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2020 – today
- 2024
[i4]Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang:
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. CoRR abs/2402.15422 (2024)- 2023
- [b1]Stefan Hegselmann:
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. University of Münster, Germany, 2023 - [c15]Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag:
TabLLM: Few-shot Classification of Tabular Data with Large Language Models. AISTATS 2023: 5549-5581 - [c14]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 Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [e1]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh:
Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 225, PMLR 2023 [contents] - [i3]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh:
Machine Learning for Health symposium 2023 - Findings track. CoRR abs/2312.00655 (2023) - 2022
- [c13]Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag:
Large language models are few-shot clinical information extractors. EMNLP 2022: 1998-2022 - [c12]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:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [i2]Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David A. Sontag:
Large Language Models are Zero-Shot Clinical Information Extractors. CoRR abs/2205.12689 (2022) - [i1]Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, David A. Sontag:
TabLLM: Few-shot Classification of Tabular Data with Large Language Models. CoRR abs/2210.10723 (2022) - 2021
- [j1]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:
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics Decis. Mak. 21(1): 160 (2021) - [c11]Alexandra Meidt, Sarah Riepenhausen, Philipp Neuhaus, Stefan Hegselmann, Ahmed Rafee, Julian Varghese, Martin Dugas:
Portal of Medical Data Models: Stakeholder Feedback and Requirements. MIE 2021: 488-489 - 2020
- [c10]Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg, Antje Gottschalk, Martin Dugas, Christian Ertmer:
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions. MLHC 2020: 46-79
2010 – 2019
- 2019
- [c9]Sarah Riepenhausen, Julian Varghese, Philipp Neuhaus, Michael Storck, Alexandra Meidt, Stefan Hegselmann, Martin Dugas:
Portal of Medical Data Models: Status 2018. EFMI-STC 2019: 239-240 - [c8]Abishaa Vengadeswaran, Philipp Neuhaus, Stefan Hegselmann, Holger Storf, Dennis Kadioglu:
Semantically Annotated Metadata: Interconnecting Samply.MDR and MDM-Portal. GMDS 2019: 86-92 - [c7]Martin Dugas, Stefan Hegselmann, Sarah Riepenhausen, Philipp Neuhaus, Leonard Greulich, Alexandra Meidt, Julian Varghese:
Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal. MedInfo 2019: 113-117 - 2018
- [c6]Stefan Hegselmann, Michael Storck, Sophia Geßner, Philipp Neuhaus, Julian Varghese, Martin Dugas:
A Web Service to Suggest Semantic Codes Based on the MDM-Portal. GMDS 2018: 35-39 - [c5]Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck:
Standardising the Development of ODM Converters: The ODMToolBox. MIE 2018: 231-235 - [c4]Stefan Hegselmann, Leonard Greulich, Julian Varghese, Martin Dugas:
Reproducible Survival Prediction with SEER Cancer Data. MLHC 2018: 49-66 - 2017
- [c3]Stefan Hegselmann, Sophia Gessner, Philipp Neuhaus, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas:
Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM. eHealth 2017: 88-96 - [c2]Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey:
Automated Transformation of CDISC ODM to OpenClinica. GMDS 2017: 95-99 - 2016
- [c1]Erich Grädel, Stefan Hegselmann:
Counting in Team Semantics. CSL 2016: 35:1-35:18
Coauthor Index
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