BMC Medical Imaging

Papers
(The median citation count of BMC Medical Imaging is 2. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma160
3DSN-net: dual-tandem attention mechanism interaction network for breast tumor classification125
Multiparametric MRI assessment of acute neuroinflammation in a murine model of peripheral LPS stimulation124
Neurite orientation dispersion and density imaging reveals microstructural damage in moyamoya disease: a study based on tract- and gray-based spatial statistics84
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses79
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions72
Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy70
Shear wave elastography can improve the preoperative diagnosis of parathyroid carcinoma or atypical parathyroid tumor: initial experience66
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features63
Multiparametric dual-energy computed tomography radiomics for predicting microvascular invasion in hepatocellular carcinoma63
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 segmentation61
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images59
Cerebral small vessel disease moderates the association between executive dysfunction and spontaneous neural activity in adults who lost their only child54
ART workflow based on CBCT and end-to-end clinical dynamic phantom validation53
Segmentation for mammography classification utilizing deep convolutional neural network50
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study49
Association of local collateral formation on TOF-MRA with plaque characteristics and ischemic stroke in intracranial atherosclerotic stenosis48
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy46
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium46
DefaceQA - automated quality assessment of brain MRI defacing software44
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training42
Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study40
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques39
Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study38
Machine learning-based predictive model for the diagnosis of PH pulmonary hypertension diagnosis integrating cardiac magnetic resonance imaging and clinical biomarkers38
Systemic lupus erythematosus and rheumatoid arthritis with lymphatic system involvement: a study based on non-contrast MR lymphangiography and 99TCm-DX lymphoscintigraphy37
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation35
A systematic literature review: exploring the challenges of ensemble model for medical imaging35
A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation34
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review34
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma33
AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs32
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia32
Association between age and lung cancer risk: evidence from lung lobar radiomics32
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma32
Assessment of muscle fiber types transformation in rats with discogenic low back pain using diffusion tensor image of paraspinal muscles32
CT texture analysis of pediatric teratomas—associations with identification and grading of immature teratoma30
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease30
Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla30
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease29
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer29
Clinical value of dual-energy CT parameters combined with morphological features in predicting graves’ ophthalmopathy29
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status28
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment28
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 features28
DeiT-MLP-mixer for the preoperative prediction of axillary lymph node involvement in breast cancer via ultrasound imaging28
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis27
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients27
The role of dynamic larynx CT in the investigation of persistent hoarseness following viral infections27
Magnetic resonance imaging follow-up after anterior cruciate ligament reconstruction26
Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans26
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge25
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging25
Can multi-phase contrast-enhanced CT be used to differentiate between intra-abdominal and retroperitoneal fat-poor liposarcoma and leiomyosarcoma?25
Exploring the relationships between CT and pathological characteristics and gene mutations in neoplastic ground glass nodules25
Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions24
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis24
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer24
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 o24
Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-1824
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis23
MRI proton density fat fraction for estimation of biological characteristics in hepatocellular carcinoma23
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer23
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT22
Retinal thickness and microvascular alterations in the diagnosis of behcet’s disease: a case-control study22
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control21
CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer21
MSFE-GallNet-X: a multi-scale feature extraction-based CNN Model for gallbladder disease analysis with enhanced explainability21
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis21
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up21
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review20
Assessment of cardiac allograft vasculopathy in heart transplant patients using multidimensional dynamic CTA and principal components analysis20
Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity20
Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study20
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines20
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images20
Dual-energy computed tomography collagen density mapping of the temporomandibular disc20
Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study20
Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke20
The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules20
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma20
End-to-end deep learning framework for automated angle estimation in hallux valgus from full-field weight-bearing radiographs19
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 and19
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma19
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma19
Automated pancreatic extracellular volume fraction as a biomarker for microangiopathy in type 2 diabetes mellitus19
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-value18
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer18
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase18
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 cancer18
Correction: Preoperative FLAIR images for identifying glioblastoma boundaries18
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 study18
Dynamic network dysregulation in post-stroke aphasia: analysis of dALFF and dynamic functional connectivity18
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke17
Noninvasive preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma based on dynamic contrast-enhanced MRI17
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence17
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
Repeatability and reproducibility of hemodynamic measurements by intracranial 4D Flow MRI: a multi‑vendor and multi‑software cross‑over comparison study16
Pretreatment dual-energy CT versus diffusion-weighted imaging for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer16
Value assessment of artificial intelligence in medical imaging: a scoping review16
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
Ultrasonographic differentiation of medullary thyroid carcinoma from papillary thyroid carcinoma: quantitative comparison of morphologic features and different TIRADS risk categorizations16
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience16
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study16
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion16
High throughput method for detecting murine brain atrophy using a clinical 3T MRI16
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT16
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions15
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
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images15
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis15
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review15
Establishment of magnetocardiogromics platform with reference range for normal magnetocardiogram15
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study15
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose15
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography15
A new scoring system for risk stratification of thyroid tumors15
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction15
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer15
Fine-tuned lightweight language models for structured extraction of liver cancer imaging free-text report: a comparative analysis with existing large language models15
The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading15
Ensemble deep learning model for accurate assessment of renal fibrosis in chronic kidney disease using two-dimensional shear wave elastography images15
The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging14
Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography14
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT14
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection14
MRI study on hippocampal subfield volume loss and abnormal functional connectivity in patients with diabetic retinopathy14
