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ORCID16. MICCAI 2013: Nagoya, Japan
- Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8150, Springer 2013, ISBN 978-3-642-40762-8
Registration and Atlas Construction
- Ozan Oktay, Li Zhang, Tommaso Mansi, Peter Mountney, Philip Walter Mewes, Stéphane Nicolau, Luc Soler, Christophe Chefd'Hotel:
Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery. 1-9 - Ivor J. A. Simpson
, Mark William Woolrich, Manuel Jorge Cardoso, David M. Cash, Marc Modat, Julia A. Schnabel, Sébastien Ourselin:
A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration. 10-18 - Manasi Datar, Ilwoo Lyu, Sun Hyung Kim, Joshua E. Cates, Martin Andreas Styner, Ross T. Whitaker:
Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes. 19-26 - Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. 27-34 - Marie Bieth, Herve Lombaert, Andrew J. Reader, Kaleem Siddiqi:
Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations. 35-42 - Lisa Y. W. Tang, Ghassan Hamarneh:
Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration. 43-50
Microscopy, Histology, and Computer-Aided Diagnosis
- Juliane Dinse, Miriam Waehnert, Christine Lucas Tardif, Andreas Schäfer, Stefan Geyer, Robert Turner, Pierre-Louis Bazin:
A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images. 51-58 - Seungil Huh, Takeo Kanade:
Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy. 59-66 - Menglong Ye, Stamatia Giannarou, Nisha Patel, Julian Teare, Guang-Zhong Yang:
Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking. 67-74 - Yuanjie Zheng, Dwight Stambolian, Joan O'Brien, James C. Gee:
Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors. 75-82 - Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. 83-90 - Hang Chang, Nandita Nayak, Paul T. Spellman, Bahram Parvin:
Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching. 91-98
Motion Modeling and Compensation
- Raphael Prevost, Blandine Romain, Rémi Cuingnet, Benoit Mory, Laurence Rouet, Olivier Lucidarme, Laurent D. Cohen, Roberto Ardon:
Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-segmentation. 99-107 - Robert Dürichen, Tobias Wissel, Floris Ernst, Achim Schweikard:
Respiratory Motion Compensation with Relevance Vector Machines. 108-115 - Jakob Wasza, Sebastian Bauer, Joachim Hornegger:
Real-Time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-view Range Imaging. 116-123 - Tharindu De Silva, Derek W. Cool, Jing Yuan, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward:
Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data. 124-131 - Valentin Hamy, Alex Menys, Emma Helbren, Freddy Odille, Shonit Punwani, Stuart Taylor, David Atkinson:
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing. 132-140 - Filipe M. M. Marreiros, Sandro Rossitti, Chunliang Wang, Örjan Smedby:
Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift. 141-148 - Huanhuan Xu, Xin Li:
A Symmetric 4D Registration Algorithm for Respiratory Motion Modeling. 149-156
Segmentation I
- Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas:
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. 157-164 - Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Yukitaka Nimura, Daniel Rueckert, Kensaku Mori:
Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. 165-172 - Saman Nouranian, Seyedeh Sara Mahdavi, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean, Purang Abolmaesumi:
An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity. 173-180 - Claudia Lindner, Shankar Thiagarajah, J. Mark Wilkinson, Gillian A. Wallis, Timothy F. Cootes:
Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting. 181-189 - Futoshi Yokota, Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano, Yukio Tada, Noriyuki Tomiyama, Yoshinobu Sato:
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models. 190-197 - Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster:
Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior. 198-205 - Achia Kronman, Leo Joskowicz:
Image Segmentation Errors Correction by Mesh Segmentation and Deformation. 206-213 - Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann:
Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. 214-221
Machine Learning, Statistical Modeling, and Atlases II
- Qian Zhao, Kazunori Okada, Kenneth Rosenbaum, Dina J. Zand, Raymond W. Sze, Marshall Summar, Marius George Linguraru:
Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection. 222-229 - Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab:
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. 230-237 - Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi:
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. 238-245 - Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen:
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. 246-253 - Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen:
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation. 254-261 - Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, Antonio Criminisi:
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. 262-270
Computer-Aided Diagnosis and Imaging Biomarkers II
- Blandine Romain, Véronique Letort, Olivier Lucidarme, Laurence Rouet, Florence d'Alché-Buc:
A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences. 271-278 - Farhad Imani, Purang Abolmaesumi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi:
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study. 279-286 - Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne:
Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. 287-294 - Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos:
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. 295-302 - Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng:
Multifold Bayesian Kernelization in Alzheimer's Diagnosis. 303-310 - Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen:
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. 311-318 - Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen:
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. 319-327 - Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec:
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. 328-335 - Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, Manuel Jorge Cardoso, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry. 336-344
Physiological Modeling, Simulation, and Planning I
- Francesco Ciompi, Simone Balocco, Carles Caus, Josepa Mauri, Petia Radeva:
Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images. 345-352 - Oscar Alfonso Jiménez del Toro, Antonio Foncubierta-Rodríguez, María Isabel Vargas Gómez, Henning Müller, Adrien Depeursinge:
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons. 353-360 - Ilker Hacihaliloglu, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi:
Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features. 361-368 - Hedyeh Rafii-Tari, Jindong Liu, Su-Lin Lee, Colin D. Bicknell, Guang-Zhong Yang:
Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization. 369-377 - Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. 378-386 - Juan David Ospina, Frederic Commandeur, Richard Ríos, Gaël Dréan, Juan Carlos Correa, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta:
A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy. 387-394 - Sasa Grbic, Tommaso Mansi, Razvan Ioan Ionasec, Ingmar Voigt, Helene Houle, Matthias John, Max Schoebinger, Nassir Navab, Dorin Comaniciu:
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment. 395-402
Microscope, Optical Imaging, and Histology II
- Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio:
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. 403-410 - Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber:
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks. 411-418 - Thorben Kröger, Shawn Mikula, Winfried Denk, Ullrich Köthe, Fred A. Hamprecht:
Learning to Segment Neurons with Non-local Quality Measures. 419-427 - Dogu Baran Aydogan, Niko Moritz, Hannu T. Aro, Jari A. K. Hyttinen:
Analysis of Trabecular Bone Microstructure Using Contour Tree Connectivity. 428-435 - Qiao Hu, Michael D. Abràmoff, Mona Kathryn Garvin:
Automated Separation of Binary Overlapping Trees in Low-Contrast Color Retinal Images. 436-443 - Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. 444-451 - Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng:
Discriminative Data Transform for Image Feature Extraction and Classification. 452-459 - Yu Wang, Farshid Moussavi, Peter Lorenzen:
Automated Embryo Stage Classification in Time-Lapse Microscopy Video of Early Human Embryo Development. 460-467 - Yanwu Xu, Xinting Gao, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Dong Xu, Ching Yu Cheng, Carol Yim-lui Cheung, Tien Yin Wong:
Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression. 468-475
Cardiology II
- Alberto Gómez, Adelaide de Vecchi, Kuberan Pushparajah, John M. Simpson, Daniel Giese, Tobias Schaeffter, Graeme P. Penney:
3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion. 476-483 - Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi, Gemma Piella:
Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images. 484-491 - Herve Lombaert, Jean-Marc Peyrat:
Joint Statistics on Cardiac Shape and Fiber Architecture. 492-500 - Kristin McLeod, Christof Seiler, Maxime Sermesant, Xavier Pennec:
Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing. 501-508 - Emmanuel Piuze, Herve Lombaert, Jon Sporring, Kaleem Siddiqi:
Cardiac Fiber Inpainting Using Cartan Forms. 509-517
Vasculatures and Tubular Structures II
- Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers:
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. 518-525 - Shubao Liu, Dirk Ryan Padfield, Paulo R. S. Mendonça:
Tracking of Carotid Arteries in Ultrasound Images. 526-533 - Roland Kwitt, Danielle F. Pace, Marc Niethammer, Stephen R. Aylward:
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels. 534-541 - Andrés M. Arias Lorza, Diego D. B. Carvalho, Jens Petersen, Anouk C. van Dijk, Aad van der Lugt, Wiro J. Niessen, Stefan Klein, Marleen de Bruijne:
Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts. 542-549 - Ning Zhu, Albert C. S. Chung:
Random Walks with Adaptive Cylinder Flux Based Connectivity for Vessel Segmentation. 550-558 - Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura:
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. 559-566 - Lu Wang, Vinutha Kallem, Mayank Bansal, Jayan Eledath, Harpreet S. Sawhney, Karen Karp, Denise J. Pearson, Monte D. Mills, Graham E. Quinn, Richard A. Stone:
Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search. 567-574 - Christoph Forman, Robert Grimm, Jana Maria Hutter, Andreas K. Maier, Joachim Hornegger, Michael O. Zenge:
Free-Breathing Whole-Heart Coronary MRA: Motion Compensation Integrated into 3D Cartesian Compressed Sensing Reconstruction. 575-582
Brain Segmentation and Atlases II
- Heung-Il Suk, Dinggang Shen:
Deep Learning-Based Feature Representation for AD/MCI Classification. 583-590 - Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion:
Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. 591-598 - Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert:
Multiple Instance Learning for Classification of Dementia in Brain MRI. 599-606 - Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux:
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. 607-615 - Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, Florence Forbes:
Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data. 616-624 - Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen:
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. 625-632 - Tom Brosch, Roger C. Tam:
Manifold Learning of Brain MRIs by Deep Learning. 633-640 - Juan J. Cerrolaza, Noemí Carranza-Herrezuelo, Arantxa Villanueva, Rafael Cabeza, Miguel Ángel González Ballester, Marius George Linguraru:
Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures. 641-648 - Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen:
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. 649-656
Functional MRI and Neuroscience Applications I
- Yuan Shen, Stephen D. Mayhew, Zoe Kourtzi, Peter Tiño:
A Spatial Mixture Approach to Inferring Sub-ROI Spatio-temporal Patterns from Rapid Event-Related fMRI Data. 657-664 - Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu:
Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. 665-673 - Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu:
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. 674-681 - Burak Yoldemir, Bernard Ng, Rafeef Abugharbieh:
Overlapping Replicator Dynamics for Functional Subnetwork Identification. 682-689 - Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson:
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. 690-697 - Peili Lv, Lei Guo, Xintao Hu, Xiang Li, Changfeng Jin, Junwei Han, Lingjiang Li, Tianming Liu:
Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks. 698-705
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