Sengur相关文献与解析，生知库 | 链接生命科学的每一步

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

基于生成对抗网络的合成数据生成在医疗保健领域的应用：基于图像和信号的研究系统综述

期刊:IEEE Open Journal of Engineering in Medicine and Biology

doi:10.1109/OJEMB.2024.3508472

Akpinar, Muhammed Halil; Sengur, Abdulkadir; Salvi, Massimo; Seoni, Silvia; Faust, Oliver; Mir, Hasan; Molinari, Filippo; Acharya, U Rajendra

信号转导

发表日期：2025

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In situ methane enrichment with vacuum application to produce biogas with higher methane content

利用真空技术进行原位甲烷富集，以生产甲烷含量更高的沼气。

期刊:Environmental Science and Pollution Research

影响因子:

doi:10.1007/s11356-024-33881-y

Sengur, Ozlem; Akgul, Deniz; Calli, Baris

发表日期：2025

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LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals

LSGP-USFNet：利用脑电图信号结合Sophie Germain素数在Ulam螺旋特征上的位置进行自动注意力缺陷多动障碍检测

期刊:Sensors

影响因子:3.5

doi:10.3390/s23167032

Atila, Orhan; Deniz, Erkan; Ari, Ali; Sengur, Abdulkadir; Chakraborty, Subrata; Barua, Prabal Datta; Acharya, U Rajendra

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals

PS-VTS：一种基于访问表策略的粒子群算法，用于利用脑电信号进行自动情绪识别。

期刊:Health Information Science and Systems

影响因子:3.4

doi:10.1007/s13755-023-00224-z

Olmez, Yagmur; Koca, Gonca Ozmen; Sengur, Abdulkadir; Acharya, U Rajendra

An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm

一种基于混沌增强Rao算法的自适应多级阈值方法

期刊:

影响因子:

doi:10.1007/s11042-022-13671-9

Olmez, Yagmur; Sengur, Abdulkadir; Koca, Gonca Ozmen; Rao, Ravipudi Venkata

发表日期：2023

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Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

基于注意力机制和残差连接的3D卷积神经网络用于高效的基于心电图的COVID-19检测

期刊:Computers in Biology and Medicine

影响因子:6.3

doi:10.1016/j.compbiomed.2022.105335

Sobahi, Nebras; Sengur, Abdulkadir; Tan, Ru-San; Acharya, U Rajendra

3D/类器官

发表日期：2022

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Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset

基于ICBrainDB数据集的混合脑电图特征的自动化稳健人类情绪分类系统

期刊:Health Information Science and Systems

影响因子:3.4

doi:10.1007/s13755-022-00201-y

Deniz, Erkan; Sobahi, Nebras; Omar, Naaman; Sengur, Abdulkadir; Acharya, U Rajendra

神经科学

发表日期：2022

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A Simple and Effective Approach Based on a Multi-Level Feature Selection for Automated Parkinson's Disease Detection

一种基于多级特征选择的简单有效的帕金森病自动检测方法

期刊:Journal of Personalized Medicine

影响因子:3

doi:10.3390/jpm12010055

Demir, Fatih; Siddique, Kamran; Alswaitti, Mohammed; Demir, Kursat; Sengur, Abdulkadir

Convolutional neural networks based efficient approach for classification of lung diseases

基于卷积神经网络的肺部疾病分类高效方法

期刊:Health Information Science and Systems

影响因子:3.4

doi:10.1007/s13755-019-0091-3

Demir, Fatih; Sengur, Abdulkadir; Bajaj, Varun

发表日期：2020

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Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs

用于全景X光片中阻生牙精确检测的混合CNN-Transformer模型

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

基于生成对抗网络的合成数据生成在医疗保健领域的应用：基于图像和信号的研究系统综述

In situ methane enrichment with vacuum application to produce biogas with higher methane content

利用真空技术进行原位甲烷富集，以生产甲烷含量更高的沼气。

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals

LSGP-USFNet：利用脑电图信号结合Sophie Germain素数在Ulam螺旋特征上的位置进行自动注意力缺陷多动障碍检测

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals

PS-VTS：一种基于访问表策略的粒子群算法，用于利用脑电信号进行自动情绪识别。

An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm

一种基于混沌增强Rao算法的自适应多级阈值方法

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

基于注意力机制和残差连接的3D卷积神经网络用于高效的基于心电图的COVID-19检测

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset

基于ICBrainDB数据集的混合脑电图特征的自动化稳健人类情绪分类系统

A Simple and Effective Approach Based on a Multi-Level Feature Selection for Automated Parkinson's Disease Detection

一种基于多级特征选择的简单有效的帕金森病自动检测方法

Convolutional neural networks based efficient approach for classification of lung diseases

基于卷积神经网络的肺部疾病分类高效方法