Extremal Contours: Gradient-driven contours for compact visual attribution
Training-free method that uses gradient-driven smooth contours for compact visual attribution.
Reza Karimzadeh
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1 min read
Fourier Shape Representation
Fourier Shape Representation is a repository and research project focused on using Fourier-based techniques to represent and analyze shapes in images. The project implements …
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1 min read
Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers
A graph neural network and gaze-guided transformer framework to predict radiological diagnostic errors from eye-tracking data.
Anna Anikina
Extremal Contours
Extremal Contours is an algorithmic explainable AI method for extracting compact, smooth, and interpretable visual explanations from deep vision models. The method represents …
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1 min read
A Novel Shape-Based Loss Function for Machine Learning-Based Seminal Organ Segmentation in Medical Imaging
A novel shape-aware loss function for anatomical segmentation that leverages PCA to enforce realistic segment morphology.
Reza Karimzadeh