Computerized Medical Imaging and Graphics

Papers
(The H4-Index of Computerized Medical Imaging and Graphics is 34. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation177
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review92
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals85
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images85
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images76
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease70
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation68
Classification of white blood cells using capsule networks68
Does image normalization and intensity resolution impact texture classification?67
Learning tree-structured representation for 3D coronary artery segmentation59
Fast and efficient retinal blood vessel segmentation method based on deep learning network52
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy51
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging51
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution49
Automatic skin lesion classification based on mid-level feature learning48
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN47
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays46
On the performance of lung nodule detection, segmentation and classification44
A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI43
Deep transfer learning approaches for bleeding detection in endoscopy images43
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography42
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images41
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine41
Automatic cardiac cine MRI segmentation and heart disease classification38
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders38
LGAN: Lung segmentation in CT scans using generative adversarial network38
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning38
A survey on graph-based deep learning for computational histopathology38
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma37
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach37
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic37
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs35
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network34
Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks34
0.041250944137573