research
∙
08/30/2023
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
Emotion recognition using electroencephalogram (EEG) mainly has two scen...
share
research
∙
08/14/2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interf...
research
∙
05/15/2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Protein-protein interactions (PPIs) are crucial in various biological pr...
research
∙
05/11/2023
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Domain shift and label scarcity heavily limit deep learning applications...
research
∙
03/28/2023
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Domain shift has been a long-standing issue for medical image segmentati...
research
∙
03/18/2023
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5
We used two multimodal models for continuous valence-arousal recognition...
research
∙
12/05/2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
While deep learning methods hitherto have achieved considerable success ...
research
∙
10/09/2022
A Transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly...
research
∙
08/13/2022
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Learning time-series representations when only unlabeled data or few lab...
research
∙
07/25/2022
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
While there have been increased researches using deep learning technique...
research
∙
07/05/2022
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
While deep models have shown promising performance in medical image segm...
research
∙
07/05/2022
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
With large-scale well-labeled datasets, deep learning has shown signific...
research
∙
05/14/2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Label scarcity has been a long-standing issue for biomedical image segme...
research
∙
03/24/2022
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3
We propose a cross-modal co-attention model for continuous emotion recog...
research
∙
03/23/2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
The success of deep convolutional neural networks (DCNNs) benefits from ...
research
∙
02/05/2022
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
Deep learning (DL) has been widely investigated in a vast majority of ap...
research
∙
01/15/2022
Deep Optimal Transport on SPD Manifolds for Domain Adaptation
The domain adaption (DA) problem on symmetric positive definite (SPD) ma...
research
∙
07/09/2021
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Sleep staging is of great importance in the diagnosis and treatment of s...
research
∙
07/02/2021
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
We propose an audio-visual spatial-temporal deep neural network with: (1...
research
∙
06/26/2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
Learning decent representations from unlabeled time-series data with tem...
research
∙
05/21/2021
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Deep learning has achieved promising segmentation performance on 3D left...
research
∙
05/05/2021
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
In this paper, we propose LGG, a neurologically inspired graph neural ne...
research
∙
04/07/2021
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
In this paper, we propose TSception, a multi-scale convolutional neural ...
research
∙
03/17/2021
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
Lack of adequate training samples and noisy high-dimensional features ar...
research
∙
03/05/2021
A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features
Dementia is one of the main causes of cognitive decline. Since the major...
research
∙
01/22/2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Image segmentation is one of the most essential biomedical image process...
research
∙
09/07/2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks
One way to achieve eXplainable artificial intelligence (XAI) is through ...
research
∙
04/26/2020
Federated Transfer Learning for EEG Signal Classification
The success of deep learning (DL) methods in the Brain-Computer Interfac...
research
∙
04/02/2020
TSception: A Deep Learning Framework for Emotion Detection Using EEG
In this paper, we propose a deep learning framework, TSception, for emot...
research
∙
03/14/2020
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Convolutional Neural Network (CNN) has been successfully applied on clas...
research
∙
02/04/2020
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)
Steady-state visual evoked potentials (SSVEP) brain-computer interface (...
research
∙
11/19/2019
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
When artificial intelligence is used in the medical sector, interpretabi...
research
∙
10/10/2019
Machine learning driven synthesis of few-layered WTe2
Reducing the lateral scale of two-dimensional (2D) materials to one-dime...
research
∙
07/17/2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Recently, artificial intelligence, especially machine learning has demon...
research
∙
05/10/2019
