Michael Biehl

University of Groningen — Netherlands

Computer Science · Physical Sciences

47h-index10.6kcitations434works3.12yr avg
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Research Topics

Neural Networks and Applications(133), Face and Expression Recognition(47), Hormonal Regulation and Hypertension(28), Theoretical and Computational Physics(25), Blind Source Separation Techniques(24)

Publications432 total

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion
EBioMedicine·2026· 1 citedOpen Access
Iterated relevance matrix analysis for improved classification and robustness in prototype-based learning schemes
Neurocomputing·2025Open Access
NAVIGATING THE STORM: SEVERE CYTOKINE RELEASE SYNDROME IN A PATIENT WITH REFRACTORY AL AMYLOIDOSIS TREATED WITH ELRANATAMAB
CHEST Journal·2025
Aligning generalization between humans and machines
Nature Machine Intelligence·2025· 6 cited
Hermite polynomials facilitating on-line learning analysis of layered neural networks with arbitrary activation function
Neurocomputing·2025Open Access
FP13 The urine steroid metabolome combined with machine learning performs similarly to established non-invasive markers to identify advanced MASLD fibrosis
2025
Explainable machine learning for movement disorders - Classification of tremor and myoclonus
Computers in Biology and Medicine·2025· 6 citedOpen Access
WED-419 The urine steroid metabolome combined with machine learning performs similarly to established non-invasive markers to risk stratify for the presence of advanced MASLD fibrosis
Journal of Hepatology·2025
IRMA: Machine learning-based harmonization of $$^{18}$$F-FDG PET brain scans in multi-center studies
European Journal of Nuclear Medicine and Molecular Imaging·2025· 5 citedOpen Access
Interpretable modelling and visualization of biomedical data
Neurocomputing·2025· 1 cited
IRMA: Machine learning-based harmonization of 18F-FDG PET brain scans in multi-center studies
2025Open Access
Phase transition analysis for shallow neural networks with arbitrary activation functions
Physica A Statistical Mechanics and its Applications·2025· 3 citedOpen Access
The Role of the Learning Rate in Layered Neural Networks with ReLU Activation Function
2025Open Access
Iterated Relevance Matrix Analysis for improved robustness in prototype-based learning schemes
SSRN Electronic Journal·2025Open Access
Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ
2025Open Access
Interpretable machine learning for the diagnosis of hyperkinetic movement disorders
2025Open Access
Aligning Generalisation Between Humans and Machines
arXiv (Cornell University)·2024· 1 citedOpen Access
Urine steroid metabolomics to diagnose endocrine hypertension: results from the ENS@T-HT project
Endocrine Abstracts·2024
Forecasting relative returns for S&P 500 stocks using machine learning
Financial Innovation·2024· 31 citedOpen Access
Investigating the aspect of asymmetry in brain-first versus body-first Parkinson’s disease
npj Parkinson s Disease·2024· 17 citedOpen Access
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Frequent Co-authors

Barbara Hammer(11), Kerstin Bunte(10), Thomas Villmann(8), Petra Schneider(7), Zalmen Blanck(5), Wiebke Arlt(4), Martin Faßnacht(4), Anna Riester(4), Marcus Quinkler(4), Felix Beuschlein(4), Mohammad R. Jazayeri(4), Anwer Dhala(4), Peter Riegler(4), Axel Wismüller(4), Angela E. Taylor(3), Stefanie Hahner(3), Rossella Libé(3), Jérôme Bertherat(3), Massimo Terzolo(3), Cedric Shackleton(3)