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Semantic Scholar20. 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, David Kleinfeld, Yoav Freund:
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. 3-11 - Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. 12-20 - Jin-Kyu Gahm, Yonggang Shi:
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, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
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, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen:
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. 57-65 - Gang Li, Li Wang, Weili Lin, Dinggang Shen:
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, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau, Anne R. Synnes, Vann Chau, Ghassan Hamarneh:
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, Anthony Cooper, Rafeef Abugharbieh:
A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia. 100-107 - Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images. 108-115 - Jie 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:
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, D. Waring, B. Thiruvenkatachari, K. O'Brien, Timothy F. Cootes:
Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System. 144-151 - Matthias Wilms, Heinz Handels, Jan Ehrhardt:
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, Jan Ehrhardt:
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, Ivana Isgum, Marius Staring:
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, Renaud Hédouin, Emmanuel Caruyer, Christian Barillot:
\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, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein:
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, Dinggang Shen:
Deformable Image Registration Based on Similarity-Steered CNN Regression. 300-308 - Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor:
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, Ha Manh Luu, Adriaan Moelker, Stefan Klein:
Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions. 335-343 - Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen:
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, Vinh Thai Nguyen, Johan van der Meer, Michael Breakspear, Christine Cong Guo:
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, Tianming Liu:
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, Ragini Verma:
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 - 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, Pierre Maurel, Thomas Oberlin, Rémi Gribonval, Christian Barillot:
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. 442-450 - Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
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, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert:
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. 469-477 - Mehraveh Salehi, Amin Karbasi, Dustin Scheinost, R. Todd Constable:
A Submodular Approach to Create Individualized Parcellations of the Human Brain. 478-485 - Anand A. Joshi, Minqi Chong, Richard M. Leahy:
BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects. 486-494 - Feng Liu, Rahilsadat Hosseini, Jay Rosenberger, Shouyi Wang, Jianzhong Su:
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. 495-504 - Samuel Deslauriers-Gauthier, Jean-Marc Lina, Russell Butler, Pierre-Michel Bernier, Kevin Whittingstall, Rachid Deriche, Maxime Descoteaux:
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, Daan Christiaens, Maria Deprez, Lucilio Cordero-Grande, Paddy Slator, Anthony Price, Mary A. Rutherford, Joseph V. Hajnal:
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. 523-531 - Achille Teillac, Justine Beaujoin, Fabrice Poupon, Jean-Francois Mangin, Cyril Poupon:
A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri. 532-539 - Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux:
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, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell:
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 - Wei Sun, Lilyana Amezcua, Yonggang Shi:
FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity. 584-592 - Pramod Kumar Pisharady, Stamatios N. Sotiropoulos, Guillermo Sapiro, Christophe Lenglet:
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, Antonio Criminisi, Daniel C. Alexander:
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, Yuankai Huo, Kurt Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman:
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, Shu Takagi, Naoto Yamamura, Lauren J. O'Donnell, Carl-Fredrik Westin, Nobuhiko Sugano, Yoshinobu Sato:
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images. 656-663 - Paul 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:
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. 664-671 - Babak Samari, Tristan Aumentado-Armstrong, Gustav J. Strijkers, Martijn Froeling, Kaleem Siddiqi:
Denoising Moving Heart Wall Fibers Using Cartan Frames. 672-680 - Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori:
TBS: Tensor-Based Supervoxels for Unfolding the Heart. 681-689
Image Segmentation and Modelling
- Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot K. Fishman, Alan L. Yuille:
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. 693-701 - Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso:
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). 702-710 - Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. 711-719 - Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker:
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. 720-727 - Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks. 728-736 - Jianhua Yao, William Kovacs, Nathan Hsieh, Chia-Ying Liu, Ronald M. Summers:
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, Dinggang Shen:
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, Fritz Lekschas, Michael Mitzenmacher, Hanspeter Pfister:
Compresso: Efficient Compression of Segmentation Data for Connectomics. 781-788 - Mengyuan Liu, Steven P. Miller, Vann Chau, Colin Studholme:
Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI. 789-797
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