Biocybernetics and Biomedical Engineering

Papers
(The H4-Index of Biocybernetics and Biomedical Engineering is 34. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Editorial246
EEG based cortical investigation for the limit of stability analysis in transfemoral amputees: A comparison with able-bodied individuals221
COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images88
Machine learning for analysis of gene expression data in fast- and slow-progressing amyotrophic lateral sclerosis murine models80
MDCF_Net: A Multi-dimensional hybrid network for liver and tumor segmentation from CT76
Amplitude and frequency modulation of EEG predicts Intraventricular hemorrhage in preterm infants75
Automatic detection for epileptic seizure using graph-regularized nonnegative matrix factorization and Bayesian linear discriminate analysis74
Impact of noise on the performance of automatic systems for vocal fold lesions detection73
Automated detection of abnormal respiratory sound from electronic stethoscope and mobile phone using MobileNetV267
Compact convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis67
A systematic review of artificial neural network techniques for analysis of foot plantar pressure63
A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction63
Multi-organ squamous cell carcinoma classification using feature interpretation technique for explainability56
Decoding motor imagery based on dipole feature imaging and a hybrid CNN with embedded squeeze-and-excitation block55
Parallel collaboration and closed-loop control of a cursor using multimodal physiological signals53
Innovative design addressing complex airway stenosis: Multidimensional performance assessment of a novel Y-shaped airway stent51
A comparative study of kernel-based vector machines with probabilistic outputs for medical diagnosis50
A novel end-to-end deep learning approach for cancer detection based on microscopic medical images49
Biomechanical behavior of customized splint for the patient with temporomandibular disorders: A three-dimensional finite element analysis47
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network46
CCsNeT: Automated Corpus Callosum segmentation using fully convolutional network based on U-Net45
Effect of timing of umbilical cord clamping and birth on fetal to neonatal transition: OpenModelica-based virtual simulator-based approach44
Predicting muscle fatigue during dynamic contractions using wavelet analysis of surface electromyography signal43
Hollow fiber bioreactor with genetically modified hepatic cells as a model of biologically active function block of the bioartificial liver42
System and approach to detecting of gastric slow wave and environmental noise suppression based on optically pumped magnetometer41
A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model39
Predicting the response to cardiac resynchronization therapy (CRT) using the deep learning approach39
Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study39
Leveraging network using controlled weight learning approach for thyroid cancer lymph node detection39
Classifying median nerves in carpal tunnel syndrome: Ultrasound image analysis38
A novel approach for detection of consciousness level in comatose patients from EEG signals with 1-D convolutional neural network38
Data size considerations and hyperparameter choices in case-based reasoning approach to glucose prediction37
Spatial characterization of functional neural activity during lower limb motion through functional connectivity35
Validation of a body sensor network for cardiorespiratory monitoring during dynamic activities35
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