BMC Medical Imaging

Papers
(The TQCC of BMC Medical Imaging is 5. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors511
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques104
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma95
Threshold estimation based on local minima for nucleus and cytoplasm segmentation72
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review62
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images55
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study52
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults51
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features50
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions41
A systematic literature review: exploring the challenges of ensemble model for medical imaging37
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning34
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training33
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy32
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses32
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy32
Segmentation for mammography classification utilizing deep convolutional neural network31
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium31
A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography o29
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status29
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer29
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment28
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review27
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines26
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients26
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control26
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer25
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma25
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge22
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up22
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis22
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma22
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis22
Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features21
Correction to: Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study21
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis21
The impact of cardiopulmonary hemodynamic factors in volumetry for pulmonary nodule management20
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer20
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging20
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images20
Assessment of muscle fiber types transformation in rats with discogenic low back pain using diffusion tensor image of paraspinal muscles19
Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study19
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease19
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis19
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease19
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia19
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT18
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma18
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer18
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke18
Effectiveness and safety of ultrasound-guided percutaneous microwave ablation for hepatic alveolar echinococcosis17
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma17
Signal and morphological changes in the endolymph of patients with vestibular schwannoma on non-contrast 3D FLAIR at 3 Tesla17
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer17
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET/CT16
Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study16
Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT16
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis16
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study16
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience16
Evaluation of computed tomography settings in the context of visualization and discrimination of low dose injections of a novel liquid soft tissue fiducial marker in head and neck imaging16
Aggregation-and-Attention Network for brain tumor segmentation15
A practical biphasic contrast media injection protocol strongly enhances the aorta and pulmonary artery simultaneously using a single CT angiography scan15
Tumor to liver maximum standardized uptake value ratio of FDG-PET/CT parameters predicts tumor treatment response and survival of stage III non-small cell lung cancer15
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study15
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion15
The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer15
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images15
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase15
A review on deep learning MRI reconstruction without fully sampled k-space14
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma14
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma14
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence14
High throughput method for detecting murine brain atrophy using a clinical 3T MRI14
Ultrasonographic differentiation of medullary thyroid carcinoma from papillary thyroid carcinoma: quantitative comparison of morphologic features and different TIRADS risk categorizations14
Value assessment of artificial intelligence in medical imaging: a scoping review14
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma14
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma13
BPI-MVQA: a bi-branch model for medical visual question answering13
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics13
Enhancing the clinical diagnosis of the acute and subacute phases of autoimmune encephalitis and predicting the risk factors: the potential advantages of 18F-FDG PET/CT13
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks13
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation13
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT13
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT12
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning12
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults12
Malignancy risk of thyroid nodules: quality assessment of the thyroid ultrasound report12
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study12
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification12
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review12
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions12
A new scoring system for risk stratification of thyroid tumors12
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection12
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction12
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography12
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding12
GACDN: generative adversarial feature completion and diagnosis network for COVID-1912
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality11
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume11
Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA11
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities11
The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging11
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement11
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease11
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach11
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes11
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose11
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention11
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution11
Comparison of test–retest reliability of BOLD and pCASL fMRI in a two-center study11
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display11
A comparative study of different types of connective tissue-associated interstitial lung disease11
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency11
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach11
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis11
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer10
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning10
Grayscale medical image segmentation method based on 2D&3D object detection with deep learning10
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes10
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis10
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features10
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep lea10
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images10
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification10
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke10
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study10
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules10
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease10
Changes of [18F]FDG-PET/CT quantitative parameters in tumor lesions by the Bayesian penalized-likelihood PET reconstruction algorithm and its influencing factors10
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images10
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature10
Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer10
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging9
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study9
Accelerated muscle mass estimation from CT images through transfer learning9
The role of MRI in the diagnosis and management of tracheal diverticulum9
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics9
Magnetic resonance imaging-guided lumbar nerve root infiltrations: optimization of an in-house protocol9
