Frank Kramer
Orcid: 0000-0002-2857-7122Affiliations:
- University of Augsburg, Faculty of Medicine, Germany
- University Medical Center Göttingen, Department of Medical Statistics, Germany
According to our database1,
Frank Kramer
authored at least 40 papers
between 2013 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
2024
Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Towards a FHIR-Based Framework for Analyzing Nursing-Related Data in Smaller Sized Care Facilities.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
A Web-Based Questionnaire Builder to Facilitate form Management for the Electronic Data Capture with REDCap.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIs.
Proceedings of the German Medical Data Sciences 2024 - Health, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Creating Ontology-annotated Corpora from Wikipedia for Medical Named-entity Recognition.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024
2023
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment.
J. Biomed. Informatics, November, 2023
Annotated dataset creation through large language models for non-english medical NLP.
J. Biomed. Informatics, September, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
The RCX Extension Hub: A Resource for Implementations Extending the R Adaption of the Cytoscape Exchange Format.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Evaluation of the Availability of Nursing Quality Indicators in German FHIR Implementations.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Data and Information Problems in Health Care and How Creative Methods Might Solve Them.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
Data-dependent visualization of biological networks in the web-browser with NDExEdit.
PLoS Comput. Biol., 2022
CoRR, 2022
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP.
CoRR, 2022
An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks.
IEEE Access, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
2021
CoRR, 2021
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.
BMC Medical Imaging, 2021
Proceedings of the Public Health and Informatics, 2021
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models.
Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021
2020
CoRR, 2020
2019
Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.
Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019
2018
2016
2015
BMC Bioinform., 2015
2013
Bioinform., 2013