On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations D Calhas, E Merino, R Henriques Artificial Intelligence in Medicine, 101852, 2020 | 33 | 2020 |
Full Paper: EEG To FMRI Synthesis: Is Deep Learning a Candidate? D Calhas, R Henriques International Conference on Information Systems Development, 2023 | 9* | 2023 |
Eeg to fmri synthesis benefits from attentional graphs of electrode relationships D Calhas, R Henriques arXiv preprint arXiv:2203.03481, 2022 | 4 | 2022 |
Automatic generation of neural architecture search spaces D Calhas, VM Manquinho, I Lynce Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2022 | 4 | 2022 |
fMRI multiple missing values imputation regularized by a recurrent denoiser D Calhas, R Henriques Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 3 | 2021 |
Eeg to fmri synthesis for medical decision support: A case study on schizophrenia diagnosis D Calhas, R Henriques medRxiv, 2023.08. 07.23293748, 2023 | 2 | 2023 |
A Lightning Network Analysis J Valente, D Calhas | 1 | 2018 |
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings D Calhas, J Marques, AL Oliveira arXiv preprint arXiv:2412.15734, 2024 | | 2024 |
EEG-to-fMRI Neuroimaging Cross Modal Synthesis in Python D Calhas | | 2023 |
Fitting Regularized Population Dynamics with Neural Differential Equations D Calhas, R Henriques The Symbiosis of Deep Learning and Differential Equations, 0 | | |