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20. MICCAI 2017: Quebec City, QC, Canada
- Maxime Descoteaux, Lena Maier-Hein, Alfred M. Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10433, Springer 2017, ISBN 978-3-319-66181-0
Atlas and Surface-Based Techniques
- Yuncong Chen
, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey J. Karten, Partha P. Mitra
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. 3-11 - Dingna Duan
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. 12-20 - Jin-Kyu Gahm
Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space. 21-30 - Ilwoo Lyu, Sun Hyung Kim, Jessica Bullins, John H. Gilmore, Martin A. Styner:
Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development. 31-39 - Ehsan Adeli
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. 40-48 - Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. 49-56 - Zhengwang Wu
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. 57-65 - Gang Li, Li Wang
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. 66-74 - Avantika Vardhan, James Fishbaugh, Clement Vachet, Guido Gerig
Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth. 75-83 - Colin J. Brown, Kathleen P. Moriarty, Steven P. Miller
Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants. 84-91 - Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince:
Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. 92-99 - Niamul Quader, Antony J. Hodgson, Kishore Mulpuri
A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia. 100-107 - Hoileong Lee
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images. 108-115 - Jie Yang, Elsa D. Angelini
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. 116-124
Shape and Patch-Based Techniques
- Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li:
Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet. 127-135 - Jingting Ma, Anqi Wang, Feng Lin, Stefan Wesarg, Marius Erdt
Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA. 136-143 - Claudia Lindner
Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System. 144-151 - Matthias Wilms, Heinz Handels
Representative Patch-based Active Appearance Models Generated from Small Training Populations. 152-160 - Fausto Milletari, Alex Rothberg, Jimmy Jia, Michal Sofka:
Integrating Statistical Prior Knowledge into Convolutional Neural Networks. 161-168 - Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu:
Statistical Shape Model of Nested Structures Based on the Level Set. 169-176 - Fabian Rathke, Mattia Desana, Christoph Schnörr:
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. 177-184 - Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian
Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes. 185-193 - Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data. 194-202 - Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya:
Learning and Incorporating Shape Models for Semantic Segmentation. 203-211 - Hosung Kim, Yee-Leng Tan, Seunghyun Lee, A. James Barkovich, Duan Xu, Robert Knowlton:
Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia. 212-220
Registration Techniques
- Hristina Uzunova, Matthias Wilms, Heinz Handels
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation. 223-231 - Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Boudewijn P. F. Lelieveldt
Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks. 232-239 - Kai Ma, Jiangping Wang, Vivek Kumar Singh, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Terrence Chen:
Multimodal Image Registration with Deep Context Reinforcement Learning. 240-248 - Christoph Jud, Robin Sandkühler, Nadia Möri, Philippe C. Cattin
Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration. 249-256 - Olivier Commowick
\ell _2 Similarity Metrics for Diffusion Multi-Compartment Model Images Registration. 257-265 - Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec
SVF-Net: Learning Deformable Image Registration Using Shape Matching. 266-274 - Kwame S. Kutten
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. 275-282 - Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha:
Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images. 283-290 - Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré:
Optimal Transport for Diffeomorphic Registration. 291-299 - Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang
Deformable Image Registration Based on Similarity-Steered CNN Regression. 300-308 - Nishant Ravikumar
Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets. 309-316 - Yi Hong, Polina Golland, Miaomiao Zhang:
Fast Geodesic Regression for Population-Based Image Analysis. 317-325 - Bongjin Koo, Erol Ozgur, Bertrand Le Roy, Emmanuel Buc, Adrien Bartoli:
Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading Cues. 326-334 - Gokhan Gunay, Sebastian R. van der Voort
Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions. 335-343 - Julian Krebs, Tommaso Mansi, Hervé Delingette
Robust Non-rigid Registration Through Agent-Based Action Learning. 344-352 - Baidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley:
Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm. 353-361
