Computerized Medical Imaging and Graphics

(The H4-Index of Computerized Medical Imaging and Graphics is 32. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-11-01 to 2023-11-01.)
MedGAN: Medical image translation using GANs256
Convolutional neural networks for multi-class brain disease detection using MRI images165
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation122
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review72
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images71
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals70
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation69
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images63
Classification of white blood cells using capsule networks62
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation56
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease55
Does image normalization and intensity resolution impact texture classification?55
Learning tree-structured representation for 3D coronary artery segmentation49
Fast and efficient retinal blood vessel segmentation method based on deep learning network46
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging43
Automatic skin lesion classification based on mid-level feature learning43
A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI38
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution38
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography38
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images37
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning36
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays36
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders35
Deep transfer learning approaches for bleeding detection in endoscopy images35
On the performance of lung nodule detection, segmentation and classification35
LGAN: Lung segmentation in CT scans using generative adversarial network35
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach34
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy34
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine34
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN33
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma32
Deep learning method for localization and segmentation of abdominal CT32
Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks32