yusuke1997/dblp-id-title huggingface dataset:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms
Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms
Automatic ultrasound image enhancement for 2D semi-automatic breast-lesion segmentation
Digital Mammography DREAM Challenge: Participant Experience 1 (Conference Presentation)
Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs
Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology
Automated lung nodule detection and segmentation
Semantic and topological classification of images in magnetically guided capsule endoscopy
Quantification of oxygen changes in the placenta from BOLD MR image sequences
Using multi-task learning to improve diagnostic performance of convolutional neural networks
An image-based software tool for screening retinal fundus images using vascular morphology and network transport analysis
Early detection of retinopathy of prematurity stage using deep learning approach
Association between mammogram density and background parenchymal enhancement of breast MRI
Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging
A centerline-based estimator of vessel bifurcations in angiography images
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial
A hypersensitive breast cancer detector (Conference Presentation)
Assessment of scoliosis by direct measurement of the curvature of the spine
Effect of two different preprocessing steps in detection of optic nerve head in fundus images
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations
Breast density follow-up decision support system using deep convolutional models
Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture
Image-based retrieval system and computer-aided diagnosis system for renal cortical scintigraphy images
Front Matter: Volume 6915
Multimodal 3D PET/CT system for bronchoscopic procedure planning
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats
3D mapping of airway wall thickening in asthma with MSCT: a level set approach
Effects of image compression and degradation on an automatic diabetic retinopathy screening algorithm
Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA)
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN
Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics
Classification of chest CT using case-level weak supervision
Blood vessel segmentation in en-face OCTA images: a frequency based method
Traction bronchiectasis identification and quantitative biomarkers for follow-up in nonspecific interstitial pneumonia
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
Medical image retrieval based on texture and shape feature co-occurrence
Automatic classification of scar tissue in late gadolinium enhancement cardiac MRI for the assessment of left-atrial wall injury after radiofrequency ablation
Automatic selection of region of interest for radiographic texture analysis
Automatic cell segmentation using mini-u-net on fluorescence in situ hybridization images
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs
An approach to automatic detection of body parts and their size estimation from computed tomography image
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI
Bladder wall segmentation using U-net based deep learning
Boosting CNN performance for lung texture classification using connected filtering
Blood vessel-based liver segmentation through the portal phase of a CT dataset
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis
Emphysema quantification from CT scans using novel application of diaphragm curvature estimation: comparison with standard quantification methods and pulmonary function data
False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography
The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation
Parkinson's disease prediction using diffusion-based atlas approach
Digital Mammography DREAM Challenge: Participant Experience 2 (Conference Presentation)
Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging
Quantitative characterization of brain β-amyloid using a joint PiB/FDG PET image histogram
Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI
Pneumothorax detection in chest radiographs using convolutional neural network
Fine-grained lung nodule segmentation with pyramid deconvolutional neural network
Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images
Digital Mammography DREAM Challenge Overview (Conference Presentation)
Fully automated bone mineral density assessment from low-dose chest CT
Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN
COVID-19 opacity segmentation in chest CT via HydraNet: a joint learning multi-decoder network
Automatic assessment of the quality of patient positioning in mammography
A system for fully automated monitoring of lesion evolution over time in multiple sclerosis
Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia
COMPASS-based ureter segmentation in CT urography (CTU)
Computer-based assessment of left ventricular wall stiffness in patients with ischemic dilated cardiomyopathy
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography
Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classification
Handling label noise through model confidence and uncertainty: application to chest radiograph classification
Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging
Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration
Multiplexed diffused optical imaging generative adversarial network (mDOI-GAN) for sub-surface 3D imaging of tissues
Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure
Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images
Front Matter: Volume 8315
A CAD system based on complex networks theory to characterize mass in mammograms
Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method
Breast density and parenchymal texture measures as potential risk factors for estrogen-receptor positive breast cancer
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions
A robust and accurate approach to automatic blood vessel detection and segmentation from angiography x-ray images using multistage random forests
Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation
Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images
Segmentation of liver portal veins by global optimization
Spatial prior in SVM-based classification of brain images
A phantom design for validating colonoscopy tracking
Automated segmentation of brain ventricles in unenhanced CT of patients with ischemic stroke
Intra-patient colon surface registration based on tæniæ coli
Automatic organ localizations on 3D CT images by using majority-voting of multiple 2D detections based on local binary patterns and Haar-like features
Pulmonary embolism detection using localized vessel-based features in dual energy CT
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform
Toward early diagnosis of arteriosclerotic diseases: collaborative detection of carotid artery calcifications by computer and dentists on dental panoramic radiographs
Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach
Bone age assessment meets SIFT
Multi-task learning for mortality prediction in LDCT images
Annotation and segmentation of diabetic retinopathy lesions: an explainable AI application
PET image harmonization using smoothing-CycleGAN
Identification, segmentation, and characterization of microcalcifications on mammography
Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features
Volume curtaining: a focus+context effect for multimodal volume visualization
Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution
Changes in quantitative 3D shape features of the optic nerve head associated with age
A context-aware approach to content-based image retrieval of lung nodules
Characteristics of suspicious features in CT lung-cancer screening images
A graph matching based automatic regional registration method for sequential mammogram analysis
Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography
Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI
Computer-aided cytological cancer diagnosis: cell type classification as a step towards fully automatic cancer diagnostics on cytopathological specimens of serous effusions
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images
Automated detection of lung tumors in PET/CT images using active contour filter
Discriminative analysis of non-linear brain connectivity for leukoaraiosis with resting-state fMRI
AutoEDES: a model-based Bayesian framework for automatic end-diastolic and end-systolic frame selection in angiographic image sequence
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis
False-positive reduction using RANSAC in mammography microcalcification detection
Abdominal lymphadenopathy detection using random forest
Detection of architectural distortion in prior mammograms using fractal analysis and angular spread of power
Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans
Development of a computer tool to detect and classify nodules in ultrasound breast images
Cluster-based differential features to improve detection accuracy of focal cortical dysplasia
Automation of ischemic myocardial scar detection in cardiac magnetic resonance imaging of the left ventricle using machine learning
A ROC-based feature selection method for computer-aided detection and diagnosis
A new classifier fusion method based on confusion matrix and classification confidence for recognizing common CT imaging signs of lung diseases
Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations
Toward the detection of abnormal chest radiographs the way radiologists do it
Computer-aided detection using non-convolutional neural network Gaussian processes
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model
Evaluation of scoring accuracy for airway wall thickness
Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method
First and second-order features for detection of masses in digital breast tomosynthesis
Deep regression model with ordinal and triplet loss for the prediction of prostate cancer aggressiveness in multi-parametric MR images
Applying a radiomics approach to predict prognosis of lung cancer patients
Pectoral muscle segmentation in breast tomosynthesis with deep learning
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features
An automated lung nodule detection system for CT images using synthetic minority oversampling
Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population
Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches
Automated detection of extradural and subdural hematoma for contrast-enhanced CT images in emergency medical care
Radiomics analysis to diagnose tumor invasiveness of pulmonary sub-solid nodules from longitudinal pre-surgical CT scans
Automatic segmentation method of striatum regions in quantitative susceptibility mapping images
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study
Detection of cerebral aneurysms in MRA, CTA and 3D-RA data sets
Delineation of tagged region by use of local iso-surface roughness in electronic cleansing for CT colonography
Robust vessel segmentation
Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label map
Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features
3D assessment of the carotid artery vessel wall volume: an imaging biomarker for diagnosis of the atherosclerotic disease
A dimension reduction strategy for improving the efficiency of computer-aided detection for CT colonography
Linked psychopathology-specific factors and individual structural brain abnormalities in schizophrenia
Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation
Multi-modal deep learning for predicting progression of Alzheimer's disease using bi-linear shake fusion
Case-based repeatability of machine learning classification performance on breast MRI
Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform
Computer-based assessment of left ventricular regional ejection fraction in patients after myocardial infarction
Feature extraction from inter-view similarity of DBT projection views
Fully automated gynecomastia quantification from low-dose chest CT
Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis
Automatic classification of schizophrenia using resting-state functional language network via an adaptive learning algorithm
