Abstract is missing.
- The Active Atlas: Combining 3D Anatomical Models with Texture DetectorsYuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey J. Karten, Partha P. Mitra, David Kleinfeld, Yoav Freund. 3-11 [doi]
- Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature InformationDingna Duan, Shunren Xia, Yu Meng, Li Wang 0026, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. 12-20 [doi]
- Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding SpaceJin-Kyu Gahm, Yonggang Shi. 21-30 [doi]
- Novel Local Shape-Adaptive Gyrification Index with Application to Brain DevelopmentIlwoo Lyu, Sun-hyung Kim, Jessica Bullins, John H. Gilmore, Martin A. Styner. 31-39 [doi]
- Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete DataEhsan Adeli, Yu Meng, Gang Li 0001, Weili Lin, Dinggang Shen. 40-48 [doi]
- Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant AtlasesJaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen. 49-56 [doi]
- 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse RepresentationZhengwang Wu, Gang Li, Yu Meng, Li Wang 0026, Weili Lin, Dinggang Shen. 57-65 [doi]
- Developmental Patterns Based Individualized Parcellation of Infant Cortical SurfaceGang Li 0001, Li Wang, Weili Lin, Dinggang Shen. 66-74 [doi]
- Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain GrowthAvantika Vardhan, James Fishbaugh, Clement Vachet, Guido Gerig. 75-83 [doi]
- Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm InfantsColin J. Brown, Kathleen P. Moriarty, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau, Anne R. Synnes, Vann Chau, Ghassan Hamarneh. 84-91 [doi]
- Falx Cerebri Segmentation via Multi-atlas Boundary FusionJeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince. 92-99 [doi]
- A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip DysplasiaNiamul Quader, Antony J. Hodgson, Kishore Mulpuri, Anthony Cooper, Rafeef Abugharbieh. 100-107 [doi]
- Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR ImagesHoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau. 108-115 [doi]
- Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD StudyJie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine. 116-124 [doi]
- Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNetHongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li. 127-135 [doi]
- Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCAJingting Ma, Anqi Wang, Feng Lin, Stefan Wesarg, Marius Erdt. 136-143 [doi]
- Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching SystemClaudia Lindner, D. Waring, B. Thiruvenkatachari, K. O'Brien, Timothy F. Cootes. 144-151 [doi]
- Representative Patch-based Active Appearance Models Generated from Small Training PopulationsMatthias Wilms, Heinz Handels, Jan Ehrhardt. 152-160 [doi]
- Integrating Statistical Prior Knowledge into Convolutional Neural NetworksFausto Milletari, Alex Rothberg, Jimmy Jia, Michal Sofka. 161-168 [doi]
- Statistical Shape Model of Nested Structures Based on the Level SetAtsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu. 169-176 [doi]
- Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT ScansFabian Rathke, Mattia Desana, Christoph Schnörr. 177-184 [doi]
- Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex ShapesPraful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian. 185-193 [doi]
- Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT DataFlorin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu. 194-202 [doi]
- Learning and Incorporating Shape Models for Semantic SegmentationHariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya. 203-211 [doi]
- Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical DysplasiaHosung Kim, Yee-Leng Tan, Seunghyun Lee, A. James Barkovich, Duan Xu, Robert Knowlton. 212-220 [doi]
- Training CNNs for Image Registration from Few Samples with Model-based Data AugmentationHristina Uzunova, Matthias Wilms, Heinz Handels, Jan Ehrhardt. 223-231 [doi]
- Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural NetworksHessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring. 232-239 [doi]
- Multimodal Image Registration with Deep Context Reinforcement LearningKai Ma, Jiangping Wang, Vivek Kumar Singh, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Terrence Chen. 240-248 [doi]
- Directional Averages for Motion Segmentation in Discontinuity Preserving Image RegistrationChristoph Jud, Robin Sandkühler, Nadia Möri, Philippe C. Cattin. 249-256 [doi]
