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
Mathias UnberathJohns Hopkins UniversityVerified email at jhu.edu
Marc AubrevilleProfessor at Technische Hochschule Ingolstadt, Ingolstadt, GermanyVerified email at thi.de
Tobias WürflSiemens HealthineersVerified email at siemens-healthineers.com
Katharina BreiningerDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-UniversitätVerified email at fau.de
Christopher SybenFraunhofer Development Center X-Ray Technology (EZRT)Verified email at fau.de
Jang-Hwan ChoiAssociate Professor of Division of Mechanical and Biomedical EngineeringVerified email at ewha.ac.kr
Markus KowarschikInnovation Team Lead at Siemens Healthcare GmbH & Guest Lecturer at TU MunichVerified email at in.tum.de
Nishant RavikumarLecturer, School of Computing, University of LeedsVerified email at leeds.ac.uk
Martin BergerSiemens HealthineersVerified email at siemens-healthineers.com
Stefan B. PlonerPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Oliver TaubmannSiemens HealthineersVerified email at siemens-healthineers.com
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenVerified email at cs.fau.de
Lennart HusvogtPhD Candidate, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Huang Yixing (黄益星)Friedrich-Alexander-University Erlangen-NurembergVerified email at fau.de
André AichertSiemens Healthineers, Digital Technology & InnovationVerified email at informatik.uni-erlangen.de
Nadia K WaheedTufts University School of Medicine, Boston Image Reading CenterVerified email at tuftsmedicalcenter.org

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, 2013	484	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	452	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	284*	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	251	2017
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	229	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	216	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	212	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	209	2009
Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016	189	2016
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	176	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	175	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	171	2013
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	171	2008
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	145	2006
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	140	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	137	2019
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	114	2016
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	113	2021
Adversarial and perceptual refinement for compressed sensing MRI reconstruction M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	113	2018
Writer identification using GMM supervectors and exemplar-SVMs V Christlein, D Bernecker, F Hönig, A Maier, E Angelopoulou Pattern Recognition 63, 258-267, 2017	112	2017

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