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 2022-06-01 to 2026-06-01.)
ArticleCitations
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma165
Multiparametric MRI assessment of acute neuroinflammation in a murine model of peripheral LPS stimulation139
3DSN-net: dual-tandem attention mechanism interaction network for breast tumor classification139
Neurite orientation dispersion and density imaging reveals microstructural damage in moyamoya disease: a study based on tract- and gray-based spatial statistics90
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions75
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses75
Multiparametric dual-energy computed tomography radiomics for predicting microvascular invasion in hepatocellular carcinoma67
Shear wave elastography can improve the preoperative diagnosis of parathyroid carcinoma or atypical parathyroid tumor: initial experience67
Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy67
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features65
Reducing radiomics errors in nasopharyngeal cancer via deep learning-based synthetic CT generation from CBCT61
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation55
Cerebral small vessel disease moderates the association between executive dysfunction and spontaneous neural activity in adults who lost their only child53
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images53
ART workflow based on CBCT and end-to-end clinical dynamic phantom validation52
Association of local collateral formation on TOF-MRA with plaque characteristics and ischemic stroke in intracranial atherosclerotic stenosis50
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review48
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium48
Machine learning-based predictive model for the diagnosis of PH pulmonary hypertension diagnosis integrating cardiac magnetic resonance imaging and clinical biomarkers46
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation40
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy40
Systemic lupus erythematosus and rheumatoid arthritis with lymphatic system involvement: a study based on non-contrast MR lymphangiography and 99TCm-DX lymphoscintigraphy40
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training39
DefaceQA - automated quality assessment of brain MRI defacing software39
Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study36
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques36
Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study36
Deep learning for automated diagnosis and differentiation of otitis media on temporal bone CT35
Styloid process morphology in extracranial internal carotid artery dissection: a CTA case-control study35
Utilizing imaging features of preoperative gadoxetic acid-enhanced MRI for predicting lymphovascular invasion in colorectal cancer liver metastases and exploring its impact on survival34
A multitask Transformer-VAE framework for robust PPG denoising and atrial fibrillation screening33
A nomogram combined substantia nigra hyperechogenicity with third ventricular width assessed by transcranial sonography in prediction Parkinson’s disease-related cognitive impairment33
Segmentation for mammography classification utilizing deep convolutional neural network32
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study32
A systematic literature review: exploring the challenges of ensemble model for medical imaging32
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation32
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
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma30
Association between age and lung cancer risk: evidence from lung lobar radiomics30
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia29
Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla29
Clinical value of dual-energy CT parameters combined with morphological features in predicting graves’ ophthalmopathy28
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer28
CT texture analysis of pediatric teratomas—associations with identification and grading of immature teratoma28
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease27
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 features27
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients26
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status26
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment26
Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans25
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis25
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging25
The role of dynamic larynx CT in the investigation of persistent hoarseness following viral infections25
Magnetic resonance imaging follow-up after anterior cruciate ligament reconstruction25
Assessment of cardiac allograft vasculopathy in heart transplant patients using multidimensional dynamic CTA and principal components analysis24
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge24
Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke24
Can multi-phase contrast-enhanced CT be used to differentiate between intra-abdominal and retroperitoneal fat-poor liposarcoma and leiomyosarcoma?24
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control23
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images22
Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT22
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer21
Radiomics model for risk stratification of intracranial aneurysm: a high-resolution vessel wall imaging-based study21
Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-1821
Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study21
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis21
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer21
Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions21
DeiT-MLP-mixer for the preoperative prediction of axillary lymph node involvement in breast cancer via ultrasound imaging20
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs20
CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer20
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review20
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines20
MSFE-GallNet-X: a multi-scale feature extraction-based CNN Model for gallbladder disease analysis with enhanced explainability20
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up20
Exploring the relationships between CT and pathological characteristics and gene mutations in neoplastic ground glass nodules19
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis19
Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma19
The diagnostic value of MRE in patients with decompensated cirrhosis: comparing it to Gd-EOB-DTPA–enhanced MRI19
