Computerized Medical Imaging and Graphics

Papers
(The H4-Index of Computerized Medical Imaging and Graphics is 26. 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
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography357
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 179
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing92
Editorial Board80
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery77
Unpaired virtual histological staining using prior-guided generative adversarial networks71
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis63
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review59
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis56
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations51
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms49
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning46
A transformer-based hierarchical registration framework for multimodality deformable image registration46
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks46
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage42
C2BA-UNet: A c41
Editorial Board36
Portable head CT motion artifact correction via diffusion-based generative model36
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer34
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data33
Prior knowledge-based multi-task learning network for pulmonary nodule classification32
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT31
Corrigendum to “Machine learning techniques for mitoses classification” [Comput. Med. Imaging Graphics 87 January (2021) 101832]31
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase30
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework30
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI27
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography26
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation26
Computed tomography image reconstruction using stacked U-Net26
Semi-supervised hybrid spine network for segmentation of spine MR images26
0.26274394989014