News

Autism diagnosis paper written by Wee was just accepted by Human Brain Mapping. Congratulation!

The paper information is below:

"Diagnosis of Autism Spectrum Disorders Using Regional and Interregional Morphological Features", accepted for Human Brain Mapping, 2013. [Chong-Yaw Wee, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen]

Congratulations on Biao for his connectivity classification paper that has been accepted by IEEE Transactions on Biomedical Engineering.

The paper information is below:

"Integration of Network Topological and Connectivity Properties for Neuroimaging Classification", accepted for IEEE Transactions on Biomedical Engineering, 2013. [Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen]

Shihui's paper (HUGS) has been accepted by Neuroimage. Congratulations!

The paper information is below:

"Hierarchical Unbiased Graph Shrinkage (HUGS): A Novel Groupwise Registration Method for Large Data Set", accepted for Neuroimage, 2013. [Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen]

Congratulations on Yap's paper on resolution enhancement of DWI, which is just accepted by Neuroimage

The paper information is below:

"Fiber-Driven Resolution Enhancement of Diffusion-Weighted Images", accepted for Neuroimage, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]

Congratulations on Feng Liu's paper accepted by NeuroImage.

The paper information is below:

"Inter-Modality Relationship Constrained Multi-modality Multi-Task Feature Selection for Alzheimer's Disease and Mild Cognitive Impairment Identification", accepted for Neuroimage. [Feng Liu, Chong-Yaw  Wee, Huafu Chen, Dinggang Shen]

Congratulations on Yaping's paper, on Brain Extraction, accepted by PLOS ONE.

The paper information is below:

 

"Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates", accepted for PLOS ONE 2013. [Yaping Wang, Jingxin Nie, Pew-Thian Yap, Gang Li, Feng Shi, Xiujuan Geng, Lei Guo, Dinggang Shen]

Congratulations on Li for his neonatal segmentation paper which was just accepted by Neuroimage

The paper information is below:

"Segmentation of Neonatal Brain MR Images using Patch-Driven Level Sets", accepted for Neuroimage 2013. [Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen]

Congratulations on Billy's PAMI paper which was just accepted.

The paper information is below:

"A Markov Random Field Groupwise Registration Framework for Face Recognition", accepted for IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013. [Shu Liao, Dinggang Shen, Albert C.S. Chung]

Zi-wen's paper on study of cortical thickness network on OCD patients has been accepted by Brain Structure and Function. Congratulations!

The paper information is below:

"Disrupted cortical network as a vulnerability marker for obsessive-compulsive disorder", accepted for Brain Structure and Function, 2013. [Ziwen Peng, Feng Shi, Changzheng Shi, Qiong Yang, Raymond C.K. Chan, Dinggang Shen]

Minjeong's paper on segmentation of hippocampus in 7.0 Tesla MRI has been accepted by Neuroimage. Congratulations!

The paper information is below:

"Automatic Hippocampus Segmentation of 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models", accepted for Neuroimage, 2013. [Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen]

Biao's paper on graph-kernel based MCI classification has been accepted by Human Brain Mapping. Congratulations.

The paper information is below:

"Topological Graph Kernel on Multiple Thresholded Functional Connectivity Networks for MCI Classification", accepted for Human Brain Mapping, 2013. [Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen]

Nineteen MICCAI papers accepted from IDEA group

19 MICCAI papers accepted from IDEA group

We have 19 papers accepted for MICCAI 2013. We had 13 papers in MICCAI 2012, and 11 papers in MICCAI 2011. (Besides, this year we also have 4 IPMI papers (out of 62 accepted papers) and 3 CVPR papers.)

These 19 MICCAI papers are listed here: https://www.med.unc.edu/bric/ideagroup/Publications/conference-papers, and also below.

