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Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable2023 Nature Communications article Psychology Child and Adolescent Psychosocial and Emotional Development Open access
Ruth Pauli, Inti Angelo Brazil, Gregor Kohls, Miriam C. Klein-Flügge, Jack C Rogers, Dimitris G. Dikeos, +11 more
19citations -
Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Psychology Child and Adolescent Psychosocial and Emotional Development Open access
Ruth Pauli, Inti Angelo Brazil, Gregor Kohls, Miriam C. Klein-Flügge, Jack C Rogers, Dimitris G. Dikeos, +11 more
6citations -
Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification cited by 1 patent
Jun Zeng, Jinlong Sun, Guan Gui, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki, Haris Gacanin, +1 more
81citations -
Transcriptomics-guided Slide Representation Learning in Computational Pathology2024 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access
Guillaume Jaume, Lukas Oldenburg, Anurag Jayant Vaidya, Richard J. Chen, Drew F. K. Williamson, Andrew H. Song, +1 more
3citations -
MO386: Visualising and Differentiating Kidney Disorders by Urinary Peptidomics Using a Machine Learning Approach2022 Nephrology Dialysis Transplantation conference-abstract Chemistry Advanced Proteomics Techniques and Applications
Justyna Siwy, Emmmanouil Mavrogeorgis, Tianlin He, Harald Mischak, Harald Rupprecht, Joachim Beige
1citations -
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, +4 more
12citations -
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 -
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Murad Megjhani, Daniel C. Nametz, Miriam Weiss, Jude P. J. Savarraj, Soon Bin Kwon, David Jinou Roh, +8 more
2citations -
Exploring Conformational Transitions of Adenine RNA Dimer via Machine Learning Potentials2026 Journal of Chemical Theory and Computation article Biochemistry, Genetics and Molecular Biology RNA and protein synthesis mechanisms Open access
Leonardo Rafael Medrano Sandonas, Macarena Tolmos Nehme, Luis Fernando Cofas‐Vargas, Gustavo E. Olivos-Ramírez, Gianaurelio Cuniberti, Simón Poblete, +1 more
0citations -
Exploring Conformational Transitions of RNA Dimers via Machine Learning Potentials2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology RNA and protein synthesis mechanisms Open access
Leonardo Rafael Medrano Sandonas, Macarena Tolmos Nehme, Luis Fernando Cofas‐Vargas, Gustavo E. Olivos-Ramírez, Gianaurelio Cuniberti, Simón Poblete, +1 more
0citations