News

Congratulations on Jian’s fiber orientation estimation paper, accepted by Neuroimage.

The paper information is below:

"Non-Negative Spherical Deconvolution (NNSD) for Estimation of Fiber Orientation Distribution Function in Single-/Multi-Shell Diffusion MRI”, accepted for NeuroImage, 2014. [Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap]

Congratulations on Pei for his DWI registration paper accepted by Medical Image Analysis.

"Large Deformation Diffeomorphic Registration of Diffusion-Weighted Imaging Data”, accepted for Medical Image Analysis, 2014. [Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap]

Congratulations on Heung-II for his Subclass-based Multi-task Learning paper, which was just accepted by Frontiers in Aging Neuroscience.

“Subclass-based Multi-task Learning for Alzheimer's Disease Diagnosis”, Frontiers in Aging Neuroscience, 2014. [Heung-Il Suk, Seong-Whan Lee, Dinggang Shen]

Congratulations on Heung-II for his deep learning (DBM) based AD diagnosis paper, which was just accepted by NeuroImage.

The paper information is below:

"Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis", accepted for NeuroImage, 2014. [Heung-Il Suk, Seong-Whan Lee, Dinggang Shen]

Congratulations on Gang for his paper (on longitudinal labeling of infant brain cortex) accepted by Medical Image Analysis.

The paper information is below:

"Simultaneous and Consistent Labeling of Longitudinal Dynamic Developing Cortical Surfaces in Infants”, accepted for Medical Image Analysis, 2014. [Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen]

Congratulations on Yu’s paper on infant sulcal pits analysis, which was just accepted by Neuroimage.

The paper information is below:


"Spatial Distribution and Longitudinal Development of Deep Cortical Sulcal Landmarks in Infants”, accepted for Neuroimage, 2014. [Yu Meng, Gang Li, Weili Lin, John H Gilmore, Dinggang Shen]

Congratulation on Yanrong’s paper on prostate MRI segmentation which was just accepted by Medical Physics.

The paper information is below. Yaozong is the co-first author for this paper.


"Deformable Segmentation of 3-D MR Prostate Images via Distributed Discriminative Dictionary and Ensemble Learning”, accepted for Medical Physics, 2014. [Yanrong Guo, Yaozong Gao, Yeqin Shao, True Price, Aytekin Oto, Dinggang Shen]

Congratulations on Xiaofeng’s paper, on a novel matrix-similarity based sparse learning, just accepted for Neuroimage.

The paper information is below:

"A Novel Matrix-Similarity Based Loss Function for Joint Regression and Classification in AD Diagnosis”, accepted for Neuroimage, 2014. [Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen]

Daihui’s paper on major depressive disorder has been accepted by Journal of Affective Disorders. Congratulations!

The paper information is below:

"Altered brain network modules induce helplessness in major depressive disorder", accepted for Journal of Affective Disorders, 2014. [Daihui Peng, Feng Shi, Ting Shen, Ziwen Peng, Chen Zhang, Xiaohua Liu, Meihui Qiu, Jun Liu, Kaida Jiang, Yiru Fang, Dinggang Shen]

Congratulations on Gerard’s learning-based atlas selection paper that was just accepted by IEEE Transactions on Medical Imaging.

The paper information is below:

 

"Learning to Rank Atlases for Multiple-Atlas Segmentation”, accepted for IEEE Transactions on Medical Imaging, 2014. [Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen]

Fourteen MICCAI papers accepted from IDEA group.

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 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.