Timo M. Deist

Publications by Year

Research Areas

Radiomics and Machine Learning in Medical Imaging, Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Lung Cancer Diagnosis and Treatment, Advanced Radiotherapy Techniques

Most-Cited Works

• → Radiomics: the bridge between medical imaging and personalized medicine(2017)5,387 cited
• → TESS3: fast inference of spatial population structure and genome scans for selection(2015)313 cited
• → Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers(2018)299 cited
• → Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept(2016)190 cited
• → Distributed learning on 20 000+ lung cancer patients – The Personal Health Train(2020)162 cited
• → Decision support systems for personalized and participative radiation oncology(2016)157 cited
• → Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries(2017)150 cited
• → Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT(2017)139 cited
• → Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer(2020)78 cited
• → Modern clinical research: How rapid learning health care and cohort multiple randomised clinical trials complement traditional evidence based medicine(2015)77 cited