Counting in Team Semantics. - Erich Grädel; Stefan Hegselmann (CSL, 2016)

Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM. - Stefan Hegselmann; Sophia Gessner; Philipp Neuhaus; Jörg Henke; Carsten Oliver Schmidt; Martin Dugas (eHealth, 2017)

Automated Transformation of CDISC ODM to OpenClinica. - Sophia Gessner; Michael Storck; Stefan Hegselmann; Martin Dugas; Iñaki Soto Rey (GMDS, 2017)

A Web Service to Suggest Semantic Codes Based on the MDM-Portal. - Stefan Hegselmann; Michael Storck; Sophia Geßner; Philipp Neuhaus; Julian Varghese; Martin Dugas (GMDS, 2018)

Standardising the Development of ODM Converters: The ODMToolBox. - Iñaki Soto Rey; Philipp Neuhaus; Philipp Bruland; Sophia Geßner; Julian Varghese; Stefan Hegselmann; Tobias J. Brix; Martin Dugas; Michael Storck (MIE, 2018)

Reproducible Survival Prediction with SEER Cancer Data. - Stefan Hegselmann; Leonard Greulich; Julian Varghese; Martin Dugas (MLHC, 2018)

Portal of Medical Data Models: Status 2018. - Sarah Riepenhausen; Julian Varghese; Philipp Neuhaus; Michael Storck; Alexandra Meidt; Stefan Hegselmann; Martin Dugas (EFMI-STC, 2019)

Semantically Annotated Metadata: Interconnecting Samply.MDR and MDM-Portal. - Abishaa Vengadeswaran; Philipp Neuhaus; Stefan Hegselmann; Holger Storf; Dennis Kadioglu (GMDS, 2019)

Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal. - Martin Dugas; Stefan Hegselmann; Sarah Riepenhausen; Philipp Neuhaus; Leonard Greulich; Alexandra Meidt; Julian Varghese (MedInfo, 2019)

An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions. - Stefan Hegselmann; Thomas Volkert; Hendrik Ohlenburg; Antje Gottschalk; Martin Dugas; Christian Ertmer (MLHC, 2020)

Portal of Medical Data Models: Stakeholder Feedback and Requirements. - Alexandra Meidt; Sarah Riepenhausen; Philipp Neuhaus; Stefan Hegselmann; Ahmed Rafee; Julian Varghese; Martin Dugas (MIE, 2021)

Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. - Stefan Hegselmann; Michael Storck; Sophia Gessner; Philipp Neuhaus; Julian Varghese; Philipp Bruland; Alexandra Meidt; Cornelia Mertens; Sarah Riepenhausen; Sonja Baier; Benedikt Stöcker; Jörg Henke; et al. (BMC Medical Informatics Decis. Mak., 2021)

Large language models are few-shot clinical information extractors. - Monica Agrawal; Stefan Hegselmann; Hunter Lang; Yoon Kim; David A. Sontag (EMNLP, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Large Language Models are Zero-Shot Clinical Information Extractors. - Monica Agrawal; Stefan Hegselmann; Hunter Lang; Yoon Kim; David A. Sontag (CoRR, 2022)

TabLLM: Few-shot Classification of Tabular Data with Large Language Models. - Stefan Hegselmann; Alejandro Buendia; Hunter Lang; Monica Agrawal; Xiaoyi Jiang 001; David A. Sontag (AISTATS, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Machine Learning for Health symposium 2023 - Findings track. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Mercy Nyamewaa Asiedu; Serina Chang; Thomas Hartvigsen; Harvineet Singh (CoRR, 2023)

Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse - Stefan Hegselmann (2023)

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. - Stefan Hegselmann; Shannon Shen 001; Florian Gierse; Monica Agrawal; David A. Sontag; Xiaoyi Jiang 001 (CHIL, 2024)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Large Language Models are Powerful EHR Encoders. - Stefan Hegselmann; Georg von Arnim; Tillmann Rheude; Noel Kronenberg; David A. Sontag; Gerhard Hindricks; Roland Eils; Benjamin Wild (CoRR, 2025)

Machine Learning for Health symposium 2024 - Findings track. - Stefan Hegselmann; Helen Zhou; Elizabeth Healey; Trenton Chang; Caleb Ellington; Vishwali Mhasawade; Sana Tonekaboni; Peniel N. Argaw; Haoran Zhang 003 (CoRR, 2025)