  1. "Deep Learning-based Feature Representation for AD/MCI Classification", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Heung-Il Suk, and Dinggang Shen]
  2. "Inter-Modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]
  3. "High-order Graph Matching based Feature Selection for Alzheimer's Disease Identification", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen]
  4. "Multi-Atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen]
  5. "Automated segmentation of CBCT image using spiral CT atlases and convex optimization", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [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]
  6. "Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Li Wang, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen]
  7. "Manifold Regularized Multi-task Feature Selection for Multi-modality Classification in Alzheimer’s Disease", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen]
  8. "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]
  9. "Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Shu Liao, Yaozong Gao, and Dinggang Shen]
  10. "Unsupervised Deep Feature Learning for Deformable Image Registration of MR Brains", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Guorong Wu, Qian Wang, Minjeong Kim, Shu Liao, Yaozong Gao, and Dinggang Shen]
  11. "Minimizing Joint Risk of Mislabeling for Iterative Patch-based Label Fusion", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Guorong Wu, Feiping Nie, Qian Wang, Shu Liao, Daoqiang Zhang, and Dinggang Shen]
  12. "Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Yaozong Gao, Yiqiang Zhan, Dinggang Shen]
  13. "Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Chong-Yaw Wee, Yang Li, Biao Jie, Zi-wen Peng, and Dinggang Shen]
  14. "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, and Dinggang Shen]
  15. "A Generative Model for Resolution Enhancement of Diffusion MRI Data", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]
  16. "Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]
  17. "Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]
  18. "Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Jian Cheng, Tianzi Jiang, Rachid Deriche, Dinggang Shen, Pew-Thian Yap]
  19. "Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013. [Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu]

Congratulations on Li for his paper accepted for PLOS ONE

The paper information is below:

"4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation", accepted for PLOS ONE, 2013. [Li Wang, Feng Shi, Gang Li, Dinggang Shen]

Congratulations on Yu's for his 4DCT paper accepted for Medical Physics

The paper information is as follows:

"Resolution Enhancement of Lung 4D-CT Data Using Multi-Scale Inter-Phase Iterative Non-Local Means", accepted for Medical Physics 2013. [Yu Zhang, Pew-Thian Yap, Guorong Wu, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen]

Congratulations on Feng for his PLoS ONE paper

The paper information is below:

“Altered Modular Organization of Structural Cortical Networks in Children with Autism”, accepted for PLOS ONE, 2013. [Feng Shi, Li Wang, Ziwen Peng, Chong-Yaw Wee, and Dinggang Shen]

Two IPMI papers were selected as oral

The paper information is below:

  • "The Non-Local Bootstrap – Estimation of Uncertainty in Diffusion MRI", IPMI 2013, Asilomar, California, USA, Jun. 29 - Jul. 3, 2013. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]
  • "Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models", IPMI 2013, Asilomar, California, USA, Jun. 29 - Jul. 3, 2013. [Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu]

Jingxin's paper on Cortical Development has been accepted by Neuroimage. Congratulations!

The paper information is as follows:

"Development of cortical anatomical properties from early childhood to early adulthood", accepted for Neuroimage, 2013. [Jingxin Nie, Gang Li, Dinggang Shen]

Congratulations on Yakang for his paper just accepted by PLOS ONE

The paper information is as follows:

"aBEAT: A Toolbox for Consistent Analysis of Longitudinal Adult Brain MRI", accepted for PLOS ONE, 2013. [Yakang Dai, Yaping Wang, Li Wang, Guorong Wu, Feng Shi, Dinggang Shen]

All of our three submitted papers have been accepted by CVPR. Congratulations!

The paper information is below:

“Groupwise Registration via Graph Shrinkage on the Image Manifold”, CVPR, June 25-27, 2013, Oregon, USA. [Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen]

“Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso (SCOTO)”, CVPR, June 25-27, 2013, Oregon, USA. [Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, and Dinggang Shen]

“Discriminative Brain Effective Connectivity Analysis for Alzheimer’s Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network”, CVPR, June 25-27, 2013, Oregon, USA. [Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen]

Congratulations on Bo for his paper accepted by Neuroinformatics

The paper information is below:

"Semi-supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers", accepted Neuroinformatics, 2013. [Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen]