yusuke1997/dblp-id-title huggingface dataset:
Quantification of CT images for the classification of high- and low-risk pancreatic cysts
Local binary patterns for stromal area removal in histology images
Coil compaction and aneurysm growth: image-based quantification using non-rigid registration
Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers
Automatic diagnosis of lumbar disc herniation with shape and appearance features from MRI
Comparison of breast percent density estimation from raw versus processed digital mammograms
A method for quickly and exactly extracting hepatic vein
Prognosis of intervertebral disc loss from diagnosis of degenerative disc disease
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes
Efficient detection of vascular structures using locally connected filtering
Quantitative evaluation of humeral head defects by comparing left and right feature
Navigation-supported diagnosis of the substantia nigra by matching midbrain sonography and MRI
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT
Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices
Multiparameter analysis of vascular remodeling in post-acute sequelae of COVID-19
A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study
Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI
Incremental classification learning for anomaly detection in medical images
Front Matter: Volume 10134
A preparatory study to choose similarity metrics for left-ventricle segmentations comparison
A similarity study between the query mass and retrieved masses using decision tree content-based image retrieval (DTCBIR) CADx system for characterization of ultrasound breast mass images
Automated aortic calcification detection in low-dose chest CT images
Semiautomatic segmentation for the computer aided diagnosis of clustered microcalcifications
Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software
Challenges in automated detection of cervical intraepithelial neoplasia
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation
Accurate motion parameter estimation for colonoscopy tracking using a regression method
Manifold learning for dimensionality reduction and clustering of skin spectroscopy data
The Lung TIME: annotated lung nodule dataset and nodule detection framework
3D thyroid segmentation in CT using self-attention convolutional neural network
How does image quality affect computer-aided diagnosis of colorectal polyps?
Deep learning for automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration
Classification of progression free survival with nasopharyngeal carcinoma tumors
A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps
Automated segmentation of mucosal change in rhinosinusitis patients
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms
Machine learning algorithm for classification of breast ultrasound images
High-throughput morphometric analysis of pulmonary airways in MSCT via a mixed 3D/2D approach
Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation
Down syndrome detection from facial photographs using machine learning techniques
Robust detection of bifurcations for vessel tree tracking
A novel approach for tuberculosis screening based on deep convolutional neural networks
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps
Estimation of myocardial volume at risk from CT angiography
Automated coronary CT angiography plaque-lumen segmentation
Unsupervised segmentation of lungs from chest radiographs
Standard moments based vessel bifurcation filter for computer-aided detection of pulmonary nodules
Automatic stent strut detection in intravascular OCT images using image processing and classification technique
Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images
Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties
CNN-based tumor progression prediction after thermal ablation with CT imaging
Detection of vertebral degenerative disc disease based on cortical shell unwrapping
Spatial and depth weighted neural network for diagnosis of Alzheimer's disease
Atorvastatin effect evaluation based on feature combination of three-dimension ultrasound images
A novel method of partitioning regions in lungs and their usage in feature extraction for reducing false positives
Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design
Using Pareto fronts to evaluate polyp detection algorithms for CT colonography
Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths
Early detection of Alzheimer's disease using histograms in a dissimilarity-based classification framework
Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets
Fundus image registration for vestibularis research
A new paradigm of oral cancer detection using digital infrared thermal imaging
PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension
Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI
Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks
Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors
A preliminary study for fully automated quantification of psoriasis severity using image mapping
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection
Automatic computer aided detection of abnormalities in multi-parametric prostate MRI
Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors
Investigating the effects of majority voting on CAD systems: a LIDC case study
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features
Navigated tracking of skin lesion progression with optical spectroscopy
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis
Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging
Neurovascular bundles segmentation on MRI via hierarchical object activation network
Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant's head models
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information
A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs
An improved asymmetry measure to detect breast cancer
Semi-automated segmentation of solid and GGO nodules in lung CT images using vessel-likelihood derived from local foreground structure
Linear structure verification for medical imaging applications
Automated multi-channel segmentation for the 4D myocardial velocity mapping cardiac MR
Segmentation of the common carotid artery with active shape models from 3D ultrasound images
Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients
Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images
Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19
Learning-based automatic detection of severe coronary stenoses in CT angiographies
Deep learning with visual explanation for radiotherapy-induced toxicity prediction
Detection of architectural distortion in prior mammograms using statistical measures of orientation of texture
Deep 3D convolution neural network for CT brain hemorrhage classification
Volumetric detection of flat lesions for minimal-preparation dual-energy CT colonography
Lung nodule retrieval using semantic similarity estimates
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom
Similarity evaluation between query and retrieved masses using a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images: an observer study
Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT
Simulating solid lung nodules in MDCT images for CAD evaluation: modeling, validation, and applications
Human-in-the-loop deep learning retinal image classification with customized loss function
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification
Segmentation of histological structures for fractal analysis
Small white matter lesion detection in cerebral small vessel disease
Classification of SD-OCT volumes for DME detection: an anomaly detection approach
Segmentation of the sternum from low-dose chest CT images
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images
Realistic simulated lung nodule dataset for testing CAD detection and sizing
Prostate cancer detection from model-free T1-weighted time series and diffusion imaging
Training set optimization and classifier performance in a top-down diabetic retinopathy screening system
Active contours for localizing polyps in colonoscopic NBI image data
U-Net based automatic carotid plaque segmentation from 3D ultrasound images
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study
Computer-aided detection of early cancer in the esophagus using HD endoscopy images
Computer-based assessment of right ventricular regional ejection fraction in patients with repaired Tetralogy of Fallot
Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT
A quantitative analysis of breast densities using cone beam CT images
3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ
Optimized acquisition scheme for multi-projection correlation imaging of breast cancer
Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis
Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model
Estimating local scaling properties for the classification of interstitial lung disease patterns
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas
Database-guided breast tumor detection and segmentation in 2D ultrasound images
Improvement of retinal blood vessel detection by spur removal and Gaussian matched filtering compensation
2D and 3D bladder segmentation using U-Net-based deep-learning
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
2.5D CNN model for detecting lung disease using weak supervision
Using temporal GAN to translate the current CTP scan to follow-up MRI, for predicting final acute ischemic stroke lesions
Gate-SBNet: gate semantic boundary network for colorectal polyp segmentation
Multi-level feature extraction for skin lesion segmentation in dermoscopic images
Prostate Gleason score prediction via MRI using capsule network
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network
An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions
MRI-based prostate and dominant lesion segmentation using deep neural network
Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children
Automated artery-venous classification of retinal blood vessels based on structural mapping method
Segmentation of urinary bladder in CT Urography (CTU) using CLASS
Supervised method to build an atlas database for multi-atlas segmentation-propagation
Template-based tractography for clinical neonatal diffusion imaging data
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm
Computer-aided detection of polyps in CT colonography by means of AdaBoost
Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging
Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer
Longitudinal matching of in vivo adaptive optics images of fluorescent cells in the human eye using stochastically consistent superpixels
Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans
The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a data set annotated by multiple radiologists
The reconstruction of microcalcification clusters in digital breast tomosynthesis
Ultrasound based computer-aided-diagnosis of kidneys for pediatric hydronephrosis
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention
An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images
A knowledge-based approach to the CADx of mammographic masses
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images
Glandular object based tumor morphometry in H&E biopsy samples for prostate cancer prognosis
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization
Self-adaptive asymmetric on-line boosting for detecting anatomical structures
Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results
Lung vessel suppression and its effect on nodule detection in chest CT scans
Classification of schizophrenia from functional MRI using large-scale extended Granger causality
Multi-fractal texture features for brain tumor and edema segmentation
Preprocessing for improving CAD scheme performance for microcalcification detection based on mammography imaging quality parameters
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis
Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning
Automatic diagnosis for prostate cancer using run-length matrix method
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks
Seamless lesion insertion in digital mammography: methodology and reader study
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer
Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI
Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022
Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology
Pseudo-enhancement correction for computer-aided detection in fecal-tagging CT colonography
Physical priors in virtual colonoscopy
Computer-aided detection of malpositioned endotracheal tubes in portable chest radiographs
Computer-aided classification of breast masses using contrast-enhanced digital mammograms
Automated detection of microaneurysms using robust blob descriptors
Prostate lesion detection and localization based on locality alignment discriminant analysis
Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021
Ovarian assessment using deep learning-based 3D ultrasound super resolution
Robustness of interactive intensity thresholding based breast density assessment in MR-mammography
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans
Rib detection for whole breast ultrasound image
Deep learning with vessel surface meshes for intracranial aneurysm detection
Neural networks for in situ detection of glioma infiltration using optical coherence tomography
Automatic lumbar vertebra segmentation from clinical CT for wedge compression fracture diagnosis
A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CT
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs
Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation
Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy
A tool for computer-aided diagnosis of retinopathy of prematurity
Quantitative image feature variability amongst CT scanners with a controlled scan protocol
Measurement of hard tissue density based on image density of intraoral radiograph
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI
A deep learning method for localizing the origin of ventricular tachycardia using 12-lead ECG
A prostate MRI atlas of biochemical failures following cancer treatment
A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans
Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans
Finding lesion correspondences in different views of automated 3D breast ultrasound
Microstructure analysis of the secondary pulmonary lobules by 3D synchrotron radiation CT
A study of mammographic mass retrieval based on shape and texture descriptors
Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics
A robust independent component analysis (ICA) model for functional magnetic resonance imaging (fMRI) data
A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer
An analysis of two ground truth estimation methods
Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks
Improving medical image segmentation and classification using a novel joint deep learning model
Bone age assessment using support vector regression with smart class mapping
Automated measurement of pulmonary artery in low-dose non-contrast chest CT images
Unsupervised classification of cirrhotic livers using MRI data
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study
Comparison of different deep learning approaches for parotid gland segmentation from CT images
Automatic segmentation of the lumen of the carotid artery in ultrasound B-mode images
Content-based image retrieval for interstitial lung diseases using classification confidence
Automated detection of abnormalities in paranasal sinus on dental panoramic radiographs by using contralateral subtraction technique based on mandible contour
A system for automatic aorta sections measurements on chest CT
Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography
Front Matter: Volume 9414
Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images
Fully automated quantitative analysis of breast cancer risk in DCE-MR images
Organ segmentation from full-size CT images using memory-efficient FCN
Bladder cancer treatment response assessment using deep learning in CT with transfer learning
Automatic segmentation of solitary pulmonary nodules based on local intensity structure analysis and 3D neighborhood features in 3D chest CT images
Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI
Fully automatic bone segmentation through contrast enhanced torso CT dataset
Segmentation of mouse tibia on MRI using deep learning U-Net models
Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI
DBNet: a dual-branch network for breast cancer classification in ultrasound images
A content based framework for mass retrieval in mammograms
Automated coronary artery calcification detection on low-dose chest CT images
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features
Applying a new feature fusion method to classify breast lesions
Automated classification of colon polyps in endoscopic image data
Estimation of retinal vessel caliber using model fitting and random forests
Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography
Automated torso organ segmentation from 3D CT images using structured perceptron and dual decomposition
Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images