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Dario Antweiler
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2020 – today
- 2025
[j6]Kamyar Arzideh
, Henning Schäfer, Héctor Allende-Cid
, Giulia Baldini
, Thomas Hilser, Ahmad Idrissi-Yaghir
, Katharina Laue, Nilesh Chakraborty, Niclas Doll, Dario Antweiler
, Katrin Klug
, Niklas Beck
, Sven Giesselbach, Christoph M. Friedrich
, Felix Nensa
, Martin Schuler, René Hosch:
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. Comput. Biol. Medicine 195: 110665 (2025)
[j5]Dario Antweiler
, Georg Fuchs:
Trust at every step: Embedding trust quality gates into the visual data exploration loop for machine learning-based clinical decision support systems. Comput. Graph. 128: 104212 (2025)
[c6]Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping:
The Anatomy of Evidence: An Investigation Into Explainable ICD Coding. ACL (Findings) 2025: 16840-16851
[i1]Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler
, Stefan Rüping:
The Anatomy of Evidence: An Investigation Into Explainable ICD Coding. CoRR abs/2507.01802 (2025)- 2024
[j4]Assaf Landschaft
, Dario Antweiler
, Sina Mackay
, Sabine Kugler, Stefan Rüping, Stefan Wrobel, Timm Höres, Héctor Allende-Cid
:
Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. Int. J. Medical Informatics 189: 105531 (2024)
[j3]Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach:
From admission to discharge: a systematic review of clinical natural language processing along the patient journey. BMC Medical Informatics Decis. Mak. 24(1): 238 (2024)
[c5]Dario Antweiler
, Georg Fuchs:
Extending the Visual Data Exploration Loop towards Trustworthy Machine Learning in the Healthcare Domain. EuroVA@EuroVis 2024
[c4]Sabine Kugler, Dario Antweiler
, Benny Stein:
From Rehab to Recap: Generating Discharge Reports for Rehabilitation Clinics with LLMs. FLLM 2024: 378-384- 2023
[c3]Dario Antweiler
, Florian Gallusser, Georg Fuchs:
Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction. VAHC 2023: 21-26- 2022
[j2]Dario Antweiler
, David Sessler, Maxim Rossknecht
, Benjamin Abb, Sebastian Ginzel, Jörn Kohlhammer:
Uncovering chains of infections through spatio-temporal and visual analysis of COVID-19 contact traces. Comput. Graph. 106: 1-8 (2022)
[j1]Dario Antweiler
, Marc Harmening, Nicole Marheineke, Andre Schmeißer
, Raimund Wegener
, Pascal Welke
:
Machine learning framework to predict nonwoven material properties from fiber graph representations. Softw. Impacts 14: 100423 (2022)
[c2]Dario Antweiler
, Georg Fuchs:
Visualizing Rule-based Classifiers for Clinical Risk Prognosis. IEEE VIS (Short Papers) 2022: 55-59- 2021
[c1]Dario Antweiler
, David Sessler, Sebastian Ginzel, Jörn Kohlhammer:
Towards the Detection and Visual Analysis of COVID-19 Infection Clusters. EuroVA@EuroVis 2021: 43-47
Coauthor Index

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last updated on 2025-12-28 00:21 CET by the dblp team
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