7 citations · 8 across the 6 of their papers we have counts for
6 papers
Integrating gene regulatory priors into Transformer attention with scTransformer for interpretable scRNA-seq analysis
Mikele Milia, Louis Fabrice Tshimanga, Henning Mueller +2
Motivation: Transformer-based models are increasingly applied to large-scale single-cell transcriptomics, showing strong performance through self-supervised learning on millions of…
Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation
Louis Fabrice Tshimanga, Andrea Zanola, Federico Del Pup +1
We present Token-UNet, adopting the TokenLearner and TokenFuser modules to encase Transformers into UNets. While Transformers have enabled global interactions among input elements…
TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
Federico Del Pup, Riccardo Brun, Filippo Iotti +7
Electroencephalography (EEG) is establishing itself as an important, low-cost, noninvasive diagnostic tool for the early detection of Parkinson's Disease (PD). In this context, EEG…
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga +3
Deep learning is significantly advancing the analysis of electroencephalography (EEG) data by effectively discovering highly nonlinear patterns within the signals. Data partitionin…
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga +2
SelfEEG is an open-source Python library developed to assist researchers in conducting Self-Supervised Learning (SSL) experiments on electroencephalography (EEG) data. Its primary…
An overview of open source Deep Learning-based libraries for Neuroscience
Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup +1
In recent years, deep learning revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each…