Computerized Medical Imaging and Graphics

Papers
(The H4-Index of Computerized Medical Imaging and Graphics is 30. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation254
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review130
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images116
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals102
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images92
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation76
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy75
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution72
Fast and efficient retinal blood vessel segmentation method based on deep learning network59
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN59
On the performance of lung nodule detection, segmentation and classification56
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays54
A survey on graph-based deep learning for computational histopathology54
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning52
Automatic cardiac cine MRI segmentation and heart disease classification51
Deep transfer learning approaches for bleeding detection in endoscopy images50
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine48
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma45
LGAN: Lung segmentation in CT scans using generative adversarial network44
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic44
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN42
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions40
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT39
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review38
Learning-based algorithms for vessel tracking: A review36
Memory-efficient GAN-based domain translation of high resolution 3D medical images36
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images35
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer35
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks33
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images31
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification30
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning30
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device30
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge30
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