Computerized Medical Imaging and Graphics

Papers
(The H4-Index of Computerized Medical Imaging and Graphics is 29. 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
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing460
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI92
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis91
Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent 74
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography68
Unpaired virtual histological staining using prior-guided generative adversarial networks65
A VVBP data-based pancreatic lesion detection model with noncontrast CT64
SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data63
DB-SNet: A dual branch network for aortic component segmentation and lesion localization61
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery56
Editorial Board49
A transformer-based hierarchical registration framework for multimodality deformable image registration45
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations39
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis38
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms37
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review37
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data37
Prior knowledge-based multi-task learning network for pulmonary nodule classification36
Portable head CT motion artifact correction via diffusion-based generative model34
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients33
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT31
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI30
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage30
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images30
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework30
Lightweight wavelet convolutional network for guidewire segmentation30
C2BA-UNet: A c29
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase29
Editorial Board29
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