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 2020-04-01 to 2024-04-01.)
ArticleCitations
Transfer learning for medical image classification: a literature review199
COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet143
Melanoma diagnosis using deep learning techniques on dermatoscopic images90
Universal adversarial attacks on deep neural networks for medical image classification73
A deep learning approach for dental implant planning in cone-beam computed tomography images70
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning67
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework61
An improved deep learning approach and its applications on colonic polyp images detection47
Deep semi-supervised learning for brain tumor classification43
A review on deep learning MRI reconstruction without fully sampled k-space40
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs34
Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging31
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning30
Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease28
Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images28
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma27
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images26
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome24
Accuracy of whole-body diffusion-weighted MRI (WB-DWI/MRI) in diagnosis, staging and follow-up of gastric cancer, in comparison to CT: a pilot study24
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models24
Diagnostic performance of ultrasonography, dual-phase 99mTc-MIBI scintigraphy, early and delayed 99mTc-MIBI SPECT/CT in preoperative parathyroid gland localization in secondary hyperparathyroidism23
Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis23
A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients23
The value of CT, MRI, and PET-CT in detecting retropharyngeal lymph node metastasis of head and neck squamous cell carcinoma22
Prospective evaluation of contrast-enhanced ultrasound of breast BI-RADS 3–5 lesions21
Diagnostic accuracy of CBCT versus intraoral imaging for assessment of peri‐implant bone defects21
Automated detection of pulmonary embolism from CT-angiograms using deep learning21
Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction20
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models20
Performance of TGSE BLADE DWI compared with RESOLVE DWI in the diagnosis of cholesteatoma20
WBC image classification and generative models based on convolutional neural network20
Dynamic changes of Chest CT follow-up in Coronavirus Disease-19 (COVID-19) pneumonia: relationship to clinical typing19
Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ18
Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhan18
The value of multimodality imaging in diagnosis and treatment of cardiac lipoma18
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT18
Cervical spine osteoradionecrosis or bone metastasis after radiotherapy for nasopharyngeal carcinoma? The MRI-based radiomics for characterization17
The role of MRI and clinicopathologic features in predicting the invasive component of biopsy-confirmed ductal carcinoma in situ16
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI16
Image and clinical analysis of common carotid web: a case report16
The utility of multi-stack alignment and 3D longitudinal image registration to assess bone remodeling in rheumatoid arthritis patients from second generation HR-pQCT scans16
Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma16
Standardized uptake values of 99mTc-MDP in normal vertebrae assessed using quantitative SPECT/CT for differentiation diagnosis of benign and malignant bone lesions16
Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study16
Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection15
Application of CareDose 4D combined with Karl 3D technology in the low dose computed tomography for the follow-up of COVID-1915
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features15
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning15
Coronary artery segmentation in angiographic videos utilizing spatial-temporal information15
Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging15
Coronary angiography video segmentation method for assisting cardiovascular disease interventional treatment15
The reporting quality of natural language processing studies: systematic review of studies of radiology reports15
Practical utility of liver segmentation methods in clinical surgeries and interventions15
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement15
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study15
MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas15
Comparison of BSGI, MRI, mammography, and ultrasound for the diagnosis of breast lesions and their correlations with specific molecular subtypes in Chinese women14
Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network14
Evaluation of liver function using liver parenchyma, spleen and portal vein signal intensities during the hepatobiliary phase in Gd-EOB-D TPA-enhanced MRI14
Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review14
A method for improving semantic segmentation using thermographic images in infants14
Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study14
Grading of Glioma: combined diagnostic value of amide proton transfer weighted, arterial spin labeling and diffusion weighted magnetic resonance imaging13
dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis13
