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19. MICCAI 2016: Athens, Greece
- Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9900, 2016, ISBN 978-3-319-46719-1 - Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang:
Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. 1-9 - Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. 10-18 - Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu:
Modeling Functional Dynamics of Cortical Gyri and Sulci. 19-27 - Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu:
A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure. 28-36 - Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen:
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. 37-45 - Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu:
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. 46-54 - Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu:
Exploring Brain Networks via Structured Sparse Representation of fMRI Data. 55-62 - Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu:
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding. 63-71 - Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chang:
Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. 72-80 - Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman:
Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. 81-88 - Demian Wassermann, Dorian Mazauric, Guillermo Gallardo-Diez, Rachid Deriche:
Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach. 89-96 - Chuyang Ye:
Fiber Orientation Estimation Using Nonlocal and Local Information. 97-105 - Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu:
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. 106-114 - Salim Arslan, Sarah Parisot, Daniel Rueckert:
Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation. 115-122 - Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu:
Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. 123-131 - Chendi Wang, Bernard Ng, Rafeef Abugharbieh:
Modularity Reinforcement for Improving Brain Subnetwork Extraction. 132-139 - Alessandro Crimi, Luca Dodero, Vittorio Murino, Diego Sona:
Effective Brain Connectivity Through a Constrained Autoregressive Model. 140-147 - Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert:
GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves. 148-156 - Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. 157-165 - Takanori Watanabe, Birkan Tunç, Drew Parker, Junghoon Kim, Ragini Verma:
Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection. 166-174 - Colin J. Brown, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau, Anne R. Synnes, Vann Chau, Ghassan Hamarneh:
Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes. 175-183 - Viviana Siless, Ken Chang, Bruce Fischl, Anastasia Yendiki:
Hierarchical Clustering of Tractography Streamlines Based on Anatomical Similarity. 184-191 - Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs:
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. 192-200 - Dogu Baran Aydogan, Yonggang Shi:
Probabilistic Tractography for Topographically Organized Connectomes. 201-209 - Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. 210-218 - Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen:
Learning-Based Topological Correction for Infant Cortical Surfaces. 219-227 - Jin-Kyu Gahm, Yonggang Shi:
Riemannian Metric Optimization for Connectivity-Driven Surface Mapping. 228-236 - Suyash P. Awate, Richard M. Leahy, Anand A. Joshi:
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment. 237-246 - Ernst Schwartz, Gregor Kasprian, András Jakab, Daniela Prayer, Veronika Schöpf, Georg Langs:
Modeling Fetal Cortical Expansion Using Graph-Regularized Gompertz Models. 247-254 - Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin:
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. 255-263 - Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu:
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. 264-272 - Xiaoqian Wang, Dinggang Shen, Heng Huang:
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. 273-281 - Yong Zhang, Sang Hyun Park, Kilian M. Pohl:
Joint Data Harmonization and Group Cardinality Constrained Classification. 282-290 - Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. 291-299 - Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. 300-307 - Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen:
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. 308-316 - Zhouyuan Huo, Dinggang Shen, Heng Huang:
New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. 317-325 - Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. 326-334 - Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. 335-343 - Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen:
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. 344-352 - Wenfeng Xia, Simeon J. West, Jean-Martial Mari, Sébastien Ourselin, Anna L. David, Adrien E. Desjardins:
3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions. 353-361 - Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps. 362-369 - Heather Culbertson, Julie M. Walker, Michael Raitor, Allison M. Okamura, Philipp J. Stolka:
Plane Assist: The Influence of Haptics on Ultrasound-Based Needle Guidance. 370-377 - Hessam Roodaki, Chiara Amat di San Filippo, Daniel Zapp, Nassir Navab, Abouzar Eslami:
A Surgical Guidance System for Big-Bubble Deep Anterior Lamellar Keratoplasty. 378-385 - Menglong Ye, Lin Zhang, Stamatia Giannarou, Guang-Zhong Yang:
