22. IPMI 2011: Kloster Irsee, Germany

Segmentation

• Navid Shiee, Pierre-Louis Bazin, Jennifer L. Cuzzocreo, Ari Blitz, Dzung L. Pham:
  Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly. 1-12
  
• Xiang Hao, Ross T. Whitaker, P. Thomas Fletcher:
  Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter. 13-24
  
• Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
  Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. 25-36
  
• Paul C. Pearlman, Hemant D. Tagare, Ben A. Lin, Albert J. Sinusas, James S. Duncan:
  Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor. 37-48
  
• Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne:
  Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. 49-60
  
• Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu:
  Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors. 61-72
  

Statistical Methods

• Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul A. Yushkevich:
  Optimal Weights for Multi-atlas Label Fusion. 73-84
  
• Andrew J. Asman, Bennett A. Landman:
  Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation. 85-96
  
• Dajiang Zhu, Degang Zhang, Carlos Faraco, Kaiming Li, Fan Deng, Hanbo Chen, Xi Jiang, Lei Guo, L. Stephen Miller, Tianming Liu:
  Discovering Dense and Consistent Landmarks in the Brain. 97-110
  
• Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou:
  Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection. 111-122
  
• Sandy Durrleman, Marcel Prastawa, Guido Gerig, Sarang C. Joshi:
  Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis. 123-134
  
• Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland:
  Learning an Atlas of a Cognitive Process in Its Functional Geometry. 135-146
  

Shape Analysis

• Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm Avison, Anuj Srivastava:
  Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces. 147-158
  
• Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sébastien Ourselin:
  On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex. 159-170
  

Poster Session I (Segmentation, Shape Analysis, Statistical Methods, Image Reconstruction, Microscopic Image Analysis)

• Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li:
  A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. 171-183
  
• Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi:
  Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. 184-196
  
• Thomas O'Donnell, Jens N. Kaftan, Andreas Schuh, Christian Tietjen, Grzegorz Soza, Til Aach:
  Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model. 197-207
  
• Lei Xu, Branislav Stojkovic, Yongding Zhu, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
  Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces. 208-220
  
• Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li:
  Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. 221-232
  
• Yonggang Shi, Rongjie Lai, Arthur W. Toga:
  CoRPORATE: Cortical Reconstruction by Pruning Outliers with Reeb Analysis and Topology-Preserving Evolution. 233-244
  
• Dongfeng Han, John E. Bayouth, Qi Song, Aakant Taurani, Milan Sonka, John M. Buatti, Xiaodong Wu:
  Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method. 245-256
  
• Xianfeng Yang, Alvina Goh, Anqi Qiu:
  Approximations of the Diffeomorphic Metric and Their Applications in Shape Learning. 257-270
  
• Maxime Boucher, Alan C. Evans, Kaleem Siddiqi:
  Anisotropic Diffusion of Tensor Fields for Fold Shape Analysis on Surfaces. 271-282
  
• Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen:
  A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences. 283-295
  
• Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert:
  A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections. 296-307
  
• Matthias Kirschner, Sebastian Gollmer, Stefan Wesarg, Thorsten M. Buzug:
  Optimal Initialization for 3D Correspondence Optimization: An Evaluation Study. 308-319
  
• Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin:
  White Matter Bundle Registration and Population Analysis Based on Gaussian Processes. 320-332
  
• Vaclav Potesil, Timor Kadir, Günther Platsch, Michael Brady:
  Personalization of Pictorial Structures for Anatomical Landmark Localization. 333-345
  
• Stathis Hadjidemetriou, Martin Buechert, Ute Ludwig, Jürgen Hennig:
  Joint Restoration of Bi-contrast MRI Data for Spatial Intensity Non-uniformities. 346-358
  
• Christian Wachinger, Tassilo Klein, Nassir Navab:
  The 2D Analytic Signal on RF and B-Mode Ultrasound Images. 359-370
  
• Snehashis Roy, Aaron Carass, Jerry L. Prince:
  A Compressed Sensing Approach for MR Tissue Contrast Synthesis. 371-383
  
• Zhaozheng Yin, Dai Fei Elmer Ker, Takeo Kanade:
  Restoring DIC Microscopy Images from Multiple Shear Directions. 384-397
  
• Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Gustavo Leone, Jens Rittscher, Raghu Machiraju:
  Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. 398-410
  
