Dominik Müller

44 papers C 1Journal 27Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Comparative Analysis of Machine Learning Models for 3-month Survival Prediction in Aneurysmal Subarachnoid Hemorrhage. Bildverarbeitung für die Medizin Alexia Rizoudis, Santiago Cepeda, Frank Kramer, Dominik Müller
2025	J	`jnl`	Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinement. CoRR Sara Krauss, Ellena Spieß, Daniel Hieber, Frank Kramer, Johannes Schobel, Dominik Müller
2025	—	`conf`	Classifying the AMi-Br Mitotic Figure Dataset with AUCMEDI. GMDS Daniel Hieber, Friederike Liesche-Starnecker, Johannes Schobel, Rüdiger Pryss, Frank Kramer, Dominik Müller
2025	J	`jnl`	RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 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
2024	—	`conf`	Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. MIE 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
2024	J	`jnl`	Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. CoRR 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
2024	—	`conf`	Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening. MIE Guelsuem Pehlivan, Carl Mathis Wild, Julia Baumgartl, Dennis Hartmann, Nina Ditsch, Frank Kramer, Dominik Müller
2024	J	`jnl`	DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks. CoRR Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler
2024	—	`conf`	Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIs. GMDS Katharina Ott, Santiago Cepeda, Dennis Hartmann, Frank Kramer, Dominik Müller
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 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
2024	—	`conf`	Towards a FHIR-Based Framework for Analyzing Nursing-Related Data in Smaller Sized Care Facilities. MIE Steffen Netzband, Dominik Müller, Stefanie Meyer, Jeton Iseni, Frank Kramer
2023	—	`conf`	Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. Bildverarbeitung für die Medizin Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer
2023	J	`jnl`	Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan. CoRR Sergio Garcia-Garcia, Santiago Cepeda, Dominik Müller, Alejandra Mosteiro, Ramon Torne, Silvia Agudo, Natalia de la Torre, Ignacio Arrese, Rosario Sarabia
2023	—	`—`	Frameworks in medical image analysis with deep neural networks Dominik Müller
2023	—	`conf`	The RCX Extension Hub: A Resource for Implementations Extending the R Adaption of the Cytoscape Exchange Format. MIE Florian Auer, Nadja Bramkamp, Simone Mayer, Dominik Müller, Frank Kramer
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR 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 Dubois
2023	—	`conf`	Towards Automated COVID-19 Presence and Severity Classification. MIE Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer
2023	J	`jnl`	Towards Automated COVID-19 Presence and Severity Classification. CoRR Dominik Müller, Niklas Schröter, Silvan Mertes, Fabio Hellmann, Miriam Elia, Wolfgang Reif, Bernhard Bauer, Elisabeth André, Frank Kramer
2022	—	`conf`	Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression Profiles. ICIMTH Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer
2022	J	`jnl`	An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks. IEEE Access Dominik Müller, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2022	—	`conf`	Implementation of Gene Expression Profiles in the HL7 FHIR Standard. MIE Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer
2022	—	`conf`	MISeval: A Metric Library for Medical Image Segmentation Evaluation. MIE Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	MISeval: a Metric Library for Medical Image Segmentation Evaluation. CoRR Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data. CoRR Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer
2022	J	`jnl`	Perspective on Code Submission and Automated Evaluation Platforms for University Teaching. CoRR Florian Auer, Johann Frei, Dominik Müller, Frank Kramer
2022	J	`jnl`	Standardized Medical Image Classification across Medical Disciplines. CoRR Simone Mayer, Dominik Müller, Frank Kramer
2022	J	`jnl`	Towards a Guideline for Evaluation Metrics in Medical Image Segmentation. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	Assessing the Role of Random Forests in Medical Image Segmentation. CoRR Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	—	`conf`	COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning. MIE Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework. CoRR Pia Schneider, Dominik Müller, Frank Kramer
2021	J	`jnl`	MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning. BMC Medical Imaging Dominik Müller, Frank Kramer
2021	—	`conf`	Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models. GMDS Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	New Simulation Software Technologies at the LHCb Experiment at CERN. Comput. Informatics Michal Mazurek, Gloria Corti, Dominik Müller
2021	—	`conf`	Perspective on Code Submission and Automated Evaluation Platforms for University Teaching. MedInfo Florian Auer, Johann Frei, Dominik Müller, Frank Kramer
2020	J	`jnl`	Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2019	J	`jnl`	Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso. Comput. Stat. Data Anal. Dominik Müller, Claudia Czado
2019	J	`jnl`	MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning. CoRR Dominik Müller, Frank Kramer
2019	J	`jnl`	Selection of sparse vine copulas in high dimensions with the Lasso. Stat. Comput. Dominik Müller, Claudia Czado
2016	J	`jnl`	Transient thermal analysis for accelerated reliability testing of LEDs. Microelectron. Reliab. Gordon Elger, Dominik Müller, Alexander Hanß, Maximilian Schmid, E. Liu, Udo Karbowski, Robert Derix
2015	J	`jnl`	Tree Nash Equilibria in the Network Creation Game. Internet Math. Akaki Mamageishvili, Matús Mihalák, Dominik Müller
2013	C	`conf`	Tree Nash Equilibria in the Network Creation Game. WAW Akaki Mamageishvili, Matús Mihalák, Dominik Müller
2013	J	`jnl`	Tree Nash Equilibria in the Network Creation Game. CoRR Akaki Mamageishvili, Matús Mihalák, Dominik Müller