期刊名：Bioengineering

期刊主页：https://www.mdpi.com/journal/bioengineering

近年来，以卷积神经网络、Transformer、图神经网络及MLP-Mixer为代表的先进神经网络架构蓬勃发展，正深刻变革生物医学工程领域的数据分析与疾病诊疗模式。本专题汇集发表于 Bioengineering 的系列研究，系统展示了多架构融合与创新在跨尺度、多模态生物医学问题中的前沿应用：从基于CNN与MLP-Mixer的结核病活动性分类、融合注意力机制的腰椎管狭窄MRI分析，到结合CNN-Transformer的脑电信号精神分裂症复发预测；从整合基础模型与图神经网络的组织学图像分类，到基于DNA语言模型与图神经网络的错义变异致病性预测。研究还拓展至神经科学（癫痫灶定位、脑年龄预测、情感识别）、肿瘤学（胃肠道间质瘤识别、口腔病理分析）、眼科学（视网膜眼底疾病检测）及康复工程（基于sEMG的触觉通信）等多个交叉领域。这些工作不仅展现了CNN、Transformer、图网络等架构在医学影像、生理信号、基因组学等不同数据类型上的强大能力，更凸显了多架构融合、跨模态学习与模型轻量化在推动精准医疗与智能诊疗发展中的关键作用。

1. Active and Inactive Tuberculosis Classification Using Convolutional Neural Networks with MLP-Mixer

基于MLP-Mixer的卷积神经网络的活跃与非活跃结核分类

https://www.mdpi.com/2306-5354/12/6/630

2. A Lightweight Machine Learning Model for High Precision Gastrointestinal Stromal Tumors Identification

用于胃肠道间质肿瘤高精度识别的轻量级机器学习模型

https://www.mdpi.com/2306-5354/12/4/381

3. Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network

基于时频分析和VGG卷积神经网络的耐药癫痫发病区无创定位

https://www.mdpi.com/2306-5354/12/5/443

4. Convolutional Neural Network Incorporating Multiple Attention Mechanisms for MRI Classification of Lumbar Spinal Stenosis

融合多重注意机制的卷积神经网络在腰椎管狭窄MRI分类中的应用

https://www.mdpi.com/2306-5354/11/10/1021

5. Brain Age Prediction Using Multi-Hop Graph Attention Combined with Convolutional Neural Network

基于多跳图注意与卷积神经网络的脑年龄预测

https://www.mdpi.com/2306-5354/11/3/265

6. A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals

基于CNN-Transformer融合模型的脑电信号主动检测精神分裂症复发

https://www.mdpi.com/2306-5354/12/6/641

7. Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks

基于神经网络的口腔黏膜组织病理学图像结构发育不良特征检测

https://www.mdpi.com/2306-5354/12/3/216

8. Detection of Rat Pain-Related Grooming Behaviors Using Multistream Recurrent Convolutional Networks on Day-Long Video Recordings

利用多流循环卷积网络检测大鼠与疼痛相关的梳理行为

https://www.mdpi.com/2306-5354/11/12/1180

9. Integrating Foundation Model Features into Graph Neural Network and Fusing Predictions with Standard Fine-Tuned Models for Histology Image Classification

将基础模型特征集成到图神经网络中，并与标准微调模型融合预测用于组织学图像分类

https://www.mdpi.com/2306-5354/12/12/1332

10. Assessment of Apical Patency in Permanent First Molars Using Deep Learning on CBCT-Derived Pseudopanoramic Images: A Retrospective Study

基于CBCT伪全景图像的深度学习评估第一恒磨牙根尖通畅的回顾性研究

https://www.mdpi.com/2306-5354/12/11/1233

11. EEG-Based Local–Global Dimensional Emotion Recognition Using Electrode Clusters, EEG Deformer, and Temporal Convolutional Network

基于脑电的局部-全局情感维度识别：电极簇、脑电变形器和时间卷积网络

https://www.mdpi.com/2306-5354/12/11/1220

12. Cloud-Based Personalized sEMG Classification Using Lightweight CNNs for Long-Term Haptic Communication in Deaf-Blind Individuals

基于云的个性化表面肌电信号分类：基于轻量级CNNs的聋哑盲人长期触觉交流

https://www.mdpi.com/2306-5354/12/11/1167

13. Disease-Specific Prediction of Missense Variant Pathogenicity with DNA Language Models and Graph Neural Networks

用DNA语言模型和图神经网络预测错义变异致病性的疾病特异性

https://www.mdpi.com/2306-5354/12/10/1098

14. Deep Learning for Comprehensive Analysis of Retinal Fundus Images: Detection of Systemic and Ocular Conditions

视网膜眼底图像综合分析的深度学习：检测系统和眼部状况

https://www.mdpi.com/2306-5354/12/8/840

15. Robust Segmentation of Lung Proton and Hyperpolarized Gas MRI with Vision Transformers and CNNs: A Comparative Analysis of Performance Under Artificial Noise

基于视觉变压器和cnn的肺质子和超极化气体MRI鲁棒分割：人工噪声下性能的比较分析

https://www.mdpi.com/2306-5354/12/8/808

Bioengineering 期刊介绍

主编：Anthony Guiseppi-Elie, Anderson University, USA

主要发表生物医学工程及应用，生物过程和生物系统工程与应用，生物分子、细胞和组织工程及应用，以及生化工程与应用等相关领域的最新科学技术及应用。期刊已被PubMed、Scopus、SCIE (Web of Science) 等数据库收录。

2022 Impact Factor：4.6

2023 CiteScore：4.0

Time to First Decison：17.7 Days

Acceptance to Publication：3.6 Days