Hepatic fibrosis: evaluation with semiquantitative contrast-enhanced CT
CT hepatic perfusion measurement: comparison of three analytic methods
Noninvasive in vivo quantitative assessment of fat content in human liver
Quantitative characterization of hepatocellular carcinoma and metastatic liver tumor by CT perfusion
Imaging-based quantification of hepatic fat: methods and clinical applications
Early changes in liver perfusion caused by occult metastases in rats: detection with quantitative CT
Hepatic volume estimation using quantitative computed tomography in dogs with portosystemic shunts
Quantification of liver fat content with CT and MRI: state of the art
Quantitative analysis of hepatic macro‐and microvascular alterations during cirrhogenesis in the rat
Quantitative assessment of hepatic function and its relevance to the liver surgeon
Comparison of CT methods for determining the fat content of the liver
Quantitative diagnosis of fatty liver with dual-energy CT: an experimental study in rabbits
Diffuse liver disease: strategies for hepatic CT and MR imaging
CT texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis C virus
Quantitative sonographic image analysis for hepatic nodules: a pilot study
Assessment of hepatic steatosis in nonalcoholic fatty liver disease by using quantitative US
Quantitative evaluation of diffusion-weighted magnetic resonance imaging of focal hepatic lesions
Preoperative radiographic assessment of hepatic steatosis with histologic correlation
Assessment of hepatic functional reserve by cirrhosis grading and liver volume measurement using CT
AE hepatic lesions: correlation between calcifications at CT and FDG-PET/CT metabolic activity
A quantitative method for estimating hepatic blood flow using a dual-input single-compartment model
Texture analysis of the liver at MDCT for assessing hepatic fibrosis
Quantitative analysis of respiration-related movement for abdominal artery in multiphase hepatic CT
Using texture analyses of contrast enhanced CT to assess hepatic fibrosis
Hepatic Fat Fraction: MR Imaging for Quantitative Measurement and Display—Early Experience1
Quantitative perfusion map of malignant liver tumors, created from dynamic computed tomography data1
Spectral CT in patients with small HCC: investigation of image quality and diagnostic accuracy
Hepatic perfusion changes in an experimental model of acute pancreatitis: evaluation by perfusion CT
A prognostic model of acute-on-chronic liver failure based on sarcopenia
Comparison of CT methods for determining the fat content of the liver
Quantification of liver fat content with CT and MRI: state of the art
Liver fat imaging—a clinical overview of ultrasound, CT, and MR imaging
Hepatic steatosis (fatty liver disease) in asymptomatic adults identified by unenhanced low-dose CT
Assessment of liver fat: dual-energy CT versus conventional CT with and without contrast
Dual-energy computed tomography of the liver: uses in clinical practices and applications
Treatment of NAFLD with diet, physical activity and exercise
Texture analysis of the liver at MDCT for assessing hepatic fibrosis
Comparison of CT methods for determining the fat content of the liver
Quantification of liver surface nodularity at CT: utility for detection of portal hypertension
Hepatic steatosis (fatty liver disease) in asymptomatic adults identified by unenhanced low-dose CT
Imaging-based quantification of hepatic fat: methods and clinical applications
CT volume measurement for prognostic evaluation of unresectable hepatocellular carcinoma after TACE
Liver surface nodularity score allows prediction of cirrhosis decompensation and death
Quantification of liver surface nodularity at CT: utility for detection of portal hypertension
CT texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis C virus
Classification of multiple diseases on body CT scans using weakly supervised deep learning
Quantification of liver fat content with CT and MRI: state of the art
Passive hepatic congestion in heart failure: CT abnormalities
Analysis of computed tomography density of liver before and after amiodarone administration
Noninvasive tests used in risk stratification of patients with nonalcoholic fatty liver disease
Noninvasive Quantitative CT for Diffuse Liver Diseases: Steatosis, Iron Overload, and Fibrosis
CT texture analysis in nonalcoholic fatty liver disease (NAFLD)
CT texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis C virus
Texture analysis of the liver at MDCT for assessing hepatic fibrosis
Using texture analyses of contrast enhanced CT to assess hepatic fibrosis
In search of biologic correlates for liver texture on portal-phase CT
Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis
CT texture analysis in nonalcoholic fatty liver disease (NAFLD)
Utility of texture analysis for quantifying hepatic fibrosis on proton density MRI
Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection
Dynamic contrast-enhanced texture analysis of the liver: initial assessment in colorectal cancer
Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease
CT texture analysis: definitions, applications, biologic correlates, and challenges
ed quantification of hepatic fat: methods and clinical applications
Neural network based texture analysis of CT images for fatty and cirrhosis liver classification
Application of texture analysis on parametric T1 and T2 maps for detection of hepatic fibrosis
CT texture analysis of abdominal lesions–part I.: liver lesions
Radiofrequency ablation of HCC: CT texture analysis of the ablated area to predict local recurrence
Variation in textural parameters of hepatic lesions during contrast medium injection
Hepatic fibrosis: evaluation with semiquantitative contrast-enhanced CT
Retrospective CT/MRI texture analysis of rapidly progressive hepatocellular carcinoma
Diffuse liver disease: strategies for hepatic CT and MR imaging
CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease
Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis
Quantitative CT texture analysis for evaluating histologic grade of urothelial carcinoma
Automated quantification of ultrasonic fatty liver texture based on curvelet transform and SVD
Reproducibility of CT and MRI texture features of hepatocellular carcinoma
Deep convolutional neural network based analysis of liver tissues using computed tomography images
Automated CT analysis of body composition as a frailty biomarker in abdominal surgery
CT analysis of thoracolumbar body composition for estimating whole-body composition
Beyond BMI: An opinion on the clinical value of AI-powered CT body composition analysis
Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study
Automated abdominal segmentation of CT scans for body composition analysis using deep learning
Single-slice CT measurements allow for accurate assessment of sarcopenia and body composition
CT analysis of thoracolumbar body composition for estimating whole-body composition
Body composition in chemotherapy: the promising role of CT scans
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
Body composition measurement using computed tomography: does the phase of the scan matter?
Advanced body composition assessment: from body mass index to body composition profiling
Artificial intelligence-aided CT segmentation for body composition analysis: a validation study
The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients
Computed tomography–based body composition analysis and its role in lung cancer care
Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis
Age changes in body composition revealed by computed tomography
Validation study of a new semi-automated software program for CT body composition analysis
Body composition determinants of radiation dose during abdominopelvic CT
Automated CT-based body composition analysis: a golden opportunity
Two-dimensional CT measurements enable assessment of body composition on head and neck CT
Automated extraction of body composition metrics from abdominal CT or MR imaging: A scoping review
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis
Automated CT analysis of body composition as a frailty biomarker in abdominal surgery
CT-defined body composition as a prognostic factor in multiple myeloma
Automatic segmentation of CT images for ventral body composition analysis
Nutritional status, CT body composition measures and survival in ovarian cancer
Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study
Whole-body adipose tissue analysis: comparison of MRI, CT and dual energy X-ray absorptiometry
Comparative investigation of body composition in male dogs using CT and body fat analysis software
CT-derived body composition associated with lung cancer recurrence after surgery
Quantitative CT: associations between emphysema, airway wall thickness and body composition in COPD
CT-derived body composition is a predictor of survival after esophagectomy
Assessment of acute pancreatitis severity and prognosis with CT-measured body composition
A tale of two CT studies: the combined impact of multiple human body composition projects in cancer
Comparative study of the body composition of different turkey genotypes by means of CT
Extending the value of routine lung screening CT with quantitative body composition assessment
Autonomous localization and segmentation for body composition quantization on abdominal CT
Automated characterization of body composition and frailty with clinically acquired CT
Perioperative Evaluation of CT-Based Body Composition as Predictors of Postoperative Outcome
Body composition analysis on chest CT scans: a value proposition for lung cancer care
Body mass index in male patients with COPD: correlation with low attenuation areas on CT
Measuring leg muscle and fat mass in humans: comparison of CT and dual-energy X-ray absorptiometry
Improved muscle and fat segmentation for body composition measures on quantitative CT
A systematic review on software tools for CT-and MRI-based body composition analysis
Comparison of Different Body Size Parameters for Individual Dose Adaptation in Body CT of Adults1
Genetic gain on body composition in pigs by computed tomography (CT): return on investment
Abdominal CT-Based Body Composition Biomarkers for Phenotypic Biologic Aging
Human body composition and the epidemiology of chronic disease
Anthropometric assessment of 10-y changes in body composition in the elderly
Comparative study of deep learning segmentation models for body composition analysis in CT Scans
Characterization of urinary stone composition by use of whole-body, photon-counting detector CT
Adipose tissue density on CT as a prognostic factor in patients with cancer: a systematic review
Whole-body adipose tissue analysis: comparison of MRI, CT and dual energy X-ray absorptiometry
Adipose tissue quantification by imaging methods: a proposed classification
Imaging and identification of brown adipose tissue on CT scan
Significance of acquisition parameters for adipose tissue segmentation on CT images
Identification and importance of brown adipose tissue in adult humans
Deep learning for quantification of epicardial and thoracic adipose tissue from non-contrast CT
Adipose tissue detected by multislice computed tomography in patients after myocardial infarction
Fully automated CT quantification of epicardial adipose tissue by deep learning: a multicenter study
Characterizing active and inactive brown adipose tissue in adult humans using PET-CT and MR imaging
The emerging role of CT-based imaging in adipose tissue and coronary inflammation
Preliminary investigation of brown adipose tissue assessed by PET/CT and cancer activity
CT-derived epicardial adipose tissue density: Systematic review and meta-analysis
Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis
Automatic segmentation and quantification of white and brown adipose tissues from PET/CT scans
Determination of total adipose tissue and body fat in women by computed tomography, 40K, and tritium
Adipose tissue composition determines its computed tomography radiodensity
Brown adipose tissue: distribution and influencing factors on FDG PET/CT scan.
A pilot study of FDG PET/CT detects a link between brown adipose tissue and breast cancer
Pericoronary adipose tissue CT attenuation in coronary artery plaque inflammation
Non‐invasive methods for the assessment of brown adipose tissue in humans
An automated algorithm to identify and quantify brown adipose tissue in human 18F‐FDG‐PET/CT scans
Attention ghostunet++: Enhanced segmentation of adipose tissue and liver in ct images
Visualization of brown adipose tissue with 99mTc-methoxyisobutylisonitrile on SPECT/CT
CT attenuation of periaortic adipose tissue in abdominal aortic aneurysms
Unequivocal identification of brown adipose tissue in a human infant
CT‐measured skeletal muscle mass used to assess frailty in patients with head and neck cancer
Automated CT analysis of body composition as a frailty biomarker in abdominal surgery
Automated characterization of body composition and frailty with clinically acquired CT
Association of CT-derived skeletal muscle and adipose tissue metrics with frailty in older adults
Frailty and mortality in hospitalized older adults with COVID-19: retrospective observational study
Screening for Sarcopenia (Physical Frailty) in the COVID‐19 Era
Prognostic implications of diagnosing frailty and sarcopenia in vascular surgery practice
Evaluation of CT in identifying colorectal carcinoma in the frail and disabled patient
CT derived muscle measures, inflammation, and frailty in a cohort of older cancer patients
Sleep–wake disturbances and frailty in community‐living older persons
The association between dehydroepiandosterone and frailty in older men and women
Frailty and subclinical coronary atherosclerosis: the Multicenter AIDS Cohort Study (MACS)
Frailty is associated with myosteatosis in obese patients with colorectal cancer
Total muscle area and visceral adipose tissue measurements for frailty assessment in TAVR patients
Frailty reduces penumbral volumes and attenuates treatment response in hyperacute ischemic stroke
Psoas muscle size as a frailty measure for open and transcatheter aortic valve replacement
Imaging markers of small vessel disease and brain frailty, and outcomes in acute stroke
Radiological features for frailty assessment in patients requiring emergency laparotomy
Assessment of frailty prior to TAVI: Can it now be measured objectively?
