OOIR: Observatory of International Research

Papers

(The H4-Index of BMC Medical Imaging is 23. 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.)

Article	Citations
Transfer learning for medical image classification: a literature review	314
COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet	157
Melanoma diagnosis using deep learning techniques on dermatoscopic images	107
A deep learning approach for dental implant planning in cone-beam computed tomography images	92
Universal adversarial attacks on deep neural networks for medical image classification	82
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework	80
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning	69
A review on deep learning MRI reconstruction without fully sampled k-space	53
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning	51
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs	46
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images	34
Automated detection of pulmonary embolism from CT-angiograms using deep learning	33
Practical utility of liver segmentation methods in clinical surgeries and interventions	32
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma	30
Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review	30
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models	29
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI	27
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features	27
Diagnostic accuracy of CBCT versus intraoral imaging for assessment of peri‐implant bone defects	27
Accuracy of whole-body diffusion-weighted MRI (WB-DWI/MRI) in diagnosis, staging and follow-up of gastric cancer, in comparison to CT: a pilot study	26
WBC image classification and generative models based on convolutional neural network	25
Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ	24
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning	23