Computer Methods and Programs in Biomedicine

Papers
(The H4-Index of Computer Methods and Programs in Biomedicine is 53. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Multi-Modality guidance based surgical navigation for percutaneous endoscopic transforaminal discectomy385
A real-time computer-aided diagnosis method for hydatidiform mole recognition using deep neural network373
Using machine learning models for predicting monthly iPTH levels in hemodialysis patients348
SIMUS3: An open-source simulator for 3-D ultrasound imaging211
The impact of small movements with dual lumen cannulae during venovenous extracorporeal membrane oxygenation: A computational fluid dynamics analysis160
Differential evolution method to find optimal location of a single-element transducer for transcranial focused ultrasound therapy151
An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino149
4-dimensional local radial basis function interpolation of large, uniformly spaced datasets148
Real-time soft body dissection simulation with parallelized graph-based shape matching on GPU139
Multimodal radiomics based on lesion connectome predicts stroke prognosis125
Evaluation of cerebrovascular hemodynamics in vascular dementia patients with a new individual computational fluid dynamics algorithm120
Importance of the enhanced cooling system for more spherical ablation zones: Numerical simulation, ex vivo and in vivo validation116
CTGAN-driven synthetic data generation: A multidisciplinary, expert-guided approach (TIMA)112
Lung nodule classification using radiomics model trained on degraded SDCT images110
Unsupervised domain adaptation for nuclei segmentation: Adapting from hematoxylin & eosin stained slides to immunohistochemistry stained slides using a curriculum approach110
Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?107
Identifying the patient harms to include in an in silico clinical trial104
Influence of genetic mutations to atria vulnerability to atrial fibrillation: An in-silico 3D human atria study103
VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants102
Influence of therapeutic grip exercises induced loading rates in distal radius fracture healing with volar locking plate fixation100
CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis94
Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method92
Accurate consistency-based MSA reducing the memory footprint88
Editorial Board86
Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction86
Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals85
Finite element analysis of conductive hearing loss caused by fixation and detachment of ligament and tendon in the middle ear74
Comparison of two methods for converting central venous values of acid-base status to arterial values in critically ill patients74
A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography73
Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 1871
Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network71
MHSU-Net: A more versatile neural network for medical image segmentation70
Prediction of the mode of delivery using artificial intelligence algorithms69
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks69
IODeep: An IOD for the introduction of deep learning in the DICOM standard68
SC-Net: Symmetrical conical network for colorectal pathology image segmentation68
Modelling of Cardiac Biventricular Electromechanics with Coronary Blood Flow to Investigate the Influence of Coronary Arterial Motion on Coronary Haemodynamic67
Artery vein classification in fundus images using serially connected U-Nets67
Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases61
Computer modeling of radiofrequency cardiac ablation: 30 years of bioengineering research61
Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography60
Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction58
An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis58
A cloud-based consultation and collaboration system for radiotherapy: Remote decision support services for community radiotherapy centers58
Evaluation of deep learning training strategies for the classification of bone marrow cell images57
CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms57
Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation57
Ontology Driven Smart Health Service Integration56
MBGA-Net: A multi-branch graph adaptive network for individualized motor imagery EEG classification56
Medical image super-resolution reconstruction algorithms based on deep learning: A survey55
FSI modeling on the effect of artery-aneurysm thickness and coil embolization in patient cases55
Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor54
MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging53
PregGAN: A prognosis prediction model for breast cancer based on conditional generative adversarial networks53
Health classification of Meibomian gland images using keratography 5M based on AlexNet model53
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