Stefan Hegselmann

27 papers A* 1A 1B 1Journal 7Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Large Language Models are Powerful EHR Encoders. CoRR Stefan Hegselmann, Georg von Arnim, Tillmann Rheude, Noel Kronenberg, David A. Sontag, Gerhard Hindricks, Roland Eils, Benjamin Wild
2025	J	`jnl`	Machine Learning for Health symposium 2024 - Findings track. CoRR Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2024	—	`conf`	A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. CHIL Stefan Hegselmann, Shannon Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang
2024	J	`jnl`	A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. CoRR Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2024, Vancouver, Canada, 15-16 December 2024. ML4H@NeurIPS Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023	J	`jnl`	Machine Learning for Health symposium 2023 - Findings track. CoRR Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh
2023	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh
2023	—	`—`	Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse Stefan Hegselmann
2023	A	`conf`	TabLLM: Few-shot Classification of Tabular Data with Large Language Models. AISTATS Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag
2022	J	`jnl`	Large Language Models are Zero-Shot Clinical Information Extractors. CoRR Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
2022	A*	`conf`	Large language models are few-shot clinical information extractors. EMNLP Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
2022	J	`jnl`	TabLLM: Few-shot Classification of Tabular Data with Large Language Models. CoRR Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag
2021	—	`conf`	Portal of Medical Data Models: Stakeholder Feedback and Requirements. MIE Alexandra Meidt, Sarah Riepenhausen, Philipp Neuhaus, Stefan Hegselmann, Ahmed Rafee, Julian Varghese, Martin Dugas
2021	J	`jnl`	Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics Decis. Mak. Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas
2020	—	`conf`	An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions. MLHC Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg, Antje Gottschalk, Martin Dugas, Christian Ertmer
2019	—	`conf`	Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal. MedInfo Martin Dugas, Stefan Hegselmann, Sarah Riepenhausen, Philipp Neuhaus, Leonard Greulich, Alexandra Meidt, Julian Varghese
2019	—	`conf`	Portal of Medical Data Models: Status 2018. EFMI-STC Sarah Riepenhausen, Julian Varghese, Philipp Neuhaus, Michael Storck, Alexandra Meidt, Stefan Hegselmann, Martin Dugas
2019	—	`conf`	Semantically Annotated Metadata: Interconnecting Samply.MDR and MDM-Portal. GMDS Abishaa Vengadeswaran, Philipp Neuhaus, Stefan Hegselmann, Holger Storf, Dennis Kadioglu
2018	—	`conf`	A Web Service to Suggest Semantic Codes Based on the MDM-Portal. GMDS Stefan Hegselmann, Michael Storck, Sophia Geßner, Philipp Neuhaus, Julian Varghese, Martin Dugas
2018	—	`conf`	Reproducible Survival Prediction with SEER Cancer Data. MLHC Stefan Hegselmann, Leonard Greulich, Julian Varghese, Martin Dugas
2018	—	`conf`	Standardising the Development of ODM Converters: The ODMToolBox. MIE Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck
2017	—	`conf`	Automated Transformation of CDISC ODM to OpenClinica. GMDS Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey
2017	—	`conf`	Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM. eHealth Stefan Hegselmann, Sophia Gessner, Philipp Neuhaus, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas
2016	B	`conf`	Counting in Team Semantics. CSL Erich Grädel, Stefan Hegselmann