A domain-adaptive German medical RoBERTa model, exploring continued pre-training and from-scratch training with specialized vocabularies.
A CUDA based GPU volume rendering engine with a MATLAB interface.
A set of reusable React Admin data providers for PostgREST and FHIR, developed to streamline UI development.
The first published German RoBERTa-based model family with a clear development path: from its 2020 preprint to the extended EMNLP 2024 version.
A modern medical search engine developed from scratch with a fully open, extensible IR architecture.
Building the ESID Registry addons with modern reporting, secure APIs, PostgreSQL/RLS, GraphQL/React, and the Json2Xlsx workflow.