Sarcopenia and frailty in patients undergoing transcatheter aortic valve replacement
Colorectal cancer is reliably excluded in the frail and elderly population by minimal preparation CT
The scope of CT in investigating iron deficiency anaemia in the context of frailty
Frailty and geriatric conditions in older patients with idiopathic pulmonary fibrosis
CT-derived frailty score outperforms clinical frailty scale for mortality prediction following TAVR
Sex differences in the association between frailty and sarcopenia in patients with cirrhosis
CT Imaging Measures of Brain Frailty Correlate with Initial Severity, Outcomes in Ischemic Stroke
Frailty in traumatic brain injury—The significance of temporal muscle thickness
A retrospective observational study of sarcopenia and outcomes in critically ill patients
Comparison of individual and composite radiographic markers of frailty in trauma
Biomarkers and Clinical Evaluation in the Detection of Frailty
Measurement of sarcopenia in head and neck cancer patients and its association with frailty
Frailty predicts severe postoperative complications after elective colorectal surgery
Neuroimaging features of depression–frailty phenotype in older adults: a pilot study
CT biomarkers for phenotypic biological aging: emerging concepts and advantages
Deep learning to estimate biological age from chest radiographs
Dental age estimation through volume matching of teeth imaged by cone-beam CT
Virtual anthropology and forensic identification using multidetector CT
A new approach to the concept and computation of biological age
Measuring biological age via metabonomics: the metabolic age score
Biological age is increased by stress and restored upon recovery
Frailty, fitness and late-life mortality in relation to chronological and biological age
Assessment of biological age by multiple regression analysis
Frailty index as a measure of biological age in a Chinese population
Quantification of biological age as a determinant of age-related diseases in the Rotterdam Study
Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex
The assessment of biological age and sex differences of human aging
Quantification of aortic calcification–How and why should we do it?
AortaAnalyzer: Interactive, integrated CTA aorta segmentation and quantitative analysis platform
Semiautomated quantification of aortic annulus dimensions on cardiac CT for TAVR
Why and how to measure aortic valve calcification in patients with aortic stenosis
Cardiac CT for Aortic Stenosis: Novel Quantitative Techniques for Comprehensive Patient Assessment
Aortic valve area calculation in aortic stenosis by CT and Doppler echocardiography
Quantifying microcalcification activity in the thoracic aorta
Quantifying the calcification of abdominal aorta and major side branches with deep learning
Quantifying aortic valve calcification using coronary computed tomography angiography
3D segmentation of abdominal aorta from CT-scan and MR images
Calcifications of the thoracic aorta on extended non-contrast-enhanced cardiac CT
CT angiography of the aorta using photon-counting detector CT with reduced contrast media volume
Contrast-enhanced computed tomography assessment of aortic stenosis
Aortic Stenosis: Comparative Evaluation of 16–Detector Row CT and Echocardiography1
Quantification of respiratory movement of the aorta and side branches
64-MDCT for diagnosis of aortic regurgitation in patients referred to CT coronary angiography
Interobserver variability in the measurement of abdominal aortic calcification using unenhanced CT
Relationship between CT anthropometric measurements, adipokines and abdominal aortic calcification
The impact of abdominal fat on abdominal aorta calcification measured on non-enhanced CT
Automated segmentation of thoracic aorta in non-contrast CT images
Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth
Age-dependent ascending aorta mechanics assessed through multiphase CT
Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT
Cardiac virtual noncontrast images for calcium quantification with photon-counting detector CT
Quantitative determination of aortic regurgitant volumes in dogs by ultrafast computed tomography.
Tin-filtered low-dose chest CT to quantify macroscopic calcification burden of the thoracic aorta
Quantitative assessment of abdominal aortic aneurysm geometry
Detection and quantification of coronary artery calcification with electron-beam and conventional CT
Quantification of coronary artery calcium on the basis of dual-energy coronary CT angiography
Calcification of coronary arteries: detection and quantification with double-helix CT.
CT coronary angiography: coronary CT-flow quantification supplements morphological stenosis analysis
Quantification of coronary atherosclerosis in the assessment of coronary artery disease
Quantification of coronary artery stenoses by computed tomography
Coronary artery stenosis quantification using multislice computed tomography
Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
Deep learning-based stenosis quantification from coronary CT angiography
Quantification of calcium burden by coronary CT angiography compared to optical coherence tomography
Coronary artery calcium quantification at multi–detector row helical CT versus electron-beam CT
How to quantify coronary atherosclerotic plaque using computed tomography
Automatic detection and quantification of coronary calcium on 3D CT angiography data
Quantification and characterization of carotid calcium with multi-detector CT-angiography
Coronary artery stenoses: detection with calcium scoring, CT angiography, and both methods combined
Cardiac CT: state of the art for the detection of coronary arterial stenosis
Coronary artery calcium score quantification using a deep-learning algorithm
Automatic coronary artery plaque quantification and CAD-RADS prediction using mesh priors
Coronary artery calcium measurement: agreement of multirow detector and electron beam CT
Automated coronary artery calcification scoring in non-gated chest CT: agreement and reliability
Semiautomated quantification of aortic annulus dimensions on cardiac CT for TAVR
CT and MR imaging of the aortic valve: radiologic-pathologic correlation
Automated cardiac valve tracking for flow quantification with four-dimensional flow MRI
Quantification of aortic valve calcification in contrast-enhanced computed tomography
Why and how to measure aortic valve calcification in patients with aortic stenosis
Automated quantification of bileaflet mechanical heart valve leaflet angles in CT images
Aortic valves stenosis and regurgitation: assessment with dual source computed tomography
Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT
Characterization of aortic valve stenosis by CT angiography in a diverse US cohort
Aortic valve calcification on computed tomography predicts the severity of aortic stenosis
Sixty-four slice CT evaluation of aortic stenosis using planimetry of the aortic valve area
Imaging evaluation of tricuspid valve: analysis of morphology and function with CT and MRI
Evaluation of aortic root and valve calcifications by multi-detector computed tomography
Mitral Regurgitation: Quantification with 16–Detector Row CT—Initial Experience1
CT angiography of the cardiac valves: normal, diseased, and postoperative appearances
Early aortic valve inflammation precedes calcification: a longitudinal FDG-PET/CT study
Aortic valve calcification as a marker for aortic stenosis severity: assessment on 16-MDCT
Aortic valve area calculation in aortic stenosis by CT and Doppler echocardiography
Computed tomography assessment of lung volume changes after bronchial valve treatment
Identifying cardiac amyloid in aortic stenosis: ECV quantification by CT in TAVR patients
Multidetector computed tomography in transcatheter aortic valve implantation
Assessment of mitral valve anatomy and geometry with multislice computed tomography
Diagnostic performance of MDCT for detecting aortic valve regurgitation
Mitral valve imaging with CT: relationship with transcatheter mitral valve interventions
Artificial intelligence for the measurement of the aortic valve annulus
CT and MR imaging of the mitral valve: radiologic-pathologic correlation
Relationship of coronary calcium on standard chest CT scans with mortality
Visibility of calcium on MR and CT: can MR show calcium that CT cannot?
