Lucas Plagwitz

15 papers Journal 5Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning.
CoRR
Lucas Bickmann, Lucas Plagwitz, Antonius Büscher, Lars Eckardt, Julian Varghese
2025 J jnl
Fine-Tuning LLMs on Small Medical Datasets: Text Classification and Normalization Effectiveness on Cardiology reports and Discharge records.
CoRR
Noah Losch, Lucas Plagwitz, Antonius Büscher, Julian Varghese
2024 — conf
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution.
MIE
Lucas Plagwitz, Lucas Bickmann, Antonius Büscher, Julian Varghese
2024 — conf
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset.
MIE
Lucas Bickmann, Lucas Plagwitz, Julian Varghese
2024 J jnl
Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies.
Biomed. Signal Process. Control.
Lucas Plagwitz, Sangcheon Choi, Xin Yu, Daniel Segelcke, Henriette Lambers, Esther Pogatzki-Zahn, Julian Varghese, Cornelius Faber, Bruno Pradier
2024 J jnl
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering.
CoRR
Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese
2024 — conf
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts.
GMDS
Lucas Plagwitz, Philipp Neuhaus, Kemal Yildirim, Noah Losch, Julian Varghese, Antonius Büscher
2023 — conf
Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias.
MIE
Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese
2023 — conf
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation.
MIE
Michael Fujarski, Christian Porschen, Lucas Plagwitz, Daniel Stroth, Catharina Marie van Alen, Mahan Sadjadi, Raphael Weiss, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese
2023 — conf
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.
MIE
Lucas Bickmann, Lucas Plagwitz, Julian Varghese
2023 — conf
The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models.
MIE
Lucas Plagwitz, Tobias Vogelsang, Florian Doldi, Lucas Bickmann, Michael Fujarski, Lars Eckardt, Julian Varghese
2022 — conf
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.
MIE
Michael Fujarski, Christian Porschen, Lucas Plagwitz, Alexander Brenner, Narges Ghoreishi, Patrick Thoral, Harm-Jan de Grooth, Paul W. G. Elbers, Raphael Weiss, Melanie Meersch, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese
2022 — conf
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.
MIE
Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese
2022 — conf
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders.
MIE
Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese
2020 J jnl
PHOTON - A Python API for Rapid Machine Learning Model Development.
CoRR
Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn