Area of research
Health Informatics · Artificial Intelligence
Research interest
Research interests include Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, Explainable Artificial Intelligence (XAI), and Ectopic Pregnancy Diagnosis and Management.
Navigating prevalence shifts in image analysis algorithm deployment
Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science
AI‐driven preoperative risk assessment in kidney cancer surgery: A comparative feasibility study of machine learning models
Metrics reloaded: recommendations for image analysis validation
Understanding metric-related pitfalls in image analysis validation
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
Understanding metric-related pitfalls in image analysis validation
Deployment of Image Analysis Algorithms Under Prevalence Shifts
Lung function impairment in the German Lung Cancer Screening Intervention Study (LUSI): prevalence, symptoms, and associations with lung cancer risk, tumor histology and all-cause mortality
The influence of postscreening follow‐up time and participant characteristics on estimates of overdiagnosis from lung cancer screening trials
Adaptive sample size determination for the development of clinical prediction models
Evaluating cut‐off levels for progesterone, β human chorionic gonadotropin and β human chorionic gonadotropin ratio to exclude pregnancy viability in women with a pregnancy of unknown location: A prospective multicenter cohort study
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Triaging women with pregnancy of unknown location using two‐step protocol including M6 model: clinical implementation study
Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators
Prognostic Value of the Progesterone Receptor by Subtype in Patients with Estrogen Receptor-Positive, HER-2 Negative Breast Cancer