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CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations -
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Ping Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data2026 npj Systems Biology and Applications article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Fu Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
Machine Learning as a Service for DiSSCo’s Digital Specimen Architecture2021 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access
Jonas Grieb, Claus Weiland, Alex Hardisty, Wouter Addink, Sharif Islam, Sohaib Younis, +1 more
7citations -
Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance2025 Journal of Manufacturing Systems article Engineering Scheduling and Optimization Algorithms Open access
Jan-Phillip Herrmann, Sven M. Tackenberg, Tharsika Pakeerathan Srirajan, Verena Nitsch
2citations -
Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing2020 Communications Biology article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access cited by 1 patent
Patrick S. Stumpf, Haruka Imanishi, Yuya Kunisaki, Yuichiro Semba, Timothy J. Noble, Rosanna C. G. Smith, +8 more
38citations -
Task Learnability Modulates Surprise but Not Valence Processing for Reinforcement Learning in Probabilistic Choice Tasks2021 Journal of Cognitive Neuroscience article Neuroscience Neural and Behavioral Psychology Studies Open access
Franz Wurm, Wioleta Walentowska, Benjamin Ernst, Mario Carlo Severo, Gilles Pourtois, Marco Steinhauser
11citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations
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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 -
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy2020 Briefings in Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez‐Lago, +4 more
90citations -
Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies
Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more
2citations