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ORCID17. MICCAI 2014: Boston, MA, USA
- Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8675, Springer 2014, ISBN 978-3-319-10442-3
Shape and Population Analysis
- Juan J. Cerrolaza, Arantxa Villanueva
, Mauricio Reyes, Rafael Cabeza, Miguel Ángel González Ballester, Marius George Linguraru:
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization. 1-8 - Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. 9-16 - Yi Hong, Yi Gao, Marc Niethammer, Sylvain Bouix:
Depth-Based Shape-Analysis. 17-24 - Ka Chun Lam, Xianfeng Gu, Lok Ming Lui:
Genus-One Surface Registration via Teichmüller Extremal Mapping. 25-32 - Neda Sadeghi, P. Thomas Fletcher, Marcel Prastawa, John H. Gilmore, Guido Gerig:
Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI. 33-40 - Christian Wachinger, Polina Golland, Martin Reuter:
BrainPrint : Identifying Subjects by Their Brain. 41-48 - Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher:
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. 49-56 - Marc Modat, Ivor J. A. Simpson, Manuel Jorge Cardoso, David M. Cash, Nicolas Toussaint, Nick C. Fox, Sébastien Ourselin:
Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data. 57-64 - Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung:
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. 65-72
Brain II
- Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi:
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. 73-80 - Long Xie, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, David A. Wolk, Paul A. Yushkevich:
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. 81-88 - Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. 89-96 - Xiaoxiao Liu, Marc Niethammer, Roland Kwitt, Matthew McCormick, Stephen R. Aylward:
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies. 97-104 - Vinh-Thong Ta, Rémi Giraud, D. Louis Collins, Pierrick Coupé:
Optimized PatchMatch for Near Real Time and Accurate Label Fusion. 105-112 - Yasser Ghanbari, Luke Bloy, Varsha Shankar, J. Christopher Edgar, Timothy P. L. Roberts, Robert T. Schultz, Ragini Verma:
Functionally Driven Brain Networks Using Multi-layer Graph Clustering. 113-120 - Miaomiao Zhang, P. Thomas Fletcher:
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration. 121-128 - Quentin Duché, Parnesh Raniga, Gary F. Egan, Oscar Acosta, Giulio Gambarota, Olivier Salvado, Hervé Saint-Jalmes:
New Partial Volume Estimation Methods for MRI MP2RAGE. 129-136 - Benjamin M. Kandel, Danny J. J. Wang, James C. Gee, Brian B. Avants:
Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex. 137-144 - Alireza Akhondi Asl, Onur Afacan, Robert V. Mulkern, Simon K. Warfield:
T 2-Relaxometry for Myelin Water Fraction Extraction Using Wald Distribution and Extended Phase Graph. 145-152 - Raif M. Rustamov, David Romano, Allan L. Reiss, Leonidas J. Guibas:
Compact and Informative Representation of Functional Connectivity for Predictive Modeling. 153-160 - Boris Gutman, Cassandra D. Leonardo, Neda Jahanshad, Derrek P. Hibar, Kristian M. Eschenburg, Talia M. Nir, Julio Villalon, Paul M. Thompson:
Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis. 161-168 - Joshua V. Stough, Jeffrey Glaister, Chuyang Ye, Sarah H. Ying, Jerry L. Prince, Aaron Carass:
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification. 169-176 - True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen:
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. 177-184 - Ronald Phlypo, Bertrand Thirion, Gaël Varoquaux:
Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation. 185-192 - Harini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos:
Discriminative Sparse Connectivity Patterns for Classification of fMRI Data. 193-200
Diffusion MRI
- Marco Reisert, Valerij G. Kiselev, Bibek Dhital, Elias Kellner, Dmitry S. Novikov:
MesoFT: Unifying Diffusion Modelling and Fiber Tracking. 201-208 - Carl-Fredrik Westin, Filip Szczepankiewicz, Ofer Pasternak, Evren Özarslan, Daniel Topgaard, Hans Knutsson, Markus Nilsson:
Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding. 209-216 - Hans Knutsson, Carl-Fredrik Westin:
From Expected Propagator Distribution to Optimal Q-space Sample Metric. 217-224 - Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi:
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. 225-232 - Théodore Papadopoulo, Aurobrata Ghosh, Rachid Deriche:
Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics. 233-240 - Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI. 241-248 - Junning Li, Yonggang Shi, Arthur W. Toga:
Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric. 249-256 - Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. 257-264 - Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg:
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. 265-272 - Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu:
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data. 273-280 - Jian Cheng, Dinggang Shen, Pew-Thian Yap:
Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code. 281-288 - Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. 289-296
Machine Learning II
- Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Dong Soo Lee:
Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian. 297-304 - Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji:
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. 305-312 - De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang:
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. 313-320 - Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. 321-328 - Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. 329-336 - Romane Gauriau, Rémi Cuingnet, David Lesage, Isabelle Bloch:
Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps. 337-344 - Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Inter-Cluster Features for Medical Image Classification. 345-352 - Mert R. Sabuncu:
A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models. 353-360 - Samuel Kadoury, Hubert Labelle, Stefan Parent:
3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles. 361-368 - Yan Zhu, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Scalable Histopathological Image Analysis via Active Learning. 369-376 - Firas Mualla, Simon Schöll, Björn Sommerfeldt, Andreas K. Maier, Stefan Steidl, Rainer Buchholz, Joachim Hornegger:
Unsupervised Unstained Cell Detection by SIFT Keypoint Clustering and Self-labeling Algorithm. 377-384 - Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi:
Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis. 385-392 - Heung-Il Suk, Dinggang Shen:
Clustering-Induced Multi-task Learning for AD/MCI Classification. 393-400 - Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. 401-408 - Andru Putra Twinanda, Michel de Mathelin, Nicolas Padoy:
Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query. 409-416 - Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes:
Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. 417-424
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