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Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction
The recognition performance of biometric systems strongly depends on the quality of the compared biometric samples.
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN
In a recent paper, we introduced a \emph{worst-case} upper bound on how challenging morphing attacks can be for an FR system.
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Results: After ten-fold cross-validation, our proposed system achieves a sensitivity of 94. 2% with 1. 0 false positive/scan and a sensitivity of 96. 0% with 2. 0 false positives/scan.
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Experimental results show that utilizing MIP images can increase the sensitivity and lower the number of false positives, which demonstrates the effectiveness and significance of the proposed MIP-based CNNs framework for automatic pulmonary nodule detection in CT scans.
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