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 2022-08-01 to 2026-08-01.)
ArticleCitations
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma175
Multiparametric MRI assessment of acute neuroinflammation in a murine model of peripheral LPS stimulation164
Neurite orientation dispersion and density imaging reveals microstructural damage in moyamoya disease: a study based on tract- and gray-based spatial statistics158
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses99
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions89
Shear wave elastography can improve the preoperative diagnosis of parathyroid carcinoma or atypical parathyroid tumor: initial experience86
Multiparametric dual-energy computed tomography radiomics for predicting microvascular invasion in hepatocellular carcinoma85
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features81
Reducing radiomics errors in nasopharyngeal cancer via deep learning-based synthetic CT generation from CBCT78
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation75
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images67
ART workflow based on CBCT and end-to-end clinical dynamic phantom validation63
Association of local collateral formation on TOF-MRA with plaque characteristics and ischemic stroke in intracranial atherosclerotic stenosis62
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium58
Machine learning-based predictive model for the diagnosis of PH pulmonary hypertension diagnosis integrating cardiac magnetic resonance imaging and clinical biomarkers57
Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study56
Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study54
A nomogram combined substantia nigra hyperechogenicity with third ventricular width assessed by transcranial sonography in prediction Parkinson’s disease-related cognitive impairment52
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy47
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation46
Cerebral small vessel disease moderates the association between executive dysfunction and spontaneous neural activity in adults who lost their only child45
Systemic lupus erythematosus and rheumatoid arthritis with lymphatic system involvement: a study based on non-contrast MR lymphangiography and 99TCm-DX lymphoscintigraphy44
DefaceQA - automated quality assessment of brain MRI defacing software43
Quantitative spectral parameters of photon-counting detector CT for noninvasive prediction of PD-L1 expression in non-small cell lung cancer41
Utilizing imaging features of preoperative gadoxetic acid-enhanced MRI for predicting lymphovascular invasion in colorectal cancer liver metastases and exploring its impact on survival40
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study40
MRI findings of intrahepatic cholangiocarcinoma with sarcomatoid differentiation: a retrospective case series39
Styloid process morphology in extracranial internal carotid artery dissection: a CTA case-control study38
Association between 3 D CT-based volumetric fat infiltration of lumbar paraspinal muscles and bone mineral density: a clinical study37
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review37
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation36
A transformer-based multimodal deep learning model for preoperative prediction of Ki-67 expression level in glioma36
Deep learning for automated diagnosis and differentiation of otitis media on temporal bone CT36
Quantitative white matter alterations of the anterior visual pathway predict injury following radiotherapy for nasopharyngeal carcinoma: a high-angular-resolution diffusion imaging study35
Segmentation for mammography classification utilizing deep convolutional neural network34
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques34
A multitask Transformer-VAE framework for robust PPG denoising and atrial fibrillation screening34
The impact of protective eyewear and device position on operator radiation dose during handheld portable X‑ray device use34
Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy33
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training33
3DSN-net: dual-tandem attention mechanism interaction network for breast tumor classification32
A systematic literature review: exploring the challenges of ensemble model for medical imaging32
Gliomas grading prediction using multicenter 3T Magnetic Resonance Spectroscopy31
Assessment of muscle fiber types transformation in rats with discogenic low back pain using diffusion tensor image of paraspinal muscles31
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma31
Clinical value of dual-energy CT parameters combined with morphological features in predicting graves’ ophthalmopathy30
CT texture analysis of pediatric teratomas—associations with identification and grading of immature teratoma30
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia30
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease29
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment28
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging27
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status27
Can multi-phase contrast-enhanced CT be used to differentiate between intra-abdominal and retroperitoneal fat-poor liposarcoma and leiomyosarcoma?27
Magnetic resonance imaging follow-up after anterior cruciate ligament reconstruction27
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge27
The role of dynamic larynx CT in the investigation of persistent hoarseness following viral infections27
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer26
Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke26
Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions26
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images26
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review25
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines25
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up25
Retinal thickness and microvascular alterations in the diagnosis of behcet’s disease: a case-control study25
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis25
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients25
CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer24
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis24
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis23
Assessment of cardiac allograft vasculopathy in heart transplant patients using multidimensional dynamic CTA and principal components analysis23
Exploring the relationships between CT and pathological characteristics and gene mutations in neoplastic ground glass nodules23
Multi-organ metabolic connectivity mapping in advanced pulmonary arterial hypertension: a group-level 18 F-FDG PET-controlled study22
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer22
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control22
MRI proton density fat fraction for estimation of biological characteristics in hepatocellular carcinoma22
MSFE-GallNet-X: a multi-scale feature extraction-based CNN Model for gallbladder disease analysis with enhanced explainability22
Association between age and lung cancer risk: evidence from lung lobar radiomics22
AI-assisted ultrasound for trauma: a scoping review22
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
Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla21
A deep learning–based study on automated CT diagnosis of kidney stones, hydronephrosis and pyonephrosis21
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma21
