Andreas K. Maier

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Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Vincent ChristleinUniversity Erlangen-NurembergVerified email at fau.de
Elmar NöthUniversity of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Christian RiessFriedrich-Alexander-University of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Marc AubrevilleProfessor at Flensburg University of Applied Sciences, Flensburg, GermanyVerified email at hs-flensburg.de
Katharina BreiningerDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-UniversitätVerified email at fau.de
Mathias UnberathJohns Hopkins UniversityVerified email at jhu.edu
Tobias WürflSiemens HealthineersVerified email at siemens-healthineers.com
Christopher SybenScientist, Siemens Healthcare GmbHVerified email at fau.de
Yixing Huang (黄益星)Peking UniversityVerified email at pku.edu.cn
Stefan B. PlonerPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Markus KowarschikInnovation Team Lead at Siemens Healthcare GmbH & Guest Lecturer at TU MunichVerified email at in.tum.de
Jang-Hwan ChoiAssociate Professor of Department of Artificial IntelligenceVerified email at ewha.ac.kr
Nishant RavikumarLecturer, School of Computing, University of LeedsVerified email at leeds.ac.uk
Martin BergerSiemens HealthineersVerified email at siemens-healthineers.com
Lennart HusvogtPhD Candidate, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Nadia K WaheedTufts University School of Medicine, Boston Image Reading CenterVerified email at tuftsmedicalcenter.org
Oliver TaubmannSiemens HealthineersVerified email at siemens-healthineers.com
Christof BertramUniversity of Veterinary Medicine ViennaVerified email at vetmeduni.ac.at
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenVerified email at cs.fau.de

Andreas K. Maier

University of Erlangen-Nuremberg

Verified email at fau.de - Homepage

pattern recognition machine learning speech processing medical speech processing image reconstruction


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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	632	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	617	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	464*	2019
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	334	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	286	2017
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	273	2021
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	266	2018
Robust non-rigid registration through agent-based action learning J Krebs, T Mansi, H Delingette, L Zhang, FC Ghesu, S Miao, AK Maier, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	265	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 Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019	225	2019
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	225	2009
Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016	214	2016
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	189	2019
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
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	178	2008
Classification of breast cancer histology images using transfer learning S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018	177	2018
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	168	2013
Medical imaging systems: An introductory guide A Maier, S Steidl, V Christlein, J Hornegger Springer, 2018	165	2018
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	153	2006
Writer identification using GMM supervectors and exemplar-SVMs V Christlein, D Bernecker, F Hönig, A Maier, E Angelopoulou Pattern Recognition 63, 258-267, 2017	138	2017
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	136	2016

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