Functional Imaging, Connectivity, and Brain Parcellation
- Lipeng Ning, Yogesh Rathi:
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. 365-372 - Junyan Wang, Yonggang Shi:
Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRI. 373-381 - Jinglei Lv
N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus. 382-389 - Seok-Jun Hong, Boris C. Bernhardt, Ravnoor S. Gill, Neda Bernasconi, Andrea Bernasconi:
Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical Development. 390-397 - Shu Zhang, Xi Jiang
Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains. 398-406 - Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos
Subject-Specific Structural Parcellations Based on Randomized AB-divergences. 407-415 - Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. 416-423 - Tuo Zhang, Xiao Li, Lin Zhao
Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets. 424-432 - Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Multimodal Hyper-connectivity Networks for MCI Classification. 433-441 - Saman Noorzadeh
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. 442-450 - Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. 451-459 - Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux:
Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity. 460-468 - Sofia Ira Ktena
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. 469-477 - Mehraveh Salehi
A Submodular Approach to Create Individualized Parcellations of the Human Brain. 478-485 - Anand A. Joshi
BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects. 486-494 - Feng Liu
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. 495-504 - Samuel Deslauriers-Gauthier, Jean-Marc Lina, Russell Butler, Pierre-Michel Bernier
Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG. 505-512
Diffusion Magnetic Resonance Imaging (dMRI) and Tensor/Fiber Processing
- Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson:
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. 515-522 - Jana Hutter
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. 523-531 - Achille Teillac, Justine Beaujoin, Fabrice Poupon, Jean-François Mangin, Cyril Poupon:
A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri. 532-539 - Philippe Poulin
Learn to Track: Deep Learning for Tractography. 540-547 - Vikash Gupta, Sophia I. Thomopoulos, Faisal Rashid, Paul M. Thompson:
FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers. 548-555 - Fan Zhang, Weining Wu
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. 556-565 - Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
White Matter Fiber Representation Using Continuous Dictionary Learning. 566-574 - Chuyang Ye, Jerry L. Prince:
Fiber Orientation Estimation Guided by a Deep Network. 575-583 - Wei Sun, Lilyana Amezcua, Yonggang Shi:
FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity. 584-592 - Chuyang Ye:
Learning-Based Ensemble Average Propagator Estimation. 593-601 - Pramod Kumar Pisharady
A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. 602-610 - Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. 611-619 - Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. 620-628 - Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. 629-637 - Prasanna Parvathaneni, Baxter P. Rogers
Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure. 638-646 - Mohammad Khatami, Katrin Sakreida, Georg Neuloh, Thomas Schultz:
A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography. 647-655 - Yoshito Otake, Futoshi Yokota, Norio Fukuda, Masaki Takao
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images. 656-663 - Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. 664-671 - Babak Samari, Tristan Aumentado-Armstrong
Denoising Moving Heart Wall Fibers Using Cartan Frames. 672-680 - Hirohisa Oda, Holger R. Roth
TBS: Tensor-Based Supervoxels for Unfolding the Heart. 681-689
Image Segmentation and Modelling
- Yuyin Zhou
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. 693-701 - Lin Gu, Yinqiang Zheng
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). 702-710 - Xin Yang, Lequan Yu
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. 711-719 - Robert Robinson
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. 720-727 - Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks. 728-736 - Jianhua Yao
Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI. 737-745 - Alison 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
Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images. 746-754 - Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Unbiased Shape Compactness for Segmentation. 755-763 - Khosro Bahrami, Islem Rekik, Feng Shi
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. 764-772 - Ahmet Çakir, Benoit M. Dawant, Jack H. Noble:
Development of a \upmu CT-based Patient-Specific Model of the Electrically Stimulated Cochlea. 773-780 - Brian Matejek, Daniel Haehn
Compresso: Efficient Compression of Segmentation Data for Connectomics. 781-788 - Mengyuan Liu, Steven P. Miller
Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI. 789-797
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