A comprehensive survey of multi-modality medical image fusion: methods, challenges, and applications20
Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-1820
Linking vertebral trabecular structure to growth rate: clinical and developmental insights20
The diagnostic value of MRE in patients with decompensated cirrhosis: comparing it to Gd-EOB-DTPA–enhanced MRI20
Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans20
Integrating MRI radiomics and deep learning for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study20
Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT20
Low-kV high-pitch one-scan aortic and coronary CT angiography using dual-source photon-counting CT: comparison with separate acquisition strategies19
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs19
Radiomics model for risk stratification of intracranial aneurysm: a high-resolution vessel wall imaging-based study19
Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma19
DeiT-MLP-mixer for the preoperative prediction of axillary lymph node involvement in breast cancer via ultrasound imaging19
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease19
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer19
Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study18
Gray matter volume and structural covariance alterations in young males with childhood-onset growth hormone deficiency18
Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity18
Repeatability and reproducibility of hemodynamic measurements by intracranial 4D Flow MRI: a multi‑vendor and multi‑software cross‑over comparison study18
The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules18
Value of multiparametric MRI as a potential marker to differentiate membranous nephropathy from IgA nephropathy18
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence17
Automated pancreatic extracellular volume fraction as a biomarker for microangiopathy in type 2 diabetes mellitus17
Histogram analysis of IVIM MRI for differentiating glioma IDH-1 status, grade, and Ki-67 expression: a comparison of bi-exponential models at multiple B-value17
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma17
End-to-end deep learning framework for automated angle estimation in hallux valgus from full-field weight-bearing radiographs17
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase17
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 and17
Fine-tuned lightweight language models for structured extraction of liver cancer imaging free-text report: a comparative analysis with existing large language models17
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 study17
Dynamic network dysregulation in post-stroke aphasia: analysis of dALFF and dynamic functional connectivity16
Correction: Preoperative FLAIR images for identifying glioblastoma boundaries16
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 cancer16
High throughput method for detecting murine brain atrophy using a clinical 3T MRI16
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study16
Noninvasive preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma based on dynamic contrast-enhanced MRI16
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion16
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/CT16
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience16
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 cancer16
Ultrasonographic differentiation of medullary thyroid carcinoma from papillary thyroid carcinoma: quantitative comparison of morphologic features and different TIRADS risk categorizations16
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis15
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma15
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT15
A longitudinal analysis of T1-weighted MRI features associated with progression from mild cognitive impairment to Alzheimer’s disease15
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer15
Value assessment of artificial intelligence in medical imaging: a scoping review15
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions15
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study15
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke15
Application of multimodal ultrasound radiomics in the diagnosis of superficial lymph node tuberculosis15
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 study15
Diagnostic accuracy of MRI for preoperative mapping of anal fistula: a prospective study of 204 patients with surgical correlation15
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose15
The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging15
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
Dual-energy computed tomography collagen density mapping of the temporomandibular disc15
Pediatric lung ground glass nodules: a real-world, large-scale CT cohort analysis15
Pretreatment dual-energy CT versus diffusion-weighted imaging for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer15
Performance of GPT-4o in CT-based crista galli morphological classification: image-only versus morphometric dataset-driven approaches: a controlled comparative study15
The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading15
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma15
MRI study on hippocampal subfield volume loss and abnormal functional connectivity in patients with diabetic retinopathy14
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection14
Establishment of magnetocardiogromics platform with reference range for normal magnetocardiogram14
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma14
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review14
MDPNet: a multi-scale difference perception network for esophageal cancer segmentation in CT images14
Parasagittal subdural space: a novel quantitative marker of spontaneous intracranial hypotension syndrome-induced chronic subdural hematoma14
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning14
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study13
T2 relaxation time of prostate measured at 5T: preliminary results in healthy adults13
CT-based radiomics to predict peri-device leakage after left atrial appendage closure13
Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography13
Comparison of systolic and diastolic CT-FFR for myocardial ischemia diagnosis13
Independent component analysis of brain network alterations associated with cognitive impairment in coal workers’ pneumoconiosis13
Ensemble deep learning model for accurate assessment of renal fibrosis in chronic kidney disease using two-dimensional shear wave elastography images13
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT13
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach13
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics13
Contrast-enhanced CT-based radiomics model explained by the Shapley Additive exPlanations (SHAP) method for predicting preoperative diagnosis of pheochromocytoma and adrenal adenoma13
Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy13
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation13
Shear wave elastography as a reliable tool in the prediction of renal histopathological abnormalities13
A new scoring system for risk stratification of thyroid tumors13
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification13
An exploratory analysis of the utility of maximum degree of stenosis on computed tomography coronary angiography for predicting major adverse cardiac events12
