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Bryan M. Li
Bryan M. Li
School of Informatics, University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Unsupervised cipher cracking using discrete gans
AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser
International Conference on Learning Representations (ICLR'2018), 2018
692018
Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN
BM Li, T Amvrosiadis, N Rochefort, A Onken
arXiv preprint arXiv:2009.02707, 2020
7*2020
Can machine learning with data from wearable devices distinguish disease severity levels and generalise across patients? A pilot study in Mania and Depression
BM Li, F Corponi, G Anmella, A Mas, M Sanabra, I Pacchiarotti, M Valentí, ...
medRxiv, 2022.05. 19.22274670, 2022
22022
Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021
LV Castorina, BM Li, A Storkey, MV Hernández
University of Edinburgh. Centre for Clinical Brain Sciences and School of …, 2021
22021
Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study.
G Anmella, F Corponi, BM Li, A Mas, M Sanabra, I Pacchiarotti, M Valentí, ...
JMIR mHealth and uHealth, 2023
12023
Inferring mood disorder symptoms from multivariate time-series sensory data
BM Li, F Corponi, G Anmella, A Mas, M Sanabra, D Hidalgo-Mazzei, ...
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022
1*2022
Neuronal learning analysis using cycle-consistent adversarial networks
BM Li, T Amvrosiadis, N Rochefort, A Onken
arXiv preprint arXiv:2111.13073, 2021
12021
Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number
F Corponi, BM Li, G Anmella, A Mas, M Sanabra, E Vieta, I Group, ...
medRxiv, 2023.03. 25.23287744, 2023
2023
V1T: large-scale mouse V1 response prediction using a Vision Transformer
BM Li, IM Cornacchia, NL Rochefort, A Onken
arXiv preprint arXiv:2302.03023, 2023
2023
The TIMEBASE Study: IdenTifying dIgital bioMarkers of illnEss activity in BipolAr diSordEr. Preliminary results
G Anmella, A Mas, I Pacchiarotti, T Fernández, A Bastidas, I Agasi, ...
European Psychiatry 65 (S1), S221-S221, 2022
2022
Timebase: identifying digital biomarkers of illness activity and treatment response in bipolar disorder: an exploratory study.
G Anmella, F Corponi, B Li, AM Musons, M Sanabra, P Isabella, V Marc, ...
Neuroscience Applied 1, 100176, 2022
2022
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols
BM Li, LV Castorina, MC Valdés Hernández, U Clancy, SJ Wiseman, ...
Frontiers in Computational Neuroscience, 97, 2022
2022
RL: Generic reinforcement learning codebase in TensorFlow
BM Li, A Cowen-Rivers, P Kozakowski, D Tao, SR Kamalakara, ...
Journal of Open Source Software 4 (42), 1524, 2019
2019
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Articles 1–13