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ORCID18. MICCAI 2015: Munich, Germany
- Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi
:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9351, Springer 2015, ISBN 978-3-319-24573-7
Quantitative Image Analysis I: Segmentation and Measurement
- Tom Brosch, Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Anthony Traboulsee, Roger C. Tam:
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation. 3-11 - Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac MRI. 12-20 - Chendi Wang, Burak Yoldemir, Rafeef Abugharbieh:
Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity. 21-28 - Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. 29-37 - Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
GPSSI: Gaussian Process for Sampling Segmentations of Images. 38-46 - Salim Arslan, Daniel Rueckert:
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI. 47-54 - Romane Gauriau, David Lesage, Mélanie Chiaradia, Baptiste Morel, Isabelle Bloch:
Interactive Multi-organ Segmentation Based on Multiple Template Deformation. 55-62 - Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. 63-71 - Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin:
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. 72-79 - Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland:
Interactive Whole-Heart Segmentation in Congenital Heart Disease. 80-88 - Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior. 89-96 - Abhay Shah, Junjie Bai, Zhihong Hu, Srinivas R. Sadda, Xiaodong Wu:
Multiple Surface Segmentation Using Truncated Convex Priors. 97-104 - Eli Gibson, Henkjan J. Huisman, Dean C. Barratt:
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality. 105-113 - Yaozong Gao, Jun Lian, Dinggang Shen:
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. 114-122 - Lisa Y. W. Tang, Ghassan Hamarneh, Anthony Traboulsee, David K. B. Li, Roger C. Tam:
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues. 123-131 - Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. 132-139 - George H. Chen, Devavrat Shah, Polina Golland:
A Latent Source Model for Patch-Based Image Segmentation. 140-148 - Chunliang Wang, Örjan Smedby:
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis. 149-156 - Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel:
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. 157-164 - Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert:
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation. 165-172 - Polyxeni Gkontra, Magdalena M. Zak, Kerri-Ann Norton, Andrés Santos, Aleksander S. Popel, Alicia G. Arroyo:
A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature. 173-180 - Toby Collins, Adrien Bartoli, Nicolas Bourdel, Michel Canis:
Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input. 181-189 - Yantao Song, Guorong Wu, Quan-Sen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen:
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution. 190-197 - Sang Hyun Park, Yaozong Gao, Dinggang Shen:
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints. 198-206
Quantitative Image Analysis II: Microscopy, Fluorescence and Histological Imagery
- Hiroki Taniguchi, Noriko Kohira, Takashi Ohnishi, Hiroshi Kawahira, Mikael von und zu Fraunberg, Juha E. Jääskeläinen, Markku Hauta-Kasari, Yasuo Iwadate, Hideaki Haneishi:
Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery. 209-217 - Assaf Arbelle, N. Drayman, Mark-Anthony Bray, U. Alon, Anne E. Carpenter, Tammy Riklin Raviv:
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. 218-225 - Jiazhuo Wang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters. 226-233 - Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. 234-241 - Mingzhong Li, Zhaozheng Yin:
Co-restoring Multimodal Microscopy Images. 242-250 - Yanhui Liang, Fusheng Wang, Darren Treanor, Derek R. Magee, George Teodoro, Yangyang Zhu, Jun Kong:
A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images. 251-259 - Xiang Xu, Feng Lin, Carol Ng, Khai Pang Leong:
Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification. 260-267 - Jan Funke, Fred A. Hamprecht, Chong Zhang:
Learning to Segment: Training Hierarchical Segmentation under a Topological Loss. 268-275 - Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit:
You Should Use Regression to Detect Cells. 276-283 - Jianxu Chen, Shant Mahserejian, Mark S. Alber, Danny Z. Chen:
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. 284-291 - Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning. 292-299 - Fan Zhang, Yang Song, Siqi Liu, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Sidong Liu, David Dagan Feng, Tom Weidong Cai:
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. 300-307 - Ali Taalimi, Shahab Ensafi, Hairong Qi, Shijian Lu, Ashraf A. Kassim, Chew Lim Tan:
Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification. 308-315 - Melih Kandemir, Christian Wojek, Fred A. Hamprecht:
Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations. 316-323 - Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason McGough, Lin Yang:
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. 324-331 - Fuyong Xing, Lin Yang:
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour. 332-339 - Wenchao Jiang, Zhaozheng Yin:
Restoring the Invisible Details in Differential Interference Contrast Microscopy Images. 340-348 - Fujun Liu, Lin Yang:
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set. 349-357 - Yuanpu Xie, Fuyong Xing, Xiangfei Kong, Hai Su, Lin Yang:
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network. 358-365 - Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. 366-373 - Yuanpu Xie, Xiangfei Kong, Fuyong Xing, Fujun Liu, Hai Su, Lin Yang:
Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images. 374-382 - Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. 383-390 - Muhammad Jamal Afridi, Xiaoming Liu, Erik M. Shapiro, Arun Ross:
Automatic in Vivo Cell Detection in MRI. 391-399
Quantitative Image Analysis III: Motion, Deformation, Development and Degeneration
- Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh:
Automatic Vessel Segmentation from Pulsatile Radial Distension. 403-410 - Mert R. Sabuncu:
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data. 411-418 - Kristin McLeod, Maxime Sermesant, Philipp Beerbaum, Xavier Pennec:
Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. 419-426 - Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel:
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. 427-434 - Freddy Odille, Aurélien Bustin, Bailiang Chen, Pierre-André Vuissoz, Jacques Felblinger:
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI. 435-442 - Zhifan Gao, Huahua Xiong, Heye Zhang, Dan Wu, Minhua Lu, Wanqing Wu, Kelvin Kian Loong Wong, Yuan-Ting Zhang:
Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method. 443-450 - Valeria De Luca, Gábor Székely, Christine Tanner:
Gated-tracking: Estimation of Respiratory Motion with Confidence. 451-458 - Yong Zhang, Kilian M. Pohl:
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. 459-466 - Borislav Antic, Uta Büchler, Anna-Sophia Wahl, Martin E. Schwab, Björn Ommer:
Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery. 467-475 - Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Martin Rajchl, Eranga Ukwatta, Sandrine de Ribaupierre, Aaron Fenster:
Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization. 476-483 - Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong:
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. 484-492 - Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. 493-500 - Sila Kurugol, Moti Freiman, Onur Afacan, Liran Domachevsky, Jeannette M. Perez-Rossello, Michael J. Callahan, Simon K. Warfield:
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME). 501-509 - Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert:
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. 510-518 - Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. 519-526 - Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. 527-534 - Letizia Squarcina, Cinzia Perlini, Marcella Bellani, Antonio Lasalvia, Mirella Ruggeri, Paolo Brambilla, Umberto Castellani:
Learning with Heterogeneous Data for Longitudinal Studies. 535-542 - Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. 543-550 - Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios:
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. 551-559 - Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. 560-568
Quantitative Image Analysis IV: Classification, Detection, Features, and Morphology
- Hosung Kim, Claude Lepage, Alan C. Evans, A. James Barkovich, Duan Xu:
NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline. 571-579 - Claudia Lindner, Jessie Thomson, Timothy F. Cootes:
Learning-Based Shape Model Matching: Training Accurate Models with Minimal Manual Input. 580-587 - Roberto Annunziata, Ahmad Kheirkhah, Pedram Hamrah, Emanuele Trucco:
Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures. 588-595 - Roberto Annunziata, Ahmad Kheirkhah, Pedram Hamrah, Emanuele Trucco:
Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters. 596-603 - Luca Dodero, Fabio Sambataro, Vittorio Murino, Diego Sona:
Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold. 604-611 - Fitsum A. Reda, Yiqiang Zhan, Xiang Sean Zhou:
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests. 612-619 - Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. 620-627 - Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate:
A Statistical Model for Smooth Shapes in Kendall Shape Space. 628-635 - Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul:
A Cross Saliency Approach to Asymmetry-Based Tumor Detection. 636-643 - Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. 644-651 - Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. 652-660 - Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen:
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. 661-668 - Xiangyu Chen, Yanwu Xu, Shuicheng Yan, Damon Wing Kee Wong, Tien Yin Wong, Jiang Liu:
Automatic Feature Learning for Glaucoma Detection Based on Deep Learning. 669-677 - Amin Suzani, Alexander Seitel, Yuan Liu, Sidney S. Fels, Robert N. Rohling, Purang Abolmaesumi:
Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach. 678-686 - Mohammad Yaqub, Brenda Kelly, Aris T. Papageorghiou, J. Alison Noble:
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans. 687-694 - Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. 695-702 - Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. 703-710 - Juan J. Cerrolaza, Christopher Meyer, James Jago, Craig A. Peters, Marius George Linguraru:
Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys. 711-718 - Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. 719-726 - Yi Hong, Roland Kwitt, Marc Niethammer:
Model Criticism for Regression on the Grassmannian. 727-734 - Jameson Tyler Merkow, Zhuowen Tu, David J. Kriegman, Alison L. Marsden:
Structural Edge Detection for Cardiovascular Modeling. 735-742 - Timothy Gebhard, Inga Koerte, Sylvain Bouix:
Sample Size Estimation for Outlier Detection. 743-750 - Gang Wang, Yalin Wang:
Multi-scale Heat Kernel Based Volumetric Morphology Signature. 751-759 - Muhammad Razib, Zhonglin Lu, Wei Zeng:
Structural Brain Mapping. 760-767
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