OOIR: Observatory of International Research

Papers

(The H4-Index of Computer Methods and Programs in Biomedicine is 56. 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 2021-09-01 to 2025-09-01.)

Article	Citations
A real-time computer-aided diagnosis method for hydatidiform mole recognition using deep neural network	488
SIMUS3: An open-source simulator for 3-D ultrasound imaging	467
4-dimensional local radial basis function interpolation of large, uniformly spaced datasets	405
Importance of the enhanced cooling system for more spherical ablation zones: Numerical simulation, ex vivo and in vivo validation	260
Identifying the patient harms to include in an in silico clinical trial	197
Influence of genetic mutations to atria vulnerability to atrial fibrillation: An in-silico 3D human atria study	180
A study on brain tumor dynamics in two-dimensional irregular domain with variable-order time-fractional derivative	179
MHSU-Net: A more versatile neural network for medical image segmentation	171
Editorial Board	169
Dual-modeling computational framework of magnetoelectric core-shell nanoparticles and nanochain for wireless peripheral nerve regeneration	166
VesselKnife – software for the analysis of tubular structures in biomedical images	157
MSigSeg: An R package for multiple signals segmentation	152
CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms	137
CTGAN-driven synthetic data generation: A multidisciplinary, expert-guided approach (TIMA)	123
Accurate consistency-based MSA reducing the memory footprint	122
Evaluation of cerebrovascular hemodynamics in vascular dementia patients with a new individual computational fluid dynamics algorithm	122
Multi-Modality guidance based surgical navigation for percutaneous endoscopic transforaminal discectomy	121
Finite element analysis of conductive hearing loss caused by fixation and detachment of ligament and tendon in the middle ear	118
Multimodal radiomics based on lesion connectome predicts stroke prognosis	104
MBGA-Net: A multi-branch graph adaptive network for individualized motor imagery EEG classification	100
Lung nodule classification using radiomics model trained on degraded SDCT images	100
Influence of therapeutic grip exercises induced loading rates in distal radius fracture healing with volar locking plate fixation	90
Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases	82
IODeep: An IOD for the introduction of deep learning in the DICOM standard	80
Using machine learning models for predicting monthly iPTH levels in hemodialysis patients	78

Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography	78
Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method	77
SC-Net: Symmetrical conical network for colorectal pathology image segmentation	76
Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network	76
Evaluation of deep learning training strategies for the classification of bone marrow cell images	76
Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18	74
A cloud-based consultation and collaboration system for radiotherapy: Remote decision support services for community radiotherapy centers	74
CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis	74
Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms	71
Modelling of cardiac biventricular electromechanics with coronary blood flow to investigate the influence of coronary arterial motion on coronary haemodynamic	69
Prediction of the mode of delivery using artificial intelligence algorithms	67
An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis	67
CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty	67
Artery vein classification in fundus images using serially connected U-Nets	67
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks	65
Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation	65
Computer modeling of radiofrequency cardiac ablation: 30 years of bioengineering research	65
Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction	64
The impact of small movements with dual lumen cannulae during venovenous extracorporeal membrane oxygenation: A computational fluid dynamics analysis	63
A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography	61
Real-time soft body dissection simulation with parallelized graph-based shape matching on GPU	61
Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction	60
Differential evolution method to find optimal location of a single-element transducer for transcranial focused ultrasound therapy	60
Unsupervised domain adaptation for nuclei segmentation: Adapting from hematoxylin & eosin stained slides to immunohistochemistry stained slides using a curriculum approach	59
Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals	59
Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor	58
Medical image super-resolution reconstruction algorithms based on deep learning: A survey	57
Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?	57
An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino	57
VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants	57
Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management	56
Phantom study of an in-house amplitude-gating respiratory method with silicon photomultiplier technology positron emission tomography/computed tomography	56
S-Net: A novel shallow network for enhanced detail retention in medical image segmentation	56