- \ell _2 Similarity Metrics for Diffusion Multi-Compartment Model Images RegistrationOlivier Commowick, Renaud Hédouin, Emmanuel Caruyer, Christian Barillot. 257-265 [doi]
- SVF-Net: Learning Deformable Image Registration Using Shape MatchingMarc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec. 266-274 [doi]
- A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual InformationKwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein. 275-282 [doi]
- Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography ImagesYuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha. 283-290 [doi]
- Optimal Transport for Diffeomorphic RegistrationJean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré. 291-299 [doi]
- Deformable Image Registration Based on Similarity-Steered CNN RegressionXiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen. 300-308 [doi]
- Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point SetsNishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor. 309-316 [doi]
- Fast Geodesic Regression for Population-Based Image AnalysisYi Hong, Polina Golland, Miaomiao Zhang. 317-325 [doi]
- Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading CuesBongjin Koo, Erol Ozgur, Bertrand Le Roy, Emmanuel Buc, Adrien Bartoli. 326-334 [doi]
- Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos ExpansionsGokhan Gunay, Sebastian R. van der Voort, Ha Manh Luu, Adriaan Moelker, Stefan Klein. 335-343 [doi]
- Robust Non-rigid Registration Through Agent-Based Action LearningJulian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen. 344-352 [doi]
- Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering AlgorithmBaidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley. 353-361 [doi]
- Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain NetworksLipeng Ning, Yogesh Rathi. 365-372 [doi]
- Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRIJunyan Wang, Yonggang Shi. 373-381 [doi]
- N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural StimulusJinglei Lv, Vinh Thai Nguyen, Johan van der Meer, Michael Breakspear, Christine Cong Guo. 382-389 [doi]
- Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical DevelopmentSeok-Jun Hong, Boris Bernhardt, Ravnoor Gill, Neda Bernasconi, Andrea Bernasconi. 390-397 [doi]
- Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human BrainsShu Zhang, Xi Jiang, Tianming Liu. 398-406 [doi]
- Subject-Specific Structural Parcellations Based on Randomized AB-divergencesNicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma. 407-415 [doi]
- Improving Functional MRI Registration Using Whole-Brain Functional Correlation TensorsYujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen. 416-423 [doi]
- Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal DatasetsTuo Zhang, Xiao Li, Lin Zhao, Xintao Hu, Tianming Liu, Lei Guo 0002. 424-432 [doi]
- Multimodal Hyper-connectivity Networks for MCI ClassificationYang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen. 433-441 [doi]
- Multi-modal EEG and fMRI Source Estimation Using Sparse ConstraintsSaman Noorzadeh, Pierre Maurel, Thomas Oberlin, Rémi Gribonval, Christian Barillot. 442-450 [doi]
- Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued NetworksI. Koval, Jean-Baptiste Schiratti, Alexandre Routier, M. Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman. 451-459 [doi]
- Population-Shrinkage of Covariance to Estimate Better Brain Functional ConnectivityMehdi Rahim, Bertrand Thirion, Gaël Varoquaux. 460-468 [doi]
- Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain NetworksSofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert. 469-477 [doi]
- A Submodular Approach to Create Individualized Parcellations of the Human BrainMehraveh Salehi, Amin Karbasi, Dustin Scheinost, R. Todd Constable. 478-485 [doi]
- BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across SubjectsAnand A. Joshi, Minqi Chong, Richard M. Leahy. 486-494 [doi]
- Supervised Discriminative EEG Brain Source Imaging with Graph RegularizationFeng Liu, Rahilsadat Hosseini, Jay Rosenberger, Shouyi Wang, Jianzhong Su. 495-504 [doi]
- Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEGSamuel Deslauriers-Gauthier, Jean-Marc Lina, Russell Butler, Pierre-Michel Bernier, Kevin Whittingstall, Rachid Deriche, Maxime Descoteaux. 505-512 [doi]
- Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise ClassificationDmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson. 515-522 [doi]
- Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRIJana Hutter, Daan Christiaens, Maria Deprez, Lucilio Cordero-Grande, Paddy Slator, Anthony Price, Mary Rutherford, Joseph V. Hajnal. 523-531 [doi]
- A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in GyriAchille Teillac, Justine Beaujoin, Fabrice Poupon, Jean-Francois Mangin, Cyril Poupon. 532-539 [doi]
- Learn to Track: Deep Learning for TractographyPhilippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux. 540-547 [doi]
- FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter FibersVikash Gupta, Sophia I. Thomopoulos, Faisal Rashid, Paul M. Thompson. 548-555 [doi]
- Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography AnalysisFan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell. 556-565 [doi]
- White Matter Fiber Representation Using Continuous Dictionary LearningGuy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes. 566-574 [doi]
- Fiber Orientation Estimation Guided by a Deep NetworkChuyang Ye, Jerry L. Prince. 575-583 [doi]
- FOD Restoration for Enhanced Mapping of White Matter Lesion ConnectivityWei Sun, Lilyana Amezcua, Yonggang Shi. 584-592 [doi]
- Learning-Based Ensemble Average Propagator EstimationChuyang Ye. 593-601 [doi]
- A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRIPramod Kumar Pisharady, Stamatios N. Sotiropoulos, Guillermo Sapiro, Christophe Lenglet. 602-610 [doi]
- Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-ResolutionRyutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander. 611-619 [doi]
- q-Space Upsampling Using x-q Space RegularizationGeng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap. 620-628 [doi]
- Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRIGeng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap. 629-637 [doi]
- Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion MicrostructurePrasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo, Kurt Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman. 638-646 [doi]
- A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI TractographyMohammad Khatami, Katrin Sakreida, Georg Neuloh, Thomas Schultz 0001. 647-655 [doi]
- Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT ImagesYoshito Otake, Futoshi Yokota, Norio Fukuda, Masaki Takao, Shu Takagi, Naoto Yamamura, Lauren J. O'Donnell, Carl-Fredrik Westin, Nobuhiko Sugano, Yoshinobu Sato. 656-663 [doi]
- Revealing Hidden Potentials of the q-Space Signal in Breast CancerPaul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein. 664-671 [doi]
- Denoising Moving Heart Wall Fibers Using Cartan FramesBabak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi. 672-680 [doi]
- TBS: Tensor-Based Supervoxels for Unfolding the HeartHirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori. 681-689 [doi]
- A Fixed-Point Model for Pancreas Segmentation in Abdominal CT ScansYuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot K. Fishman, Alan L. Yuille. 693-701 [doi]
- Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso. 702-710 [doi]
- Towards Automatic Semantic Segmentation in Volumetric UltrasoundXin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng. 711-719 [doi]
- Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population ImagingRobert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker. 720-727 [doi]
- Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated NetworksEli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt. 728-736 [doi]
- Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRIJianhua Yao, William Kovacs, Nathan Hsieh, Chia-Ying Liu, Ronald M. Summers. 737-745 [doi]
- Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic ImagesAlison M. Pouch, Ahmed H. Aly, Eric Lai, Natalie Yushkevich, Rutger H. Stoffers, Joseph H. Gorman IV, Albert T. Cheung, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich. 746-754 [doi]
- Unbiased Shape Compactness for SegmentationJose Dolz, Ismail Ben Ayed, Christian Desrosiers. 755-763 [doi]
- Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural NetworksKhosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen. 764-772 [doi]
- Development of a \upmu CT-based Patient-Specific Model of the Electrically Stimulated CochleaAhmet Çakir, Benoit M. Dawant, Jack H. Noble. 773-780 [doi]
- Compresso: Efficient Compression of Segmentation Data for ConnectomicsBrian Matejek, Daniel Haehn, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister. 781-788 [doi]
- Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRIMengyuan Liu, Steven P. Miller, Vann Chau, Colin Studholme. 789-797 [doi]