Computerized Medical Imaging and Graphics

Papers
(The H4-Index of Computerized Medical Imaging and Graphics is 27. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography371
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 184
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing94
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI81
Editorial Board80
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery73
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis69
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis60
A transformer-based hierarchical registration framework for multimodality deformable image registration57
Unpaired virtual histological staining using prior-guided generative adversarial networks53
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms50
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations50
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review48
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning46
C2BA-UNet: A c45
Editorial Board41
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data36
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer36
Prior knowledge-based multi-task learning network for pulmonary nodule classification35
Corrigendum to “Machine learning techniques for mitoses classification” [Comput. Med. Imaging Graphics 87 January (2021) 101832]34
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT34
Computed tomography image reconstruction using stacked U-Net33
Portable head CT motion artifact correction via diffusion-based generative model33
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks32
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI32
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation29
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage28
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase27
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework27
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography27
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