Dominik Müller

According to our database, Dominik Müller authored at least 31 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau

Medical Image Anal., 2025

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks.

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler

CoRR, 2024

Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening.

Guelsuem Pehlivan, Carl Mathis Wild, Julia Baumgartl, Dennis Hartmann, Nina Ditsch, Frank Kramer, Dominik Müller

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.

Steffen Netzband, Dominik Müller, Stefanie Meyer, Jeton Iseni, Frank Kramer

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.

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Daniel Hieber, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Frank Kramer, Iñaki Soto Rey, Johannes Raffler

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.

Katharina Ott, Santiago Cepeda, Dennis Hartmann, Frank Kramer, Dominik Müller

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

Frameworks in medical image analysis with deep neural networks

Dominik Müller

PhD thesis, 2023

Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan.

Sergio Garcia-Garcia, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramon Torne, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia

CoRR, 2023

Towards Automated COVID-19 Presence and Severity Classification.

Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer

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.

Florian Auer, Nadja Bramkamp, Simone Mayer, Dominik Müller, Frank Kramer

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern.

Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

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

Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer

CoRR, 2022

Standardized Medical Image Classification across Medical Disciplines.

Simone Mayer, Dominik Müller, Frank Kramer

CoRR, 2022

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2022

An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

IEEE Access, 2022

MISeval: A Metric Library for Medical Image Segmentation Evaluation.

Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Implementation of Gene Expression Profiles in the HL7 FHIR Standard.

Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer

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.

Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

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

Pia Schneider, Dominik Müller, Frank Kramer

CoRR, 2021

Assessing the Role of Random Forests in Medical Image Segmentation.

Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2021

New Simulation Software Technologies at the LHCb Experiment at CERN.

Michal Mazurek, Gloria Corti, Dominik Müller

Comput. Informatics, 2021

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.

Dominik Müller, Frank Kramer

BMC Medical Imaging, 2021

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

Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer

Proceedings of the Public Health and Informatics, 2021

Perspective on Code Submission and Automated Evaluation Platforms for University Teaching.

Florian Auer, Johann Frei, Dominik Müller, Frank Kramer

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.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

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.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2020

2019

Selection of sparse vine copulas in high dimensions with the Lasso.

Dominik Müller, Claudia Czado

Stat. Comput., 2019

Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso.

Dominik Müller, Claudia Czado

Comput. Stat. Data Anal., 2019

2016

Transient thermal analysis for accelerated reliability testing of LEDs.

Gordon Elger, Dominik Müller, Alexander Hanß, Maximilian Schmid, E. Liu, Udo Karbowski, Robert Derix

Microelectron. Reliab., 2016

2015

Tree Nash Equilibria in the Network Creation Game.

Akaki Mamageishvili, Matús Mihalák, Dominik Müller

Internet Math., 2015