MRI proton density fat fraction for estimation of biological characteristics in hepatocellular carcinoma19
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease19
Retinal thickness and microvascular alterations in the diagnosis of behcet’s disease: a case-control study19
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 o19
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma18
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
Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity18
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
Dual-energy computed tomography collagen density mapping of the temporomandibular disc18
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma18
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis18
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study17
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase17
Correction: Preoperative FLAIR images for identifying glioblastoma boundaries17
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 cancer17
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
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience17
Dynamic network dysregulation in post-stroke aphasia: analysis of dALFF and dynamic functional connectivity17
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
Value assessment of artificial intelligence in medical imaging: a scoping review16
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence16
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis16
Pretreatment dual-energy CT versus diffusion-weighted imaging for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer16
Application of multimodal ultrasound radiomics in the diagnosis of superficial lymph node tuberculosis16
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer16
A longitudinal analysis of T1-weighted MRI features associated with progression from mild cognitive impairment to Alzheimer’s disease16
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
Repeatability and reproducibility of hemodynamic measurements by intracranial 4D Flow MRI: a multi‑vendor and multi‑software cross‑over comparison study15
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma15
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
Ultrasonographic differentiation of medullary thyroid carcinoma from papillary thyroid carcinoma: quantitative comparison of morphologic features and different TIRADS risk categorizations15
Fine-tuned lightweight language models for structured extraction of liver cancer imaging free-text report: a comparative analysis with existing large language models15
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/CT15
High throughput method for detecting murine brain atrophy using a clinical 3T MRI15
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion15
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study15
Gray matter volume and structural covariance alterations in young males with childhood-onset growth hormone deficiency15
End-to-end deep learning framework for automated angle estimation in hallux valgus from full-field weight-bearing radiographs15
Noninvasive preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma based on dynamic contrast-enhanced MRI15
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT15
Ensemble deep learning model for accurate assessment of renal fibrosis in chronic kidney disease using two-dimensional shear wave elastography images14
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose14
Pediatric lung ground glass nodules: a real-world, large-scale CT cohort analysis14
The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging14
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics14
Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography14
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma14
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions14
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke14
A new scoring system for risk stratification of thyroid tumors14
Parasagittal subdural space: a novel quantitative marker of spontaneous intracranial hypotension syndrome-induced chronic subdural hematoma14
MDPNet: a multi-scale difference perception network for esophageal cancer segmentation in CT images14
Establishment of magnetocardiogromics platform with reference range for normal magnetocardiogram14
The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading14
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer14
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images14
MRI study on hippocampal subfield volume loss and abnormal functional connectivity in patients with diabetic retinopathy14
Diagnostic value of shear wave elastography for diabetic peripheral neuropathy: comparison between junior radiologists and senior radiologists14
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review14
Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy13
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning13
Shear wave elastography as a reliable tool in the prediction of renal histopathological abnormalities13
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT13
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults13
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach13
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection13
T2 relaxation time of prostate measured at 5T: preliminary results in healthy adults13
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification13
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study13
Independent component analysis of brain network alterations associated with cognitive impairment in coal workers’ pneumoconiosis13
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation13
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis13
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks13
Contrast-enhanced CT-based radiomics model explained by the Shapley Additive exPlanations (SHAP) method for predicting preoperative diagnosis of pheochromocytoma and adrenal adenoma13
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding13
Comparison of systolic and diastolic CT-FFR for myocardial ischemia diagnosis12
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
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency12
Multiparametric MRI-based habitat analysis integrating deep learning and radiomics for predicting preoperative Ki-67 expression level in breast cancer12
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution12
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography12
Multiparametric MRI findings, PI-RADS scores, and gleason scores in prostate cancer patients at Kumasi, Ghana: a cross-sectional analysis12
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction12
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality12
Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18)12
Preoperative synthetic magnetic resonance imaging-based biomarkers for predicting tumor budding of rectal cancer12
Perilesional radiomics enhances 90-day outcome prediction in intracerebral hemorrhage: development and validation of a combined model with hematoma radiomics and clinical features12
CT-based radiomics to predict peri-device leakage after left atrial appendage closure12
A robust and data-efficient deep learning model for cardiac assessment without segmentation12
An exploratory analysis of the utility of maximum degree of stenosis on computed tomography coronary angiography for predicting major adverse cardiac events12
Bone age assessment: comparative analysis of Greulich-Pyle and Tanner-Whitehouse 3 by pediatric radiologists and endocrinologists11
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke11
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
Enhancing mesenteric vascular imaging with dual-energy CTA: a comparison of DLIR and ASIR-V using low contrast agent and low radiation dose protocols11
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
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images11
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume11
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images11
A multicenter study on preoperative WHO/ISUP grading of clear cell renal cell carcinoma using triphasic contrast-enhanced CT-based habitat imaging11
Predicting mild cognitive impairment in patients with Parkinson’s disease by integrating striatal MRI radiomics with clinical features11
A comparative assessment of age- and gender-related variations in brain morphometry using linear and volumetric MRI analysis11
ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet11
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach11
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
2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma11
Comparison of biparameter and multiparameter MRI in detection of clinically significant prostate cancer across PSA stratifications11
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease11
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules11
Can incorporating preoperative arterial enhancement ratio map into habitat analysis predict TACE refractoriness in unresectable hepatocellular carcinoma?11
Efficient transformer integration in nnU-Net for liver tumor segmentation: an external validation study11
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes11
Hypothalamic subunit atrophy and glymphatic dysfunction in idiopathic hypogonadotropic hypogonadism: associations with cognitive impairment10
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma10
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning10
Neural networks with personalized training for improved MOLLI T1 mapping10
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer10
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma10
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium10
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis10
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)10
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging10
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study10
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities10
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer10
Threshold growth has a limited role in differentiating hepatocellular carcinoma from other focal hepatic lesions10
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
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
Neuroimaging patterns of brain injury in children following near-drowning10
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification10
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature10
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics10
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study10
A new predictor of disease activity in Takayasu’s arteritis patients: pericarotid fat density10
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma10
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study9
Incidence, timing, and risk factors of severe complications after percutaneous ultrasound-guided tumor biopsy: a proposal for safe aftercare based on 30 years´ experience9
Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months9
Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis9
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer9
The impact of chest computed tomography-defined emphysema on extrapulmonary metastases in patients with lung cancer9
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma9
Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer9
The feasibility of the radiomics models for tumor-infiltrating lymphocytes level prediction in breast cancer based on dynamic contrast-enhanced MRI9
Relationship between MRI features and HIF-1α, GLUT1 and Ki-67 expression in pituitary adenoma with cystic degeneration9
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features9
Accelerated muscle mass estimation from CT images through transfer learning9
Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment9
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study9
MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images9
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study9
Automated deep-learning quantification of intramuscular fat in lumbar spine muscles on Dixon MRI: validation and normative reference values from 173 healthy adults9
Predicting the biological behavior of cervical squamous cell carcinoma: a machine learning approach using apparent transverse relaxation rate (R2* maps) radiomics nomogram9
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images9
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-R9
Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model9
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam9
Sex differences and age-related changes of large-scale brain networks9
Spatially decoupled reliable mutual learning for semi-supervised medical image segmentation9
Hippocampus segmentation after brain tumor resection via postoperative region synthesis9
Multiparametric MRI approach identifies pathologic complete response in patients with local advanced rectal cancer after neoadjuvant therapy9
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features9
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis9
DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema9
Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging9
Impact of metal artifact reduction algorithm on gross tumor volume delineation in tonsillar cancer: reducing the interobserver variation9
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