Medical Image Computing and Computer-Assisted Intervention • MICCAI 2015, Part III
18th International Conference, Munich, Germany, October 5-9, 2015 Proceedings, Part III
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi (Eds.)
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
Contents
Unsupervised Myocardial Segmentation for Cardiac MRI - Mukhopadhyay, Anirban (et al.) - Seiten 12-20
Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity - Wang, Chendi (et al.) - Seiten 21-28
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning - Wang, Guotai (et al.) - Seiten 29-37
GPSSI: Gaussian Process for Sampling Segmentations of Images - Lê, Matthieu (et al.) - Seiten 38-46
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI - Arslan, Salim (et al.) - Seiten 47-54
Interactive Multi-organ Segmentation Based on Multiple Template Deformation - Gauriau, Romane (et al.) - Seiten 55-62
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data - Guo, Yanrong (et al.) - Seiten 63-71
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI - Melbourne, Andrew (et al.) - Seiten 72-79
Interactive Whole-Heart Segmentation in Congenital Heart Disease - Pace, Danielle F. (et al.) - Seiten 80-88
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior - Qiu, Wu (et al.) - Seiten 89-96
Multiple Surface Segmentation Using Truncated Convex Priors - Shah, Abhay (et al.) - Seiten 97-104
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality - Gibson, Eli (et al.) - Seiten 105-113
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs - Gao, Yaozong (et al.) - Seiten 114-122
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues - Tang, Lisa Y. W. (et al.) - Seiten 123-131
Brain Tissue Segmentation Based on Diffusion MRI Using l0 Sparse-Group Representation Classification - Yap, Pew-Thian (et al.) - Seiten 132-139
A Latent Source Model for Patch-Based Image Segmentation - Chen, George H. (et al.) - Seiten 140-148
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis - Wang, Chunliang (et al.) - Seiten 149-156
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information - Bates, Russell (et al.) - Seiten 157-164
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation - Parisot, Sarah (et al.) - Seiten 165-172
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature - Gkontra, Polyxeni (et al.) - Seiten 173-180
Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input - Collins, Toby (et al.) - Seiten 181-189
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution - Song, Yantao (et al.) - Seiten 190-197
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints - Park, Sang Hyun (et al.) - Seiten 198-206
Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery - Taniguchi, Hiroki (et al.) - Seiten 209-217
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics - Arbelle, A. (et al.) - Seiten 218-225
Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters - Wang, Jiazhuo (et al.) - Seiten 226-233
U-Net: Convolutional Networks for Biomedical Image Segmentation - Ronneberger, Olaf (et al.) - Seiten 234-241
Co-restoring Multimodal Microscopy Images - Li, Mingzhong (et al.) - Seiten 242-250
A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images - Liang, Yanhui (et al.) - Seiten 251-259
Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification - Xu, Xiang (et al.) - Seiten 260-267
Learning to Segment: Training Hierarchical Segmentation under a Topological Loss - Funke, Jan (et al.) - Seiten 268-275
You Should Use Regression to Detect Cells - Kainz, Philipp (et al.) - Seiten 276-283
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms - Chen, Jianxu (et al.) - Seiten 284-291
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning - Yang, Lin (et al.) - Seiten 292-299
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation - Zhang, Fan (et al.) - Seiten 300-307
Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification - Taalimi, Ali (et al.) - Seiten 308-315
Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations - Kandemir, Melih (et al.) - Seiten 316-323
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation - Liu, Fujun (et al.) - Seiten 324-331
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour - Xing, Fuyong (et al.) - Seiten 332-339
Restoring the Invisible Details in Differential Interference Contrast Microscopy Images - Jiang, Wenchao (et al.) - Seiten 340-348
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set - Liu, Fujun (et al.) - Seiten 349-357
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network . Xie, Yuanpu (et al.) - Seiten 358-365
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis - Jiang, Menglin (et al.) - Seiten 366-373
Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images - Xie, Yuanpu (et al.) - Seiten 374-382
