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 2020-11-01 to 2024-11-01.)
ArticleCitations
Transfer learning for medical image classification: a literature review314
COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet157
Melanoma diagnosis using deep learning techniques on dermatoscopic images107
A deep learning approach for dental implant planning in cone-beam computed tomography images92
Universal adversarial attacks on deep neural networks for medical image classification82
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework80
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning69
A review on deep learning MRI reconstruction without fully sampled k-space53
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning51
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs46
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images34
Automated detection of pulmonary embolism from CT-angiograms using deep learning33
Practical utility of liver segmentation methods in clinical surgeries and interventions32
Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma30
Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review30
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models29
Diagnostic accuracy of CBCT versus intraoral imaging for assessment of peri‐implant bone defects27
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI27
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features27
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 study26
WBC image classification and generative models based on convolutional neural network25
Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ24
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning23
Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging22
Standardized uptake values of 99mTc-MDP in normal vertebrae assessed using quantitative SPECT/CT for differentiation diagnosis of benign and malignant bone lesions22
Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhan22
Automated classification of polyps using deep learning architectures and few-shot learning22
Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction21
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study21
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models21
Image and clinical analysis of common carotid web: a case report20
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT20
MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas19
Impact of 18F-FDG PET/CT, CT and EBUS/TBNA on preoperative mediastinal nodal staging of NSCLC19
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI19
Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection18
Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma18
The value of multimodality imaging in diagnosis and treatment of cardiac lipoma18
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement18
Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status17
Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network17
Brain tumour segmentation based on an improved U-Net17
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification17
A novel adaptive momentum method for medical image classification using convolutional neural network17
The reporting quality of natural language processing studies: systematic review of studies of radiology reports17
A method for improving semantic segmentation using thermographic images in infants16
Application of high-frequency ultrasound to assess facial skin thickness in association with gender, age, and BMI in healthy adults16
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks16
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists16
Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism16
Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer15
Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies15
Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study15
Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography15
Three-stage segmentation of lung region from CT images using deep neural networks15
Patterns of use, effectiveness and safety of gadolinium contrast agents: a European prospective cross-sectional multicentre observational study14
Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images14
The usefulness of noninvasive liver stiffness assessment using shear-wave elastography for predicting liver fibrosis in children14
BPI-MVQA: a bi-branch model for medical visual question answering14
A deep learning framework for automated detection and quantitative assessment of liver trauma14
Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review14
Grading of IDH-mutant astrocytoma using diffusion, susceptibility and perfusion-weighted imaging14
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network14
Diagnostic value of magnetic resonance parametric mapping for non-invasive assessment of liver fibrosis in patients with primary sclerosing cholangitis14
Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study14
dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis13
Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis13
Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study13
Deep transfer learning to quantify pleural effusion severity in chest X-rays13
HBP-enhancing hepatocellular adenomas and how to discriminate them from FNH in Gd-EOB MRI13
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours13
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images13
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study12
Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images12
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia12
Association of gestational age with MRI-based biometrics of brain development in fetuses12
Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning12
Breast cancer and background parenchymal enhancement at breast magnetic resonance imaging: a meta-analysis12
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer12
Detection of parathyroid adenomas with multiphase 4DCT: towards a true four-dimensional technique12
Assessing the inflammatory severity of the terminal ileum in Crohn disease using radiomics based on MRI12
Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic12
Improved U-Net3+ with stage residual for brain tumor segmentation12
Comparison of different CT metal artifact reduction strategies for standard titanium and carbon‐fiber reinforced polymer implants in sheep cadavers12
Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia11
Multimodel magnetic resonance imaging of mass-forming autoimmune pancreatitis: differential diagnosis with pancreatic ductal adenocarcinoma11
The application research of AI image recognition and processing technology in the early diagnosis of the COVID-1911
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy11
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis11
Aggregation-and-Attention Network for brain tumor segmentation11
The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset11
T2 mapping for knee cartilage degeneration in young patients with mild symptoms10
A radiomic model to classify response to neoadjuvant chemotherapy in breast cancer10
Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function10
An evaluation of performance measures for arterial brain vessel segmentation10
Image quality of automatic coronary CT angiography reconstruction for patients with HR ≥ 75 bpm using an AI-assisted 16-cm z-coverage CT scanner10
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters10
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma10
Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging10
Magnetic resonance imaging of parotid gland tumors: a pictorial essay10
Motion artefact reduction in coronary CT angiography images with a deep learning method10
DNL-Net: deformed non-local neural network for blood vessel segmentation10
Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v201710
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 study9
MRI whole-lesion texture analysis on ADC maps for the prognostic assessment of ischemic stroke9
Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture9
An MRI study of the tibial nerve in the ankle canal and its branches: a method of multiplanar reformation with 3D-FIESTA-C sequences9
Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study9
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience9
The accuracy and influencing factors of Doppler echocardiography in estimating pulmonary artery systolic pressure: comparison with right heart catheterization: a retrospective cross-sectional study9
Imaging analysis of 13 rare cases of renal collecting (Bellini) duct carcinoma in northern China: a case series and literature review9
Assessment of safety margin after microwave ablation of stage I NSCLC with three-dimensional reconstruction technique using CT imaging9
Correlation and agreement between superb micro-vascular imaging and contrast-enhanced ultrasound for assessing radiofrequency ablation treatment of thyroid nodules: a preliminary study9
Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques9
Prenatal diagnosis of a rare variant of harlequin ichthyosis with literature review9
Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease9
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography9
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review9
18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma9
Reference range of fetal thorax using two-dimensional and three-dimensional ultrasound VOCAL technique and application in fetal thoracic malformations9
Efficacy of ultrasonography and Tc-99m MIBI SPECT/CT in preoperative localization of parathyroid adenomas causing primary hyperthyroidism9
Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusion9
The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancer9
Intrinsic brain abnormalities of irritable bowel syndrome with diarrhea: a preliminary resting-state functional magnetic resonance imaging study8
MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network8
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET/CT8
The value of radiomics based on dual-energy CT for differentiating benign from malignant solitary pulmonary nodules8
Performance of 18 F-FAPI PET/CT in assessing glioblastoma before radiotherapy: a pilot study8
Volumetric accuracy of different imaging modalities in acute intracerebral hemorrhage8
Differential diagnosis of gallbladder neoplastic polyps and cholesterol polyps with radiomics of dual modal ultrasound: a pilot study8
The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology8
An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring8
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times8
Predictive role of lymphoscintigraphy undergoing lymphovenous anastomosis in patients with lower extremity lymphedema: a preliminary study8
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review8
Feasibility of contrast-enhanced ultrasonography (CEUS) in evaluating renal microvascular perfusion in pediatric patients8
Tile-based microscopic image processing for malaria screening using a deep learning approach8
Differentiating malignant and benign necrotic lung lesions using kVp-switching dual-energy spectral computed tomography8
An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices8
Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study7
Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT7
An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer7
Influence of gender on diaphragm thickness using a method for determining intima media thickness in healthy young adults7
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies7
Correlative analysis of lung CT findings in patients with Birt–Hogg–Dubé Syndrome and the occurrence of spontaneous pneumothorax: a preliminary study7
Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic cardiac magnetic resonance imaging7
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer7
UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients7
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 cancer7
Contrast-enhanced ultrasound improves the potency of fine-needle aspiration in thyroid nodules with high inadequate risk7
Micro-CT yields high image quality in human fetal post-mortem imaging despite maceration7
Diagnostic efficacy of cone-beam computed tomography for detection of vertical root fractures in endodontically treated teeth: a systematic review7
Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer7
RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study7
Histogram analysis based on multi-parameter MR imaging as a biomarker to predict lymph node metastasis in T3 stage rectal cancer7
Grayscale medical image segmentation method based on 2D&3D object detection with deep learning7
Spatial frequency analysis detects altered tissue organization following hamstring strain injury at time of injury but not return to sport7
Predicting the expression level of Ki-67 in breast cancer using multi-modal ultrasound parameters7
A contour property based approach to segment nuclei in cervical cytology images7
Clinical evaluation of deep learning–based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer7
COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images7
A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images7
Differentiation of brain metastases from small and non-small lung cancers using apparent diffusion coefficient (ADC) maps7
Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women7
Adult Computed Tomography examinations in Uganda: Towards determining the National Diagnostic Reference Levels7
Impact of time of flight and point spread function on quantitative parameters of lung lesions in 18F-FDG PET/CT7
Research on imbalance machine learning methods for MR$$T_1$$WI soft tissue sarcoma data7
CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion7
Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors6
Ultrasound-based radiomics for predicting different pathological subtypes of epithelial ovarian cancer before surgery6
Automated total and vessel-specific coronary artery calcium (CAC) quantification on chest CT: direct comparison with CAC scoring on non-contrast cardiac CT6
Morphological study of the vastus medialis oblique in recurrent patellar dislocation based on magnetic resonance images6
