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E-grāmata: Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

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This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.
The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
Transductive Prostate Segmentation for CT Image Guided Radiotherapy
1(9)
Yinghuan Shi
Shu Liao
Yaozong Gao
Daoqiang Zhang
Yang Gao
Dinggang Shen
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries
10(9)
Yefeng Zheng
Jianhua Shen
Huseyin Tek
Gareth Funka-Lea
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra
19(8)
Mehdi Moradi
Christian Wachinger
Andriy Fedorov
William M. Wells
Tina Kapur
Luciant D. Wolfsberger
Paul Nguyen
Clare M. Tempany
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease
27(9)
Manhua Liu
Daoqiang Zhang
Pew-Thian Yap
Dinggang Shen
Dense Deformation Reconstruction via Sparse Coding
36(9)
Yonghong Shi
Guorong Wu
Zhijian Song
Dinggang Shen
Group Sparsity Constrained Automatic Brain Label Propagation
45(9)
Shu Liao
Daoqiang Zhang
Pew-Thian Yap
Guorong Wu
Dinggang Shen
Sparse Patch-Guided Deformation Estimation for Improved Image Registration
54(9)
Minjeong Kim
Guorong Wu
Dinggang Shen
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets
63(7)
Santiago Suniaga
Rene Werner
Andre Kemmling
Michael Groth
Jens Fiehler
Nils Daniel Forkert
Data Driven Constraints for the SVM
70(8)
Sune Darkner
Line H. Clemmensen
Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning
78(8)
Juliette Conrath
Catherine Laporte
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation
86(8)
Behnoush Abdollahi
Ahmed Soliman
A. C. Civelek
X.-F. Li
G. Gimel'farb
Ayman El-Baz
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI
94(9)
Samuel Kadoury
Guray Erus
Christos Davatzikos
Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination
103(8)
Mathieu J. Ruiz
Jean-Michel Hupe
Michel Dojat
Human Age Estimation with Surface-Based Features from MRI Images
111(8)
Jieqiong Wang
Dai Dai
Meng Li
Jing Hua
Huiguang He
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability
119(9)
Roberto D'Ambrosio
Wafa Bel
Haj Ali
Richard Nock
Paolo Soda
Frank Nielsen
Michel Barlaud
Simultaneous Registration and Segmentation by L1 Minimization
128(8)
Pratik Shah
Mithun Das Gupta
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants
136(8)
Loizos Markides
Duncan Fyfe Gillies
Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease
144(8)
Sara Couceiro
Joao P. Barreto
Paulo Freire
Pedro Figueiredo
A Localized MKL Method for Brain Classification with Known Intra-class Variability
152(8)
Aydin Ulas
Mehmet Gonen
Umberto Castellani
Vittorio Murino
Marcella Bellani
Michele Tansella
Paolo Brambilla
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach
160(8)
Annegreet van Opbroek
M. Arfan Ikram
Meike W. Vernooij
Marleen de Bruijne
Learning to Locate Cortical Bone in MRI
168(8)
Gerardo Hermosillo
Vikas C. Raykar
Xiang Zhou
Quality Classification of Microscopic Imagery with Weakly Supervised Learning
176(8)
Xinghua Lou
Luca Fiaschi
Ullrich Koethe
Fred A. Hamprecht
Graph-Based Inter-subject Classification of Local fMRI Patterns
184(9)
Sylvain Takerkart
Guillaume Auzias
Bertrand Thirion
Daniele Schon
Liva Ralaivola
Combining Multiple Image Segmentations by Maximizing Expert Agreement
193(8)
Joni-Kristian Kamarainen
Lasse Lensu
Tomi Kauppi
Cardiac LV and RV Segmentation Using Mutual Context Information
201(9)
Dwarikanath Mahapatra
Joachim M. Buhmann
Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets
210(8)
Virgile Fritsch
Gael Varoquaux
Jean-Baptiste Poline
Bertrand Thirion
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative
218(8)
Ricardo Guerrero
Claire R. Donoghue
Luis Pizarro
Daniel Rueckert
Gradient Projection Learning for Parametric Nonrigid Registration
226(8)
Stefan Pszczolkowski
Luis Pizarro
Declan P. O'Regan
Daniel Rueckert
Learning to Rank from Medical Imaging Data
234(8)
Fabian Pedregosa
Elodie Cauvet
Gael Varoquaux
Christophe Pallier
Bertrand Thirion
Alexandre Gramfort
Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation
242(8)
Johannes Keustermans
Dirk Vandermeulen
Paul Suetens
A Random Forest Based Approach for One Class Classification in Medical Imaging
250(8)
Chesner Desir
Simon Bernard
Caroline Petitjean
Laurent Heutte
Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models
258(8)
Weiguo Xie
Steffen Schumann
Jochen Franke
Paul Alfred Grutzner
Lutz-Peter Nolte
Guoyan Zheng
Computer Aided Skin Lesion Diagnosis with Humans in the Loop
266(9)
Orod Razeghi
Guoping Qiu
Hywel Williams
Kim Thomas
Author Index 275