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ORCID3rd MBIA@MICCAI 2013: Nagoya, Japan
- Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin:
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings. Lecture Notes in Computer Science 8159, Springer 2013, ISBN 978-3-319-02125-6 - Junning Li, Yonggang Shi, Ivo D. Dinov
, Arthur W. Toga:
Locally Weighted Multi-atlas Construction. 1-8 - Xiaojin Li, Xintao Hu, Xi Jiang, Lei Guo, Junwei Han, Tianming Liu:
Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks. 9-17 - Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland:
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. 18-30 - Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig:
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. 31-39 - David Pilutti, Maddalena Strumia, Stathis Hadjidemetriou:
Bi-modal Non-rigid Registration of Brain MRI Data Based on Deconvolution of Joint Statistics. 40-50 - Snehashis Roy, Amod Jog, Aaron Carass, Jerry L. Prince:
Atlas Based Intensity Transformation of Brain MR Images. 51-62 - Florian Dittmann, Bjoern H. Menze, Ender Konukoglu, Jan Unkelbach:
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. 63-73 - Po Su, Jianhua Yang, Hai Li, Linda Chi, Zhong Xue, Stephen T. Wong:
Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images. 74-83 - Sarah K. Madsen, Boris Gutman, Shantanu H. Joshi, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson:
Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer's Disease. 84-94 - Viviana Siless, Sergio Medina, Pierre Fillard, Bertrand Thirion:
Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons. 95-106 - Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp, Soumya Ghose, Stephen E. Rose, Olivier Salvado, Alan Connelly, Bruce Campbell, Susan Palmer, Gagan Sharma, Soren Christensen, Leeanne Carey:
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI. 107-118 - Hugo J. Kuijf, J. Matthijs Biesbroek, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken:
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping. 119-128 - Gautam Prasad, Josh Burkart, Shantanu H. Joshi, Talia M. Nir, Arthur W. Toga, Paul M. Thompson:
A Dynamical Clustering Model of Brain Connectivity Inspired by the N-Body Problem. 129-137 - Marika Archambault-Wallenburg, Douglas L. Arnold, Sridar Narayanan, G. Bruce Pike, D. Louis Collins:
Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis. 138-149 - Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Shanker Swaminathan, Karmen K. Yoder, Li Shen, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin:
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. 150-158 - Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho:
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). 159-169 - Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman:
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model. 170-179 - Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. 180-188 - Neda Jahanshad, Priya Bhatt, Derrek P. Hibar, Julio Villalon, Talia M. Nir, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Michael W. Weiner, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson:
Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model. 189-201 - Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. 202-210 - Fani Deligianni, Chris A. Clark, Jonathan D. Clayden:
A Framework to Compare Tractography Algorithms Based on Their Performance in Predicting Functional Networks. 211-221 - Christine L. Tardif, Juliane Dinse, Andreas Schäfer, Robert Turner, Pierre-Louis Bazin:
Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast. 222-232 - Gang Wang, Xiaofeng Zhang, Qingtang Su, Jiannong Chen, Lili Wang, Yunyan Ma, Qiming Liu, Liang Xu, Jie Shi, Yalin Wang:
A Heat Kernel Based Cortical Thickness Estimation Algorithm. 233-245 - Boris A. Gutman, Sarah K. Madsen, Arthur W. Toga, Paul M. Thompson:
A Family of Fast Spherical Registration Algorithms for Cortical Shapes. 246-257
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