Imaging features of skeletal muscle lymphoma: a case report and literature review6
3D variable flip angle T1 mapping for differentiating benign and malignant liver lesions at 3T: comparison with diffusion weighted imaging6
A novel radiomics based on multi-parametric magnetic resonance imaging for predicting Ki-67 expression in rectal cancer: a multicenter study6
Pulmonary vascular volume is associated with DLCO and fibrotic score in idiopathic pulmonary fibrosis: an observational study6
Retroperitoneum ganglioneuroma: imaging features and surgical outcomes of 35 cases at a Chinese Institution6
A hybrid deep CNN model for brain tumor image multi-classification6
[18F]FDG PET/CT in head and neck squamous cell carcinoma: a head-to-head between visual point-scales and the added value of multi-modality imaging6
Frequency and anatomic variability of the mandibular lingual foramina: a cone-beam CT study6
External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans6
Comparison of prenatal ultrasound with MRI in the evaluation and prediction of fetal orofacial clefts6
Lung nodule pre-diagnosis and insertion path planning for chest CT images6
Combined model of radiomics, clinical, and imaging features for differentiating focal pneumonia-like lung cancer from pulmonary inflammatory lesions: an exploratory study6
Development and performance evaluation of a deep learning lung nodule detection system6
Identify glioma recurrence and treatment effects with triple-tracer PET/CT6
Aerodynamic characteristics in upper airways among orthodontic patients and its association with adenoid nasopharyngeal ratios in lateral cephalograms6
Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans6
Value assessment of artificial intelligence in medical imaging: a scoping review6
Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction6
Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images6
Weighing features of lung and heart regions for thoracic disease classification6
Measurement of epicardial adipose tissue using non-contrast routine chest-CT: a consideration of threshold adjustment for fatty attenuation6
Left atrial minimal volume: association with diastolic dysfunction and heart failure in patients in sinus rhythm or atrial fibrillation with preserved ejection fraction6
A standardized approach for exact CT-based three-dimensional position analysis in the distal tibiofibular joint6
Primary marginal zone B-cell lymphoma of the cavernous sinus: a case report and review of the literature6
Multimodal ultrasound features of breast cancers: correlation with molecular subtypes6
Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images6
Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions6
Imaging features and radiologic-pathologic correlations of inflammatory pseudotumor-like follicular dendritic cell sarcoma6
Automated cervical cell segmentation using deep ensemble learning6
Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study6
Evaluating renal iron overload in diabetes mellitus by blood oxygen level-dependent magnetic resonance imaging: a longitudinal experimental study6
Reinforcement learning using Deep $$Q$$ networks and $$Q$$ learning accurately localizes brain tumors on MRI with very small training sets6
Efficiency of dual-energy computed tomography enterography in the diagnosis of Crohn’s disease6
Topology optimization search of deep convolution neural networks for CT and X-ray image classification6
Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network6
Comparison of test–retest reliability of BOLD and pCASL fMRI in a two-center study6
Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study5
Correlations between apparent diffusion coefficient values of WB-DWI and clinical parameters in multiple myeloma5
Non-local means based Rician noise filtering for diffusion tensor and kurtosis imaging in human brain and spinal cord5
Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis5
Utility of diffusion weighted imaging-based radiomics nomogram to predict pelvic lymph nodes metastasis in prostate cancer5
Medical image diagnosis based on adaptive Hybrid Quantum CNN5
Compressed sensing based dynamic MR image reconstruction by using 3D-total generalized variation and tensor decomposition: k-t TGV-TD5
Ultra-short echo time MR imaging in assessing cartilage endplate damage and relationship between its lesion and disc degeneration for chronic low back pain patients5
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease5
Comparison of bone single-photon emission computed tomography (SPECT)/CT and bone scintigraphy in assessing knee joints5
Rosai-Dorfman-Destombes (RDD) disease presenting as palindromic rheumatism5
Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features5
Microvascular invasion risk scores affect the estimation of early recurrence after resection in patients with hepatocellular carcinoma: a retrospective study5
SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial5
Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T5
Lesion probability mapping in MS patients using a regression network on MR fingerprinting5
Validation of PET/MRI attenuation correction methodology in the study of brain tumours5
Threshold estimation based on local minima for nucleus and cytoplasm segmentation5
Re-evaluation of high-risk breast mammography lesions by target ultrasound and ABUS of breast non-mass-like lesions5
A PET imaging study of the brain changes of glucose metabolism in patients with temporal lobe epilepsy and depressive disorder5
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images5
Automatic exposure compensation in intraoral digital radiography: effect on the gray values of dental tissues5
Comparison of automated segmentation techniques for magnetic resonance images of the prostate5
Brain activation patterns in medicated versus medication-naïve adults with attention-deficit hyperactivity disorder during fMRI tasks of motor inhibition and cognitive switching5
High throughput method for detecting murine brain atrophy using a clinical 3T MRI5
Monitoring the efficacy of tumor necrosis factor alpha antagonists in the treatment of Ankylosing spondylarthritis: a pilot study based on MR relaxometry technique5
Using contrast-enhanced ultrasonography to assess the degree of acute testicular torsion: a case series5
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis5
The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer5
Evaluation of liver fibrosis in chronic hepatitis B patients with 2D shear wave elastography with propagation map guidance: a single-centre study5
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes5
Reproducibility and feasibility of optic nerve diffusion MRI techniques: single-shot echo-planar imaging (EPI), readout-segmented EPI, and reduced field-of-view diffusion-weighted imaging5
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention5
Analysis of the value of enhanced CT combined with texture analysis in the differential diagnosis of pulmonary sclerosing pneumocytoma and atypical peripheral lung cancer: a feasibility study5
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