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BMC Medical Imaging|January 19, 2021
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learningDominik Müller, Frank KramerStudies in Health Technology and Informatics|September 21, 2021
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning ModelsDominik Müller, Iñaki Soto-Rey, Frank KramerBMC Research Notes|June 20, 2022
Towards a guideline for evaluation metrics in medical image segmentationDominik Müller, Iñaki Soto-Rey, Frank KramerInformatics in Medicine Unlocked|August 2, 2021
Robust chest CT image segmentation of COVID-19 lung infection based on limited dataDominik Müller, Iñaki Soto-Rey, Frank KramerStudies in Health Technology and Informatics|June 8, 2022
Perspective on Code Submission and Automated Evaluation Platforms for University TeachingFlorian Auer, Johann Frei, Dominik Müller, et al.Studies in Health Technology and Informatics|July 1, 2022
Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression ProfilesFlorian Auer, Zhibek Abdykalykova, Dominik Müller, et al.Studies in Health Technology and Informatics|May 25, 2022
Implementation of Gene Expression Profiles in the HL7 FHIR StandardFlorian Auer, Zhibek Abdykalykova, Dominik Müller, et al.Studies in Health Technology and Informatics|July 1, 2025
Managing FHIR Servers with Docker Containers for Practical Courses in University TeachingJohann Frei, Dominik Müller, Frank Kramer, et al.Studies in Health Technology and Informatics|May 27, 2021
COVID-19 Image Segmentation Based on Deep Learning and Ensemble LearningPhilip Meyer, Dominik Müller, Iñaki Soto-Rey, et al.Studies in Health Technology and Informatics|September 5, 2024
Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIsKatharina Ott, Santiago Cepeda, Dennis Hartmann, et al.Pageof 28