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3D-CNN based discrimination of schizophrenia using resting-state fMRI

Artificial intelligence in medicine, 2019-07, Vol.98, p.10-17

2019

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Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine

Human brain mapping, 2018-09, Vol.39 (9), p.3728-3741

2018

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EEG microstate features for schizophrenia classification

PloS one, 2021-05, Vol.16 (5), p.e0251842-e0251842

2021

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End-to-End Deep Learning Architecture for Separating Maternal and Fetal ECGs Using W-Net

IEEE access, 2022, Vol.10, p.39782-39788

2022

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Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury

Journal of neuroengineering and rehabilitation, 2019-12, Vol.16 (1), p.162-162, Article 162

2019

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HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

Sensors (Basel, Switzerland), 2021-05, Vol.21 (10), p.3483

2021

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Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG

Sensors (Basel, Switzerland), 2016-07, Vol.16 (7), p.1020-1020

2016

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EEG microstate features according to performance on a mental arithmetic task

Scientific reports, 2021-01, Vol.11 (1), p.343-343, Article 343

2021

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Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine

Sensors (Basel, Switzerland), 2017-10, Vol.17 (10), p.2435

2017

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Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network

Frontiers in human neuroscience, 2023-08, Vol.17, p.1186594

2023

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Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning

Sensors (Basel, Switzerland), 2018-01, Vol.18 (1), p.208

2018

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An effective modular approach for crowd counting in an image using convolutional neural networks

Scientific reports, 2022-04, Vol.12 (1), p.5795-5795, Article 5795

2022

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Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study

PloS one, 2016-08, Vol.11 (8), p.e0160697-e0160697

2016

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Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns

PloS one, 2019-02, Vol.14 (2), p.e0212582-e0212582

2019

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Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networks

Scientific reports, 2022-04, Vol.12 (1), p.6818-6818, Article 6818

2022

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CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies

Scientific reports, 2024-10, Vol.14 (1), p.25809-14, Article 25809

2024

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Detection of Abnormal Living Patterns for Elderly Living Alone Using Support Vector Data Description

IEEE journal of biomedical and health informatics, 2011-05, Vol.15 (3), p.438-448

2011

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Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.860

2017

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Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

IEEE access, 2019, Vol.7, p.71072-71078

2019

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Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment with Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation

IEEE access, 2022, Vol.10, p.1-1

2022

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Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

Frontiers in neuroinformatics, 2017-09, Vol.11, p.59-59

2017

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Vowel speech recognition from rat electroencephalography using long short-term memory neural network

PloS one, 2022-06, Vol.17 (6), p.e0270405-e0270405

2022

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DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes

Expert systems with applications, 2023-09, Vol.226, p.120047, Article 120047

2023

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Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model

Scientific reports, 2021-01, Vol.11 (1), p.2308-14, Article 2308

2021

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Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning

Sensors (Basel, Switzerland), 2019-05, Vol.19 (10), p.2370

2019

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3D-CNN based discrimination of schizophrenia using resting-state fMRI

Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine

EEG microstate features for schizophrenia classification

End-to-End Deep Learning Architecture for Separating Maternal and Fetal ECGs Using W-Net

Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury

HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG

EEG microstate features according to performance on a mental arithmetic task

Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine

Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network

Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning

An effective modular approach for crowd counting in an image using convolutional neural networks

Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns

Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networks

CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies

Detection of Abnormal Living Patterns for Elderly Living Alone Using Support Vector Data Description

Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment with Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation

Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

Vowel speech recognition from rat electroencephalography using long short-term memory neural network

DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes

Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model

Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning

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