List of accepted abstracts:

[1] “Super-Resolution Reconstruction from Orthogonal Slice-Undersampled Diffusion MRI Data”, 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Yoonmi Hong, Geng Chen,  Pew-Thian Yap*, and Dinggang Shen*] * Co-corresponding authors (Oral paper)

[2] “Learning-based MR-CT Registration for Guiding Thermal Ablation of Liver Tumors”, 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Dongming Wei, Sahar Ahmad, Pu Huang, Pew-Thian Yap, Zhong Xue, Qian Wang*, and Dinggang Shen*] 

[3] “Longitudinal Surface-Volume Consistent Infant Brain Atlases”, 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap* and Dinggang Shen*] (Oral Alternate paper)

[4] “Development of Graph Theoretical Biomarkers in Early Infancy”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Weixiong Jiang, Han Zhang*, Dinggang Shen*]

[5] “Comparison of Four Radiomics-based Classification Methods in Diagnosis of Breast Lesions with Multi-b Diffusion-Weighted MR imaging”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019.  [Kun Sun, Zhicheng Jiao, Xu Yan, Han Zhang, Jie-Zhi Cheng, Fuhua Yan*, Dinggang Shen*] (Oral paper)

[6] “Learning Effective Radiomic Features for Characterization of Breast Lesions with Multi-b Diffusion-Weighted MR Imaging”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019.  [Kun Sun, Zhicheng Jiao, Xu Yan, Han Zhang, Jie-Zhi Cheng, Dinggang Shen*, Fuhua Yan*] (Oral Alternate paper)

[7] “DS U-net: Deeply Supervised U-net for Fetal Brain Extraction”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019.  [Jingjiao Lou, Dengwang Li*, Toan D. Bui, Fenqiang Zhao, Liang Sun, Gang Li*, Dinggang Shen*] (Oral paper)

[8] “Quantifying Tissue Microstructure Non-Gaussianity in the Presence of Fiber Dispersion”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019.  [Khoi Minh Huynh, Ye Wu, Geng Chen, Kim-Han Thung, Weili Lin, Dinggang Shen*, and Pew-Thian Yap] (Oral Alternate paper)

[9] “Multiscale Modeling of Intra-Regional and Inter-Regional Connectivities and Their Alterations in Major Depressive Disorder”, 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu*, Han Zhang*, and Dinggang Shen*] (Oral paper).

[10] “Prediction of Multi-Shell Diffusion MRI Data Using Deep Neural Networks with Diffusion Loss”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019.  [Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Weili Lin, Dinggang Shen*, and Pew-Thian Yap] (Oral paper)

[11] “Common-space-learning from Multi-modality for Missing MRI Synthesis and Glioma Grading”,105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Pu Huang, Han Zhang*, Zhicheng Jiao, Dongming Wei, Feng Shi, Dengwang Li*, and Dinggang Shen*]

[12] “Symmetrical Functional Connectivity Strength Between Bilateral Anterior Heschl’s Gyri are Negatively Associated with Receptive Function During Infancy”, 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. [Koji Yamashita, Han Zhang, Tengfei Li, Xuyun Wen, Bin Jing, Tae-Eui Kam, Liming Hsu, Pew-Thian Yap, Li Wang, Gang Li, Kristine Baluyot, Brittany Howell, Martin Styner, Essa Yacoub, Geng Chen, Taylor Potts, John Gilmore, Joseph Piven, Keith Smith, Kamil Ugurbil, Jed Elison, Heather Hazlett, Hongtu Zhu, Dinggang Shen, Weili Lin] (Oral Alternate paper)