Visit My Account to manage your email alerts.
Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images: a pilot study
Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images
Comparison of synthetic 2D images with planar and tomosynthesis imaging of the breast using a virtual clinical trial
Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution
Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs. multi-slice human and model observer study
A practical method to evaluate personalized injected patient dose for cardiac perfusion SPECT imaging: the polar map as a numerical observer
Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis
Reader performance in visual assessment of breast density using visual analogue scales: Are some readers more predictive of breast cancer?
Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances?
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study
Development of a validation instrument in myocardial perfusion imaging: results of first flow experiments
Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST)
Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award)
Can a totally different approach to soft tissue computer aided detection (CADe) result in affecting radiologists' decisions?
Feasibility study of deep convolutional generative adversarial networks to generate mammography images
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment
Breast elastography: Identification of benign and malignant cancer based on absolute elastic modulus measurement using vibro-elastography