Measuring coronary calcium on CT images adjusted for attenuation differences
Quantification and characterization of carotid calcium with multi-detector CT-angiography
An update on coronary artery calcium interpretation at chest and cardiac CT
Assessment of calcium scoring performance in cardiac computed tomography
Coronary artery stenoses: detection with calcium scoring, CT angiography, and both methods combined
Quantification of coronary artery calcium on the basis of dual-energy coronary CT angiography
Direct automatic coronary calcium scoring in cardiac and chest CT
Coronary artery calcium measurement: agreement of multirow detector and electron beam CT
Impact of coronary artery calcium characteristics on accuracy of CT angiography
Quantification of calcium in solitary pulmonary nodules using single-and dual-energy CT.
Electron-beam CT: use of a calibration phantom to reduce variability in calcium quantitation.
Calcium scoring at coronary CT angiography using deep learning
Calcium scoring using 64-slice MDCT, dual source CT and EBT: a comparative phantom study
Impact of iterative reconstruction on CT coronary calcium quantification
Assessment of Agatston coronary artery calcium score using contrast-enhanced CT coronary angiography
Deep-learning-based coronary artery calcium detection from CT image
Coronary artery calcium quantification at multi–detector row helical CT versus electron-beam CT
Coronary artery calcium scoring with photon-counting CT: first in vivo human experience
Coronary Artery Calcium Scoring on Dedicated Cardiac CT and Noncardiac CT Scans
Current and future applications of CT coronary calcium assessment
Calcium stone fragility is predicted by helical CT attenuation values
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
Dual-energy CT to differentiate small foci of intracranial hemorrhage from calcium
Automatic detection and quantification of coronary calcium on 3D CT angiography data
Can nontriggered thoracic CT be used for coronary artery calcium scoring? A phantom study
Quantification of calcium burden by coronary CT angiography compared to optical coherence tomography
A supervised classification-based method for coronary calcium detection in non-contrast CT
Quantification of epicardial adipose tissue in coronary calcium score and CT coronary angiography image data sets: comparison of attenuation values, thickness and volumesQuantification of epicardial adipose tissue in coronary calcium score and CT coronary angiography image data sets: comparison of attenuation values, thickness and volumes
Spiral versus electron-beam CT for coronary artery calcium scoring
Cardiac virtual noncontrast images for calcium quantification with photon-counting detector CT
Effect of temporal resolution on calcium scoring: insights from photon-counting detector CT
Coronary CT angiography outperforms calcium imaging in the triage of acute coronary syndrome
Risk stratification of non-contrast CT beyond the coronary calcium scan
Plaque imaging with CT—a comprehensive review on coronary CT angiography based risk assessment
Nonstenotic carotid plaque on CT angiography in patients with cryptogenic stroke
The correlation between carotid plaque ulceration and cerebral infarction seen on CT scan
Spectral CT of carotid atherosclerotic plaque: comparison with histology
Atherosclerotic plaque composition: analysis with multicolor CT and targeted gold nanoparticles
Noninvasive characterization of plaque morphology using helical computed tomography
How to quantify coronary atherosclerotic plaque using computed tomography
Coronary CT angiography (CCTA) and advances in CT plaque imaging
Tomographic plaque imaging with CT: technical considerations and capabilities
Coronary CT angiography: variability of CT scanners and readers in measurement of plaque volume
Characterization of carotid plaque hemorrhage: a CT angiography and MR intraplaque hemorrhage study
Artificial intelligence in computed tomography plaque characterization: A review
Effect of statin treatment on coronary plaque progression–a serial coronary CT angiography study
High-resolution CT imaging of carotid artery atherosclerotic plaques
Spectral CT imaging of vulnerable plaque with two independent biomarkers
Volumetric quantification of atherosclerotic plaque in CT considering partial volume effect
Phase-contrast CT: qualitative and quantitative evaluation of atherosclerotic carotid artery plaque
Coronary plaque imaging with multislice computed tomography: technique and clinical applications
Coronary plaque burden at coronary CT angiography in asymptomatic men and women
Carotid artery plaque characterization using CT multienergy imaging
Ex vivo coronary atherosclerotic plaque characterization with multi-detector-row CT
Methods of plaque quantification and characterization by cardiac computed tomography
Atherosclerotic plaque characterization by multidetector row computed tomography angiography
Atherosclerotic plaque imaging using phase-contrast X-ray computed tomography
Deep learning for head and neck CT angiography: stenosis and plaque classification
Patterns of brain computed tomography infarction and carotid plaque echogenicity
Noninvasive assessment of coronary plaque burden using multislice computed tomography
Carotid plaque computed tomography imaging in stroke and nonstroke patients
Dual-source computed tomography: advances of improved temporal resolution in coronary plaque imaging
Coronary plaque characteristics in computed tomography and 2-year outcomes: the PREDICT study
Progression of noncalcified and calcified coronary plaque by CT angiography in SLE
Photon counting spectral CT component analysis of coronary artery atherosclerotic plaque samples
Quantification of arterial plaque and lumen density with MDCT
Degree of carotid plaque calcification in relation to symptomatic outcome and plaque inflammation
CT coronary angiography: technical approach and atherosclerotic plaque characterization
Impact of luminal density on plaque classification by CT coronary angiography
Normalization of automatic plaque quantification in cardiac computed tomography (CCT)
Relationship of plaque features at coronary CT to coronary hemodynamics and cardiovascular events
Coronary plaque imaging by coronary computed tomography angiography
Lung cancer classification using neural networks for CT images
Classification of CT brain images based on deep learning networks
Deep learning models for CT image classification: a comprehensive literature review
An automatic diagnostic system for CT liver image classification
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
Proposal of a computed tomography classification for hepatic alveolar echinococcosis
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Deep learning for lung cancer nodules detection and classification in CT scans
Obstructive lung diseases: texture classification for differentiation at CT
CT-based visual classification of emphysema: association with mortality in the COPDGene study
Contrastive cross-site learning with redesigned net for COVID-19 CT classification
Multi-view multi-scale CNNs for lung nodule type classification from CT images
Validity of CT classification on management of occult pneumothorax: a prospective study.
Classification of teeth in cone-beam CT using deep convolutional neural network
Deep learning classification of lung cancer histology using CT images
The value of CT in classification and decision making in acetabulum fractures. A systematic analysis
Coronavirus (covid-19) classification using ct images by machine learning methods
Impact of CT scan on treatment plan and fracture classification of tibial plateau fractures
Calcaneal malunions: results of a prognostic computed tomography classification system
New classification of small pulmonary nodules by margin characteristics on highresolution CT
Preoperative CT classification of the resectability of pancreatic cancer: interobserver agreement
Pilon fractures: a new classification system based on CT-scan
A new classification of head injury based on computerized tomography
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features
Wavelet-based texture classification of tissues in computed tomography
Predictive utility of an adapted Marshall head CT classification scheme after traumatic brain injury
An efficient technique for CT scan images classification of COVID-19
Texture-based classification of different gastric tumors at contrast-enhanced CT
CT classification of small thalamic hemorrhages and their clinical implications
Optimal deep learning model for classification of lung cancer on CT images
A simple practical classification of cerebral infarcts on CT and its interobserver reliability.
Cystic renal masses: accurate Bosniak classification requires adequate renal CT
Interobserver reliability of a CT-based fracture classification system
A method for automatic detection and classification of stroke from brain CT images
Pulmonary artery–vein classification in CT images using deep learning
Classification of Positive COVID-19 CT Scans Using Deep Learning.
Comparison and evaluation of methods for liver tumor classification from CT datasets
Evaluation of the traumatic coma data bank computed tomography classification for severe head injury
Automatic Lung nodule segmentation and classification in CT images based on SVM
Deep 3D convolution neural network for CT brain hemorrhage classification
COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models
Detection and severity classification of COVID-19 in CT images using deep learning
A proposal for a CT driven classification of left colon acute diverticulitis
Automated classification of lung bronchovascular anatomy in CT using AdaBoost
Lung cancer histology classification from CT images based on radiomics and deep learning models
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
Ct-net: Channel tensorization network for video classification
Schatzker classification of tibial plateau fractures: use of CT and MR imaging improves assessment
Deep learning enables automatic classification of emphysema pattern at CT
A texton-based approach for the classification of lung parenchyma in CT images
A data-efficient strategy for building high-performing medical foundation models
A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies
A cost-aware framework for the development of AI models for healthcare applications
Unconditional latent diffusion models memorize patient imaging data
A generalist foundation model and database for open-world medical image segmentation
Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging
Comprehensive echocardiogram evaluation with view primed vision language AI
The AI Agent in the Room: Informing Objective Decision Making at the Transplant Selection Committee
Vision–language foundation model for echocardiogram interpretation
High-throughput deep learning detection of mitral regurgitation
https://github.com/hanassabio/XAI_follicle_sizes/tree/main/analysis_scripts
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations
A framework for sharing of clinical and genetic data for precision medicine applications
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
A generalist vision–language foundation model for diverse biomedical tasks
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
A visual-language foundation model for computational pathology
The value of standards for health datasets in artificial intelligence-based applications
A visual–language foundation model for pathology image analysis using medical twitter
Optimizing risk-based breast cancer screening policies with reinforcement learning
The limits of fair medical imaging AI in real-world generalization
Towards a general-purpose foundation model for computational pathology
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Generative models improve fairness of medical classifiers under distribution shifts
Deep learning models for electrocardiograms are susceptible to adversarial attack
Adapted large language models can outperform medical experts in clinical text summarization
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data
A prognostic risk score for development and spread of chronic pain
A population-based phenome-wide association study of cardiac and aortic structure and function
Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
A vision–language foundation model for the generation of realistic chest x-ray images
Shifting machine learning for healthcare from development to deployment and from models to data
A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies
A cost-aware framework for the development of AI models for healthcare applications
LIVECell—A large-scale dataset for label-free live cell segmentation
U-Net: deep learning for cell counting, detection, and morphometry
The multimodality cell segmentation challenge: toward universal solutions
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
A pathology foundation model for cancer diagnosis and prognosis prediction
Multi-omic machine learning predictor of breast cancer therapy response
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel
A whole-slide foundation model for digital pathology from real-world data
Video-based AI for beat-to-beat assessment of cardiac function
Health system-scale language models are all-purpose prediction engines
Convergence of coronary artery disease genes onto endothelial cell programs
Mathematical discoveries from program search with large language models
Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy
Exome sequencing and analysis of 454,787 UK Biobank participants
Focal liver lesion diagnosis with deep learning and multistage CT imaging
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
End-to-end reproducible AI pipelines in radiology using the cloud
Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning
Large language models streamline automated machine learning for clinical studies
A machine learning-driven virtual biopsy system for kidney transplant patients
A machine learning Automated Recommendation Tool for synthetic biology
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
Video frame interpolation neural network for 3D tomography across different length scales
Deep learning of left atrial structure and function provides link to atrial fibrillation risk
A myoelectric digital twin for fast and realistic modelling in deep learning
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
Optimizing risk-based breast cancer screening policies with reinforcement learning
A machine-learning based objective measure for ALS disease severity
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Interpretable survival prediction for colorectal cancer using deep learning
Determining breast cancer biomarker status and associated morphological features using deep learning
Predicting conversion to wet age-related macular degeneration using deep learning
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning
A decision support system improves the interpretation of myocardial perfusion imaging
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
An artificial intelligence-driven image quality assessment system for whole-body [18F]FDG PET/CT
Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach
Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study
A deep neural network for parametric image reconstruction on a large axial field-of-view PET
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis
Clinical validation of a wearable ultrasound sensor of blood pressure
The barrier method as a new tool to assist in career selection: covert observational study
Prediction models for cardiovascular disease risk in the general population: systematic review
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
Automatic inter-frame patient motion correction for dynamic cardiac PET using deep learning
Efficient classification of very large images with tiny objects
Transformer based feature fusion for left ventricle segmentation in 4D flow MRI
On the road to online adaptation for semantic image segmentation
Craft: Concept recursive activation factorization for explainability
Decoupling predictions in distributed learning for multi-center left atrial mri segmentation
Bringing image scene structure to video via frame-clip consistency of object tokens
Ifseg: Image-free semantic segmentation via vision-language model
Learning open-vocabulary semantic segmentation models from natural language supervision
Theoretical behavior of XAI methods in the presence of suppressor variables
Cut and learn for unsupervised object detection and instance segmentation
Look before you match: Instance understanding matters in video object segmentation
Weakly supervised posture mining for fine-grained classification
Pip-net: Patch-based intuitive prototypes for interpretable image classification
Explaining image classifiers with multiscale directional image representation
Grounding counterfactual explanation of image classifiers to textual concept space
Orthogonal annotation benefits barely-supervised medical image segmentation
Pseudo-label guided contrastive learning for semi-supervised medical image segmentation
IMC-Det: Intra–Inter Modality Contrastive Learning for Video Object Detection
Source-free domain adaptation guided by vision and vision-language pre-training
Contextual object detection with multimodal large language models
Masked channel modeling for bootstrapping visual pre-training
LLMFormer: Large language model for open-vocabulary semantic segmentation
Variational rectification inference for learning with noisy labels
Equiangular basis vectors: A novel paradigm for classification tasks
Incremental model enhancement via memory-based contrastive learning
A comprehensive survey on test-time adaptation under distribution shifts
Towards training-free open-world segmentation via image prompt foundation models
Compositional prompting for anti-forgetting in domain incremental learning
Exploration and exploitation of unlabeled data for open-set semi-supervised learning
Multi-constraint transferable generative adversarial networks for cross-modal brain image synthesis
Fine-grained multimodal deepfake classification via heterogeneous graphs
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
Deep learning based prediction of pulmonary hypertension in newborns using echocardiograms
Relative norm alignment for tackling domain shift in deep multi-modal classification
Benchmarking and analysis of unsupervised object segmentation from real-world single images
Universal representations: A unified look at multiple task and domain learning
Segvit v2: Exploring efficient and continual semantic segmentation with plain vision transformers
Instaformer++: Multi-domain instance-aware image-to-image translation with transformer
Transferring vision-language models for visual recognition: A classifier perspective
Intra-& extra-source exemplar-based style synthesis for improved domain generalization
Minegan++: Mining generative models for efficient knowledge transfer to limited data domains
The curious layperson: Fine-grained image recognition without expert labels
Accurate fine-grained object recognition with structure-driven relation graph networks
Multimodal machine learning in image-based and clinical biomedicine: Survey and prospects
Scaling up multi-domain semantic segmentation with sentence embeddings
Self-supervised anomaly detection with neural transformations
Representational gradient boosting: backpropagation in the space of functions
Learning nonlinear functions using regularized greedy forest
Xgrad: Boosting gradient-based optimizers with weight prediction
Cross-validated variable selection in tree-based methods improves predictive performance
Deep generative mixture model for robust imbalance classification
Dual compensation residual networks for class imbalanced learning
Multiset feature learning for highly imbalanced data classification
Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning
Why does rebalancing class-unbalanced data improve AUC for linear discriminant analysis?
Heterogeneous feature re-sampling for balanced pedestrian attribute recognition
Deep imbalanced learning for face recognition and attribute prediction
The equalization losses: Gradient-driven training for long-tailed object recognition
Probabilistic contrastive learning for long-tailed visual recognition
Power normalizations in fine-grained image, few-shot image and graph classification
Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels
Large-scale object detection in the wild with imbalanced data distribution, and multi-labels
The equalization losses: Gradient-driven training for long-tailed object recognition
On instabilities of deep learning in image reconstruction and the potential costs of AI
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach
Convergence of adaptive algorithms for weakly convex constrained optimization
On the convergence of stochastic primal-dual hybrid gradient
Understanding double descent requires a fine-grained bias-variance decomposition
169Yb‐based rotating shield brachytherapy for prostate cancer
Fast approximation of non-negative sparse recovery via deep learning
Statistical inferences of linear forms for noisy matrix completion
Global convergence of adaptive gradient methods for an over-parameterized neural network
A survey of optimization methods from a machine learning perspective
An introductory guide to Fano's inequality with applications in statistical estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
The impact of regularization on high-dimensional logistic regression
Image reconstruction: From sparsity to data-adaptive methods and machine learning
Information theoretic learning of robust deep representations
A survey on compressive sensing: Classical results and recent advancements
Super-resolution meets machine learning: approximation of measures
Low-rank matrix completion and denoising under Poisson noise
Optimal number of measurements in a linear system with quadratically decreasing snr
Low-rank matrix completion and denoising under Poisson noise
Making sense of implementation theories, models, and frameworks
The answer is 17 years, what is the question: understanding time lags in translational research
Developing current procedural terminology codes that describe the work performed by machines
https://jnm.snmjournals.org/content/early/2025/06/12/jnumed.124.269425
Self-supervised visual reinforcement learning with object-centric representations
On the trajectory of stochastic gradient descent in the information plane
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Theoretical linear convergence of unfolded ISTA and its practical weights and thresholds
On the power of over-parametrization in neural networks with quadratic activation
Blessing of dimensionality: mathematical foundations of the statistical physics of data
Conditional Sparse lp-norm Regression With Optimal Probability
Signal recovery under mutual incoherence property and oracle inequalities
Optimal rates of sketched-regularized algorithms for least-squares regression over Hilbert spaces
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems
Gradient descent learns one-hidden-layer cnn: Don't be afraid of spurious local minima
Estimating mutual information for discrete-continuous mixtures
Convex co-embedding for matrix completion with predictive side information
Efficient recovery of block sparse signals by an improved algorithm of Block-StOMP
SRHRF+: Self-example enhanced single image super-resolution using hierarchical random forests
Sparse polynomial interpolation: sparse recovery, super-resolution, or Prony?
Projection matrix design using prior information in compressive sensing
Learning proximal operators: Using denoising networks for regularizing inverse imaging problems
AMP-Net: Denoising-based deep unfolding for compressive image sensing
Geometric matrix completion with recurrent multi-graph neural networks
Fast black-box variational inference through stochastic trust-region optimization
One network to solve them all--solving linear inverse problems using deep projection models
Partial hard thresholding: Towards a principled analysis of support recovery
Opening the black box of deep neural networks via information
Information-theoretic analysis of generalization capability of learning algorithms
Stronger generalization bounds for deep nets via a compression approach
Chaining mutual information and tightening generalization bounds
An information theoretic view on learning of artificial neural networks
Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging
A hierarchical framework for recovery in compressive sensing
Regularized linear regression: A precise analysis of the estimation error
Noise-tolerant life-long matrix completion via adaptive sampling
Optimization in high dimensions via accelerated, parallel, and proximal coordinate descent
Supervised Learning in Matrix Completion Framework for Recommender System Design.
Convex block-sparse linear regression with expanders–provably
A theoretical analysis of contrastive unsupervised representation learning
Dynamical, symplectic and stochastic perspectives on gradient-based optimization
Understanding and utilizing deep neural networks trained with noisy labels
Efficient 169Yb high‐dose‐rate brachytherapy source production using reactivation
Self-supervised bayesian deep learning for image recovery with applications to compressive sensing
Classification vs regression in overparameterized regimes: Does the loss function matter?
CCMI: Classifier based conditional mutual information estimation
Conic optimization for quadratic regression under sparse noise
The role of regularization in classification of high-dimensional noisy gaussian mixture
Minimax classification with 0-1 loss and performance guarantees
Why do classifier accuracies show linear trends under distribution shift?
Balancing principle in supervised learning for a general regularization scheme
Convergences of regularized algorithms and stochastic gradient methods with random projections
Efficient least residual greedy algorithms for sparse recovery
Meta dropout: Learning to perturb latent features for generalization
On the rate of convergence of image classifiers based on convolutional neural networks
Toward theoretically founded learning-based compressed sensing
Deep probabilistic subsampling for task-adaptive compressed sensing
Augmix: A simple data processing method to improve robustness and uncertainty
Training binary neural networks through learning with noisy supervision
Supervised learning for nonsequential data: A canonical polyadic decomposition approach
Your classifier is secretly an energy based model and you should treat it like one
Convergence of smoothed empirical measures with applications to entropy estimation
The implicit bias of depth: How incremental learning drives generalization
A shifted primal-dual penalty-barrier method for nonlinear optimization
Unbiased gradient estimation for distributionally robust learning
Robust high dimensional learning for Lipschitz and convex losses
On information plane analyses of neural network classifiers—A review
Towards convergence rate analysis of random forests for classification
Recovery of sparse linear classifiers from mixture of responses
Sobolev norm learning rates for regularized least-squares algorithms
Spectral regularization algorithms for learning large incomplete matrices
Restricted eigenvalue properties for correlated Gaussian designs
The MUSIC algorithm for sparse objects: a compressed sensing analysis
Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR
Image denoising: Can plain neural networks compete with BM3D?
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
Distance-based and continuum Fano inequalities with applications to statistical estimation
Deterministic sensing matrices in compressive sensing: A survey
Do we need hundreds of classifiers to solve real world classification problems?
