F. W. Samuelson

Development of metaverse for intelligent healthcare

Synovitis in osteoarthritis: current understanding with therapeutic implications

Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer

Molecular Characterization of Basal-Like and Non-Basal-Like Triple-Negative Breast Cancer

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review

A strategy for evaluating pathway analysis methods

AI in health and medicine

Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Machine Learning methods for Quantitative Radiomic Biomarkers

Preparing Medical Imaging Data for Machine Learning

Profiling of residual breast cancers after neoadjuvant chemotherapy identifies DUSP4 deficiency as a mechanism of drug resistance

Privacy in the age of medical big data

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine

Estrogen Receptor (ER) mRNA and ER-Related Gene Expression in Breast Cancers That Are 1% to 10% ER-Positive by Immunohistochemistry

The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

On the assessment of the added value of new predictive biomarkers

The average receiver operating characteristic curve in multireader multicase imaging studies

Investigation of Reading Mode and Relative Sensitivity as Factors That Influence Reader Performance When Using Computer-Aided Detection Software

Calibration of medical diagnostic classifier scores to the probability of disease

A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial