TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Del Pup, Federico, Brun, Riccardo, Iotti, Filippo, Paccagnella, Edoardo, Pezzato, Mattia, Bertozzo, Sabrina, Zanola, Andrea, Tshimanga, Louis Fabrice, Müller, Henning, Atzori, Manfredo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
xEEGNet: Towards Explainable AI in EEG Dementia Classification
by: Zanola, Andrea, et al.
Published: (2025)
by: Zanola, Andrea, et al.
Published: (2025)
The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
by: Del Pup, Federico, et al.
Published: (2024)
by: Del Pup, Federico, et al.
Published: (2024)
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
by: Del Pup, Federico, et al.
Published: (2023)
by: Del Pup, Federico, et al.
Published: (2023)
Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation
by: Tshimanga, Louis Fabrice, et al.
Published: (2026)
by: Tshimanga, Louis Fabrice, et al.
Published: (2026)
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
by: Del Pup, Federico, et al.
Published: (2025)
by: Del Pup, Federico, et al.
Published: (2025)
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge
by: Wodzinski, Marek, et al.
Published: (2024)
by: Wodzinski, Marek, et al.
Published: (2024)
DeeperHistReg: Robust Whole Slide Images Registration Framework
by: Wodzinski, Marek, et al.
Published: (2024)
by: Wodzinski, Marek, et al.
Published: (2024)
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge
by: Wodzinski, Marek, et al.
Published: (2022)
by: Wodzinski, Marek, et al.
Published: (2022)
Retrospective Matching Network‐Based One‐Shot Multi‐Object Tracking Method for UAV
by: Hui Zhao, et al.
Published: (2025)
by: Hui Zhao, et al.
Published: (2025)
GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
by: Rezzouk, Mathis, et al.
Published: (2025)
by: Rezzouk, Mathis, et al.
Published: (2025)
EEG Compression of Scalp Recordings based on Dipole Fitting
by: Daou, Hoda, et al.
Published: (2014)
by: Daou, Hoda, et al.
Published: (2014)
Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)
by: Rasmussen, Nicholas R., et al.
Published: (2026)
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
by: Jurgas, Artur, et al.
Published: (2024)
by: Jurgas, Artur, et al.
Published: (2024)
Investigation of CoB/SBA‐15 Catalyst for Efficient Hydrogen Generation via Sodium Borohydride Hydrolysis
by: Hao Yu, et al.
Published: (2025)
by: Hao Yu, et al.
Published: (2025)
Uso rotineiro do brinquedo terapêutico na assistência a crianças hospitalizadas: percepção de enfermeiros
by: Ana Gabriela Bertozzo Francischinelli
Published: (2012)
by: Ana Gabriela Bertozzo Francischinelli
Published: (2012)
Medically Relevant Criteria used in EEG Compression for Improved Post-Compression Seizure Detection
by: Daou, Hoda, et al.
Published: (2014)
by: Daou, Hoda, et al.
Published: (2014)
Uniform Boundedness of Homogeneous Incompressible Flows in $\mathbb{R}^3$
by: Iotti, Ulisse
Published: (2025)
by: Iotti, Ulisse
Published: (2025)
Adapting Neural Audio Codecs to EEG
by: Kastrati, Ard, et al.
Published: (2025)
by: Kastrati, Ard, et al.
Published: (2025)
Let EEG Models Learn EEG
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
Detecting Blinks in Healthy and Parkinson's EEG: A Deep Learning Perspective
by: Lensky, Artem, et al.
Published: (2025)
by: Lensky, Artem, et al.
Published: (2025)
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)
by: Liu, Xuan-Hao, et al.
Published: (2025)
Wireless Ear EEG to Monitor Drowsiness
by: Kaveh, Ryan, et al.
Published: (2024)
by: Kaveh, Ryan, et al.
Published: (2024)
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
by: Seraphim, Mathieu, et al.
Published: (2024)
by: Seraphim, Mathieu, et al.
Published: (2024)
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)
by: Fu, Xi, et al.
Published: (2025)
KnowEEG: Explainable Knowledge Driven EEG Classification
by: Sahota, Amarpal, et al.
Published: (2025)
by: Sahota, Amarpal, et al.
Published: (2025)
The EEG Talk experience: Lessons in e‐teaching EEG
by: Fábio A. Nascimento, et al.
Published: (2025)
by: Fábio A. Nascimento, et al.
Published: (2025)
Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)
by: Zhang, Qingzhu, et al.
Published: (2025)
A short blanket for cosmology: the CMB lensing anomaly behind the preference for a negative neutrino mass
by: Cozzumbo, Andrea, et al.
Published: (2025)
by: Cozzumbo, Andrea, et al.
Published: (2025)
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning
by: Marini, Niccolò, et al.
Published: (2024)
by: Marini, Niccolò, et al.
Published: (2024)
The Local Subtraction Approach For EEG and MEG Forward Modeling
by: Höltershinken, Malte B., et al.
Published: (2023)
by: Höltershinken, Malte B., et al.
Published: (2023)
Beyond the Signal: Medication State Effect on EEG-Based AI models for Parkinson's Disease
by: Kurbatskaya, Anna, et al.
Published: (2025)
by: Kurbatskaya, Anna, et al.
Published: (2025)
Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification
by: Sahota, Amarpal, et al.
Published: (2024)
by: Sahota, Amarpal, et al.
Published: (2024)
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer
by: Liu, Hanwen, et al.
Published: (2024)
by: Liu, Hanwen, et al.
Published: (2024)
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
Trabalho doméstico: intercruzamentos de opressões
by: Fernanda de Aguiar Zanola
Published: (2023)
by: Fernanda de Aguiar Zanola
Published: (2023)
Escrevivência: O Cansativo Processo de Ser uma Outsider Interna na Pós-Graduação em Administração
by: Fernanda de Aguiar Zanola
Published: (2023)
by: Fernanda de Aguiar Zanola
Published: (2023)
O STJ e a união homoafetiva: da “sociedade de fato” à família conjugal
by: Paulo Roberto Iotti Vecchiatti
Published: (2020)
by: Paulo Roberto Iotti Vecchiatti
Published: (2020)
A Constituição de 1988 e a evolução dos direitos da população LGBTI+
by: Paulo Roberto Iotti Vecchiatti
Published: (2019)
by: Paulo Roberto Iotti Vecchiatti
Published: (2019)
MOVIMENTOS SOCIOAMBIENTAIS E GESTÃO DOS RECURSOS NATURAIS NO CENÁRIO AMAZÔNICO: AÇÕES DA CONFEDERAÇÃO DOS POVOS INDÍGENAS DA BOLÍVIA
by: Luciana Aparecida Iotti Ziglio
Published: (2013)
by: Luciana Aparecida Iotti Ziglio
Published: (2013)
Similar Items
-
xEEGNet: Towards Explainable AI in EEG Dementia Classification
by: Zanola, Andrea, et al.
Published: (2025) -
The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
by: Del Pup, Federico, et al.
Published: (2024) -
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
by: Del Pup, Federico, et al.
Published: (2023) -
Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation
by: Tshimanga, Louis Fabrice, et al.
Published: (2026) -
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
by: Del Pup, Federico, et al.
Published: (2025)