Treatment plan optimization for rotating-shield brachytherapy
Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion
Robust recovery of stream of pulses using convex optimization
Optimal estimation and completion of matrices with biclustering structures
A characterization of deterministic sampling patterns for low-rank matrix completion
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
SGD learns over-parameterized networks that provably generalize on linearly separable data
Multisource rotating shield brachytherapy apparatus for prostate cancer
Matrix completion by least-square, low-rank, and sparse self-representations
Learning discrete representations via information maximizing self-augmented training
Convolutional neural networks analyzed via convolutional sparse coding
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Revisiting unreasonable effectiveness of data in deep learning era
Real-time radiation treatment planning with optimality guarantees via cluster and bound methods
Building recurrent networks by unfolding iterative thresholding for sequential sparse recovery
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
A survey on deep learning-based fine-grained object classification and semantic segmentation
To understand deep learning we need to understand kernel learning
Evaluating capability of deep neural networks for image classification via information plane
Using side information to reliably learn low-rank matrices from missing and corrupted observations
Construction of compressed sensing matrices for signal processing
Unsupervised hard example mining from videos for improved object detection
Fast convergence rates of deep neural networks for classification
A deep generative model for semi-supervised classification with noisy labels
A general convergence result for mirror descent with Armijo line search
Learning overparameterized neural networks via stochastic gradient descent on structured data
Understanding the loss surface of neural networks for binary classification
Defining and conceptualising the commercial determinants of health
Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation
PET image denoising using a deep-learning method for extremely obese patients
A whole-body FDG-PET/CT dataset with manually annotated tumor lesions
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
Classification of head and neck cancer from PET images using convolutional neural networks
Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories
PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
3D multi-modality Transformer-GAN for high-quality PET reconstruction
The promise of artificial intelligence and deep learning in PET and SPECT imaging
Artificial intelligence for optimization and interpretation of PET/CT and PET/MR images
Applications of artificial intelligence in oncologic 18F-FDG PET/CT imaging: a systematic review
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Exploring and exploiting multi-modality uncertainty for tumor segmentation on PET/CT
AI-based differential diagnosis of dementia etiologies on multimodal data
A whole-body FDG-PET/CT dataset with manually annotated tumor lesions
An image registration method for voxel-wise analysis of whole-body oncological PET-CT
Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
Vision transformer to differentiate between benign and malignant slices in 18F-FDG PET/CT
Classification of head and neck cancer from PET images using convolutional neural networks
The differential diagnostic value of dual-phase 18F-DCFPyL PET/CT in prostate carcinoma
Automated detection of Alzheimer's disease: A multi-modal approach with 3D MRI and amyloid PET
Gallium-68 labelled RGD PET/CT imaging of endothelial activation in COVID-19 patients
Quantitative PET-based biomarkers in lymphoma: getting ready for primetime
Uncovering atherosclerotic cardiovascular disease by PET imaging
Non-invasive decision support for NSCLC treatment using PET/CT radiomics
Deep mutual learning on hybrid amino acid PET predicts H3K27M mutations in midline gliomas
Dynamic FDG PET/CT for differentiating focal pelvic uptake in patients with gynecological cancer
Object-part attention model for fine-grained image classification
Grassmann pooling as compact homogeneous bilinear pooling for fine-grained visual classification
A Sparse DOA Estimation Method IRLS-NET for Single-Snapshot Signals
Learning to exploit temporal structure for biomedical vision-language processing
Bidirectional copy-paste for semi-supervised medical image segmentation
Fine-grained object classification via self-supervised pose alignment
Temporal complementarity-guided reinforcement learning for image-to-video person re-identification
On some fast and robust classifiers for high dimension, low sample size data
FlowNet-PET: unsupervised learning to perform respiratory motion correction in PET imaging
Learning incrementally to segment multiple organs in a CT image
Multimodal dynamics: Dynamical fusion for trustworthy multimodal classification
Decoupling predictions in distributed learning for multi-center left atrial mri segmentation
Classification-then-grounding: Reformulating video scene graphs as temporal bipartite graphs
Deformable protopnet: An interpretable image classifier using deformable prototypes
Efficient online ml api selection for multi-label classification tasks
Near-optimal rate of consistency for linear models with missing values
A review on deep learning MRI reconstruction without fully sampled k-space
Automatic inter-frame patient motion correction for dynamic cardiac PET using deep learning
Meal v2: Boosting vanilla resnet-50 to 80%+ top-1 accuracy on imagenet without tricks
Rank & sort loss for object detection and instance segmentation
A survey and performance evaluation of deep learning methods for small object detection
Exploring vision transformers for fine-grained classification
Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings
Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans
Swin-unet: Unet-like pure transformer for medical image segmentation
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
Cascade R-CNN: High quality object detection and instance segmentation
Deep high-resolution representation learning for visual recognition
Multi-scale self-guided attention for medical image segmentation
A survey of recent advances in CNN-based fine-grained visual categorization
Imagebert: Cross-modal pre-training with large-scale weak-supervised image-text data
Robust instance-optimal recovery of sparse signals at unknown noise levels
A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
Memory-aware curriculum federated learning for breast cancer classification
Attention-enriched deep learning model for breast tumor segmentation in ultrasound images
A unified mammogram analysis method via hybrid deep supervision
Deep multi-instance networks with sparse label assignment for whole mammogram classification
Breast masses in mammography classification with local contour features
O^ 2pf: Oversampling via optimum-path forest for breast cancer detection
High-resolution breast cancer screening with multi-view deep convolutional neural networks
Artificial intelligence for breast cancer analysis: Trends & directions
Real-time automatic m-mode echocardiography measurement with panel attention
Cardiac imaging: working towards fully-automated machine analysis & interpretation
Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR
A novel MRI PET image fusion using shearlet transform and pulse coded neural network
Prognostic value of [18F]FDG PET/CT in patients with idiopathic pulmonary fibrosis
Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate
Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge
Joint solution for PET image segmentation, denoising, and partial volume correction
Guidelines and evaluation of clinical explainable AI in medical image analysis
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation
Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model
A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion
Deep learning based synthesis of MRI, CT and PET: Review and analysis
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy
Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest
Imitation learning for improved 3D PET/MR attenuation correction
Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET
Embracing the disharmony in medical imaging: A simple and effective framework for domain adaptation
Quantitative evaluation of convolution-based methods for medical image interpolation
A non-local approach for image super-resolution using intermodality priors
Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI
A generalized linear modeling approach to bootstrapping multi-frame PET image data
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
A survey on incorporating domain knowledge into deep learning for medical image analysis
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
Advances in medical image analysis with vision transformers: a comprehensive review
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy
On the challenges and perspectives of foundation models for medical image analysis
Disease quantification on PET/CT images without explicit object delineation
Segment anything model for medical image analysis: an experimental study
Unmixing dynamic PET images with variable specific binding kinetics
Mask-aware transformer with structure invariant loss for CT translation
Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest
Imitation learning for improved 3D PET/MR attenuation correction
TarGAN: CT to MRI Translation Using Private Unpaired Data Domain
Dc-cyclegan: Bidirectional ct-to-mr synthesis from unpaired data
Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation
Low-dose computed tomography perceptual image quality assessment
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning
AI-driven projection tomography with multicore fibre-optic cell rotation
A deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound
Video frame interpolation neural network for 3D tomography across different length scales
Medical multimodal multitask foundation model for lung cancer screening
Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis
A deep unrolled neural network for real-time MRI-guided brain intervention
Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging
A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data
Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images
Topology-oriented foreground focusing network for semi-supervised coronary artery segmentation
Detection, segmentation, simulation and visualization of aortic dissections: a review
Deep learning-based solvability of underdetermined inverse problems in medical imaging
Automatic segmentation and quantification of white and brown adipose tissues from PET/CT scans
Cardiac motion correction for helical CT scan with an ordinary pitch