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography9
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features9
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam9
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer9
Consistency analysis of two US techniques for evaluating hepatic steatosis in patients with metabolic dysfunction-associated steatotic liver disease9
Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V)9
Weighing features of lung and heart regions for thoracic disease classification9
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma9
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium9
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma9
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study9
Analysis of vascularization in thyroid gland nodes with superb microvascular imaging (SMI) and CD34 expression histology: a pilot study9
Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm9
Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study9
Hippocampus segmentation after brain tumor resection via postoperative region synthesis9
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer9
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer9
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma9
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study9
Threshold growth has a limited role in differentiating hepatocellular carcinoma from other focal hepatic lesions9
Imaging and clinical manifestations of hematogenous dissemination in melioidosis9
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study9
Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment9
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis9
The value of MRI for downgrading of breast suspicious lesions detected on ultrasound8
Liver fibrosis stage classification in stacked microvascular images based on deep learning8
Application of attenuation coefficient in the assessment of hepatic involvement in children and adolescents with Wilson’s disease8
Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging8
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma8
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis8
The value of enhanced multiparameteric MRI diagnostic model for preoperatively predicting surgical methods of inferior vena cava in patients with renal tumors and inferior vena cava tumor thrombus8
HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images8
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors8
Relationship between MRI features and HIF-1α, GLUT1 and Ki-67 expression in pituitary adenoma with cystic degeneration8
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study8
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation8
Identification of SMAD4-mutated pancreatic ductal adenocarcinoma using preoperative contrast-enhanced MRI and clinical characteristics8
DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema8
Impact of metal artifact reduction algorithm on gross tumor volume delineation in tonsillar cancer: reducing the interobserver variation8
A pilot and ex-vivo study of examination of endometrium tissue by catheter based optical coherence tomography8
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation8
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study8
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images8
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis8
MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images8
Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound8
Magnetic resonance imaging findings among young adults with low back pain at Nsambya hospital7
Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction7
MR–CT image fusion method of intracranial tumors based on Res2Net7
Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study7
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model7
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography7
Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis7
Correction: The BCPM method: decoding breast cancer with machine learning7
Extracellular volume-guided late gadolinium enhancement analysis for non-ischemic cardiomyopathy: The Women’s Interagency HIV Study7
In vitro detection of cancer cells using a novel fluorescent choline derivative7
Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia7
Ultrasound localization microscopy in the diagnosis of breast tumors and prediction of relevant histologic biomarkers associated with prognosis in humans: the protocol for a prospective, multicenter s7
Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism7
Magnetic resonance imaging findings in Ghanaian patients presenting with low back pain: a single centre study7
Association between non-alcoholic fatty liver disease and progression of abdominal aortic aneurysm: a multicenter study7
Magnetic resonance imaging features of epididymal and/or testicular tuberculosis: a case series7
Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens7
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor7
Utilizing CT imaging for evaluating late gastrointestinal tract side effects of radiotherapy in uterine cervical cancer: a risk regression analysis7
Novel transfer learning based bone fracture detection using radiographic images7
Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model7
Evaluation of mental foramen and accessory mental foramen using cone beam computed tomography in a Turkish population7
A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images7
Exploration of CT-based discrimination and diagnosis of various pathological types of ground glass nodules in the lungs7
MRI-based machine learning models predict the malignant biological behavior of meningioma7
Value of CEUS features in diagnosing thyroid nodules with halo sign on B-mode ultrasound7
Recommended National diagnostic reference levels for adult abdomino-pelvic computed tomography examinations in Ethiopia7
Estimate of the hydraulic force in the aging heart: a cardiovascular magnetic resonance imaging study7
18F-FDG-PET/CT in relapsed multiple myeloma: Are prognostic thresholds different from first-line therapy?7
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review6
Contrast enhancement boost improves the image quality of CT angiography derived from 80-kVp cerebral CT perfusion data6
Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study6
Automated cervical cell segmentation using deep ensemble learning6
Three-stage segmentation of lung region from CT images using deep neural networks6
Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images6
Assessment of postpartum haemorrhage for placenta accreta: Is measurement of myometrium thickness and dark intraplacental bands using MRI helpful?6
Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review6
Low-dose whole-spine imaging using slot-scan digital radiography: a phantom study6
Location-specific pathology analysis of monopodial airways in a rabbit model of bronchopulmonary dysplasia: a proof of principle study6
Correction to: Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v26
Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model6
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning6
Spatial attention-based CSR-Unet framework for subdural and epidural hemorrhage segmentation and classification using CT images6
An analysis of the correlation between diabetic retinopathy and preretinal oxygen tension using three-dimensional spoiled gradient-recalled echo sequence imaging6
Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease6
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network6
COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images6
Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer6
Evaluating the consistency in different methods for measuring left atrium diameters6
An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer6
Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction6
Analysis of enhanced CT imaging signs and clinicopathological prognostic factors in hepatoid adenocarcinoma of stomach patients with radical surgery: a retrospective study6
Comparison of 96-kV and 120-kV cone-beam CT for the assessment of cochlear implants6
Giant subcutaneous bronchogenic cyst in the intergluteal cleft region of an adult: a case report and literature review6
A novel technique using ultrasonography in upper airway management after anterior cervical decompression and fusion6
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis6
Comparison of pointwise encoding time reduction with radial acquisition (PETRA) imaging with conventional MR imaging for the diagnosis of traumatic fractures in children6
Trends in CT examination utilization in the emergency department during and after the COVID-19 pandemic6
Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam6
Multimodal magnetic resonance imaging in the diagnosis of cervical cancer and its correlation with the differentiation process of cervical cancer6
Correction: Differential diagnosis and feature visualization for thyroid nodules using computer-aided ultrasonic diagnosis system: initial clinical assessment6
Nomogram for the preoperative prediction of Ki-67 expression and prognosis in stage IA lung adenocarcinoma based on clinical and multi-slice spiral computed tomography features6
Comparative study on efficacy and safety of ultrasound guided transoral and transcutaneous core needle biopsy in patients with oral masses6
Axial and frontal X-ray fluoroscopy technique of the sustentaculum tali can improve the accuracy of sustentacular screw placement6
Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study6
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