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Lucas Bickmann

7PUBLICATIONS
17CO-AUTHORS
Deep learningEconomic models and forecastingDisease surveillanceGenomics and transcriptomicsNatural language processing
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Journal

Publications (7)

Sort by Publication Date:
|May 21, 2026
The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering.

|Mar 24, 2026
Response to 'promising advances and remaining challenges in AI-driven QTc estimation' by Zekai Yu.

Lucas Plagwitz, Florian Doldi, Jannes Magerfleisch

|Jan 30, 2026
End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study.

Lucas Bickmann, Lucas Plagwitz, Antonius Büscher

|Jan 10, 2026
Transformer-Based Classification of Transposable Element Consensus Sequences with TEclass2.

Lucas Bickmann, Matias Rodriguez, Xiaoyi Jiang

|Oct 27, 2025
QTcNet: a deep learning model for direct heart rate corrected QT interval estimation.

Lucas Plagwitz, Florian Doldi, Jannes Magerfleisch

|Apr 23, 2025
Benchmark evaluation of DeepSeek large language models in clinical decision-making.

Sarah Sandmann, Stefan Hegselmann, Michael Fujarski

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Frequent Collaborators

6 joint publications

Julian Varghese

4 joint publications

Antonius Büscher

4 joint publications

Lars Eckardt

4 joint publications

Lucas Plagwitz

2 joint publications

Sarah Sandmann

2 joint publications

Dominik Heider

2 joint publications

Florian Doldi

2 joint publications

Maxim Zotov

1 joint publications

Timo Strünker

1 joint publications

Frank Tüttelmann

Frequent Collaborators

6 joint publications

Julian Varghese

4 joint publications

Antonius Büscher

4 joint publications

Lars Eckardt

4 joint publications

Lucas Plagwitz