Computers in Biology and Medicine

Papers
(The H4-Index of Computers in Biology and Medicine is 92. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Diffuse tumors: Molecular determinants shared by different cancer types399
Editorial Board352
Beyond accuracy: The need for explainable AI in biomedical voice technology337
Discrepancy-based diffusion models for lesion detection in brain MRI304
Identifying indications for novel drugs using electronic health records301
Carotid single- and dual-layer stents reduce the wall adhesion of platelets by influencing flow and cellular transport293
Pathogenicity classification of missense mutations based on deep generative model291
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks287
Contrastive learning based method for X-ray and CT registration under surgical equipment occlusion278
Eye movement analysis for real-world settings using segmented linear regression277
Advances in disease detection through retinal imaging: A systematic review269
Longitudinal dementia trajectories for Alzheimer’s Disease characterization and prediction265
Pharmacophore-guided computational modeling of quinolone-ATPase conjugate inhibitors targeting DNA GyrB subunit of Staphylococcus aureus235
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues233
Class-Specific Distribution Alignment for semi-supervised medical image classification231
KNU-DTI: KNowledge United Drug-Target Interaction prediction226
Fine-grained food image classification and recipe extraction using a customized deep neural network and NLP217
Numerical analysis of coil designs to expedite fracture healing using dielectrophoresis with S method214
Mass diffusion in multi-layer systems: an electrical analogue modelling approach190
The role of the extracellular matrix in the reduction of lateral force transmission in muscle bundles: A finite element analysis189
Discrete element method-based simulation system for predicting natural stone evacuation pathways in patients with urolithiasis185
Data-driven discovery of sparse dynamical model of cardiovascular system for model predictive control179
Counting on AR: EEG responses to incongruent information with real-world context174
Development of closed-loop modelling framework for adaptive respiratory pacemakers172
Predicting lung cancer survival based on clinical data using machine learning: A review172
A deep learning model combining convolutional neural networks and a selective kernel mechanism for SSVEP-Based BCIs168
Integrating biocomputational techniques for Breast cancer drug discovery via the HER-2, BCRA, VEGF and ER protein targets159
A Three-branch Jointed Feature and Topology Decoder guided by game-theoretic interactions for temporomandibular joint segmentation159
Multi-label classification of fundus images with graph convolutional network and LightGBM156
Adaptive nonlinear filtering algorithms for removal of non-stationary noise in electronystagmographic signals155
A mask R-CNN based automatic assessment system for nail psoriasis severity151
Development and validation of a neutrophil extracellular traps-related gene signature for lower-grade gliomas151
Enhancing and advancements in deep learning for melanoma detection: A comprehensive review149
Structure, sensing and control of pneumatic upper limb rehabilitation system: Review and prospect146
Efficient sleep apnea detection using single-lead ECG: A CNN-Transformer-LSTM approach145
Causal relationship between slow waves of arterial, intracranial pressures and blood velocity in brain143
Single-channel EEG based insomnia detection with domain adaptation142
Artificial intelligence techniques for prediction of drug synergy in malignant diseases: Past, present, and future141
Visual prior-based cross-modal alignment network for radiology report generation140
Emotion recognition in EEG signals using deep learning methods: A review140
A systematic review on the state-of-the-art strategies for protein representation137
Insights from explainable AI in oesophageal cancer team decisions135
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia133
MCA-net: A multi-task channel attention network for Myocardial infarction detection and location using 12-lead ECGs132
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data130
A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data127
Mapping synthetic binding proteins epitopes on diverse protein targets by protein structure prediction and protein-protein docking127
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation127
Non-same-scale feature attention network based on BPD for medical image segmentation124
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer123
Effect of tumor heterogeneity on enhancing drug delivery to vascularized tumors using thermo-sensitive liposomes triggered by hyperthermia: A multi-scale and multi-physics computational model123
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation123
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data122
Modelling of thrombus formation, growth and embolisation in the left atrial appendage under atrial fibrillation122
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization121
D-glucose-conjugated thioureas containing 2-aminopyrimidine as potential multitarget inhibitors for type 2 diabetes mellitus: Synthesis and biological activity study121
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals121
IVD fibrosis and disc collapse comprehensively aggravate vertebral body disuse osteoporosis and zygapophyseal joint osteoarthritis by posteriorly shifting the load transmission pattern121
How CLSPN could demystify its prognostic value and potential molecular mechanism for hepatocellular carcinoma: A crosstalk study120
Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles119
ILSHIP: An interpretable and predictive model for hypothyroidism119
Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid118
Automatic eczema classification in clinical images based on hybrid deep neural network118
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework116
Identifying potent natural inhibitors of the hepatitis C virus NS3 protein using multiple computational and molecular approaches115
Exploring the spike glycoprotein-encoding gene of SARS-CoV-2 using multifractal analysis: Unveiling structural complexity and implications for viral transmission114
Automated mitral valve segmentation in PLAX-view transthoracic echocardiography for anatomical assessment and risk stratification114
Automated mitral inflow Doppler peak velocity measurement using deep learning113
Optimization of deep learning models for inference in low resource environments112
KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging112
M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization109
KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification109
Hybrid offline and self-knowledge distillation for acute ischemic stroke lesion segmentation from non-contrast CT scans108
A general sample-weighted framework for epileptic seizure prediction108
FCSU-Net: A novel full-scale Cross-dimension Self-attention U-Net with collaborative fusion of multi-scale feature for medical image segmentation107
S2FLNet: Hepatic steatosis detection network with body shape106
Uniqueness of inspiratory airflow patterns in a realistic rat nasal cavity106
Context-aggregator: An approach of loss- and class imbalance-aware aggregation in federated learning103
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU103
Vectorial-based analysis of dual-tracer PET imaging: A proof of concept101
A self-supervised COVID-19 CT recognition system with multiple regularizations101
Computational prediction of protein folding rate using structural parameters and network centrality measures101
AGNet: Automatic generation network for skin imaging reports100
Dynamic topography analysis of the cornea and its application to the diagnosis of keratoconus99
A novel mobile phone and tablet application for automatized calculation of pain extent99
Identification of JUN as determinant of osteoarthritis and its inhibition by the Chinese herbal formulae Zhuanggu Huoxue Tang98
A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis98
Editorial Board97
CARES: A Corpus for classification of Spanish Radiological reports96
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease96
Identification of anti-cancer organometallic compounds by inhibition of BCL-2/Bax interactions96
Functional identification and prediction of lncRNAs in esophageal cancer95
Electroanatomical mapping of the stomach with simultaneous biomagnetic measurements92
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