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Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?2022 Lecture notes in computer science conference-paper Neuroscience Autism Spectrum Disorder Research Open access
Christian Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl
7citations -
Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review2025 European journal of medical research review Medicine Artificial Intelligence in Healthcare and Education Open access
Martina Feierabend, Julius Michael Wolfgart, Maximilian Praster, Marina Danalache, Filippo Migliorini, Ulf Krister Hofmann
7citations -
scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments2026 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Ritabrata Sanyal, Yang Xu, Hyojin Kim, Rafael Kramann, Sikander Hayat
0citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations
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Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies2022 medRxiv preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, +1 more
3citations -
Detection of abnormal SOH estimates in battery field data using statistical learning2025 Cell Reports Physical Science article Engineering Advanced Battery Technologies Research Open access
Valentin Steininger, Katharina Lilith Quade, Katharina Rumpf, Stephan Bihn, Jürgen Ringler, Dirk Uwe Sauer, +1 more
3citations