Presentations

Wui Chong, MD, presented, “Incidental Testicular Masses” as an invited lecturer at the 20th European Symposium on Urogenital Radiology in Istanbul, Turkey, in September 2013.

Cherie Kuzmiak, DO, presented, “The Digital Platform: Applications of Current and Future Breast Imaging” as an invited lecturer at the 6th Annual Breast Cancer Symposium in Peoria, IL, in September 2013.

Yueh Z. Lee, MD, PhD, presented, “From Atomic Bombs to Cancer Treatments: The Broad Scope of Nuclear Chemistry,” offered by the UNC Department of Chemistry as a first-year seminar in September 2013.

Richard Semelka, MD, presented, “Perform Body MRI Studies” as a visiting professor at the University of Vienna in Vienna, Austria, in July 2013. 

Richard Semelka, MD, presented, “How to Manage Artifacts in Body MRI” as a visiting professor at Sapienza University in Rome, Italy, in July 2013. 

Richard Semelka, MD, presented, “To Biopsy or Not to Biopsy” as visiting faculty at the 15th Annual Western Canadian Gastrointestinal Cancer Consensus Conference in Winnipeg, Canada, in September 2013. 

Dinggang Shen, PhD, gave multiple presentations as an invited lecturer at the 23rd Biennial International Conference on Information Processing in Medical Imaging (IPMI 2013) in Asilomar, CA, in July 2013.

  • "Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration” as an invited lecturer at Information Processing in Medical Imaging (IPMI 2013) in Asilomar, CA in July 2013. [Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen].
  •  “The Non-Local Bootstrap – Estimation of Uncertainty in Diffusion MRI.”. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]
  • “Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.”  [Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen]
  • “Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.” [Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu]

Dinggang Shen, PhD, gave multiple presentations as an invited lecturer at the 16th International Medical Image Computing and Computer Assisted Intervention (MICCAI) Conference in Nagoya, Japan, in September 2013.  

  •  “Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images” [Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen]
  • “Sparse Multimodal Manifold-regularized Transfer Learning for MCI Conversion Prediction” [Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen]
  • “Identification of Alzheimer's Disease Using Incomplete Multi-modal Dataset via Matrix Shrinkage and Completion." [Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen]
  • “Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR images,” [Manhua Liu, Heung-Il Suk, Dinggang Shen]
  • “Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification.". [Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen]
  • “Integrating Multiple Network Properties for MCI Identification.” [Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Heung-Il Suk, Dinggang Shen]
  • “Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images” [Minjeong Kim, Guorong Wu, Dinggang Shen]
  • "Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification”  [Heung-Il Suk, Chong-Yaw Wee, and Dinggang Shen]
  • "Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap". [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]
  • "Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation" [Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap]
  • "Deep Learning-based Feature Representation for AD/MCI Classification", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Heung-Il Suk, Dinggang Shen]
  • "Inter-Modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification." [Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]
  • "High-order Graph Matching based Feature Selection for Alzheimer's Disease Identification” [Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]
  • “Multi-Atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants.” [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen]
  • “Automated segmentation of CBCT image using spiral CT atlases and convex optimization” [Li Wang, Ken Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen]
  • "Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation.” [Li Wang, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen]
  • "Manifold Regularized Multi-task Feature Selection for Multi-modality Classification in Alzheimer’s Disease.” [Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen]
  • "Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Arnav Bhavsar, Guorong Wu, Dinggang Shen]
  • “Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation” [Shu Liao, Yaozong Gao, Dinggang Shen]
  • “Unsupervised Deep Feature Learning for Deformable Image Registration of MR Brains” [Guorong Wu, Qian Wang, Minjeong Kim, Shu Liao, Yaozong Gao, Dinggang Shen]
  • “Minimizing Joint Risk of Mislabeling for Iterative Patch-based Label Fusion” [Guorong Wu, Feiping Nie, Qian Wang, Shu Liao, Daoqiang Zhang, Dinggang Shen]
  • “Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy.” [Yaozong Gao, Yiqiang Zhan, Dinggang Shen]
  • “Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks” [Chong-Yaw Wee, Yang Li, Biao Jie, Zi-wen Peng, Dinggang Shen]
  • “Low-Rank Total Variation for Image Super-Resolution", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen]
  • “A Generative Model for Resolution Enhancement of Diffusion MRI Data.” [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]
  • “Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.”. [Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]
  • “Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization” [Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]
  • “Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning.” [Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap]
  • “Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI.” [Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu]