yusuke1997/dblp-id-title huggingface dataset:
Improved segmentation by adversarial U-Net
A local geometrical metric-based model for polyp classification
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma
An ensemble of U-Net architecture variants for left atrial segmentation
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI
3D supine and prone colon registration for computed tomographic colonography scans based on graph matching
Retinal image quality assessment using generic features
Lung nodule malignancy prediction using multi-task convolutional neural network
Attention-guided classification of abnormalities in semi-structured computed tomography reports
Cup-disc and retinal nerve fiber layer features fusion for diagnosis glaucoma
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction
Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification
Integrating user profile in medical CBIR systems to answer perceptual similarity queries
Deep learning-based deformable MRI-CBCT registration of male pelvic region
Multiparametric tissue abnormality characterization using manifold regularization
Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification
Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images
Particle swarm optimization of neural network CAD systems with clinically relevant objectives
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble
Glaucoma classification using a morphological-convolutional neural network trained with extreme learning machine
Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images
Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging
Prediction of brain tumor progression using a machine learning technique
Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color
Automatic determination of the artery vein ratio in retinal images
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches
A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging
Multi-class prediction for improving intestine segmentation on non-fecal-tagged CT volume
Deformation robust texture features for polyp classification via CT colonography
Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle
The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx
Association of computer-aided detection results and breast cancer risk
Computer-aided diagnosis of acute ischemic stroke based on cerebral hypoperfusion using 4D CT angiography
Developing assessment system for wireless capsule endoscopy videos based on event detection
A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction
Prediction of prostate cancer aggressiveness using quantitative radiomic features using multi-parametric MRI
Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans
Connection method of separated luminal regions of intestine from CT volumes
Siamese neural networks for the classification of high-dimensional radiomic features
Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon
Classification of colon polyps in NBI endoscopy using vascularization features
Improved pulmonary nodule classification utilizing lung parenchyma texture features
Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate
Tracking time interval changes of pulmonary nodules on follow-up 3D CT images via image-based risk score of lung cancer
Predictive modeling of neuroanatomic structures for brain atrophy detection
Lung texture classification using bag of visual words
BI-RADS guided mammographic mass retrieval
Usefulness of histogram analysis of spatial frequency components for exploring the similarity and bilateral asymmetry in mammograms
A lung graph model for the classification of interstitial lung diseases on CT images
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks
Patient-specific coronary artery blood flow simulation using myocardial volume partitioning
A novel computer-aided detection system for pulmonary nodule identification in CT images
Pathology detection on medical images based in oriented active appearance models
Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction
Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool
Computer aided periapical lesion diagnosis using quantized texture analysis
Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapy
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution
Longitudinal follow-up study of smoking-induced emphysema progression in low-dose CT screening of lung cancer
Automated tumor delineation using joint PET/CT information
Computer-aided marginal artery detection on computed tomographic colonography
Automatic classification of retinal vessels into arteries and veins
Detecting PHG frames in wireless capsule endoscopy video by integrating rough global dominate-color with fine local texture feature
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism
Quantitative vertebral compression fracture evaluation using a height compass
Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback
Building confidence and credibility into CAD with belief decision trees
Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets
A quality score for coronary artery tree extraction results
Usefulness of texture features for segmentation of lungs with severe diffuse interstitial lung disease
Automated volumetric segmentation method for growth consistency of nonsolid pulmonary nodules in high-resolution CT
Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks
A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression
A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine
Reduction in training time of a deep learning model in detection of lesions in CT
Hyperparameter selection for ResNet classification of malignancy from thyroid ultrasound images
Abdominal CT urography kidney segmentation using spatiotemporal fully convolutional network
An evaluation of automated broncho-arterial ratios for reliable assessment of bronchiectasis
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force
A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest
Quantitative assessment for pneumoconiosis severity diagnosis using 3D CT images
Initial experience with computer aided detection for microcalcification in digital breast tomosynthesis
Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images
Knee orientation detection in MR scout scans using 3D U-net
Computer-aided detection of HER2 amplification status using FISH images: a preliminary study
Computer-aided septal defect diagnosis and detection
Toward a standard reference database for computer-aided mammography
Haustral fold registration in CT colonography and its application to registration of virtual stretched view of the colon
Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan
Segmentation of lung fields using Chan-Vese active contour model in chest radiographs
Prognostic importance of pleural attachment status measured by pretreatment CT images in patients with stage IA lung adenocarcinoma: Measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area
Enhancing image classification models with multi-modal biomarkers
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography
Identifying disease-free chest x-ray images with deep transfer learning
A new approach to measuring tortuosity
Deep neural networks trained for segmentation are sensitive to brightness changes: preliminary results
Front Matter: Volume 7963
Breast image feature learning with adaptive deconvolutional networks
Automated lung field segmentation in CT images using mean shift clustering and geometrical features
Potential usefulness of a topic model-based categorization of lung cancers as quantitative CT biomarkers for predicting the recurrence risk after curative resection
Towards quantitative assessment of calciphylaxis
Increasing CAD system efficacy for lung texture analysis using a convolutional network
An automatically generated texture-based atlas of the lungs
Automatic determination of white matter hyperintensity properties in relation to the development of Alzheimer's disease
Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model
The impact of pulmonary nodule size estimation accuracy on the measured performance of automated nodule detection systems
Classification of mammographic masses using support vector machines and Bayesian networks
A new registration method with voxel-matching technique for temporal subtraction images
Computerized flow and vessel wall analyses of coronary arteries for detection of non-calcified plaques in coronary CT angiography
Classification of melanoma lesions using sparse coded features and random forests
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes
Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans
Deep learning with non-medical training used for chest pathology identification
Contralateral subtraction technique for detection of asymmetric abnormalities on whole-body bone scintigrams
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI
Automatic generation of endocardial surface meshes with 1-to-1 correspondence from cine-MR images
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging
Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images
Hybrid CAD scheme for lung nodule detection in PET/CT images
Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset
Automatic two-step detection of pulmonary nodules
Segmentation of uterus and placenta in MR images using a fully convolutional neural network
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients
Automatic lesion detection and segmentation algorithm on 2D breast ultrasound images
Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation
Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound
Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation
Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement
Visualization and unsupervised clustering of emphysema progression using t-SNE analysis of longitudinal CT images and SNPs
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme
Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval
Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography
A content-based retrieval of mammographic masses using the curvelet descriptor
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls
Retinal SD-OCT image-based pituitary tumor screening
A robust region-based active contour model with point classification for ultrasound breast lesion segmentation
Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching
Genetic algorithm for machine learning architecture selection for breast MRI classification
Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models
Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction
A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients
Retinal health information and notification system (RHINO)
Variation of quantitative emphysema measurements from CT scans
Registration based detection and quantification of intracranial aneurysm growth
Interactive computer-assisted approach for evaluation of ultrastructural cilia abnormalities
Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD
Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models
Automatic lumbar spine measurement in CT images
Three-dimensional semi-automated segmentation of carotid atherosclerosis from three-dimensional ultrasound images
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis
Automated segmentation of pulmonary nodule depicted on CT images
An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI
Sampling-based ensemble segmentation against inter-operator variability
Universal lymph node detection in multiparametric MRI with selective augmentation
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm
Development of CAD prototype system for Crohn's disease
Medical sieve: a cognitive assistant for radiologists and cardiologists
Automatic polyp region segmentation for colonoscopy images using watershed algorithm and ellipse segmentation
Detection of immunocytological markers in photomicroscopic images
Preliminary study on differentiation between glaucomatous and non-glaucomatous eyes on stereo fundus images using cup gradient models
Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery
The use of contextual information for computer aided detection of masses in mammograms
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters
CT-HARMONICA: physics-based CT harmonization for reliable lung density quantification
Artificial intelligence for point of care radiograph quality assessment
Diagnosis of Parkinson's Disease with a hybrid feature selection algorithm based on a discrete artificial bee colony
Active relearning for robust supervised classification of pulmonary emphysema
Statistical shape modeling of human cochlea: alignment and principal component analysis
Computer-aided detection of initial polyp candidates with level set-based adaptive convolution
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study
Automatic breast density segmentation based on pixel classification
Automatic segmentation of tumor-laden lung volumes from the LIDC database
Radiomic modeling of BI-RADS density categories
Classification of cirrhotic liver in Gadolinium-enhanced MR images
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
Collaborative classifiers in CT colonography CAD
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI
Nuclear cytoplasmic cell evaluation from 3D optical CT microscope images
Automated discovery of meniscal tears on MR imaging: a novel high-performance computer-aided detection application for radiologists
Improved polyp classification by inclusion of the surrounding colon wall textures
Segmentation of retinal low-cost optical coherence tomography images using deep learning
Improving mass detection performance by use of 3D difference filter in a whole breast ultrasonography screening system
Automated malignancy detection in breast histopathological images
Automatic liver volume segmentation and fibrosis classification
Evaluation of a computer-aided skin cancer diagnosis system for conventional digital photography with manual segmentation
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning
Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT
Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears
A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans
Imbalanced learning for clinical survival group prediction of brain tumor patients
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation)
Ensembles of sparse classifiers for osteoporosis characterization in digital radiographs
An introductory analysis of digital infrared thermal imaging guided oral cancer detection using multiresolution rotation invariant texture features
A deep learning method for volumetric breast density estimation from processed full field digital mammograms
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks
Automated blood vessel extraction using local features on retinal images
Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images
TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury
Region-based multi-step optic disk and cup segmentation from color fundus image
Measurement of spiculation index in 3D for solitary pulmonary nodules in volumetric lung CT images
An ensemble-based approach for breast mass classification in mammography images
Multiclass feature selection for improved pediatric brain tumor segmentation
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification
Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrum
Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory
Polyp-size classification with RGB-D features for colonoscopy
Automatic lung nodule detection in thick slice CT: a comparative study of different gating schemes in CAD
Automated scoring of aortic calcification in vertebral fracture assessment images
False positive reduction of vasculature for pulmonary nodule detection
A new CAD approach for improving efficacy of cancer screening
Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines
Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity
Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI
Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features
Intrinsic subtype classification of breast lesions on mammograms by contrastive learning
A diagnosis model for early Tourette syndrome children based on brain structural network characteristics
Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis
Lesion classification using clinical and visual data fusion by multiple kernel learning
A template-based approach for the analysis of lung nodules in a volumetric CT phantom study
Vertical cup-to-disc ratio measurement for diagnosis of glaucoma on fundus images
Psychophysical similarity measure based on multi-dimensional scaling for retrieval of similar images of breast masses on mammograms
Acral melanocytic lesion segmentation with a convolution neural network (U-Net)
Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features
Digital staining of pathological images: dye amount correction for improved classification performance
Computerized microscopic image analysis of follicular lymphoma
Assessment of femoral bone quality using co-occurrence matrices and adaptive regions of interest
Fully automated breast density assessment from low-dose chest CT
Computer aided diagnosis of diabetic peripheral neuropathy
Age prediction using a large chest x-ray dataset
Lung ventilation analysis using deformable registration in Xe-enhanced CT images
Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI
Image based grading of nuclear cataract by SVM regression
Projection-based features for reducing false positives in computer-aided detection of colonic polyps in CT colonography
Towards automatic determination of total tumor burden from PET images
Automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs for osteoporosis screening
Automatic classification of pathological myopia in retinal fundus images using PAMELA
Classification of breast lesions in automated 3D breast ultrasound
Automatic blood vessel based- liver segmentation using the portal phase abdominal CT
The effects of TIS and MI on the texture features in ultrasonic fatty liver images
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI
Extracting alveolar structure of human lung tissue specimens based on surface skeleton representation from 3D micro-CT images
Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography
Automatic segmentation of different-sized leukoaraiosis regions in brain MR images