RESEARCHER PROFILE

Andreas Maier

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Friedrich-Alexander-Universität Erlangen-Nürnberg

Medical Image Segmentation TechniquesMedical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingAI in cancer detectionAdvanced Neural Network Applications

Andreas Maier works in Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, AI in cancer detection, Advanced Neural Network Applications. Recorded institutional associations include Friedrich-Alexander-Universität Erlangen-Nürnberg.

1,390Publications
17,408Citations
57H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Robust Vessel Segmentation in Fundus Images

    2013 · 642 citations

  2. Automatic classification of defective photovoltaic module cells in electroluminescence images

    2019 · 558 citations

  3. A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

    2020 · 518 citations

  4. A gentle introduction to deep learning in medical image processing

    2019 · 515 citations

  5. Medical Imaging Systems

    2018 · 416 citations

  6. Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning

    2017 · 326 citations

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

    2017 · 309 citations

  8. Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems

    2018 · 245 citations

  9. Robust Non-rigid Registration Through Agent-Based Action Learning

    2017 · 198 citations

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

    2009 · 163 citations

  11. Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

    2019 · 159 citations

  12. Mitosis domain generalization in histopathology images — The MIDOG challenge

    2022 · 158 citations

  13. Learning with known operators reduces maximum error bounds

    2019 · 145 citations

  14. Classification of Breast Cancer Histology Images Using Transfer Learning

    2018 · 142 citations

  15. OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

    2024 · 141 citations

  16. TOWARD QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY

    2016 · 135 citations

  17. Deep Learning Computed Tomography

    2016 · 131 citations

  18. Some Investigations on Robustness of Deep Learning in Limited Angle Tomography

    2018 · 130 citations

  19. ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

    2019 · 128 citations

  20. Towards More Reality in the Recognition of Emotional Speech

    2007 · 123 citations

  21. CONRAD—A software framework for cone‐beam imaging in radiology

    2013 · 120 citations

  22. Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

    2008 · 116 citations

  23. Writer Identification Using GMM Supervectors and Exemplar-SVMs

    2016 · 116 citations

  24. A Benchmark for Visual Identification of Defective Solar Cells in Electroluminescence Imagery

    2018 · 115 citations

  25. Deepfilternet: A Low Complexity Speech Enhancement Framework for Full-Band Audio Based On Deep Filtering

    2022 · 112 citations

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