Independent component analysis of brain network alterations associated with cognitive impairment in coal workers’ pneumoconiosis14
Shear wave elastography as a reliable tool in the prediction of renal histopathological abnormalities14
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma14
Diagnostic value of shear wave elastography for diabetic peripheral neuropathy: comparison between junior radiologists and senior radiologists14
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks14
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis14
Contrast-enhanced CT-based radiomics model explained by the Shapley Additive exPlanations (SHAP) method for predicting preoperative diagnosis of pheochromocytoma and adrenal adenoma14
T2 relaxation time of prostate measured at 5T: preliminary results in healthy adults14
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification14
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
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention14
MDPNet: a multi-scale difference perception network for esophageal cancer segmentation in CT images14
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics14
A comparative study of different types of connective tissue-associated interstitial lung disease13
Predicting mild cognitive impairment in patients with Parkinson’s disease by integrating striatal MRI radiomics with clinical features13
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding13
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
Comparison of biparameter and multiparameter MRI in detection of clinically significant prostate cancer across PSA stratifications13
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display13
A robust and data-efficient deep learning model for cardiac assessment without segmentation13
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency13
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study13
Diagnostic utility of cardiac magnetic resonance-derived myocardial strain and fractal analysis in differentiating left ventricular noncompaction from dilated cardiomyopathy13
An exploratory analysis of the utility of maximum degree of stenosis on computed tomography coronary angiography for predicting major adverse cardiac events13
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep lea13
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities13
Multiparametric MRI-based habitat analysis integrating deep learning and radiomics for predicting preoperative Ki-67 expression level in breast cancer13
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution13
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation13
Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18)13
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images13
2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma13
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality13
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules12
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes12
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease12
Bone age assessment: comparative analysis of Greulich-Pyle and Tanner-Whitehouse 3 by pediatric radiologists and endocrinologists12
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach12
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke12
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification12
A comparative assessment of age- and gender-related variations in brain morphometry using linear and volumetric MRI analysis12
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
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images12
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning12
ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet12
A multicenter study on preoperative WHO/ISUP grading of clear cell renal cell carcinoma using triphasic contrast-enhanced CT-based habitat imaging12
Neural networks with personalized training for improved MOLLI T1 mapping11
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma11
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer11
A new predictor of disease activity in Takayasu’s arteritis patients: pericarotid fat density11
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging11
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study11
Neuroimaging patterns of brain injury in children following near-drowning11
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
Accelerated muscle mass estimation from CT images through transfer learning11
Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study11
Enhancing mesenteric vascular imaging with dual-energy CTA: a comparison of DLIR and ASIR-V using low contrast agent and low radiation dose protocols11
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume11
Hypothalamic subunit atrophy and glymphatic dysfunction in idiopathic hypogonadotropic hypogonadism: associations with cognitive impairment11
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature11
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography11
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study11
Automated deep-learning quantification of intramuscular fat in lumbar spine muscles on dixon MRI: validation and normative reference values from 173 healthy adults10
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study10
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics10
Threshold growth has a limited role in differentiating hepatocellular carcinoma from other focal hepatic lesions10
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
Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis10
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features10
Sex differences and age-related changes of large-scale brain networks10
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium10
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features10
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer10
Consistency analysis of two US techniques for evaluating hepatic steatosis in patients with metabolic dysfunction-associated steatotic liver disease10
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma10
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma10
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis10
The impact of chest computed tomography-defined emphysema on extrapulmonary metastases in patients with lung cancer10
Predicting the biological behavior of cervical squamous cell carcinoma: a machine learning approach using apparent transverse relaxation rate (R2* maps) radiomics nomogram10
Imaging and clinical manifestations of hematogenous dissemination in melioidosis10
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma10
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study10
Spatially decoupled reliable mutual learning for semi-supervised medical image segmentation10
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study10
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis10
MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images10
Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer10
Multiparametric MRI approach identifies pathologic complete response in patients with local advanced rectal cancer after neoadjuvant therapy10
Evaluation of foreign bodies in the maxillofacial region with cone beam computed tomography and ultrasonography: an ex vivo 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
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images9
Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months9
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer9
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation9
Identification of SMAD4-mutated pancreatic ductal adenocarcinoma using preoperative contrast-enhanced MRI and clinical characteristics9
Abdominal fat volume predicts bone mass reduction in women with metabolic syndrome: an energy spectral CT analysis9
MR–CT image fusion method of intracranial tumors based on Res2Net9
Magnetic resonance imaging features of epididymal and/or testicular tuberculosis: a case series9
DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema9
Deep learning models for pulmonary embolism segmentation on dual-energy CT: performance analysis and image quality correlation9
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 thrombus9
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam9
Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment9
Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis9
Association of quantitative renal surface nodularity with the renal dysfunction progression in patients with arterial hypertension9
Value of CEUS features in diagnosing thyroid nodules with halo sign on B-mode ultrasound9
Diagnostic value of multiparametric MRI combined with an interpretable machine learning model in the differentiation of benign and malignant ovarian-adnexal lesions classified as O-RADS 49
Assessing deep learning accuracy in the measurement of radiographic parameters in pediatric hip X-rays9
A pilot and ex-vivo study of examination of endometrium tissue by catheter based optical coherence tomography9
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 images9
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study9
Association between non-alcoholic fatty liver disease and progression of abdominal aortic aneurysm: a multicenter study9
Relationship between MRI features and HIF-1α, GLUT1 and Ki-67 expression in pituitary adenoma with cystic degeneration9
Hippocampus segmentation after brain tumor resection via postoperative region synthesis9
Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging9
The feasibility of the radiomics models for tumor-infiltrating lymphocytes level prediction in breast cancer based on dynamic contrast-enhanced MRI9
Application of attenuation coefficient in the assessment of hepatic involvement in children and adolescents with Wilson’s disease9
Improved noninvasive diagnostic evaluations in treatment-naïve adrenocorticotropic hormone (ACTH)-dependent Cushing’s syndrome9
MRI-based machine learning models predict the malignant biological behavior of meningioma9
Impact of metal artifact reduction algorithm on gross tumor volume delineation in tonsillar cancer: reducing the interobserver variation9
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