Abstract is missing.
- Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to NeuroimagingMonami Banerjee, Bing Jian, Baba C. Vemuri. 3-15 [doi]
- Inconsistency of Template Estimation with the Fréchet Mean in Quotient SpaceLoïc Devilliers, Xavier Pennec, Stéphanie Allassonnière. 16-27 [doi]
- Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral CortexSuyash P. Awate, Richard M. Leahy, Anand A. Joshi. 28-40 [doi]
- Conditional Local Distance Correlation for Manifold-Valued DataWenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu. 41-52 [doi]
- Stochastic Development Regression on Non-linear ManifoldsLine Kühnel, Stefan Sommer. 53-64 [doi]
- Spectral Kernels for Probabilistic Analysis and Clustering of ShapesLoïc Le Folgoc, Aditya V. Nori, Antonio Criminisi. 67-79 [doi]
- Optimal Topological Cycles and Their Application in Cardiac Trabeculae RestorationPengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel. 80-92 [doi]
- From Label Maps to Generative Shape Models: A Variational Bayesian Learning ApproachShireen Y. Elhabian, Ross T. Whitaker. 93-105 [doi]
- Constructing Shape Spaces from a Topological PerspectiveChristoph Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl. 106-118 [doi]
- A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness ImagesRazvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander. 134-145 [doi]
- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker DiscoveryThomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs. 146-157 [doi]
- A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-DiseasesYingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu. 158-169 [doi]
- A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale StudiesJenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich. 170-183 [doi]
- Multi-source Multi-target Dictionary Learning for Prediction of Cognitive DeclineJie Zhang 0026, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang. 184-197 [doi]
- Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank ModelXiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang. 198-209 [doi]
- Weakly-Supervised Evidence Pinpointing and DescriptionQiang Zhang, Abhir Bhalerao, Charles Hutchinson. 210-222 [doi]
- Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological ModelsJwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang. 223-235 [doi]
- Cancer Metastasis Detection via Spatially Structured Deep NetworkBin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang. 236-248 [doi]
- Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task LearningSarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci. 249-260 [doi]
- Topographic Regularity for Tract Filtering in Brain ConnectivityJunyan Wang, Dogu Baran Aydogan, Rohit Varma, Arthur W. Toga, Yonggang Shi. 263-274 [doi]
- Riccati-Regularized Precision Matrices for NeuroimagingNicolas Honnorat, Christos Davatzikos. 275-286 [doi]
- Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random WalksChendi Wang, Bernard Ng, Rafeef Abugharbieh. 287-298 [doi]
- Exact Topological Inference for Paired Brain Networks via Persistent HomologyMoo K. Chung, Victoria Villalta-Gil, Hyekyoung Lee, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald. 299-310 [doi]
- Multivariate Manifold Modelling of Functional Connectivity in Developing Language NetworksErnst Schwartz, Karl-Heinz Nenning, Gregor Kasprian, Anna-Lisa Schuller, Lisa Bartha-Doering, Georg Langs. 311-322 [doi]
- Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain ImagingDanilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion. 323-335 [doi]
- A Restaurant Process Mixture Model for Connectivity Based Parcellation of the CortexDaniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson. 336-347 [doi]
- On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskWenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren. 348-360 [doi]
- Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a PopulationMengyu Dai, Zhengwu Zhang, Anuj Srivastava. 361-372 [doi]
- Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical ApproachesNahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann. 373-384 [doi]
- Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing BrainsIslem Rekik, Gang Li, Weili Lin, Dinggang Shen. 385-397 [doi]
- A Tensor Statistical Model for Quantifying Dynamic Functional ConnectivityYingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu. 398-410 [doi]
- Modeling Task fMRI Data via Deep Convolutional AutoencoderHeng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo 0002, Tianming Liu. 411-424 [doi]
- Director Field Analysis to Explore Local White Matter Geometric Structure in Diffusion MRIJian Cheng, Peter J. Basser. 427-439 [doi]
- Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment ImagingBenoit Scherrer, Maxime Taquet, Armin Schwartzman, Etienne St-Onge, Gaëtan Rensonnet, Sanjay P. Prabhu, Simon K. Warfield. 440-452 [doi]
- Bayesian Dictionary Learning and Undersampled Multishell HARDI ReconstructionKratika Gupta, Suyash P. Awate. 453-465 [doi]
- Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction FrameworkChuyang Ye. 466-477 [doi]
- HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle StatisticsJingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu. 478-489 [doi]
- Orthotropic Thin Shell Elasticity Estimation for Surface RegistrationQingyu Zhao, Stephen M. Pizer, Ron Alterovitz, Marc Niethammer, Julian G. Rosenman. 493-504 [doi]
- Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural NetworkWufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, Shuo Li. 505-516 [doi]
- Multi-class Image Segmentation in Fluorescence Microscopy Using PolytreesHamid Fehri, Ali Gooya, Simon A. Johnston, Alejandro F. Frangi. 517-528 [doi]
- Direct Estimation of Spinal Cobb Angles by Structured Multi-output RegressionHaoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li. 529-540 [doi]
- Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA ApproachLei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo 0002, Li Shen. 543-555 [doi]
- Frequency Diffeomorphisms for Efficient Image RegistrationMiaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra A. Turk, Jie Luo, P. Ellen Grant, Polina Golland. 559-570 [doi]
- A Stochastic Large Deformation Model for Computational AnatomyAlexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer. 571-582 [doi]
- Symmetric Interleaved Geodesic Shooting in DiffeomorphismsGreg M. Fleishman, P. Thomas Fletcher, Paul M. Thompson. 583-593 [doi]
- Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial NetworksKonstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker. 597-609 [doi]
- Globally Optimal Coupled Surfaces for Semi-automatic Segmentation of Medical ImagesJuan Eugenio Iglesias. 610-621 [doi]
- Joint Deep Learning of Foreground, Background and Shape for Robust Contextual SegmentationHariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya. 622-632 [doi]
- Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity RegularizationDong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu. 633-644 [doi]
- A Deep Cascade of Convolutional Neural Networks for MR Image ReconstructionJo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert. 647-658 [doi]
- Population Based Image ImputationAdrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland. 659-671 [doi]
- VTrails: Inferring Vessels with Geodesic Connectivity TreesStefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso. 672-684 [doi]