Evaluating sensitivity and specificity of handheld point-of-care ultrasound testing for gynecologic pathology: a pilot study for use in low resource settings13
Impact of 18F-FDG PET/CT, CT and EBUS/TBNA on preoperative mediastinal nodal staging of NSCLC13
Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer13
A novel adaptive momentum method for medical image classification using convolutional neural network13
HBP-enhancing hepatocellular adenomas and how to discriminate them from FNH in Gd-EOB MRI12
Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review12
Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study12
Comparison of different CT metal artifact reduction strategies for standard titanium and carbon‐fiber reinforced polymer implants in sheep cadavers12
Patterns of use, effectiveness and safety of gadolinium contrast agents: a European prospective cross-sectional multicentre observational study12
Differential diagnosis between hepatic alveolar echinococcosis and intrahepatic cholangiocarcinoma with conventional ultrasound and contrast-enhanced ultrasound12
The usefulness of noninvasive liver stiffness assessment using shear-wave elastography for predicting liver fibrosis in children12
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification12
Three-stage segmentation of lung region from CT images using deep neural networks12
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks12
Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images12
Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor12
The role of 99mTc-MIBI SPECT/CT in patients with secondary hyperparathyroidism: comparison with 99mTc-MIBI planar scintigraphy and ultrasonography12
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia12
Comparison of the clinical and MRI features of patients with hepatic hemangioma, epithelioid hemangioendothelioma, or angiosarcoma12
Solitary vertebral metastatic glioblastoma in the absence of primary brain tumor relapse: a case report and literature review12
Comparison of three dimensional reconstruction and conventional computer tomography angiography in patients undergoing zero-ischemia laparoscopic partial nephrectomy11
Differentiation of soft tissue and bone sarcomas from benign lesions utilizing 18F-FDG PET/CT-derived parameters11
Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images11
Breast cancer and background parenchymal enhancement at breast magnetic resonance imaging: a meta-analysis11
Association of gestational age with MRI-based biometrics of brain development in fetuses11
The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset11
Feasibility study of using simultaneous multi-slice RESOLVE diffusion weighted imaging to assess parotid gland tumors: comparison with conventional RESOLVE diffusion weighted imaging11
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network11
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours11
Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis10
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults10
BPI-MVQA: a bi-branch model for medical visual question answering10
Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies10
Relationship between the temporal course of astrogliosis and symptom improvement in cerebral infarction: report of a case monitored using 18F-THK5351 positron emission tomography10
Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic10
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists10
Utility of FDG PET/CT for assessment of lung nodules identified during low dose computed tomography screening10
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer10
Value of CT and three-dimensional reconstruction revealing specific radiological signs for screening causative high jugular bulb in patients with Meniere’s disease10
Brain tumour segmentation based on an improved U-Net10
Interobserver variability in quality assessment of magnetic resonance images10
Value of T1 mapping on gadoxetic acid-enhanced MRI for microvascular invasion of hepatocellular carcinoma: a retrospective study10
Detection of parathyroid adenomas with multiphase 4DCT: towards a true four-dimensional technique10
Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism9
Prenatal diagnosis of a rare variant of harlequin ichthyosis with literature review9
Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning9
The application research of AI image recognition and processing technology in the early diagnosis of the COVID-199
Grading of IDH-mutant astrocytoma using diffusion, susceptibility and perfusion-weighted imaging9
Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v20179
Multimodel magnetic resonance imaging of mass-forming autoimmune pancreatitis: differential diagnosis with pancreatic ductal adenocarcinoma9
Improving the diagnosis of common parotid tumors via the combination of CT image biomarkers and clinical parameters9
Efficacy of ultrasonography and Tc-99m MIBI SPECT/CT in preoperative localization of parathyroid adenomas causing primary hyperthyroidism9
Findings in whole body MRI and conventional imaging in patients with fever of unknown origin-a retrospective study9
Moving a neodymium magnet promotes the migration of a magnetic tracer and increases the monitoring counts on the skin surface of sentinel lymph nodes in breast cancer9
Diagnosis of foetal vein of galen aneurysmal malformation by ultrasound combined with magnetic resonance imaging: a case series9
