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ORCID3rd MLMI@MICCAI 2012: Nice, France
- Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
:
Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7588, Springer 2012, ISBN 978-3-642-35427-4 - Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. 1-9 - Yefeng Zheng, Jianhua Shen, Hüseyin Tek, Gareth Funka-Lea:
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries. 10-18 - Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany:
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. 19-26 - Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. 27-35 - Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen:
Dense Deformation Reconstruction via Sparse Coding. 36-44 - Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Group Sparsity Constrained Automatic Brain Label Propagation. 45-53 - Minjeong Kim, Guorong Wu, Dinggang Shen:
Sparse Patch-Guided Deformation Estimation for Improved Image Registration. 54-62 - Santiago Suniaga, René Werner, Andre Kemmling, Michael Groth, Jens Fiehler, Nils Daniel Forkert:
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets. 63-69 - Sune Darkner, Line Harder Clemmensen:
Data Driven Constraints for the SVM. 70-77 - Juliette Conrath, Catherine Laporte:
Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning. 78-85 - Behnoush Abdollahi, Ahmed Soliman, Ali Cahid Civelek, Xiao-Feng Li, Georgy L. Gimel'farb, Ayman El-Baz:
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation. 86-93 - Samuel Kadoury, Güray Erus, Christos Davatzikos:
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI. 94-102 - Mathieu J. Ruiz, Jean-Michel Hupé, Michel Dojat:
Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination. 103-110 - Jieqiong Wang, Dai Dai, Meng Li, Jing Hua, Huiguang He:
Human Age Estimation with Surface-Based Features from MRI Images. 111-118 - Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud:
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability. 119-127 - Pratik Shah, Mithun Das Gupta:
Simultaneous Registration and Segmentation by L1 Minimization. 128-135 - Loizos Markides, Duncan Fyfe Gillies:
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants. 136-143 - Sara Couceiro, João Pedro Barreto, Paulo Freire, Pedro N. Figueiredo:
Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease. 144-151 - Aydin Ulas, Mehmet Gönen, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla:
A Localized MKL Method for Brain Classification with Known Intra-class Variability. 152-159 - Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. 160-167 - Gerardo Hermosillo Valadez, Vikas C. Raykar, Xiang Zhou:
Learning to Locate Cortical Bone in MRI. 168-175 - Xinghua Lou, Luca Fiaschi, Ullrich Köthe, Fred A. Hamprecht:
Quality Classification of Microscopic Imagery with Weakly Supervised Learning. 176-183 - Sylvain Takerkart, Guillaume Auzias, Bertrand Thirion, Daniele Schön, Liva Ralaivola:
Graph-Based Inter-subject Classification of Local fMRI Patterns. 184-192 - Joni-Kristian Kamarainen, Lasse Lensu, Tomi Kauppi:
Combining Multiple Image Segmentations by Maximizing Expert Agreement. 193-200 - Dwarikanath Mahapatra, Joachim M. Buhmann:
Cardiac LV and RV Segmentation Using Mutual Context Information. 201-209 - Virgile Fritsch, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion:
Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets. 210-217 - Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro, Daniel Rueckert:
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. 218-225 - Stefan Pszczólkowski, Luis Pizarro, Declan P. O'Regan, Daniel Rueckert:
Gradient Projection Learning for Parametric Nonrigid Registration. 226-233 - Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, Alexandre Gramfort:
Learning to Rank from Medical Imaging Data. 234-241 - Johannes Keustermans, Dirk Vandermeulen, Paul Suetens:
Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation. 242-249 - Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A Random Forest Based Approach for One Class Classification in Medical Imaging. 250-257 - Weiguo Xie, Steffen Schumann, Jochen Franke, Paul Alfred Grützner, Lutz-Peter Nolte, Guoyan Zheng:
Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models. 258-265 - Orod Razeghi, Guoping Qiu, Hywel Williams, Kim Thomas:
Computer Aided Skin Lesion Diagnosis with Humans in the Loop. 266-274
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