News

Fourteen (14) MICCAI papers accepted from IDEA group, along with other 16 MICCAI Workshop papers.

We have 14 papers accepted for MICCAI 2014. We had 19 papers in MICCAI 2013, 13 papers in MICCAI 2012, and 11 papers in MICCAI 2011. (Besides, this year we also have 3 CVPR papers.)

 

These 14 MICCAI papers (and other 16 MICCAI workshop papers) are listed here: https://www.med.unc.edu/bric/ideagroup/Publications/conference-papers, and also below.

  1. “Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Yanrong Guo, Guorong Wu, Weili Lin, Dinggang Shen]
  2. “Clustering-Induced Multi-Task Learning for AD/MCI Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Heung-Il Suk, Dinggang Shen]
  3. “Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Jian Cheng, Dinggang Shen, Pew-Thian Yap]
  4. “Hierarchical Label Fusion with Multiscale Feature Representation and Label-specific Patch Partition”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Guorong Wu, Dinggang Shen]
  5. “A Novel Multi-Relation Regularization Method for Regression and Classification in AD Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]
  6. “Multi-Modality Canonical Feature Selection for Alzheimer's Disease Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]
  7. “Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen]
  8. “Robust Anatomical Landmark Detection for MR Brain Image Registration”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen]
  9. “Multiple-Network Classification of Childhood Autism using Functional Connectivity Dynamics”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen]
  10. “Brain Connectivity Hyper-network for MCI Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Biao Jie, Dinggang Shen, Daoqiang Zhang]
  11. “Maximum-Margin based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen]
  12. “Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji]
  13. “Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken Chung Chen, Jianfu Li, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, James Xia, Dinggang Shen]
  14. “Max-margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data”, MICCAI 2014, Boston, USA, Sep. 14-18, 2014. [Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen]

Yap’s TMI paper on diffusion MRI has been accepted. Congratulations.

The paper information is below:

"Uncertainty Estimation in Diffusion MRI Using The Non-Local Bootstrap”, accepted for IEEE Trans. On Medical Imaging, 2014. [Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen]

Guan’s paper on multi-task learning for MCI identification has been accepted by PLOS ONE. Congratulations!

The paper information is below:

"Multi-task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals," accepted for PLOS ONE, 2014. [Guan Yu , Yufeng Liu, Kim-Han Thung, Baiguo An, Dinggang Shen]

Congratulations on Rui for his AD diagnosis paper accepted by Human Brain Mapping.

The paper information is below:

"Multi-Atlas based Representations for Alzheimer's Disease Diagnosis”, accepted for Human Brain Mapping, 2014. [Rui Min, Guorong Wu, Jian Cheng, Qian Wang, Dinggang Shen]

Three papers were accepted by CVPR 2014. Congratulations!

Three papers were accepted, with one as oral and other two as poster.

Congratulations on Feng’s neonatal brain atlas paper accepted by Human Brain Mapping.

The paper information is below:

"Neonatal Atlas Construction Using Sparse Representation”, accepted for Human Brain Mapping, 2014. [Feng Shi, Li Wang, Guorong Wu, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen]

Congratulations on Li’s CBCT segmentation paper that was just accepted by Medical Physics.

The paper information is below:

"Automated Bone Segmentation from Dental CBCT images using Patch-based Sparse Representation and Convex Optimization”, accepted for Medical Physics, 2014. [Li Wang, Ken Chung Chen, Yaozong Gao, Feng Shi, Shu Liao, Gang Li, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, Nancy X. Liu,e, James J. Xia, Dinggang Shen]

Gang’s paper on longitudinal cortical gyrification study has been accepted by Journal of Neuroscience. Congratulations!

The paper information is below:

 

"Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age”, accepted for Journal of Neuroscience, 2014. [Gang Li, Li Wang, Feng Shi, Amanda E Lyall, Weili Lin, John H Gilmore, Dinggang Shen]

Yang’s paper on using causal relationship in Resting-fMRI for MCI classification has been accepted for Neuroinformatics. Congratulations!

