Computers in Biology and Medicine

Papers
(The H4-Index of Computers in Biology and Medicine is 90. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board475
Eye movement analysis for real-world settings using segmented linear regression472
Vectorial-based analysis of dual-tracer PET imaging: A proof of concept424
A novel mobile phone and tablet application for automatized calculation of pain extent407
Electroanatomical mapping of the stomach with simultaneous biomagnetic measurements386
Evaluation of the mechanical behaviour of the expandable wedge locked nail fixation in retrograde use: A finite element study378
A self-supervised COVID-19 CT recognition system with multiple regularizations353
Eudesma-4(15), 7-dien-1-β-ol, A promising natural drug candidate for Alzheimer's disease targeting the NMDA pathway: GC-MS identification, molecular docking, pharmacokinetic and molecular dynamic anal344
FCSU-Net: A novel full-scale Cross-dimension Self-attention U-Net with collaborative fusion of multi-scale feature for medical image segmentation303
Adaptive nonlinear filtering algorithms for removal of non-stationary noise in electronystagmographic signals287
Mass diffusion in multi-layer systems: an electrical analogue modelling approach286
Discrete element method-based simulation system for predicting natural stone evacuation pathways in patients with urolithiasis285
Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles284
DrugormerDTI: Drug Graphormer for drug–target interaction prediction276
Pathogenicity classification of missense mutations based on deep generative model257
A novel Harris Hawks Optimization-based clustering method for elucidating genetic associations in osteoarthritis and Diverse Cancer Types242
Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model221
Parameter sensitivity and critical transition anticipation in bistable toxin-antitoxin dynamics221
Simulated annealing aided genetic algorithm for gene selection from microarray data220
Context-aggregator: An approach of loss- and class imbalance-aware aggregation in federated learning218
AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics216
Explainable AI-driven prediction of influenza neuraminidase inhibitors using a stacked ensemble-learning framework209
Discrepancy-based diffusion models for lesion detection in brain MRI204
Prediction of lung cancer metastasis by gene expression199
An improved RIME optimization algorithm for lung cancer image segmentation190
AI-based bi-modal fusion system for automated clinical pain monitoring188
Pharmacophore-guided computational modeling of quinolone-ATPase conjugate inhibitors targeting DNA GyrB subunit of Staphylococcus aureus183
Enhancing targeted tumor treatment: A novel fuzzy logic framework for precision drug delivery strategy selection182
Molecular modelling and experimental validation identified a new therapeutic inhibitor of toxoplasmosis182
Optimizing multimodal models for medical visual question answering: A comparative study of LoRA and AdaLoRA on VQA-RAD and SLAKE-VQA180
Corrigendum to “Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing” [Comput. Biol. Med.178
Editorial Board175
Identification of potential agonist-like molecules for α2-adrenergic receptor by multi-layer virtual screening to combat sinusitis175
Computational prediction of protein folding rate using structural parameters and network centrality measures165
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization165
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data162
Data-driven discovery of sparse dynamical model of cardiovascular system for model predictive control160
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease159
A computational study of venom as drug library: Discovery of multifunctional astacin-like metalloproteases from Androctonus zagrosensis venom gland transcriptome156
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study151
A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis149
Two-stage error detection to improve electron microscopy image mosaicking147
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection145
Artificial vascular image generation using blood vessel texture maps144
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks142
Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study142
Counting on AR: EEG responses to incongruent information with real-world context141
Improved predictive diagnosis of diabetic macular edema based on hybrid models: An observational study140
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network138
Non-same-scale feature attention network based on BPD for medical image segmentation136
Dynamic topography analysis of the cornea and its application to the diagnosis of keratoconus134
Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics132
IVD fibrosis and disc collapse comprehensively aggravate vertebral body disuse osteoporosis and zygapophyseal joint osteoarthritis by posteriorly shifting the load transmission pattern130
Revised NMS-driven pipeline for heart valve regurgitation and Kawasaki disease coronary aneurysm localization130
Reversing skin cancer adversarial examples by multiscale diffusive and denoising aggregation mechanism129
ILSHIP: An interpretable and predictive model for hypothyroidism127
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species125
A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region124
Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid124
Graph neural network-based subgraph analysis for predicting adverse drug events121
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach118
A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data116
Enhancing cell instance segmentation in scanning electron microscopy images via a deep contour closing operator110
The role and potential of computer-aided drug discovery strategies in the discovery of novel antimicrobials108
Longitudinal dementia trajectories for Alzheimer’s Disease characterization and prediction105
Deriving a suitable schedule through robust H∞ and sliding mode control methods for cancer treatment using chemotherapy & anti-angiogenic drugs103
Classical Simulations on Quantum Computers: Interface-Driven Peptide Folding on Simulated Membrane Surfaces103
Contrastive learning based method for X-ray and CT registration under surgical equipment occlusion102
Hybrid offline and self-knowledge distillation for acute ischemic stroke lesion segmentation from non-contrast CT scans102
Structure-based design of promising natural products to inhibit thymidylate kinase from Monkeypox virus and validation using free energy calculations102
Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet101
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model101
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm100
Bayesian parameter inference and uncertainty-informed sensitivity analysis in a 0D cardiovascular model for intraoperative hypotension100
Efficient sleep apnea detection using single-lead ECG: A CNN-Transformer-LSTM approach99
CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading99
Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression98
Fusion-m6A: A lightweight hybrid deep learning framework for RNA m6A site prediction97
Simulated effects of the peripheral musculoskeletal system on hand tremor97
AI unleashed: A meta-analysis transforming radiological insights in diagnosing abdominal infections97
Integrating biocomputational techniques for Breast cancer drug discovery via the HER-2, BCRA, VEGF and ER protein targets97
Red blood cell passage through deformable interendothelial slits in the spleen: Insights into splenic filtration and hemodynamics96
Beyond accuracy: The need for explainable AI in biomedical voice technology95
Fine-grained food image classification and recipe extraction using a customized deep neural network and NLP95
Numerical analysis of coil designs to expedite fracture healing using dielectrophoresis with S method95
JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression95
You get the best of both worlds? Integrating deep learning and traditional machine learning for breast cancer risk prediction94
Modelling of thrombus formation, growth and embolisation in the left atrial appendage under atrial fibrillation93
Hybrid neural–mechanistic modeling of leptospirosis transmission with environmental drivers: Evidence from Thailand93
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues93
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