• Hongsheng Li, Tian Shen, Xiaolei Huang:
  Actin Filament Segmentation Using Dynamic Programming. 411-423
  

Registration

• Zhao Yi, Stefano Soatto:
  Multimodal Registration via Spatial-Context Mutual Information. 424-435
  
• Sune Darkner, Jon Sporring:
  Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information. 436-447
  
• Jia Du, Alvina Goh, Anqi Qiu:
  Large Deformation Diffeomorphic Metric Mapping of Orientation Distribution Functions. 448-462
  
• Marco Lorenzi, Nicholas Ayache, Xavier Pennec:
  Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images. 463-474
  

Poster Session II (Computer Aided Diagnosis, Diffusion Imaging, Functional Brain Analysis, Registration, Other)

• Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne:
  Dissimilarity-Based Classification of Anatomical Tree Structures. 475-485
  
• Guanglei Xiong, Lei Xing:
  Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images. 486-497
  
• Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei:
  Systematic Assessment of Performance Prediction Techniques in Medical Image Classification A Case Study on Celiac Disease. 498-509
  
• Michael Berks, Zezhi Chen, Susan M. Astley, Chris Taylor:
  Detecting and Classifying Linear Structures in Mammograms Using Random Forests. 510-524
  
• Chao Lu, Sudhakar Chelikani, James S. Duncan:
  A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy. 525-537
  
• Fangxiang Jiao, Yaniv Gur, Chris R. Johnson, Sarang Joshi:
  Detection of Crossing White Matter Fibers with High-Order Tensors and Rank-k Decompositions. 538-549
  
• Yuchen Xie, Jeffrey Ho, Baba C. Vemuri:
  Nonnegative Factorization of Diffusion Tensor Images and Its Applications. 550-561
  
• Gaël Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, Bertrand Thirion:
  Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity. 562-573
  
• Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu:
  Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI. 574-587
  
• Firdaus Janoos, Shantanu Singh, Raghu Machiraju, William M. Wells III, István Ákos Mórocz:
  State-Space Models of Mental Processes from fMRI. 588-599
  
• Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti S. Hämäläinen, Matthieu Kowalski:
  Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. 600-611
  
• Bernard Ng, Rafeef Abugharbieh:
  Generalized Sparse Regularization with Application to fMRI Brain Decoding. 612-623
  
• Stefan Sommer, Mads Nielsen, François Lauze, Xavier Pennec:
  A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. 624-635
  
• Pei Zhang, Timothy F. Cootes:
  Automatic Part Selection for Groupwise Registration. 636-647
  
• Mehmet Yigitsoy, Christian Wachinger, Nassir Navab:
  Temporal Groupwise Registration for Motion Modeling. 648-659
  
• Herve Lombaert, Leo Grady, Jonathan R. Polimeni, Farida Cheriet:
  Fast Brain Matching with Spectral Correspondence. 660-673
  
• Yuanjie Zheng, Allan A. Hunter, Jue Wu, Hongzhi Wang, Jianbin Gao, Maureen G. Maguire, James C. Gee:
  Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities. 674-685
  
• Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
  Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. 686-698
  
• Petter Risholm, James C. Ross, George R. Washko, William M. Wells III:
  Probabilistic Elastography: Estimating Lung Elasticity. 699-710
  

Diffusion Imaging

• Parya MomayyezSiahkal, Kaleem Siddiqi:
  Rotation Invariant Completion Fields for Mapping Diffusion MRI Connectivity. 711-722
  
• Aurobrata Ghosh, Demian Wassermann, Rachid Deriche:
  A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI. 723-734
  

Disease Progression Modeling

• Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland:
  A Generative Approach for Image-Based Modeling of Tumor Growth. 735-747
  
• Hubert M. J. Fonteijn, Matthew J. Clarkson, Marc Modat, Josephine Barnes, Manja Lehmann, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander:
  An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease. 748-759
  

Computer Aided Diagnosis

• Christian G. Graff, Kyle J. Myers:
  The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging - Application to Signal Detection Tasks. 760-771
  
• Ayman El-Baz, Matthew Nitzken, Fahmi Khalifa, Ahmed Elnakib, Georgy L. Gimel'farb, Robert Falk, Mohamed Abou El-Ghar:
  3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules. 772-783
  

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