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CaloChallenge 2022: a community challenge for fast calorimeter simulation2025 Reports on Progress in Physics article Materials Science Machine Learning in Materials Science Open access
Claudius Krause, M. Faucci Giannelli, Gregor Kasieczka, Benjamin Philip Nachman, Dalila Salamani, David Shih, +60 more
11citations -
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 -
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2025 NAR Genomics and Bioinformatics article Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
2citations -
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction2021 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Biomedical Text Mining and Ontologies Open access
Marc-André Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok
1citations -
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs2023 arXiv (Cornell University) preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access
Firas Khader, Gustav Anton Müller‐Franzes, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn
0citations -
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
0citations