BMC Medical Imaging

Papers
(The TQCC of BMC Medical Imaging is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors485
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques121
The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma98
Threshold estimation based on local minima for nucleus and cytoplasm segmentation88
The suitability of panoramic radiographs for clinical decision making regarding root angulation compared to cone-beam computed tomography68
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review58
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium55
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images49
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses47
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy47
Assessment of Canalis Sinuosus located in maxillary anterior region by using cone beam computed tomography: a retrospective study36
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults34
Segmentation for mammography classification utilizing deep convolutional neural network33
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy33
Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features32
Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions31
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training31
A systematic literature review: exploring the challenges of ensemble model for medical imaging30
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning28
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 o27
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease27
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer27
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status27
Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia26
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review24
Evaluation of the stiffness of normal cervix and its change with different factors using transvaginal two-dimensional shear wave elastography under strict quality control24
A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge24
Dedicated neuroimaging analysis in children with primary headaches: prevalence of lesions and a comparison between patients with and without migraines24
Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment24
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients23
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer22
A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis21
The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma21
Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease21
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer’s disease diagnosis20
Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study20
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma20
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis19
High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer19
Correction to: Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study19
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 features19
Langerhans cell histiocytosis in children: the value of ultrasound in diagnosis and follow-up19
The impact of cardiopulmonary hemodynamic factors in volumetry for pulmonary nodule management19
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images18
Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging18
Efficacy of ultrasonography and Tc-99m MIBI SPECT/CT in preoperative localization of parathyroid adenomas causing primary hyperthyroidism18
High throughput method for detecting murine brain atrophy using a clinical 3T MRI17
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT17
Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis17
Comparison of time consumption and success rate between CT angiography- and CT perfusion- based imaging assessment strategy for the patients with acute ischemic stroke17
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification17
BPI-MVQA: a bi-branch model for medical visual question answering16
Signal and morphological changes in the endolymph of patients with vestibular schwannoma on non-contrast 3D FLAIR at 3 Tesla16
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer16
Clinical and imaging characteristics of patients with bronchogenic cysts: a single-center retrospective analysis15
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma15
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma15
Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT15
Value assessment of artificial intelligence in medical imaging: a scoping review15
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study15
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma15
Incidental extraspinal imaging findings on adult EOS full body radiographs: prevalence and clinical importance15
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET/CT14
Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study14
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/CT14
Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study14
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma14
Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion14
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience14
Evaluation of computed tomography settings in the context of visualization and discrimination of low dose injections of a novel liquid soft tissue fiducial marker in head and neck imaging14
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase14
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 cancer14
Effectiveness and safety of ultrasound-guided percutaneous microwave ablation for hepatic alveolar echinococcosis13
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma13
Aggregation-and-Attention Network for brain tumor segmentation13
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images13
A review on deep learning MRI reconstruction without fully sampled k-space13
A practical biphasic contrast media injection protocol strongly enhances the aorta and pulmonary artery simultaneously using a single CT angiography scan13
Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer13
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding12
HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification12
Is there structural change on MRI in gluteal tendinopathy after treatment? Single outcome measure extension of an RCT12
Development and validation of a CT-based radiomic nomogram for predicting surgical resection risk in patients with adhesive small bowel obstruction12
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 cancer12
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks12
Correction: Value assessment of artificial intelligence in medical imaging: a scoping review12
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning12
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma12
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis12
Malignancy risk of thyroid nodules: quality assessment of the thyroid ultrasound report12
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation12
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics12
A new scoring system for risk stratification of thyroid tumors11
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention11
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults11
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities11
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions11
Quantifying anterior segment vascular changes in thyroid eye disease using optical coherence tomography angiography11
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection11
GACDN: generative adversarial feature completion and diagnosis network for COVID-1911
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement11
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study11
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach11
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning11
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution10
Comparison of test–retest reliability of BOLD and pCASL fMRI in a two-center study10
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules10
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature10
Changes of [18F]FDG-PET/CT quantitative parameters in tumor lesions by the Bayesian penalized-likelihood PET reconstruction algorithm and its influencing factors10
Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes10
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes10
Structured reporting of gliomas based on VASARI criteria to improve report content and consistency10
Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality10
Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume10
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification10
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images10
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep lea10
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach10
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display10
Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA10
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke10
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease10
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer10
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
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images10
A comparative study of different types of connective tissue-associated interstitial lung disease10
Grayscale medical image segmentation method based on 2D&3D object detection with deep learning10
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease10
Threshold growth has a limited role in differentiating hepatocellular carcinoma from other focal hepatic lesions9
Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer9
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium9
Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics9
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study9
Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm9
Weighing features of lung and heart regions for thoracic disease classification9
