Machine Learning in Medical Imaging

1. Front Matter

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2. Transductive Prostate Segmentation for CT Image Guided Radiotherapy

   • Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen

   Pages 1-9

3. Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries

   • Yefeng Zheng, Jianhua Shen, Huseyin Tek, Gareth Funka-Lea

   Pages 10-18

4. MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra

   • Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells, Tina Kapur, Luciant D. Wolfsberger et al.

   Pages 19-26

5. Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease

   • Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen

   Pages 27-35

6. Dense Deformation Reconstruction via Sparse Coding

   • Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen

   Pages 36-44

7. Group Sparsity Constrained Automatic Brain Label Propagation

   • Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen

   Pages 45-53

8. Sparse Patch-Guided Deformation Estimation for Improved Image Registration

   • Minjeong Kim, Guorong Wu, Dinggang Shen

   Pages 54-62

9. Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets

   • Santiago Suniaga, Rene Werner, Andre Kemmling, Michael Groth, Jens Fiehler, Nils Daniel Forkert

   Pages 63-69

10. Data Driven Constraints for the SVM

    • Sune Darkner, Line H. Clemmensen

    Pages 70-77

11. Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning

    • Juliette Conrath, Catherine Laporte

    Pages 78-85

12. A Novel 3D Joint MGRF Framework for Precise Lung Segmentation

    • Behnoush Abdollahi, Ahmed Soliman, A. C. Civelek, X. -F. Li, G. Gimel’farb, Ayman El-Baz

    Pages 86-93

13. Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI

    • Samuel Kadoury, Guray Erus, Christos Davatzikos

    Pages 94-102

14. Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination

    • Mathieu J. Ruiz, Jean-Michel Hupé, Michel Dojat

    Pages 103-110

15. Human Age Estimation with Surface-Based Features from MRI Images

    • Jieqiong Wang, Dai Dai, Meng Li, Jing Hua, Huiguang He

    Pages 111-118

16. Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability

    • Roberto D’Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud

    Pages 119-127

17. Simultaneous Registration and Segmentation by L1 Minimization

    • Pratik Shah, Mithun Das Gupta

    Pages 128-135

18. On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants

    • Loizos Markides, Duncan Fyfe Gillies

    Pages 136-143

19. Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease

    • Sara Couceiro, João P. Barreto, Paulo Freire, Pedro Figueiredo

    Pages 144-151

20. A Localized MKL Method for Brain Classification with Known Intra-class Variability

    • Aydın Ulaş, Mehmet Gönen, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella et al.

    Pages 152-159

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.

• 3D
• image classification
• image registration
• image segmentation
• weakly supervised learning

• IBM Research Almaden, San Jose, USA

  Fei Wang

• School of Medicine, Department of Radiology and Biomedical Reserach Imaging Center, University of North Carolina, Chapel Hill, USA

  Dinggang Shen

• Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Shaanxi, China

  Pingkun Yan

• Department of Radiology, The University of Chicago, Chicago, USA

  Kenji Suzuki

Policies and ethics