Frank Kramer

Orcid: 0000-0002-2857-7122

Affiliations:
  • 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 33 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer.
CoRR, 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

Towards Automated COVID-19 Presence and Severity Classification.
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
GERNERMED: An open German medical NER model.
Softw. Impacts, 2022

Data-dependent visualization of biological networks in the web-browser with NDExEdit.
PLoS Comput. Biol., 2022

MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data.
CoRR, 2022

Standardized Medical Image Classification across Medical Disciplines.
CoRR, 2022

Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP.
CoRR, 2022

GERNERMED++: Transfer Learning in German Medical NLP.
CoRR, 2022

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation.
CoRR, 2022

An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks.
IEEE Access, 2022

MISeval: A Metric Library for Medical Image Segmentation Evaluation.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Implementation of Gene Expression Profiles in the HL7 FHIR Standard.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression Profiles.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework.
CoRR, 2021

Assessing the Role of Random Forests in Medical Image Segmentation.
CoRR, 2021

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.
BMC Medical Imaging, 2021

COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning.
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


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
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net.
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
New perspectives: systems medicine in cardiovascular disease.
BMC Syst. Biol., 2018

ndexr - an R package to interface with the network data exchange.
Bioinform., 2018

2016
Building pathway graphs from BioPAX data in R.
F1000Research, 2016

2015
Comparative study on gene set and pathway topology-based enrichment methods.
BMC Bioinform., 2015

2013
rBiopaxParser - an R package to parse, modify and visualize BioPAX data.
Bioinform., 2013


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