RESEARCHER PROFILE

Anke Meyer‐Baese

← Back to Florida State University

A

Florida State University

Neural Networks and ApplicationsMedical Image Segmentation TechniquesFunctional Brain Connectivity StudiesMRI in cancer diagnosisRadiomics and Machine Learning in Medical Imaging

Anke Meyer‐Baese works in Neural Networks and Applications, Medical Image Segmentation Techniques, Functional Brain Connectivity Studies, MRI in cancer diagnosis, Radiomics and Machine Learning in Medical Imaging. Recorded institutional associations include Florida State University, Technical University of Munich.

371Publications
3,649Citations
31H-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. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients

    2018 · 274 citations

  2. Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales

    1996 · 177 citations

  3. Global exponential stability of competitive neural networks with different time scales

    2003 · 122 citations

  4. Probabilistic neural networks

    2019 · 106 citations

  5. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support

    2016 · 92 citations

  6. Neural network-based EKG pattern recognition

    2002 · 79 citations

  7. Contrast-enhanced spectral mammography in the evaluation of breast suspicious calcifications: diagnostic accuracy and impact on surgical management

    2019 · 70 citations

  8. Local exponential stability of competitive neural networks with different time scales

    2004 · 67 citations

  9. Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering Versus Independent Component Analysis

    2004 · 66 citations

  10. Foundations of Neural Networks

    2014 · 65 citations

  11. Fully automated biomedical image segmentation by self-organized model adaptation

    2004 · 64 citations

  12. Pattern Recognition in Medical Imaging

    2003 · 64 citations

  13. Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series

    2005 · 58 citations

  14. Medical image compression using topology-preserving neural networks

    2004 · 57 citations

  15. Model-free functional MRI analysis based on unsupervised clustering

    2004 · 57 citations

  16. Model-free functional MRI analysis using cluster-based methods

    2003 · 56 citations

  17. Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data

    2022 · 54 citations

  18. Segmentation and classification of dynamic breast magnetic resonance image data

    2006 · 51 citations

  19. Biomedical Signal Analysis

    2010 · 51 citations

  20. Classification of Small Contrast Enhancing Breast Lesions in Dynamic Magnetic Resonance Imaging Using a Combination of Morphological Criteria and Dynamic Analysis Based on Unsupervised Vector-Quantization

    2007 · 50 citations

  21. Stability analysis of a self-organizing neural network with feedforward and feedback dynamics

    2005 · 48 citations

  22. Computing H/D-Exchange rates of single residues from data of proteolytic fragments

    2010 · 45 citations

  23. Feature Selection and Extraction

    2014 · 44 citations

  24. AI ‐Enhanced Diagnosis of Challenging Lesions in Breast MRI : A Methodology and Application Primer

    2020 · 41 citations

  25. Biomedical Signal Analysis: Contemporary Methods and Applications

    2010 · 39 citations

← Return to the university profile