Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
A survey of image registration techniques
ACM Computing Surveys (CSUR)
The nature of statistical learning theory
The nature of statistical learning theory
Advances in Large Margin Classifiers
Advances in Large Margin Classifiers
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A Methodology to Validate MRI/SPECT Registration Methods Using Realistic Simulated SPECT Data
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Classification of SPECT Images of Normal Subjects versus Images of Alzheimer's Disease Patients
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Heterogeneous data fusion for alzheimer's disease study
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Knowledge and Information Systems
Skewness as feature for the diagnosis of Alzheimer's disease using spect images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
GMM based SPECT image classification for the diagnosis of Alzheimer's disease
Applied Soft Computing
Support vector machine approach to cardiac SPECT diagnosis
IWCIA'11 Proceedings of the 14th international conference on Combinatorial image analysis
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Effective diagnosis of Alzheimer's disease by means of distance metric learning and random forest
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Distance metric learning as feature reduction technique for the Alzheimer's disease diagnosis
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Computers in Biology and Medicine
Effective diagnosis of alzheimer's disease by means of distance metric learning
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
SVM approach to classifying lesions in USG images with the use of the gabor decomposition
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Effective diagnosis of alzheimer's disease by means of association rules
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Functional brain image classification using association rules defined over discriminant regions
Pattern Recognition Letters
Information Sciences: an International Journal
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Alzheimer's disease is the most frequent type of dementia for elderly patients. Due to aging populations, the occurrence of this disease will increase in the next years. Early diagnosis is crucial to be able to develop more powerful treatments. Brain perfusion changes can be a marker for Alzheimer's disease. In this article, we study the use of SPECT perfusion imaging for the diagnosis of Alzheimer's disease differentiating between images from healthy subjects and images from Alzheimer's disease patients. Our classification approach is based on a linear programming formulation similar to the 1-norm support vector machines. In contrast with other linear hyperplane-based methods that perform simultaneous feature selection and classification, our proposed formulation incorporates proximity information about the features and generates a classifier that does not just select the most relevant voxels but the most relevant “areas” for classification resulting in more robust classifiers that are better suitable for interpretation. This approach is compared with the classical Fisher linear discriminant (FLD) classifier as well as with statistical parametric mapping (SPM). We tested our method on data from four European institutions. Our method achieved sensitivity of 84.4% at 90.9% specificity, this is considerable better the human experts. Our method also outperformed the FLD and SPM techniques. We conclude that our approach has the potential to be a useful help for clinicians.