, "Intensity Non-uniformity Correction in MRI: Existing Methods and Their Validation," Medical Image Analysis, vol. 10, pp. 234-246, 2006.

6. Z. Q. Yu, Y. Zhu, J. Yang, and Y. M. Zhu, "A Hybrid Region-Boundary Model for Cerebral Cortical Segmentation in MRI," Computerized Medical Imaging and Graphics, vol. 30, pp. 197-208, 2006.