Real-Time 3D Tracking of Articulated Tools for Robotic Surgery. 386-394 - Shanhui Sun, Shun Miao, Tobias Heimann, Terrence Chen, Markus Kaiser, Matthias John, Erin Girard, Rui Liao:
Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion Using an Image-Based Co-registration Method. 395-403 - Toby Collins, Adrien Bartoli, Nicolas Bourdel, Michel Canis:
Robust, Real-Time, Dense and Deformable 3D Organ Tracking in Laparoscopic Videos. 404-412 - Peng Chu, Yu Pang, Erkang Cheng, Ying J. Zhu, Yefeng Zheng, Haibin Ling:
Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features. 413-421 - Nicola Rieke, David Joseph Tan, Federico Tombari, Josué Page Vizcaíno, Chiara Amat di San Filippo, Abouzar Eslami, Nassir Navab:
Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation. 422-430 - Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis. 431-438 - Qingyu Zhao, True Price, Stephen M. Pizer, Marc Niethammer, Ron Alterovitz, Julian G. Rosenman:
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames. 439-447 - Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang:
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. 448-456 - Bai-Chuan Jiang, Wenpeng Gao, Daniel F. Kacher, Thomas C. Lee, Jagadeesan Jayender:
Kalman Filter Based Data Fusion for Needle Deflection Estimation Using Optical-EM Sensor. 457-464 - Emran Mohammad Abu Anas, Alexander Seitel, Abtin Rasoulian, Paul St. John, Tamas Ungi, Andras Lasso, Kathryn Darras, David R. Wilson, Victoria A. Lessoway, Gabor Fichtinger, Michelle Zec, David R. Pichora, Parvin Mousavi, Robert Rohling, Purang Abolmaesumi:
Bone Enhancement in Ultrasound Based on 3D Local Spectrum Variation for Percutaneous Scaphoid Fracture Fixation. 465-473 - Bernhard Fuerst, Erin E. Sutton, Reza Ghotbi, Noah J. Cowan, Nassir Navab:
Bioelectric Navigation: A New Paradigm for Intravascular Device Guidance. 474-481 - Austin Reiter, Andy J. Ma, Nishi Rawat, Christine Shrock, Suchi Saria:
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor. 482-490 - Felix Achilles, Alexandru Eugen Ichim, Huseyin Coskun, Federico Tombari, Soheyl Noachtar, Nassir Navab:
Patient MoCap: Human Pose Estimation Under Blanket Occlusion for Hospital Monitoring Applications. 491-499 - Olivier Goury, Yann Nguyen, Renato Torres, Jérémie Dequidt, Christian Duriez:
Numerical Simulation of Cochlear-Implant Surgery: Towards Patient-Specific Planning. 500-507 - Marzieh Ershad, Zachary Koesters, Robert Rege, Ann Majewicz:
Meaningful Assessment of Surgical Expertise: Semantic Labeling with Data and Crowds. 508-515 - Yipeng Hu, Ester Bonmati, Eli Gibson, John H. Hipwell, David J. Hawkes, Steven Bandula, Stephen P. Pereira, Dean C. Barratt:
2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions. 516-524 - Liang Zhao, Stamatia Giannarou, Su-Lin Lee, Guang-Zhong Yang:
Registration-Free Simultaneous Catheter and Environment Modelling. 525-533 - Noura Hamzé, Jimmy Voirin, Pierre Collet, Pierre Jannin, Claire Haegelen, Caroline Essert:
Pareto Front vs. Weighted Sum for Automatic Trajectory Planning of Deep Brain Stimulation. 534-541 - Rachel Sparks, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation. 542-550 - Robert S. DiPietro, Colin Lea, Anand Malpani, Narges Ahmidi, S. Swaroop Vedula, Gyusung I. Lee, Mija R. Lee, Gregory D. Hager:
Recognizing Surgical Activities with Recurrent Neural Networks. 551-558 - Daeseung Kim, Chien-Ming Chang, Dennis Chun-Yu Ho, Xiaoyan Zhang, Shunyao Shen, Peng Yuan, Huaming Mai, Guangming Zhang, Xiaobo Zhou, Jaime Gateno, Michael A. K. Liebschner, James J. Xia:
Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery. 559-567 - Sergio J. Sanabria, Orcun Goksel:
Hand-Held Sound-Speed Imaging Based on Ultrasound Reflector Delineation. 568-576 - Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, María Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor:
Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. 577-584 - Haichong K. Zhang, Xiaoyu Guo, Behnoosh Tavakoli, Emad M. Boctor:
Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners. 585-592 - Christine Tanner, Barbara Flach, Céline Eggenberger, Oliver Mattausch, Michael Bajka, Orcun Goksel:
4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion. 593-601 - Niamul Quader, Antony J. Hodgson, Kishore Mulpuri, Anthony Cooper, Rafeef Abugharbieh:
Towards Reliable Automatic Characterization of Neonatal Hip Dysplasia from 3D Ultrasound Images. 602-609 - Islam Reda, Ahmed Shalaby, Mohammed M. Elmogy, Ahmed Aboulfotouh, Fahmi Khalifa, Mohamed Abou El-Ghar, Georgy L. Gimel'farb, Ayman El-Baz:
Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer. 610-618 - Omar Sultan Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge:
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. 619-626 - Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin:
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. 627-635 - Siva Teja Kakileti, Krithika Venkataramani, Himanshu Madhu:
Automatic Determination of Hormone Receptor Status in Breast Cancer Using Thermography. 636-643 - Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Hagit Shatkay, Parvin Mousavi:
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data. 644-652 - Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. 653-661 - Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura:
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. 662-670
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