| Description |
1 online resource (xi, 276 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science ; 7588 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition and graphics |
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Lecture notes in computer science ; 7588.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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| Contents |
Transductive Prostate Segmentation for CT Image Guided Radiotherapy / Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang and Yang Gao, et al. -- Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries / Yefeng Zheng, Jianhua Shen, Huseyin Tek and Gareth Funka-Lea -- MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra / Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells and Tina Kapur, et al. -- Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease / Manhua Liu, Daoqiang Zhang, Pew-Thian Yap and Dinggang Shen -- Dense Deformation Reconstruction via Sparse Coding / Yonghong Shi, Guorong Wu, Zhijian Song and Dinggang Shen -- Group Sparsity Constrained Automatic Brain Label Propagation / Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu and Dinggang Shen -- Sparse Patch-Guided Deformation Estimation for Improved Image Registration / Minjeong Kim, Guorong Wu and Dinggang Shen -- Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets / Santiago Suniaga, Rene Werner, Andre Kemmling, Michael Groth and Jens Fiehler, et al. -- Data Driven Constraints for the SVM / Sune Darkner and Line H. Clemmensen |
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Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning / Juliette Conrath and Catherine Laporte -- A Novel 3D Joint MGRF Framework for Precise Lung Segmentation / Behnoush Abdollahi, Ahmed Soliman, A.C. Civelek, X. -F. Li and G. Gimel'farb, et al. -- Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI / Samuel Kadoury, Guray Erus and Christos Davatzikos -- Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination / Mathieu J. Ruiz, Jean-Michel Hupé and Michel Dojat -- Human Age Estimation with Surface-Based Features from MRI Images / Jieqiong Wang, Dai Dai, Meng Li, Jing Hua and Huiguang He -- Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability / Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda and Frank Nielsen, et al. -- Simultaneous Registration and Segmentation by L1 Minimization / Pratik Shah and Mithun Das Gupta -- On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants / Loizos Markides and Duncan Fyfe Gillies |
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Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease / Sara Couceiro, João P. Barreto, Paulo Freire and Pedro Figueiredo -- A Localized MKL Method for Brain Classification with Known Intra-class Variability / Aydın Ulaş, Mehmet Gönen, Umberto Castellani, Vittorio Murino and Marcella Bellani, et al. -- Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach / Annegreet van Opbroek, M. Arfan Ikram, Meike W. Vernooij and Marleen de Bruijne -- Learning to Locate Cortical Bone in MRI / Gerardo Hermosillo, Vikas C. Raykar and Xiang Zhou -- Quality Classification of Microscopic Imagery with Weakly Supervised Learning / Xinghua Lou, Luca Fiaschi, Ullrich Koethe and Fred A. Hamprecht -- Graph-Based Inter-subject Classification of Local fMRI Patterns / Sylvain Takerkart, Guillaume Auzias, Bertrand Thirion, Daniele Schön and Liva Ralaivola -- Combining Multiple Image Segmentations by Maximizing Expert Agreement / Joni-Kristian Kamarainen, Lasse Lensu and Tomi Kauppi -- Cardiac LV and RV Segmentation Using Mutual Context Information / Dwarikanath Mahapatra and Joachim M. Buhmann |
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Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets / Virgile Fritsch, Gaël Varoquaux, Jean-Baptiste Poline and Bertrand Thirion -- Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative / Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro and Daniel Rueckert -- Gradient Projection Learning for Parametric Nonrigid Registration / Stefan Pszczolkowski, Luis Pizarro, Declan P. O'Regan and Daniel Rueckert -- Learning to Rank from Medical Imaging Data / Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier and Bertrand Thirion, et al. -- Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation / Johannes Keustermans, Dirk Vandermeulen and Paul Suetens -- A Random Forest Based Approach for One Class Classification in Medical Imaging / Chesner Désir, Simon Bernard, Caroline Petitjean and Laurent Heutte -- Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models / Weiguo Xie, Steffen Schumann, Jochen Franke, Paul Alfred Grützner and Lutz-Peter Nolte, et al. -- Computer Aided Skin Lesion Diagnosis with Humans in the Loop / Orod Razeghi, Guoping Qiu, Hywel Williams and Kim Thomas |
| Summary |
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 |
| Analysis |
MLMI |
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MICCAI |
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Medical imaging |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Print version record |
| Subject |
Machine learning -- Congresses
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Diagnostic imaging -- Data processing -- Congresses
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Artificial intelligence -- Medical applications -- Congresses
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Artificial intelligence.
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Pattern recognition systems.
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Image Interpretation, Computer-Assisted -- methods
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Artificial Intelligence
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Pattern Recognition, Automated
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artificial intelligence.
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Informatique.
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Pattern recognition systems
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Artificial intelligence
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Artificial intelligence -- Medical applications
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Diagnostic imaging -- Data processing
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Machine learning
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Wang, Fei (Computer scientist)
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| ISBN |
9783642354281 |
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3642354289 |
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3642354270 |
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9783642354274 |
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