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Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease
We overcome this challenge by developing a new registration technique that simultaneously classifies each pixel as “good data” / “missing tissue” / “artifact”, learns a contrast transformation between modalities, and computes deformation parameters.
Detecting People in Cubist Art
Although the human visual system is surprisingly robust to extreme distortion when recognizing objects, most evaluations of computer object detection methods focus only on robustness to natural form deformations such as people's pose changes.
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