Doctoral Researchers

Planning the Unplannable: Leveraging Automated Planning to Guide Medical Procedures

Multimodal Representation Learning for Reliable Medical AI

Learning Search and Decision Mechanisms in Medical Diagnoses

Inductive Risk in Medical AI

Neuro-Symbolic Integration with Information Constraints

Explainable 3D Deep Learning for medical data

Integrating Semantic Domain Knowledge In Machine Learning For Medical Diagnostics.

Accountability of AI-based Medical Diagnoses

Robust Deep Learning for Medical Imaging under Domain Shift and Data Scarcity

Combined Imaging-Based and Clinical Multi-Omics Characterization of Intraindividual Tumor Heterogeneity in Metastatic NSCLC: Analysis of Primary Tumor and Distant Metastases

Early Treatment Response in Non-Small Cell Lung Cancer: Prediction Using Delta Radiomics, Machine Learning and Integrative Multi-Omics Analysis

Multimodal, radiomics- and AI-based characterization of the vitality and heterogeneity of Echinococcus lesions, with a particular focus on predictive markers of therapeutic response

Predicting the clinical trajectory and hospitalization in COVID-19 pneumonia using artificial intelligence – an experimental study as a model for future pneumonia prediction based on imaging biomarkers and clinical parameters