Case-Centred Multidimensional Scaling for Classification Visualisation in Medical Diagnosis. - Frank Klawonn; Werner Lechner; Lorenz Grigull (HIS, 2013)

Creating Age-Specific Interactive Environments about Medical Treatments for Children and Adolescent Patients Diagnosed with Cancer. - Carina Gansohr; Katharina Emmerich; Maic Masuch; Oliver Basu; Lorenz Grigull (GameDays, 2014)

VoQs: A Web Application for Visualization of Questionnaire Surveys. - Xiaowei Zhang; Frank Klawonn; Lorenz Grigull; Werner Lechner (IDA, 2015)

Diagnosis Support for Orphan Diseases: A Case Study Using a Classifier Fusion Method. - Xiaowei Kortum; Lorenz Grigull; Urs Muecke; Werner Lechner; Frank Klawonn (IDEAL, 2016)

Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial. - Lorenz Grigull; Werner Lechner; Susanne Petri; Katja Kollewe; Reinhard Dengler; Sandra Mehmecke; Ulrike Schumacher; Thomas Lücke; Christiane Schneider-Gold; Cornelia Köhler; Anne-Katrin Güttsches; Xiaowei Kortum; et al. (BMC Medical Informatics Decis. Mak., 2016)

A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics. - Xiaowei Kortum; Lorenz Grigull; Werner Lechner; Frank Klawonn (IDA, 2017)

Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration. - Xiaowei Kortum; Lorenz Grigull; Urs Muecke; Werner Lechner; Frank Klawonn (IDEAL (1), 2018)

Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. - Armin Berger; David Berghaus; Ali Hamza Bashir; Lorenz Grigull; Lara Fendrich; Tom Anglim Lagones; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tobias Deußer; Thiago Bell; et al. (IEEE Big Data, 2024)

Optimizing Rare Disease Patient Matching with Large Language Models. - Armin Berger; Ali Hamza Bashir; David Berghaus; Mowmita; Nazia Afsan; Lorenz Grigull; Lara Fendrich; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tom Anglim Lagones; et al. (IEEE Big Data, 2024)

Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning. - Armin Berger; Tom Anglim Lagones; Lorenz Grigull; Lara Fendrich; Thiago Bell; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Rafet Sifa; Max Lübbering (IEEE Big Data, 2024)