Intrinsic brain abnormalities of irritable bowel syndrome with diarrhea: a preliminary resting-state functional magnetic resonance imaging study8
Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study8
Imaging analysis of 13 rare cases of renal collecting (Bellini) duct carcinoma in northern China: a case series and literature review8
Deep transfer learning to quantify pleural effusion severity in chest X-rays8
Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging8
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics8
Breast MRI texture analysis for prediction of BRCA-associated genetic risk8
A deep learning framework for automated detection and quantitative assessment of liver trauma8
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis8
Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status8
Diagnostic value of magnetic resonance parametric mapping for non-invasive assessment of liver fibrosis in patients with primary sclerosing cholangitis8
Automated classification of polyps using deep learning architectures and few-shot learning8
Quantification of epicardial fat using 3D cine Dixon MRI8
Computed tomography colonography versus colonoscopy for detection of colorectal cancer: a diagnostic performance study8
Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusion8
A quantitative MRI index for assessing the severity of hippocampal sclerosis in temporal lobe epilepsy8
Predictive role of lymphoscintigraphy undergoing lymphovenous anastomosis in patients with lower extremity lymphedema: a preliminary study8
Fetal magnetic resonance imaging contributes to the diagnosis and treatment of meconium peritonitis8
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters8
Discriminative pattern of reduced cerebral blood flow in Parkinson’s disease and Parkinsonism-Plus syndrome: an ASL-MRI study8
Roles of contrast-enhanced ultrasonography in identifying volume change of benign thyroid nodule and optical time of secondary radiofrequency ablation8
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI8
Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques8
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy8
Retrospective accuracy analysis of MRI based lesion size measurement in neuroblastic tumors: which sequence should we choose?8
An evaluation of performance measures for arterial brain vessel segmentation8
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies7
Feasibility of pulmonary MRI for nodule detection in comparison to computed tomography7
The accuracy and influencing factors of Doppler echocardiography in estimating pulmonary artery systolic pressure: comparison with right heart catheterization: a retrospective cross-sectional study7
MRI whole-lesion texture analysis on ADC maps for the prognostic assessment of ischemic stroke7
An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring7
Reference range of fetal thorax using two-dimensional and three-dimensional ultrasound VOCAL technique and application in fetal thoracic malformations7
DNL-Net: deformed non-local neural network for blood vessel segmentation7
Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography7
Image quality of automatic coronary CT angiography reconstruction for patients with HR ≥ 75 bpm using an AI-assisted 16-cm z-coverage CT scanner7
Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study7
Clinical and ultrasonographic features of medullary thyroid microcarcinomas compared with papillary thyroid microcarcinomas: a retrospective analysis7
Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study7
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times7
Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function7
Volumetric accuracy of different imaging modalities in acute intracerebral hemorrhage7
Quantitative dynamic contrast-enhanced MR imaging can be used to predict the pathologic stages of oral tongue squamous cell carcinoma7
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer7
Motion artefact reduction in coronary CT angiography images with a deep learning method7
Sentinel lymph node mapping using ICG fluorescence and cone beam CT – a feasibility study in a rabbit model of oral cancer7
Aggregation-and-Attention Network for brain tumor segmentation7
Correlation and agreement between superb micro-vascular imaging and contrast-enhanced ultrasound for assessing radiofrequency ablation treatment of thyroid nodules: a preliminary study7
Micro-CT yields high image quality in human fetal post-mortem imaging despite maceration7
Differentiating malignant and benign necrotic lung lesions using kVp-switching dual-energy spectral computed tomography7
Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images6
The value of radiomics based on dual-energy CT for differentiating benign from malignant solitary pulmonary nodules6
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience6
Histogram analysis based on multi-parameter MR imaging as a biomarker to predict lymph node metastasis in T3 stage rectal cancer6
Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease6
Spatial frequency analysis detects altered tissue organization following hamstring strain injury at time of injury but not return to sport6
The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology6
Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images6
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging6
An MRI study of the tibial nerve in the ankle canal and its branches: a method of multiplanar reformation with 3D-FIESTA-C sequences6
Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia6
