| Robust vessel segmentation in fundus images A Budai, R Bock, A Maier, J Hornegger, G Michelson International journal of biomedical imaging 2013, 2013 | 217 | 2013 |
| 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 | 183 | 2009 |
| 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 | 154 | 2007 |
| 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 | 139 | 2008 |
| 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 | 134 | 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 | 132 | 2019 |
| Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition M Schuster, A Maier, T Haderlein, E Nkenke, U Wohlleben, F Rosanowski, ... International Journal of Pediatric Otorhinolaryngology 70 (10), 1741-1747, 2006 | 119 | 2006 |
| 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 | 116 | 2017 |
| Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier International conference on medical image computing and computer-assisted …, 2016 | 103 | 2016 |
| 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 | 93 | 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 | 91 | 2018 |
| 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), 1-10, 2017 | 87 | 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 | 71 | 2018 |
| Toward quantitative optical coherence tomography angiography: visualizing blood flow speeds in ocular pathology using variable interscan time analysis SB Ploner, EM Moult, WJ Choi, NK Waheed, BK Lee, EA Novais, ED Cole, ... Retina 36, S118-S126, 2016 | 70 | 2016 |
| Robust multiframe super-resolution employing iteratively re-weighted minimization T Köhler, X Huang, F Schebesch, A Aichert, A Maier, J Hornegger IEEE Transactions on Computational Imaging 2 (1), 42-58, 2016 | 67 | 2016 |
| A comparative error analysis of current time-of-flight sensors P Fürsattel, S Placht, M Balda, C Schaller, H Hofmann, A Maier, C Riess IEEE Transactions on Computational Imaging 2 (1), 27-41, 2015 | 64 | 2015 |
| Writer identification using GMM supervectors and exemplar-SVMs V Christlein, D Bernecker, F Hönig, A Maier, E Angelopoulou Pattern Recognition 63, 258-267, 2017 | 63 | 2017 |
| Automatic cell detection in bright-field microscope images using SIFT, random forests, and hierarchical clustering F Mualla, S Schöll, B Sommerfeldt, A Maier, J Hornegger IEEE transactions on medical imaging 32 (12), 2274-2286, 2013 | 63 | 2013 |
| Automatic detection of articulation disorders in children with cleft lip and palate A Maier, F Hönig, T Bocklet, E Nöth, F Stelzle, E Nkenke, M Schuster The Journal of the Acoustical Society of America 126 (5), 2589-2602, 2009 | 63 | 2009 |
| 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 | 61 | 2019 |
Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg確認したメール アドレス: fau.de
