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1.
Fig. 3

Fig. 3. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

Four-fold CV for Model I: (a) Sensitivity and (b) Specificity as a function of C and threshold t on the feature rank.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
2.
Fig 6

Fig 6. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

(a) Model III aSTAND-Score. The circle data points represent CN and square data points represent AD patients. (b) ROC curve for the test data for all the three models.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
3.
Fig 7

Fig 7. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

SVM weights of tissue voxels of each model plotted as a function of SVM weights of Model I. The blue circles indicate Model I, red diamonds Model II and black plus signs Model III weights at the same tissue voxel.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
4.
Fig 4

Fig 4. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

Interpolated weight vectors for GM, WM and CSF (before threshold is applied) overlaid on the corresponding custom template. Color scale indicates the weight i.e. the importance of the voxel location for classification. For display purposes only the scale from 0.1 to 1 was used to display the non-zero voxels in the custom template.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
5.
Fig 8

Fig 8. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

Output of the SVM categorized according to the number of APOE alleles for (a) Model II (b) Model III. The blue circles indicate the test CN and red squares indicate the test AD patients. The squares below the line zero indicate AD misclassified as CN and circles above zero indicate CN misclassified as AD.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
6.
Fig. 2

Fig. 2. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

(a): Flow chart of the SVM based classification algorithm of AD and CN. Hierarchical representation of the three models evaluated in this paper. (b) Division of data for the algorithm training and then testing on independent samples of subjects. The numbering in the flow diagram indicates the order of operations.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
7.
Fig 5

Fig 5. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

Anatomic patterns with maximum discriminative power between AD and controls are overlaid on the corresponding custom T1 template. Color scale used to indicate the occurrence of the voxel in multiple tissue maps. Yellow: voxel location used in all three tissues (GM, WM and CSF); orange: voxel location used in at least two tissues and red: voxel location used in one tissue only.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.
8.
Fig. 1

Fig. 1. From: Alzheimer's Disease Diagnosis in Individual Subjects using Structural MR Images: Validation Studies.

(a) Plot of Hippocampal and Ventricular volume of 20 AD and 20 Controls. (b) Linear SVM and (c) Third degree polynomial kernel SVM to separate both the classes shown in Fig 1(a). (d) SVM output for the polynomial kernel. The circle data points represent control and square data points represent AD patients. The filled symbols are the support vectors. The decision boundary is marked as 0.

Prashanthi Vemuri, et al. Neuroimage. ;39(3):1186-1197.

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