Correlation between spatial resolution and ball distortion rate of panoramic radiography6
Topology optimization search of deep convolution neural networks for CT and X-ray image classification6
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography6
A standardized approach for exact CT-based three-dimensional position analysis in the distal tibiofibular joint6
Aerodynamic characteristics in upper airways among orthodontic patients and its association with adenoid nasopharyngeal ratios in lateral cephalograms6
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images6
Predicting the expression level of Ki-67 in breast cancer using multi-modal ultrasound parameters6
An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer6
Clinical evaluation of deep learning–based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer6
Differentiation of brain metastases from small and non-small lung cancers using apparent diffusion coefficient (ADC) maps6
Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic cardiac magnetic resonance imaging6
T2 mapping for knee cartilage degeneration in young patients with mild symptoms6
The diagnostic value of Superb Microvascular Imaging in identifying benign tumors of parotid gland6
Myofibroma/myofibromatosis: MDCT and MR imaging findings in 24 patients with radiological-pathological correlation6
CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion6
Improved U-Net3+ with stage residual for brain tumor segmentation6
Cone beam computed tomographic analysis of the spatial limitation during mandibular arch distalization6
Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images5
Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans5
Unexpected radiation pneumonitis after SIRT with significant decrease in DLCO with internal radiation exposure: a case report5
Radiation exposure of a mobile 3D C-arm with large flat-panel detector for intraoperative imaging and navigation - an experimental study using an anthropomorphic Alderson phantom5
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults5
The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancer5
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease5
Impact of time of flight and point spread function on quantitative parameters of lung lesions in 18F-FDG PET/CT5
Rosai-Dorfman-Destombes (RDD) disease presenting as palindromic rheumatism5
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review5
Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study5
Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture5
18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma5
Assessing the inflammatory severity of the terminal ileum in Crohn disease using radiomics based on MRI5
A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images5
Re-evaluation of high-risk breast mammography lesions by target ultrasound and ABUS of breast non-mass-like lesions5
Imaging features and radiologic-pathologic correlations of inflammatory pseudotumor-like follicular dendritic cell sarcoma5
Diagnostic performance of standard breast MR imaging compared to dedicated axillary MR imaging in the evaluation of axillary lymph node5
Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer5
Magnetic resonance imaging of parotid gland tumors: a pictorial essay5
Comparison of test–retest reliability of BOLD and pCASL fMRI in a two-center study5
Frequency and anatomic variability of the mandibular lingual foramina: a cone-beam CT study5
A radiomic model to classify response to neoadjuvant chemotherapy in breast cancer5
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma5
A contour property based approach to segment nuclei in cervical cytology images5
Pulmonary vascular volume is associated with DLCO and fibrotic score in idiopathic pulmonary fibrosis: an observational study5
Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women5
Retroperitoneum ganglioneuroma: imaging features and surgical outcomes of 35 cases at a Chinese Institution5
Weighing features of lung and heart regions for thoracic disease classification5
Threshold estimation based on local minima for nucleus and cytoplasm segmentation5
Efficiency of dual-energy computed tomography enterography in the diagnosis of Crohn’s disease5
Performance of 18 F-FAPI PET/CT in assessing glioblastoma before radiotherapy: a pilot study5
Identify glioma recurrence and treatment effects with triple-tracer PET/CT5
Novel foetal echocardiographic image processing software (5D Heart) improves the display of key diagnostic elements in foetal echocardiography5
Comparison of bone single-photon emission computed tomography (SPECT)/CT and bone scintigraphy in assessing knee joints5
Left atrial minimal volume: association with diastolic dysfunction and heart failure in patients in sinus rhythm or atrial fibrillation with preserved ejection fraction5
Primary marginal zone B-cell lymphoma of the cavernous sinus: a case report and review of the literature5
Automatic exposure compensation in intraoral digital radiography: effect on the gray values of dental tissues5
SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial5
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET/CT5
Non-local means based Rician noise filtering for diffusion tensor and kurtosis imaging in human brain and spinal cord5
Differential diagnosis of gallbladder neoplastic polyps and cholesterol polyps with radiomics of dual modal ultrasound: a pilot study5
Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis5
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