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Phillip Richter-Pechanski

Showing results (1-10 of 8) with videos related to

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Studies in Health Technology and Informatics|August 28, 2018
De-Identification of German Medical Admission NotesPhillip Richter-Pechanski, Stefan Riezler, Christoph Dieterich
Studies in Health Technology and Informatics|September 5, 2019
Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical ReportsPhillip Richter-Pechanski, Ali Amr, Hugo A Katus, et al.
International Journal of Medical Informatics|June 13, 2025
Extending CARDIO:DE: Additional annotation guidelines and evaluation of NLP approaches for clinical applicationsMatthias Becker, Mario Krumscheid, Alisa Knobelspies, et al.
Digital Health|December 6, 2021
Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language modelsPhillip Richter-Pechanski, Nicolas A Geis, Christina Kiriakou, et al.
Studies in Health Technology and Informatics|May 27, 2021
Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and MeasuresAljoscha Kindermann, Erik Tute, Sebastian Benda, et al.
Journal of Biomedical Informatics|August 23, 2025
Medication information extraction using local large language modelsPhillip Richter-Pechanski, Marvin Seiferling, Christina Kiriakou, et al.
Studies in Health Technology and Informatics|May 19, 2023
Few-Shot and Prompt Training for Text Classification in German Doctor's LettersPhillip Richter-Pechanski, Philipp Wiesenbach, Dominic M Schwab, et al.
Scientific Data|April 14, 2023
A distributable German clinical corpus containing cardiovascular clinical routine doctor's lettersPhillip Richter-Pechanski, Philipp Wiesenbach, Dominic M Schwab, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|August 28, 2018
De-Identification of German Medical Admission NotesPhillip Richter-Pechanski, Stefan Riezler, Christoph Dieterich
Studies in Health Technology and Informatics|September 5, 2019
Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical ReportsPhillip Richter-Pechanski, Ali Amr, Hugo A Katus, et al.
International Journal of Medical Informatics|June 13, 2025
Extending CARDIO:DE: Additional annotation guidelines and evaluation of NLP approaches for clinical applicationsMatthias Becker, Mario Krumscheid, Alisa Knobelspies, et al.
Digital Health|December 6, 2021
Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language modelsPhillip Richter-Pechanski, Nicolas A Geis, Christina Kiriakou, et al.
Studies in Health Technology and Informatics|May 27, 2021
Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and MeasuresAljoscha Kindermann, Erik Tute, Sebastian Benda, et al.
Journal of Biomedical Informatics|August 23, 2025
Medication information extraction using local large language modelsPhillip Richter-Pechanski, Marvin Seiferling, Christina Kiriakou, et al.
Studies in Health Technology and Informatics|May 19, 2023
Few-Shot and Prompt Training for Text Classification in German Doctor's LettersPhillip Richter-Pechanski, Philipp Wiesenbach, Dominic M Schwab, et al.
Scientific Data|April 14, 2023
A distributable German clinical corpus containing cardiovascular clinical routine doctor's lettersPhillip Richter-Pechanski, Philipp Wiesenbach, Dominic M Schwab, et al.
Pageof 1