BMC Medical Imaging

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 2020-04-01 to 2024-04-01.)
ArticleCitations
Transfer learning for medical image classification: a literature review199
COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet143
Melanoma diagnosis using deep learning techniques on dermatoscopic images90
Universal adversarial attacks on deep neural networks for medical image classification73
A deep learning approach for dental implant planning in cone-beam computed tomography images70
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning67
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework61
An improved deep learning approach and its applications on colonic polyp images detection47
Deep semi-supervised learning for brain tumor classification43
A review on deep learning MRI reconstruction without fully sampled k-space40
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs34
Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging31
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning30
Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease28
Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images28
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma27
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images26
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 study24
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models24
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome24
Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis23
A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients23
Diagnostic performance of ultrasonography, dual-phase 99mTc-MIBI scintigraphy, early and delayed 99mTc-MIBI SPECT/CT in preoperative parathyroid gland localization in secondary hyperparathyroidism23
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