Romy Lorenz
Affiliations: | Imperial College London, London, England, United Kingdom |
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"Romy Lorenz"Mean distance: 15.48 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Aldo A. Faisal | grad student | Imperial College London | |
| Robert Leech | grad student | Imperial College London |
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Publications
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| Soleimani G, Nitsche MA, Bergmann TO, et al. (2023) Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments. Translational Psychiatry. 13: 279 |
| Lorenz R, Johal M, Dick F, et al. (2021) A Bayesian optimisation approach for rapidly mapping residual network function in stroke. Brain : a Journal of Neurology |
| Monti RP, Gibberd A, Roy S, et al. (2020) Interpretable brain age prediction using linear latent variable models of functional connectivity. Plos One. 15: e0232296 |
| Lorenz R, Simmons LE, Monti RP, et al. (2019) Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimulation |
| Cole JH, Lorenz R, Geranmayeh F, et al. (2018) Active Acquisition for multimodal neuroimaging. Wellcome Open Research. 3: 145 |
| Lorenz R, Violante IR, Monti RP, et al. (2018) Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization. Nature Communications. 9: 1227 |
| Lancaster J, Lorenz R, Leech R, et al. (2018) Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction. Frontiers in Aging Neuroscience. 10: 28 |
| Cole JH, Lorenz R, Geranmayeh F, et al. (2018) Active Acquisition for multimodal neuroimaging Wellcome Open Research. 3: 145 |
| Monti RP, Lorenz R, Hellyer P, et al. (2017) Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers in Computational Neuroscience. 11: 14 |
| Violante IR, Li LM, Carmichael DW, et al. (2017) Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance. Elife. 6 |