OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Imaging Systems and Technology 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 2020-03-01 to 2024-03-01.)

Article	Citations
Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism	88
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features	75
ME‐Net: Multi‐encoder net framework for brain tumor segmentation	74
Brain tumor diagnosis based on metaheuristics and deep learning	72
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science	54
Glaucoma assessment from color fundus images using convolutional neural network	54
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis	49
Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics	47
Convolutional capsule network for COVID‐19 detection using radiography images	41
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features	40
Breast cancer histopathological image classification using attention high‐order deep network	39
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm	36
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm	36
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images	34
Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images	33
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images	32
DHS‐CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images	32
An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction	32
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network	32
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features	31
Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection	31
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET	30
Breast cancer histopathology image classification using kernelized weighted extreme learning machine	30
COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images	27
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach	26

Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis