Maier, Andreas

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Ghesu, F.-C., Georgescu, B., Zheng, Y., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 310

Robust non-rigid registration through agent-based action learning

Krebs, J., Mansi, T., Delingette, H., Zhang, L., Ghesu, F. C., Miao, S., Maier, A. K., Ayache, N., Liao, R., & Kamen, A. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 225

PEAKS – A system for the automatic evaluation of voice and speech disorders

Maier, A., Haderlein, T., Eysholdt, U., Rosanowski, F., Batliner, A., Schuster, M., & Nöth, E. (2009) · Speech Communication

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 163

Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition

Schuster, M., Maier, A., Haderlein, T., Nkenke, E., Wohlleben, U., Rosanowski, F., Eysholdt, U., & Nöth, E. (2006) · International Journal of Pediatric Otorhinolaryngology

Cleft Lip and Palate ResearchLanguage Development and Disorders

Cited by 94

Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition

Demir, K. C., Schieber, H., Weise, T., Roth, D., May, M., Maier, A., & Yang, S. H. (2023) · IEEE Journal of Biomedical and Health Informatics

Surgical Simulation and TrainingMachine Learning in Healthcare

Cited by 90

Marker‐free motion correction in weight‐bearing cone‐beam CT of the knee joint

Berger, M., Müller, K., Aichert, A., Unberath, M., Thies, J., Choi, J. ‐., Fahrig, R., & Maier, A. (2016) · Medical Physics

Medical Image Segmentation TechniquesAdvanced X-ray and CT Imaging

Cited by 72

Automatic detection of articulation disorders in children with cleft lip and palate

Maier, A., Hönig, F., Bocklet, T., Nöth, E., Stelzle, F., Nkenke, E., & Schuster, M. (2009) · The Journal of the Acoustical Society of America

Cleft Lip and Palate ResearchPhonetics and Phonology Research

Cited by 71

Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.

Schilling, A., Sedley, W., Gerum, R., Metzner, C., Tziridis, K., Maier, A., Schulze, H., Zeng, F.-G., Friston, K. J., & Krauss, P. (2023) · Brain

Hearing, Cochlea, Tinnitus, GeneticsNeuroscience and Music Perception

Cited by 70

A Survey of Sensors in Healthcare Workflow Monitoring

Antunes, R. S., Seewald, L. A., Rodrigues, V. F., Costa, C. A. D., Jr., L. G., Righi, R. R., Maier, A., Eskofier, B., Ollenschläger, M., Naderi, F., et al. (2019) · ACM Computing Surveys

Context-Aware Activity Recognition SystemsHealthcare Technology and Patient Monitoring

Cited by 48

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

Bier, B., Goldmann, F., Zaech, J.-N., Fotouhi, J., Hegeman, R., Grupp, R., Armand, M., Osgood, G., Navab, N., Maier, A., et al. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 43

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair

Breininger, K., Albarqouni, S., Kurzendorfer, T., Pfister, M., Kowarschik, M., & Maier, A. (2018) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 38

Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion

Jaganathan, S., Kukla, M., Wang, J., Shetty, K., & Maier, A. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 30

Deep Iterative 2D/3D Registration

Jaganathan, S., Wang, J., Borsdorf, A., Shetty, K., & Maier, A. (2021) · Lecture Notes in Computer Science

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 21

Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration

Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 19

Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees

Bier, B., Aschoff, K., Syben, C., Unberath, M., Levenston, M., Gold, G., Fahrig, R., & Maier, A. (2018) · Lecture Notes in Computer Science

Medical Imaging and AnalysisDental Radiography and Imaging

Cited by 16

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids

Oelhaf, J., Kordowich, G., Pérez-Toro, P. A., Arias-Vergara, T., Maier, A., Jäger, J., & Bayer, S. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Power Systems Fault DetectionElectrical Fault Detection and Protection

Cited by 2

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection

Oelhaf, J., Kordowich, G., Kim, C., Pérez-Toro, P. A., Maier, A., Jäger, J., & Bayer, S. (2025) · 2025 33rd European Signal Processing Conference (EUSIPCO)

Power Systems Fault DetectionPower System Optimization and Stability

Cited by 0