| Dokumenttyp | Erscheinungsjahr | Titel | Autoren | Herausgeber |
|---|
| article | 2024 | Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures | Müller, Martin; Stiefel, Marie; Bachmann, Björn-Ivo; Britz, Dominik; Mücklich, Frank | |
| article | 2024 | Improved carbide volume fraction estimation in as-cast HCCI alloys using machine learning techniques | Nayak, U. Pranav; Müller, Martin; Quartz, Noah; Guitar, M. Agustina; Mücklich, Frank | |
| article | 2024 | Enhancing machine learning classification of microstructures: A workflow study on joining image data and metadata in CNN | Stiefel, Marie; Müller, Martin; Bachmann, Björn-Ivo; Guitar, Maria Agustina; Nayak, Ullal Pranav; Mücklich, Frank | |
| article | 2024 | Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques | Bachmann, Björn-Ivo; Müller, Martin; Stiefel, Marie; Britz, Dominik; Staudt, Thorsten; Mücklich, Frank | |
| article | 2024 | Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy | Husarek, Julius; Hess, Silvan; Razaeian, Sam; Ruder, Thomas D.; Sehmisch, Stephan; Müller, Martin; Liodakis, Emmanouil | |
| article | 2023 | Reproducible Quantification of the Microstructure of Complex Quenched and Quenched and Tempered Steels Using Modern Methods of Machine Learning | Bachmann, Björn-Ivo; Müller, Martin; Britz, Dominik; Staudt, Thorsten; Mücklich, Frank | |
| doctoralThesis | 2023 | Klassifizierung komplexer Gefüge mit maschinellem Lernen am Beispiel bainitischer Stähle | Müller, Martin | |
| article | 2022 | Determining and modelling a complete time-temperature-transformation diagram for a Pt-based metallic glass former through combination of conventional and fast scanning calorimetry | Frey, M.; Neuber, N.; Müller, M.; Gross, O.; Riegler, S.S.; Gallino, I.; Busch, R. | |
| article | 2022 | Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy | Bachmann, Björn-Ivo; Müller, Martin; Britz, Dominik; Durmaz, Ali Riza; Ackermann, Marc; Shchyglo, Oleg; Staudt, Thorsten; Mücklich, Frank | |
| article | 2021 | Microstructural Classification of Bainitic Subclasses in Low-Carbon Multi-Phase Steels Using Machine Learning Techniques | Müller, Martin; Britz, Dominik; Staudt, Thorsten; Mücklich, Frank | |
| article | 2020 | Classification of Bainitic Structures Using Textural Parameters and Machine Learning Techniques | Müller, Martin; Britz, Dominik; Ulrich, Laura; Staudt, Thorsten; Mücklich, Frank | |
| article | 2020 | Segmentation of Lath-Like Structures via Localized Identification of Directionality in a Complex-Phase Steel | Müller, Martin; Stanke, Gerd; Sonntag, Ulrich; Britz, Dominik; Mücklich, Frank | |
| article | 2020 | Metabolic implication of tigecycline as an efficacious second-line treatment for sorafenib-resistant hepatocellular carcinoma | Meßner, Martina; Schmitt, Sabine; Ardelt, Maximilian A.; Fröhlich, Thomas; Müller, Martin; Pein, Helmut; Huber-Cantonati, Petra; Ortler, Carina; Koenig, Lars M.; Zobel, Lena; Koeberle, Andreas; Arnold, Georg J.; Rothenfußer, Simon; Kiemer, Alexandra K.; Gerbes, Alexander L.; Zischka, Hans; Vollmar, Angelika M; Pachmayr, Johanna | |
| article | 2018 | Inhibition of Cyclin-Dependent Kinase 5 : A Strategy to Improve Sorafenib Response in Hepatocellular Carcinoma Therapy | Ardelt, Maximilian A.; Fröhlich, Thomas; Martini, Emanuele; Müller, Martin; Kanitz, Veronika; Atzberger, Carina; Cantonati, Petra; Meßner, Martina; Posselt, Laura; Lehr, Thorsten; Wojtyniak, Jan-Georg; Ulrich, Melanie; Arnold, Georg J.; König, Lars; Parazzoli, Dario; Zahler, Stefan; Rothenfußer, Simon; Mayr, Doris; Gerbes, Alexander; Scita, Giorgio; Vollmar, Angelika M.; Pachmayr, Johanna | |
