| Filippo Corponi*, Bryan M. Li*, Gerard Anmella, Ariadna Mas, Miriam Sanabra, Eduard Vieta,
INTREPIBD Group, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari. Automated mood disorder symptoms
monitoring from multivariate time-series sensory data:
Getting
the full picture beyond a single number. Nature Translational Psychiatry. 2024.
|
| Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta, Stehpen
Lawrie, Heather Whalley, Diego Hidalgo-Mazzei, and Antonio Vergari. Does heart rate variability change over acute episodes
of bipolar disorder? A Bayesian analysis. 2024.
|
| Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Ariadna Mas, Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta, Allan H Young,
Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari. Wearable data from subjects playing Super Mario, sitting
university exams, or performing physical exercise help detect acute mood episodes via self-supervised
learning. 2023.
|
| Gerard Anmella, Ariadna Mas, Miriam Sanabra, Clàudia Valenzuela-Pascual, Marc Valentí,
Isabella Pacchiarotti, Antoni Benabarre, Iria Grande, Michele De Prisco, Vincenzo Oliva,
Giovanna Fico, Anna Giménez-Palomo, Anna Bastidas, Isabel Agasi, Allan H. Young, Marina
Garriga, Filippo Corponi, Bryan M. Li, Peter de Looff, Eduard Vieta, Diego
Hidalgo-Mazzei. Electrodermal activity in
bipolar disorder: Differences between mood episodes and
clinical remission using a wearable device in a real-world clinical setting. Journal of
Affective Disorders. 2023.
|
| Gerard Anmella*, Filippo Corponi*, Bryan M. Li*, Ariadna Mas, Miriam Sanabra, Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Marina
Garriga, Isabel Agasi, Anna Bastidas, Myriam Cavero, Tabatha Fernández-Plaza,
Néstor Arbelo, Miquel Bioque, Clemente García-Rizo, Norma Verdolini,
Santiago Madero, Andrea Murru, Silvia Amoretti, Anabel
Martínez-Aran, Victoria Ruiz, Giovanna Fico, Michele De Prisco, Vincenzo
Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H.
Young, Eduard Vieta, Antonio Vergari, Diego Hidalgo-Mazzei. Exploring digital biomarkers of
illness activity in mood episodes: hypotheses generating and model development study. Journal
of
Medical Internet Research (JMIR) mHealth and uHealth. 2023.
|
| Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort, Arno Onken. V1T: large-scale mouse V1 response
prediction
using a Vision
Transformer. Transactions on Machine Learning Research (TMLR). 2023. |
| Bryan M. Li*, Filippo Corponi*, Gerard Anmella, Ariadna Mas, Miriam Sanabra, Diego
Hidalgo-Mazzei, Antonio Vergari. Inferring mood
disorder
symptoms from multivariate time-series sensory
data. NeurIPS Workshop on Learning from Time Series for Health. 2022. |
| Bryan M. Li, Leonardo V. Castorina, Maria del C. Valdés-Hernández, Una Clancy,
Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng, Fergus Doubal,
Michael T. Thrippleton, Michael Stringer, Joanna M. Wardlaw. Deep
Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clinical Protocols.
Frontiers in Computational Neuroscience. 2022.
|
| Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken. Neuronal Learning Analysis using
Cycle-Consistent Adversarial Networks. 2021. |
| Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken. CalciumGAN: A Generative Adversarial Network
Model for Synthesising Realistic Calcium Imaging Data of neuronal populations. 2020. |
| Bryan M. Li, Alexander Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Rao Kamalakara,
Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez. RL: A generic reinforcement
learning codebase in TensorFlow. Journal of Open Source Software (JOSS). 2019. |
| Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser. CipherGAN: Unsupervised Cipher
Cracking Using Neural Networks. International Conference on Learning Representations
(ICLR). 2018.
|