| Grain size analysis in permanent magnets from Kerr microscopy images using machine learning techniques AK Choudhary, A Jansche, T Grubesa, F Trier, D Goll, T Bernthaler, ... Materials Characterization 186, 111790, 2022 | 13 | 2022 |
| Machine learning for microstructure quantification of different material classes AK Choudhary, A Jansche, T Bernthaler, G Schneider Practical Metallography 57 (7), 475-501, 2020 | 4 | 2020 |
| Machine learning-based Curie temperature prediction for magnetic 14:2:1 phases AK Choudhary, A Kini, D Hohs, A Jansche, T Bernthaler, O Csiszár, ... AIP Advances 13 (03), 035112, 2023 | 2 | 2023 |
| Künstliche Intelligenz in der Materialmikroskopie A Jansche, AK Choudhary, O Badmos, H Baumgartl, T Bernthaler, ... Jahresmagazin Werkstofftechnik: Ingenieurwissenschaften 2019, 14-17, 2019 | 2 | 2019 |
| Machine learning-based mass density model for hard magnetic 14: 2: 1 phases using chemical composition-based features A Kini, AK Choudhary, D Hohs, A Jansche, H Baumgartl, R Büttner, ... Chemical Physics Letters 811, 140231, 2022 | 1 | 2022 |
| Machine learning based detection and deep learning based image inpainting of preparation artefacts in micrographs A Jansche, AK Choudhary, T Bernthaler, G Schneide TechConnect AI World Innovation Conferences, 2021 | 1 | 2021 |
| A machine learning classification model to identify non-metallic inclusions and preparation artefacts in steel alloys AK Choudhary, A Jansche, O Badmos, T Bernthaler, G Schneider Fortschritte in der Metallographie. Vortragstexte der 53, 215-220, 2019 | 1 | 2019 |
| Machine learning for microstructures classification in functional materials AK Choudhary, A Jansche, T Grubesa, T Bernthaler, G Schneider TechConnect World Innovation Conferences 2021, USA 2021, 114-117, 2018 | 1 | 2018 |
| A data-driven approach to predict the saturation magnetization for magnetic 14: 2: 1 phases from chemical composition AK Choudhary, D Hohs, A Jansche, T Bernthaler, D Goll, G Schneider AIP Advances 14 (1), 2024 | | 2024 |
| Deep learning and correlative microscopy for quantification of grain orientation in sintered FeNdB-type permanent magnets by domain pattern analysis AK Choudhary, T Grubesa, A Jansche, T Bernthaler, D Goll, G Schneider Acta Materialia 264, 119563, 2024 | | 2024 |
| Image processing methods and light optical microscopy for in-situ quantification of chromatic change and anode dilation in Li-ion battery graphite anodes during (de-)lithiation A Jansche, S Desapogu, C Hogrefe, AK Choudhary, F Trier, A Kopp, ... Practical Metallography 60 (03), 148-170, 2023 | | 2023 |
| Machine Learning in the Microscopy Lab: How Machine Learning Supports Materials Microscopy A Jansche, AK Choudhary, O Badmos, H Baumgartl, D Sauter, ... imaging and microscopy, 45-47, 2019 | | 2019 |
| Machine Learning in der Materialmikroskopie A Jansche, O Badmos, AK Choudhary, F Trier, D Vogelgsang, A Kopp, ... 119. Jahrestagung der deutschen Gesellschaft für angewandte Optik, 2018 | | 2018 |
| Wie Machine Learning die Materialmikroskopie unterstützt A Jansche, AK Choudhary, O Badmos, T Bernthaler, G Schneider DGM-Jahresmagazin Materialographie 2018, 28-35, 2018 | | 2018 |