Imaging and clinical manifestations of hematogenous dissemination in melioidosis9
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis9
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features9
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma9
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography9
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer9
The role of MRI in the diagnosis and management of tracheal diverticulum9
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam9
Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study9
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features9
Magnetic resonance imaging-guided lumbar nerve root infiltrations: optimization of an in-house protocol9
Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study9
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma9
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma9
Accelerated muscle mass estimation from CT images through transfer learning9
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis8
Spectral CT - a new supplementary method for preoperative assessment of pathological grades of esophageal squamous cell carcinoma8
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study8
Hippocampus segmentation after brain tumor resection via postoperative region synthesis8
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis8
DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema8
Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model8
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis8
The value of enhanced multiparameteric MRI diagnostic model for preoperatively predicting surgical methods of inferior vena cava in patients with renal tumors and inferior vena cava tumor thrombus8
Analysis of vascularization in thyroid gland nodes with superb microvascular imaging (SMI) and CD34 expression histology: a pilot study8
Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors’ subjective judgment8
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study8
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer8
Impact of metal artifact reduction algorithm on gross tumor volume delineation in tonsillar cancer: reducing the interobserver variation8
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images8
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study8
Identification of SMAD4-mutated pancreatic ductal adenocarcinoma using preoperative contrast-enhanced MRI and clinical characteristics8
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer8
Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study8
Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging8
Consistency analysis of two US techniques for evaluating hepatic steatosis in patients with metabolic dysfunction-associated steatotic liver disease8
Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound8
Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging8
Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia7
The value of MRI for downgrading of breast suspicious lesions detected on ultrasound7
AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation7
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 images7
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation7
MRI-based machine learning models predict the malignant biological behavior of meningioma7
Exploration of CT-based discrimination and diagnosis of various pathological types of ground glass nodules in the lungs7
Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism7
Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors7
Application of attenuation coefficient in the assessment of hepatic involvement in children and adolescents with Wilson’s disease7
A pilot and ex-vivo study of examination of endometrium tissue by catheter based optical coherence tomography7
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 s7
Value of CEUS features in diagnosing thyroid nodules with halo sign on B-mode ultrasound7
Association between non-alcoholic fatty liver disease and progression of abdominal aortic aneurysm: a multicenter study7
MR–CT image fusion method of intracranial tumors based on Res2Net7
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study7
Relationship between MRI features and HIF-1α, GLUT1 and Ki-67 expression in pituitary adenoma with cystic degeneration7
Liver fibrosis stage classification in stacked microvascular images based on deep learning7
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model7
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor7
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography7
Comparison of pointwise encoding time reduction with radial acquisition (PETRA) imaging with conventional MR imaging for the diagnosis of traumatic fractures in children6
Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens6
An analysis of the correlation between diabetic retinopathy and preretinal oxygen tension using three-dimensional spoiled gradient-recalled echo sequence imaging6
Correction: Differential diagnosis and feature visualization for thyroid nodules using computer-aided ultrasonic diagnosis system: initial clinical assessment6
Assessment of postpartum haemorrhage for placenta accreta: Is measurement of myometrium thickness and dark intraplacental bands using MRI helpful?6
Estimate of the hydraulic force in the aging heart: a cardiovascular magnetic resonance imaging study6
Utilizing CT imaging for evaluating late gastrointestinal tract side effects of radiotherapy in uterine cervical cancer: a risk regression analysis6
Magnetic resonance imaging findings among young adults with low back pain at Nsambya hospital6
Magnetic resonance imaging findings in Ghanaian patients presenting with low back pain: a single centre study6
An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer6
Spatial attention-based CSR-Unet framework for subdural and epidural hemorrhage segmentation and classification using CT images6
Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction6
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning6
Multimodal magnetic resonance imaging in the diagnosis of cervical cancer and its correlation with the differentiation process of cervical cancer6
A novel technique using ultrasonography in upper airway management after anterior cervical decompression and fusion6
Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review6
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis6
Correction: The BCPM method: decoding breast cancer with machine learning6
Contrast enhancement boost improves the image quality of CT angiography derived from 80-kVp cerebral CT perfusion data6
18F-FDG-PET/CT in relapsed multiple myeloma: Are prognostic thresholds different from first-line therapy?6
Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction6
Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study6
Extracellular volume-guided late gadolinium enhancement analysis for non-ischemic cardiomyopathy: The Women’s Interagency HIV Study6
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network6
Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease6
Correction to: Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v26
Nomogram for the preoperative prediction of Ki-67 expression and prognosis in stage IA lung adenocarcinoma based on clinical and multi-slice spiral computed tomography features6
Trends in CT examination utilization in the emergency department during and after the COVID-19 pandemic6
Classification of cognitive ability of healthy older individuals using resting-state functional connectivity magnetic resonance imaging and an extreme learning machine6
Evaluating the consistency in different methods for measuring left atrium diameters6
COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images6
Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam6
Low-dose whole-spine imaging using slot-scan digital radiography: a phantom study6
In vitro detection of cancer cells using a novel fluorescent choline derivative6
Novel transfer learning based bone fracture detection using radiographic images6
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times6
Three-stage segmentation of lung region from CT images using deep neural networks6
Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer6
Location-specific pathology analysis of monopodial airways in a rabbit model of bronchopulmonary dysplasia: a proof of principle study6
Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study6
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images5
The role of pre-treatment and mid-treatment 18F-FDG PET/CT imaging in evaluating prognosis of peripheral T-cell lymphoma-not otherwise specified (PTCL-NOS)5
Right and left ventricular function and flow quantification in pediatric patients with repaired tetralogy of Fallot using four-dimensional flow magnetic resonance imaging5
Development of optimised protocols for paediatric whole-body computed tomography examinations: a figure-of-merit approach5
A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography5
Comparison of ASL and DSC perfusion methods in the evaluation of response to treatment in patients with a history of treatment for malignant brain tumor5
3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion5
Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging5
Automated classification of liver fibrosis stages using ultrasound imaging5
Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters5
Unenhanced CT-based predictive model to identify small bowel necrosis in patients with mechanical small bowel obstruction5
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters5
Evaluation of the intramammary distribution of breast lesions detected by MRI but not conventional second-look B-mode ultrasound using an MRI/ultrasound fusion technique5
Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors5
Diagnostic significance of ultrasound characteristics in discriminating follicular thyroid carcinoma from adenoma5
WBC image classification and generative models based on convolutional neural network5
0.17317914962769