The paper information is below:


"Sparse multivariate autoregressive modeling for Mild Cognitive Impairment Classification”, accepted for Neuroinformatics, 2014. [Yang Li, Chong-Yaw Wee, Biao Jie, Ziwen Peng, Dinggang Shen]

BTW, Wee is the co-first author for this paper.

Yeqin’s paper on lung field segmentation with sparse representation techniques has been accepted by IEEE Transactions on Medical Imaging. Congratulations!

The paper information is below:

"Hierarchical Lung Field Segmentation with Joint Shape and Appearance Sparse Learning”, accepted for IEEE Trans. On Medical Imaging, 2014. [Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen]

BTW, Yaozong is the co-first author for this paper as well.

Henry's paper on incomplete multi-modality data analysis was accepted by Neuroimage. Congratulations!

The paper information is below:

"Neurodegenerative Disease Diagnosis using Incomplete Multi-Modality Data via Matrix Shrinkage and Completion", accepted for Neuroimage, 2014. [Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen]

Gang's paper on 4D cortical surface reconstruction of infant brain images has been accepted by Neuroimage. Congratulations!

The paper information is below:

"Measuring the Dynamic Longitudinal Cortex Development in Infants by Reconstruction of Temporally Consistent Cortical Surfaces", accepted for Neuroimage, 2013. [Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen]

Ziwen's paper on studying the relationship between alterations in white matter connectivity and cortical thickness in Obsessive-Compulsive Disorder (OCD) has been accepted for PLOS ONE. Congratulations!

The paper information is below:

"Structural and Diffusion Property Alterations in Unaffected Siblings of Patients with Obsessive-Compulsive Disorder", accepted for PLOS ONE. [Ziwen Peng, Feng Shi, Changzheng Shi, Guodong Miao, Qiong Yang, Wei Gao, Jason J. Wolff, Raymond C.K. Chan and Dinggang Shen]

Congratulations on Manhua for her tree-guided sparse AD classification paper accepted by Neuroinformatics.

The paper information is below:

"Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis", accepted for Neuroinformatics, 2013. [Manhua Liu, Daoqiang Zhang, Dinggang Shen]

Congratulations on Li for his 6-month brain segmentation paper accepted by Neuroimage.

The paper information is below:

"Integration of Sparse Multi-modality Representation and Anatomical Constraint for Isointense Infant Brain MR Image Segmentation", accepted for Neuroimage, 2013. [Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H.  Gilmore, Weili Lin, Dinggang Shen]

Congratulations on Yaozong for his fast prostate localization paper accepted for IEEE Trans. on Medical Imaging.

The paper information is below:

"Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy", accepted for IEEE Trans. on Medical Imaging. [Yaozong Gao, Yiqiang Zhan, Dinggang Shen]

Jingxin's paper on brain network development of the first 2 years of life has been accepted by Human Brain Mapping. Congratulations!

The paper information is below:

"Longitudinal development of cortical-thickness, folding, and fiber-density networks in the first two years of life", accepted for Human Brain Mapping, 2013. [Jingxin Nie, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen]

Guorong's paper on joint label fusion has been accepted by Medical Image Analysis. Congratulations!

The paper information is below:

"A Generative Probability Model of Joint Label Fusion for Multi-Atlas Based Brain Segmentation", accepted for Medical Image Analysis, 2013. [Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, and Dinggang Shen]

Congratulations on Arnav for his 4D-CT resolution enhancement paper accepted by Medical Physics.

The paper information is below:

"Resolution Enhancement of Lung 4D-CT via Group-sparsity", accepted for Medical Physics, 2013. [Arnav Bhavsar, Guorong Wu, Jun Lian, and Dinggang Shen]

Qian's paper on connectivity-guided DTI registration has been accepted by Human Brain Mapping. Congratulations!

The paper information is below:

"Diffusion Tensor Image Registration Using Hybrid Connectivity and Tensor Features", accepted for Human Brain Mapping, 2013. [Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen]