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Xiaoliu Zhang
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2020 – today
- 2022
- [c13]Indranil Guha, Xiaoliu Zhang, Punam K. Saha:
Clinical CT-based assessment of trabecular bone shear modulus using nonlinear finite element modelling. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [c12]Indranil Guha, Syed Ahmed Nadeem, Xiaoliu Zhang, Steven M. Levy, James C. Torner, Punam K. Saha:
Unsupervised GAN-CIRCLE for high-resolution reconstruction of bone microstructure from low-resolution CT scans. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c11]Indranil Guha, Chamith S. Rajapakse, Xiaoliu Zhang, Gregory Chang, Punam K. Saha:
Finite element modelling of trabecular bone microstructure using emerging CT images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [j1]Chenyu You, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Eric A. Hoffman, Ge Wang, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang:
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE). IEEE Trans. Medical Imaging 39(1): 188-203 (2020) - [c10]Indranil Guha, Syed Ahmed Nadeem, Chenyu You, Xiaoliu Zhang, Steven M. Levy, Ge Wang, James C. Torner, Punam K. Saha:
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170U - [c9]Xiaoliu Zhang, Elena M. Letuchy, Steven M. Levy, James C. Torner, Punam K. Saha:
CT-based characterization of transverse and longitudinal trabeculae and its applications. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171F
2010 – 2019
- 2018
- [c8]Jiale Xu, Yingying Tang, C. Cecilio Baro, Xiaoliu Zhang, Ziyu Meng, Yao Li:
Left fimbria atrophy is associated with hippocampal metabolism in female major depressive disorder patients. EMBC 2018: 1136-1139 - [c7]Xiaoliu Zhang, Cheng Chen, Gregory Chang, Punam K. Saha:
Shape-Based Smoothing of Binary Digital Objects Using Signed Distance Transform. ISVC 2018: 576-584 - [c6]Xiaoliu Zhang, Cheng Chen, Sean Boone, Vivek Joshi, Arakua Welbeck, Guoyuan Liang, Gregory Chang, Punam K. Saha:
MRI-based active shape model of the human proximal femur using fiducial and secondary landmarks and its validation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781L - [i1]Chenyu You, Yi Zhang, Xiaoliu Zhang, Guang Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Punam K. Saha, Ge Wang:
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE). CoRR abs/1808.04256 (2018) - 2017
- [c5]Cheng Chen, Dakai Jin, Xiaoliu Zhang, Steven M. Levy, Punam K. Saha:
Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371T - [c4]Dakai Jin, Jia Lu, Xiaoliu Zhang, Cheng Chen, ErWei Bai, Punam K. Saha:
Direct biomechanical modeling of trabecular bone using a nonlinear manifold-based volumetric representation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371U - [c3]Xiaoliu Zhang, Yingying Tang, Shanbao Tong, Yao Li:
Study of intrinsic functional connectivity from medial prefrontal cortex in female with major depressive disorders. NER 2017: 66-69 - 2016
- [c2]Cheng Chen, Dakai Jin, Xiaoliu Zhang, Steven M. Levy, Punam K. Saha:
Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities. ACCV Workshops (3) 2016: 3-15 - [c1]Xiaoliu Zhang, Yingying Tang, Yisheng Zhu, Yao Li, Shanbao Tong:
Study of functional brain homogeneity in female patients with major depressive disorder. EMBC 2016: 2562-2565
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