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 2021-12-01 to 2025-12-01.)
ArticleCitations
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques673
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma136
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images120
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation85
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy84
3DSN-net: dual-tandem attention mechanism interaction network for breast tumor classification75
Multiparametric MRI assessment of acute neuroinflammation in a murine model of peripheral LPS stimulation71
Reducing radiomics errors in nasopharyngeal cancer via deep learning-based synthetic CT generation from CBCT69
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation68
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training64
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions51
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review50
Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy48
Segmentation for mammography classification utilizing deep convolutional neural network46
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning44
Neurite orientation dispersion and density imaging reveals microstructural damage in moyamoya disease: a study based on tract- and gray-based spatial statistics43
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features43
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults39
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study39
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses38
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma37
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium37
A systematic literature review: exploring the challenges of ensemble model for medical imaging37
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs37
Threshold estimation based on local minima for nucleus and cytoplasm segmentation37
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer34
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients34
Assessment of muscle fiber types transformation in rats with discogenic low back pain using diffusion tensor image of paraspinal muscles32
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis31
Association between age and lung cancer risk: evidence from lung lobar radiomics31
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT31
CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer29
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer29
MRI proton density fat fraction for estimation of biological characteristics in hepatocellular carcinoma29
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment27
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control26
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up26
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis26
Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans26
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status26
MSFE-GallNet-X: a multi-scale feature extraction-based CNN Model for gallbladder disease analysis with enhanced explainability26
The impact of cardiopulmonary hemodynamic factors in volumetry for pulmonary nodule management25
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease25
The role of dynamic larynx CT in the investigation of persistent hoarseness following viral infections25
Magnetic resonance imaging follow-up after anterior cruciate ligament reconstruction24
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging24
Exploring the relationships between CT and pathological characteristics and gene mutations in neoplastic ground glass nodules24
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 features24
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis24
Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions23
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia22
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines22
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma22
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 o22
CT texture analysis of pediatric teratomas—associations with identification and grading of immature teratoma22
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images22
Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study21
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge21
Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study21
Clinical value of dual-energy CT parameters combined with morphological features in predicting graves’ ophthalmopathy21
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease21
Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla21
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis20
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer20
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review20
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/CT19
Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity19
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke19
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study19
Automated pancreatic extracellular volume fraction as a biomarker for microangiopathy in type 2 diabetes mellitus18
The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules18
The value of diffusion-weighted imaging and semi-quantitative dynamic contrast-enhanced MRI in predicting the efficacy of medroxyprogesterone acetate treatment for atypical endometrial hyperplasia and18
High throughput method for detecting murine brain atrophy using a clinical 3T MRI18
Dual-energy computed tomography collagen density mapping of the temporomandibular disc18
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study17
Correction: Preoperative FLAIR images for identifying glioblastoma boundaries17
Spectral attenuation curves of photon-counting detector CT scans for the differentiation between mucinous and non-mucinous cyst fluids of pancreatic lesions – a proof-of-concept study17
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma17
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma17
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma17
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase17
Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT16
BPI-MVQA: a bi-branch model for medical visual question answering16
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET/CT16
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis16
Effectiveness and safety of ultrasound-guided percutaneous microwave ablation for hepatic alveolar echinococcosis15
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence15
Repeatability and reproducibility of hemodynamic measurements by intracranial 4D Flow MRI: a multi‑vendor and multi‑software cross‑over comparison study15
Ultrasonographic differentiation of medullary thyroid carcinoma from papillary thyroid carcinoma: quantitative comparison of morphologic features and different TIRADS risk categorizations15
A review on deep learning MRI reconstruction without fully sampled k-space15
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer15
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images15
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
Post-valvular energy exchange in bicuspid aortic valve with regurgitation and stenosis and its association with left ventricular workload: a 4D flow magnetic resonance imaging cross-sectional study15
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion15
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer14
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review14
The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging14
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma14
Value assessment of artificial intelligence in medical imaging: a scoping review14
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose14
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation14
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 cancer14
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT14
A new scoring system for risk stratification of thyroid tumors14
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience14
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks13
The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading13
Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography13
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning13
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study13
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics13
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions13
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding13
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT13
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction13
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma13
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification13
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography13
Malignancy risk of thyroid nodules: quality assessment of the thyroid ultrasound report13
Ensemble deep learning model for accurate assessment of renal fibrosis in chronic kidney disease using two-dimensional shear wave elastography images13
MRI study on hippocampal subfield volume loss and abnormal functional connectivity in patients with diabetic retinopathy13
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention13
Predicting mild cognitive impairment in patients with Parkinson’s disease by integrating striatal MRI radiomics with clinical features12
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease12
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke12
Comparison of biparameter and multiparameter MRI in detection of clinically significant prostate cancer across PSA stratifications12
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection12
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults12
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities12
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume12
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease12
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes12
ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet12
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis12
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution12
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach12
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images12
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep lea12
Development and validation of a CT algorithm based on intratumoral necrosis and tumor morphology to predict the nuclear grade of small (2–4 cm) solid clear cell renal cell carcinoma12
Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18)12
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach12
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency12
An exploratory analysis of the utility of maximum degree of stenosis on computed tomography coronary angiography for predicting major adverse cardiac events11
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer11
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes11
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality11
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study11
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)11
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning11
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma11
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules11
A comparative study of different types of connective tissue-associated interstitial lung disease11
2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma11
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images11
Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months11
Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer11
The role of MRI in the diagnosis and management of tracheal diverticulum11
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study11
Grayscale medical image segmentation method based on 2D&3D object detection with deep learning11
A robust and data-efficient deep learning model for cardiac assessment without segmentation11
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display11
Comparison of test–retest reliability of BOLD and pCASL fMRI in a two-center study11
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification11
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography11
Sex differences and age-related changes of large-scale brain networks11
Imaging and clinical manifestations of hematogenous dissemination in melioidosis11
Neural networks with personalized training for improved MOLLI T1 mapping11
Consistency analysis of two US techniques for evaluating hepatic steatosis in patients with metabolic dysfunction-associated steatotic liver disease10
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis10
Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment10
MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images10
Threshold growth has a limited role in differentiating hepatocellular carcinoma from other focal hepatic lesions10
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis10
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging10
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis10
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features10
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam10
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature10
Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis10
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium10
Accelerated muscle mass estimation from CT images through transfer learning10
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer10
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma10
Hippocampus segmentation after brain tumor resection via postoperative region synthesis10
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma10
Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study9
Relationship between MRI features and HIF-1α, GLUT1 and Ki-67 expression in pituitary adenoma with cystic degeneration9
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer9
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics9
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study9
Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer9
A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei9
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model9
Association between non-alcoholic fatty liver disease and progression of abdominal aortic aneurysm: a multicenter study9
Exploring the associations between features from multi-parametric MR images in Glioblastoma using radiomics9
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images9
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study9
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma9
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study9
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 s9
Identification of SMAD4-mutated pancreatic ductal adenocarcinoma using preoperative contrast-enhanced MRI and clinical characteristics9
DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema9
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study9
A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images9
Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging9
A new predictor of disease activity in Takayasu’s arteritis patients: pericarotid fat density9
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer9
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation9
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features9
Development and validation of a nomogram for diabetic tibial neuropathy based on ultrasound radiomics: a multicenter study9
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation9
Exploration of CT-based discrimination and diagnosis of various pathological types of ground glass nodules in the lungs9
Magnetic resonance imaging features of epididymal and/or testicular tuberculosis: a case series9
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
Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy8
Application of attenuation coefficient in the assessment of hepatic involvement in children and adolescents with Wilson’s disease8
A pilot and ex-vivo study of examination of endometrium tissue by catheter based optical coherence tomography8
Value of CEUS features in diagnosing thyroid nodules with halo sign on B-mode ultrasound8
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
Improved noninvasive diagnostic evaluations in treatment-naïve adrenocorticotropic hormone (ACTH)-dependent Cushing’s syndrome8
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor8
Impact of metal artifact reduction algorithm on gross tumor volume delineation in tonsillar cancer: reducing the interobserver variation8
The value of MRI for downgrading of breast suspicious lesions detected on ultrasound8
Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia8
MRI-based machine learning models predict the malignant biological behavior of meningioma8
Recommended National diagnostic reference levels for adult abdomino-pelvic computed tomography examinations in Ethiopia8
Multimodal radiomics in glioma: predicting recurrence in the peritumoural brain zone using integrated MRI8
Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach8
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study8
Assessing AI-augmented training for multiple sclerosis classification in a basal ganglia radiomics model8
Estimate of the hydraulic force in the aging heart: a cardiovascular magnetic resonance imaging study8
Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model8
Liver fibrosis stage classification in stacked microvascular images based on deep learning8
MR–CT image fusion method of intracranial tumors based on Res2Net8
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors8
Evaluation of mental foramen and accessory mental foramen using cone beam computed tomography in a Turkish population8
Magnetic resonance imaging findings in Ghanaian patients presenting with low back pain: a single centre study8
The feasibility of the radiomics models for tumor-infiltrating lymphocytes level prediction in breast cancer based on dynamic contrast-enhanced MRI8
Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study8
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis8
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography8
Magnetic resonance imaging findings among young adults with low back pain at Nsambya hospital8
Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis8
Association of quantitative renal surface nodularity with the renal dysfunction progression in patients with arterial hypertension8
Comparison of pointwise encoding time reduction with radial acquisition (PETRA) imaging with conventional MR imaging for the diagnosis of traumatic fractures in children7
Correction to: Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v27
CT-based deep learning radiomics model for predicting proliferative hepatocellular carcinoma: application in transarterial chemoembolization and radiofrequency ablation7
Novel transfer learning based bone fracture detection using radiographic images7
Enhancing risk stratification in diabetic gastric cancer: muscle-fat ratio from photon-counting CT as a predictor of postoperative complications7
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