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images12
Multiparametric MRI-based habitat analysis integrating deep learning and radiomics for predicting preoperative Ki-67 expression level in breast cancer12
Diagnosis of tympanic effusions using hyperspectral imaging to prevent unnecessary paracentesis procedures12
Perilesional radiomics enhances 90-day outcome prediction in intracerebral hemorrhage: development and validation of a combined model with hematoma radiomics and clinical features12
Preoperative synthetic magnetic resonance imaging-based biomarkers for predicting tumor budding of rectal cancer12
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding12
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution12
Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18)12
A robust and data-efficient deep learning model for cardiac assessment without segmentation12
PatchGAN-guided semi-supervised U-Net for carotid plaque segmentation in ultrasound under limited annotation conditions12
Diagnostic value of shear wave elastography for diabetic peripheral neuropathy: comparison between junior radiologists and senior radiologists12
Multiparametric MRI findings, PI-RADS scores, and gleason scores in prostate cancer patients at Kumasi, Ghana: a cross-sectional analysis12
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks12
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography12
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease12
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes12
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency12
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction12
Association between maternal body mass index and increased fetal pancreatic circumference in normoglycemic pregnancies: a prospective cross-sectional study12
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention12
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis12
Efficient transformer integration in nnU-Net for liver tumor segmentation: an external validation study11
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display11
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke11
Bone age assessment: comparative analysis of Greulich-Pyle and Tanner-Whitehouse 3 by pediatric radiologists and endocrinologists11
A multicenter study on preoperative WHO/ISUP grading of clear cell renal cell carcinoma using triphasic contrast-enhanced CT-based habitat imaging11
2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma11
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach11
A comparative study of different types of connective tissue-associated interstitial lung disease11
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep lea11
Identification of ischemic stroke risk in patients with left ventricular non-compaction using echocardiography, deep learning, and radiomics11
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules11
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images11
Enhancing mesenteric vascular imaging with dual-energy CTA: a comparison of DLIR and ASIR-V using low contrast agent and low radiation dose protocols11
Comparison of biparameter and multiparameter MRI in detection of clinically significant prostate cancer across PSA stratifications11
Qualitative and quantitative assessment of intratumoral fat using chemical-shift MRI for predicting histological grade of hepatocellular carcinoma11
A novel biological interpretation of neuropsychiatric symptoms in patients with allergic rhinitis: insights from brain functional connectivity gradient and serum multi-omics analysis11
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality11
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities11
Prenatal MRI quantitative analysis of the nonlinear morphological changes of the choroid plexus during the progression of fetal ventriculomegaly11
A comparative assessment of age- and gender-related variations in brain morphometry using linear and volumetric MRI analysis11
Predicting mild cognitive impairment in patients with Parkinson’s disease by integrating striatal MRI radiomics with clinical features11
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 carcinoma11
Can incorporating preoperative arterial enhancement ratio map into habitat analysis predict TACE refractoriness in unresectable hepatocellular carcinoma?11
Hypothalamic subunit atrophy and glymphatic dysfunction in idiopathic hypogonadotropic hypogonadism: associations with cognitive impairment10
Shear wave elastography and ultrasonic multi-parameter score for the identification of moderate-to-severe chronic kidney disease10
Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information – a comprehensive comparative study against readers and O-R10
Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model10
A new predictor of disease activity in Takayasu’s arteritis patients: pericarotid fat density10
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study10
Hippocampus segmentation after brain tumor resection via postoperative region synthesis10
The impact of chest computed tomography-defined emphysema on extrapulmonary metastases in patients with lung cancer10
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning10
ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet10
Longitudinal bilateral parotid delta-radiomic kinetics and variance signatures for prediction of late xerostomia following radiotherapy10
Consistency analysis of two US techniques for evaluating hepatic steatosis in patients with metabolic dysfunction-associated steatotic liver disease10
Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study10
Incidence, timing, and risk factors of severe complications after percutaneous ultrasound-guided tumor biopsy: a proposal for safe aftercare based on 30 years´ experience10
BCP-YOLO: a lightweight and interpretable YOLOv8-based framework for real-time coloreactal polyp detection10
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography10
Imaging and clinical manifestations of hematogenous dissemination in melioidosis10
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis 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
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study10
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma10
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification10
Neural networks with personalized training for improved MOLLI T1 mapping10
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics10
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma10
Spatially decoupled reliable mutual learning for semi-supervised medical image segmentation10
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features10
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma10
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging10
Accelerated muscle mass estimation from CT images through transfer learning10
Multiparametric MRI approach identifies pathologic complete response in patients with local advanced rectal cancer after neoadjuvant therapy10
Neuroimaging patterns of brain injury in children following near-drowning10
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study10
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume10
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature9
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer9
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis9
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