Dominik Müller

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Convolutional Neural Networks

Gene Expression Profiles

Image Segmentation

Top Venues

Comput. Informatics

Publications

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
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97 (2024)
Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks. CoRR (2024)
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
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. CoRR (2024)
Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer
Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. Bildverarbeitung für die Medizin (2023)
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, 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 Dubois
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR (2023)
Dominik Müller, Niklas Schröter, Silvan Mertes, Fabio Hellmann, Miriam Elia, Wolfgang Reif, Bernhard Bauer, Elisabeth André, Frank Kramer
Towards Automated COVID-19 Presence and Severity Classification. CoRR (2023)
Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer
Towards Automated COVID-19 Presence and Severity Classification. MIE (2023)
Florian Auer, Nadja Bramkamp, Simone Mayer, Dominik Müller, Frank Kramer
The RCX Extension Hub: A Resource for Implementations Extending the R Adaption of the Cytoscape Exchange Format. MIE (2023)
Sergio Garcia-Garcia, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramon Torne, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia
Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan. CoRR (2023)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation. CoRR (2022)
Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer
Implementation of Gene Expression Profiles in the HL7 FHIR Standard. MIE (2022)
Simone Mayer, Dominik Müller, Frank Kramer
Standardized Medical Image Classification across Medical Disciplines. CoRR (2022)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks. IEEE Access 10 (2022)
Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer
Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression Profiles. ICIMTH (2022)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks. CoRR (2022)
Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
MISeval: A Metric Library for Medical Image Segmentation Evaluation. MIE (2022)
Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
MISeval: a Metric Library for Medical Image Segmentation Evaluation. CoRR (2022)
Florian Auer, Johann Frei, Dominik Müller, Frank Kramer
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching. CoRR (2022)
Adrian Pfleiderer, Dominik Müller, Frank Kramer
Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework. CoRR (2022)
Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data. CoRR (2022)
Michal Mazurek, Gloria Corti, Dominik Müller
New Simulation Software Technologies at the LHCb Experiment at CERN. Comput. Informatics 40 (4) (2021)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models. GMDS (2021)
Florian Auer, Johann Frei, Dominik Müller, Frank Kramer
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching. MedInfo (2021)
Pia Schneider, Dominik Müller, Frank Kramer
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework. CoRR (2021)
Dominik Müller, Frank Kramer
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning. BMC Medical Imaging 21 (1) (2021)
Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer
Assessing the Role of Random Forests in Medical Image Segmentation. CoRR (2021)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models. CoRR (2021)
Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer
COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning. MIE (2021)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net. CoRR (2020)
Dominik Müller, Claudia Czado
Selection of sparse vine copulas in high dimensions with the Lasso. Stat. Comput. 29 (2) (2019)
Dominik Müller, Claudia Czado
Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso. Comput. Stat. Data Anal. 137 (2019)
Dominik Müller, Frank Kramer
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning. CoRR (2019)
Gordon Elger, Dominik Müller, Alexander Hanß, Maximilian Schmid, E. Liu, Udo Karbowski, Robert Derix
Transient thermal analysis for accelerated reliability testing of LEDs. Microelectron. Reliab. 64 (2016)
Akaki Mamageishvili, Matús Mihalák, Dominik Müller
Tree Nash Equilibria in the Network Creation Game. Internet Math. 11 (4-5) (2015)
Akaki Mamageishvili, Matús Mihalák, Dominik Müller
Tree Nash Equilibria in the Network Creation Game. CoRR (2013)
Akaki Mamageishvili, Matús Mihalák, Dominik Müller
Tree Nash Equilibria in the Network Creation Game. WAW (2013)