Medical Imaging

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

• Mar 1, 2025 • 1 min read

Explainable AI

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 …

Nov 1, 2024 • 1 min read

Medical Imaging

Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report

SynthRAD2023 challenge report on benchmark evaluation of synthetic CT generation methods for radiotherapy planning.

Evi M. C. Huijben

• Oct 1, 2024 • 1 min read

Medical Imaging

Attention-based deep learning segmentation: Application to brain tumor delineation

Attention-based deep learning segmentation for brain tumor delineation.

Reza Karimzadeh

• Nov 25, 2021 • 1 min read

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Medical Imaging

Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers

Extremal Contours

Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report

Attention-based deep learning segmentation: Application to brain tumor delineation