| Robust vessel segmentation in fundus images A Budai, R Bock, A Maier, J Hornegger, G Michelson International journal of biomedical imaging 2013 (1), 154860, 2013 | 793 | 2013 |
| A gentle introduction to deep learning in medical image processing A Maier, C Syben, T Lasser, C Riess Zeitschrift für Medizinische Physik 29 (2), 86-101, 2019 | 701 | 2019 |
| Automatic classification of defective photovoltaic module cells in electroluminescence images S Deitsch, V Christlein, S Berger, C Buerhop-Lutz, A Maier, F Gallwitz, ... Solar Energy 185, 455-468, 2019 | 655* | 2019 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 518 | 2021 |
| Multi-scale deep reinforcement learning for real-time 3D-landmark detection in CT scans FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier, J Hornegger, ... IEEE transactions on pattern analysis and machine intelligence 41 (1), 176-189, 2017 | 390 | 2017 |
| Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning M Aubreville, C Knipfer, N Oetter, C Jaremenko, E Rodner, J Denzler, ... Scientific reports 7 (1), 11979, 2017 | 365 | 2017 |
| Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ... IEEE transactions on medical imaging 37 (6), 1454-1463, 2018 | 310 | 2018 |
| Robust non-rigid registration through agent-based action learning J Krebs, T Mansi, H Delingette, L Zhang, FC Ghesu, S Miao, AK Maier, ... International conference on medical image computing and computer-assisted …, 2017 | 296 | 2017 |
| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, S Liu, A Maier, D Comaniciu Iberoamerican Congress on Pattern Recognition, 757-765, 2018 | 271 | 2018 |
| PEAKS–A system for the automatic evaluation of voice and speech disorders A Maier, T Haderlein, U Eysholdt, F Rosanowski, A Batliner, M Schuster, ... Speech Communication 51 (5), 425-437, 2009 | 245 | 2009 |
| Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier International conference on medical image computing and computer-assisted …, 2016 | 233 | 2016 |
| Medical imaging systems: An introductory guide A Maier, S Steidl, V Christlein, J Hornegger Springer, 2018 | 212 | 2018 |
| Learning with known operators reduces maximum error bounds AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ... Nature machine intelligence 1 (8), 373-380, 2019 | 211 | 2019 |
| Classification of breast cancer histology images using transfer learning S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier International conference image analysis and recognition, 812-819, 2018 | 210 | 2018 |
| A benchmark for visual identification of defective solar cells in electroluminescence imagery C Buerhop-Lutz, S Deitsch, A Maier, F Gallwitz, S Berger, B Doll, J Hauch, ... 35th European PV Solar Energy Conference and Exhibition 12871289, 1287-1289, 2018 | 199 | 2018 |
| Age and gender recognition for telephone applications based on gmm supervectors and support vector machines T Bocklet, A Maier, JG Bauer, F Burkhardt, E Noth 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 185 | 2008 |
| Towards more reality in the recognition of emotional speech B Schuller, D Seppi, A Batliner, A Maier, S Steidl 2007 IEEE international conference on acoustics, speech and signal …, 2007 | 184 | 2007 |
| CONRAD—A software framework for cone‐beam imaging in radiology A Maier, HG Hofmann, M Berger, P Fischer, C Schwemmer, H Wu, ... Medical physics 40 (11), 111914, 2013 | 180 | 2013 |
| Deep generalized max pooling V Christlein, L Spranger, M Seuret, A Nicolaou, P Král, A Maier 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 173 | 2019 |
| Mitosis domain generalization in histopathology images—the MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 170 | 2023 |
Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