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders - Su, Hai (et al.) - Seiten 383-390
Automatic in Vivo Cell Detection in MRI - Afridi, Muhammad Jamal (et al.) - Seiten 391-399
Automatic Vessel Segmentation from Pulsatile Radial Distension - Amir-Khalili, Alborz (et al.) - Seiten 403-410
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data - Sabuncu, Mert R. - Seiten 411-418
Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition - McLeod, K. (et al.) - Seiten 419-426
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization - Papiez, Bartlomiej W. (et al.) - Seiten 427-434
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI - Odille, Freddy (et al.) - Seiten 435-442
Motion Estimation of Common Carotid Artery Wall Using a H?8? Filter Based Block Matching Method - Gao, Zhifan (et al.) - Seiten 443-450
Gated-tracking: Estimation of Respiratory Motion with Confidence - Luca, Valeria (et al.) - Seiten 451-458
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis - Zhang, Yong (et al.) - Seiten 459-466
Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery - Antic, Borislav (et al.) - Seiten 467-475
Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization - Qiu, Wu (et al.) - Seiten 476-483
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI - Quan, Tran Minh (et al.) - Seiten 484-492
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning - Peressutti, Devis (et al.) - Seiten 493-500
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME) - Kurugol, Sila (et al.) - Seiten 501-509
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression - Bhatia, Kanwal K. (et al.) - Seiten 510-518
Predictive Modeling of Anatomy with Genetic and Clinical Data - Dalca, Adrian V. (et al.) - Seiten 519-526
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion - Thung, Kim-Han (et al.) - Seiten 527-534
Learning with Heterogeneous Data for Longitudinal Studies - Squarcina, Letizia (et al.) - Seiten 535-542
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes - Li, Gang (et al.) - Seiten 543-550
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences - Gastounioti, Aimilia (et al.) - Seiten 551-559
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study - Meng, Yu (et al.) - Seiten 560-568
NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline - Kim, Hosung (et al.) - Seiten 571-579
Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input - Lindner, Claudia (et al.) - Seiten 580-587
Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures - Annunziata, Roberto (et al.) - Seiten 588-595
Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters - Annunziata, Roberto (et al.) - Seiten 596-603
Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold - Dodero, Luca (et al.) - Seiten 604-611
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests - Reda, Fitsum A. (et al.) - Seiten 612-619
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features - Keraudren, Kevin (et al.) - Seiten 620-627
A Statistical Model for Smooth Shapes in Kendall Shape Space - Gaikwad, Akshay V. (et al.) - Seiten 628-635
A Cross Saliency Approach to Asymmetry-Based Tumor Detection - Erihov, Miri (et al.) - Seiten 636-643
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum - Ma, Da (et al.) - Seiten 644-651
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models - Carneiro, Gustavo (et al.) - Seiten 652-660
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model - Zhang, Jun (et al.) - Seiten 661-668
Automatic Feature Learning for Glaucoma Detection Based on Deep Learning - Chen, Xiangyu (et al.) - Seiten 669-677
Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach - Suzani, Amin (et al.) - Seiten 678-686
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans - Yaqub, Mohammad (et al.) - Seiten 687-694
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy - Lian, Chunfeng (et al.) - Seiten 695-702
Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation - Mesadi, Fitsum (et al.) - Seiten 703-710
Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys - Cerrolaza, Juan J. (et al.) - Seiten 711-718
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling - Ma, Guangkai (et al.) - Seiten 719-726
Model Criticism for Regression on the Grassmannian - Hong, Yi (et al.) - Seiten 727-734
Structural Edge Detection for Cardiovascular Modeling - Merkow, Jameson (et al.) - Seiten 735-742
Sample Size Estimation for Outlier Detection - Gebhard, Timothy (et al.) - Seiten 743-750
Multi-scale Heat Kernel Based Volumetric Morphology Signature - Wang, Gang (et al.) - Seiten 751-759
Structural Brain Mapping - Razib, Muhammad (et al.) - Seiten 760-767
Notes in Computer Science - Volume 9351
Springer, Paperback, english, 780 pages
