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E-raamat: Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings

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This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.
Learning Statistical Correlation of Prostate Deformations for Fast Registration
1(9)
Yonghong Shi
Shu Liao
Dinggang Shen
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
10(8)
Peter Mysling
Kersten Petersen
Mads Nielsen
Martin Lillholm
Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
18(8)
Agnes Masson-Sibut
Amir Nakib
Eric Petit
Francois Leitner
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
26(9)
Roman Filipovych
Susan M. Resnick
Christos Davatzikos
Automated Selection of Standardized Planes from Ultrasound Volume
35(8)
Bahbibi Rahmatullah
Aris Papageorghiou
J. Alison Noble
Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography
43(8)
Engin Dikici
Fredrik Orderud
A Locally Deformable Statistical Shape Model
51(8)
Carsten Last
Simon Winkelbach
Friedrich M. Wahl
Klaus W.G. Eichhorn
Friedrich Bootz
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI
59(8)
Wei Liu
Suyash P. Awate
Jeffrey S. Anderson
Deborah Yurgelun-Todd
P. Thomas Fletcher
DCE-MRI Analysis Using Sparse Adaptive Representations
67(8)
Gabriele Chiusano
Alessandra Stagliano
Curzio Basso
Alessandro Verri
Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography
75(8)
Michael Verhoek
Mohammad Yaqub
John McManigle
J. Alison Noble
A Non-rigid Registration Framework That Accommodates Pathology Detection
83(8)
Chao Lu
James S. Duncan
Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
91(9)
Johannes Feulner
S. Kevin Zhou
Matthias Hammon
Joachim Hornegger
Dorin Comaniciu
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models
100(9)
Minjeong Kim
Guorong Wu
Wei Li
Li Wang
Young-Don Son
Zang-Hee Cho
Dinggang Shen
Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection
109(8)
Joselene Marques
Erik Dam
An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging
117(9)
Uyen T. V. Nguyen
Alauddin Bhuiyan
Kotagiri Ramamohanarao
Laurence A.F. Park
Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit
126(8)
Tao Wu
Bing Jian
Xiang Sean Zhou
Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method
134(8)
Jiayin Zhou
Qi Tian
Vincent Chong
Wei Xiong
Weimin Huang
Zhimin Wang
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations
142(9)
Juan David Ospina
Oscar Acosta
Gael Dran
Guillaume Cazoulat
Antoine Simon
Juan Carlos Correa
Pascal Haigron
Renaud de Crevoisier
A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences
151(8)
Lisa Tang
Ghassan Hamarneh
Tim Bressmann
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
159(8)
Katherine R. Gray
Paul Aljabar
Rolf A. Heckemann
Alexander Hammers
Daniel Rueckert
Probabilistic Graphical Model of SPECT/MRI
167(8)
Stefano Pedemonte
Alexandre Bousse
Brian F. Hutton
Simon Arridge
Sebastien Ourselin
Directed Graph Based Image Registration
175(9)
Hongjun Jia
Guorong Wu
Qian Wang
Yaping Wang
Minjeong Kim
Dinggang Shen
Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
184(9)
Mohammad Yaqub
M. Kassim Javaid
Cyrus Cooper
J. Alison Noble
Network-Based Classification Using Cortical Thickness of AD Patients
193(8)
Dai Dai
Huiguang He
Joshua Vogelstein
Zengguang Hou
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease
201(8)
Remi Cuingnet
Joan Alexis Glaunes
Marie Chupin
Habib Benali
Olivier Colliot
Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter
209(8)
Nhat H. Nguyen
Eric Norris
Mark G. Clemens
Min C. Shin
Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy
217(8)
Ching-Wei Wang
Cheng-Ping Yu
Hot Spots Conjecture and Its Application to Modeling Tubular Structures
225(8)
Moo K. Chung
Seongho Seo
Nagesh Adluru
Houri K. Vorperian
Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images
233(8)
Jose George
Kathleen Vunckx
Sabine Tejpar
Christophe M. Deroose
Johan Nuyts
Dirk Loeckx
Paul Suetens
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression
241(8)
Bo Cheng
Daoqiang Zhang
Songcan Chen
Dinggang Shen
Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models
249(8)
Johannes Keustermans
Dirk Smeets
Dirk Vandermeulen
Paul Suetens
A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image
257(8)
Yoshihide Sawada
Hidekata Hontani
A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction
265(8)
Loc Tran
Deb Banerjee
Xiaoyan Sun
Jihong Wang
Ashok J. Kumar
David Vinning
Frederic D. McKenzie
Yaohang Li
Jiang Li
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method
273(9)
Nima Tajbakhsh
Hong Wu
Wenzhe Xue
Jianming Liang
Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
282(9)
Dime Vitanovski
Alexey Tsymbal
Razvan Ioan Ionasec
Michaela Schmidt
Andreas Greiser
Edgar Mueller
Xiaoguang Lu
Gareth Funka-Lea
Joachim Hornegger
Dorin Comaniciu
Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis
291(9)
Sina Khak Abi
Tim K. Lee
M. Stella Atkins
Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation
300(8)
Lichao Wang
Su-Lin Lee
Robert Merrifield
Guang-Zhong Yang
Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness
308(9)
Lei Xu
Branislav Stojkovic
Hu Ding
Qi Song
Xiaodong Wu
Milan Sonka
Jinhui Xu
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks
317(9)
Ahmad A. Hammoudi
Fuhai Li
Liang Gao
Zhiyong Wang
Michael J. Thrall
Yehia Massoud
Stephen T.C. Wong
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients
326(9)
Chetan Bhole
Nicholas Morsillo
Christopher Pal
Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields
335(9)
Kunlei Zhang
Wenmiao Lu
MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease
344(8)
Daoqiang Zhang
Dinggang Shen
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization
352(8)
Mahesh B. Nagarajan
Markus B. Huber
Thomas Schlossbauer
Gerda Leinsinger
Andrzej Krol
Axel Wismuller
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques
360(9)
Jian-Wu Xu
Kenji Suzuki
Author Index 369