An hybrid CPU-GPU framework for quantitative follow-up of abdominal aortic aneurysm volume by CT angiography
Developments of thrombosis detection algorithm using the contrast enhanced CT images
Use of random process-based fractal measure for characterization nodules and suspicious regions in lung
Avalanche decision schemes to improve pediatric rib fracture detection
Finding regions of interest in pathological images: an attentional model approach
Electronic cleansing for CT colonography using spectral-driven iterative reconstruction
Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images
Glaucoma detection based on local binary patterns in fundus photographs
Toward translational incremental similarity-based reasoning in breast cancer grading
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients
Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection
WRDet: a breast cancer detector for full-field digital mammograms
Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks
Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients
Improving the channeler ant model for lung CT analysis
Reliable deep learning in dynamic environments
Multi-task learning of perceptive feature for thyroid malignant probability prediction
Open-source tool for model performance analysis for subpopulations
Automatic detection of coronary stent struts in intravascular OCT imaging
Automated measurement of retinal blood vessel tortuosity
Changes of nodule detection after radiologists read bone opacity suppressed chest radiography
Accurate discrimination of Alzheimer's disease from other dementia and/or normal subjects using SPECT specific volume analysis
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data
A pilot study on bladder wall thickness at different filling stages
Estimation of prenatal aorta intima-media thickness in ultrasound examination
Early detection of at-risk keratoplasties and prediction of future corneal graft rejection from pre-diagnosis endothelial cell images
Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015
A study on quantifying COPD severity by combining pulmonary function tests and CT image analysis
Supine and prone registration of the colon for CT colonography based on dynamic programming technique
Automated localization of vertebra landmarks in MRI images
Prediction of MCI to AD risk of conversion survival models: qMRI vs CSF measures and cognitive assessments
Detection of brain tumor margins using optical coherence tomography
Computer-aided differential diagnosis in movement disorders using MRI morphometry
Automating the expert consensus paradigm for robust lung tissue classification
Computerized luminal analysis for detection of non-calcified plaques in coronary CT angiography
Segmentation of follicular regions on H&E slides using a matching filter and active contour model
Automated detection of contractile abnormalities from stress-rest motion changes
Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT images
Learning lung nodule similarity using a genetic algorithm
Myocardial scar segmentation from magnetic resonance images using convolutional neural network
Mosaic decomposition method for detection and removal of inhomogeneously tagged regions in electronic cleansing for CT colonography
Presentation of similar images for diagnosis of breast masses on mammograms: analysis of the effect on residents
A cost constrained boosting algorithm for fast lesion detection and segmentation
Learning from imbalanced data: a comparative study for colon CAD
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies
Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning
Automated branching pattern report generation for laparoscopic surgery assistance
Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models
Electronic cleansing for dual-energy CT colonography based on material decomposition and virtual monochromatic imaging
Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data
Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication
Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM)
Front Matter: Volume 6514
Hierarchical detection of red lesions in retinal images by multiscale correlation filtering
A novel local learning based approach with application to breast cancer diagnosis
A novel feature reduction method to improve performance of machine learning model
Using virtual monoenergetic images in Karhunen-Loève domain to differentiate lesion pathology
A deep learning approach for COVID-19 screening and localization on chest x-ray images
Classification of mammographic masses: influence of regions used for feature extraction on the classification performance
Automatic aortic root segmentation in CTA whole-body dataset
Comparing deep learning models for population screening using chest radiography
Atlas-based segmentation of brainstem regions in neuromelanin-sensitive magnetic resonance images
Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis
3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis method
Learning distance metrics for interactive search-assisted diagnosis of mammograms
Temporal subtraction system on torso FDG-PET scans based on statistical image analysis
Automated liver elasticity calculation for 3D MRE
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer
Identifying sinus invasion in meningioma patients before surgery with deep learning
Automated classification and visualization of healthy and pathological dental tissues based on near-infrared hyper-spectral imaging
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans
Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI
Automatic seed point identification and main artery segmentation for pulmonary vascular tree segmentation and tracking in computed tomographic pulmonary angiography (CTPA)
Labeling the pulmonary arterial tree in CT images for automatic quantification of pulmonary embolism
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models
Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology
Analysis of percent density estimates from digital breast tomosynthesis projection images
A novel CNN+LSTM approach to classify frontal chest x-rays for spine fractures