yusuke1997/dblp-id-title huggingface dataset:
Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation
Scoliosis curve type classification using kernel machine from 3D trunk image
Deep learning-based risk stratification for treatment management of multiple myeloma with sequential MRI scans
Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning
Prediction of treatment response and metastatic disease in soft tissue sarcoma
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Deep learning and three-compartment breast imaging in breast cancer diagnosis
Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data
Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach
Federated learning using multi-institutional data for generalizable chest x-ray diagnosis
Diagnosis of disc herniation based on classifiers and features generated from spine MR images
Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images
Toward automatic phenotyping of retinal images from genetically determined mono- and dizygotic twins using amplitude modulation-frequency modulation methods
Automatic computation of 2D cardiac measurements from B-mode echocardiography
Localization of tissues in high-resolution digital anatomic pathology images
Segmentation of polycystic kidneys from MR images
Automated grading of lumbar disc degeneration via supervised distance metric learning
Relational representation for improved decisions with an information-theoretic CADe system: initial experience
Comparison of two algorithms in the automatic segmentation of blood vessels in fundus images
Automatic discrimination of color retinal images using the bag of words approach
Optimal feature selection for automated classification of FDG-PET in patients with suspected dementia
Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding
Masses classification using fuzzy active contours and fuzzy decision trees
Cortical thickness estimation of the proximal femur from multi-view dual-energy X-ray absorptiometry (DXA)
Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens
Automatic identification of origins of left and right coronary arteries in CT angiography for coronary arterial tree tracking and plaque detection
Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filing
Automatic detection and localization of bone erosion in hand HR-pQCT
Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis
Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI
A hybrid approach for mammary gland segmentation on CT images by embedding visual explanations from a deep learning classifier into a Bayesian inference
A hybrid preprocessing method using geometry based diffusion and elective enhancement filtering for pulmonary nodule detection
Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies
Lesion classification on breast MRI through topological characterization of morphology over time
A hybrid lung and vessel segmentation algorithm for computer aided detection of pulmonary embolism
An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets
3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics
Automated detection of diagnostically relevant regions in H&E stained digital pathology slides
Objective assessment of the aesthetic outcomes of breast cancer treatment: toward automatic localization of fiducial points on digital photographs
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer
Automated volumetric segmentation method for computerizeddiagnosis of pure nodular ground-glass opacity in high-resolution CT
Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019
Texture feature based liver lesion classification
Phantom-less bone mineral density (BMD) measurement using dual energy computed tomography-based 3-material decomposition
Machine learning for segmenting cells in corneal endothelium images
Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, United States, 15-20 February 2014
Artificial neural networks for automatic modelling of the pectus excavatum corrective prosthesis
High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging
Can deep learning model undergo the same process as a human radiologist when determining malignancy of pulmonary nodules?
Artificial intelligence for image-based breast cancer risk prediction using attention
GISentinel: a software platform for automatic ulcer detection on capsule endoscopy videos
Image patch-based method for automated classification and detection of focal liver lesions on CT
Towards a computer-aided diagnosis system for colon motility dysfunctions
Automatic arteriovenous crossing phenomenon detection on retinal fundus images
Pelvic artery calcification detection on CT scans using convolutional neural networks
Breast MRI intensity non-uniformity correction using mean-shift
Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality
Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures
Prediction of hematoma expansion using a random forest model with clinical data of patients with intracerebral hemorrhage
What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction
Prediction of low-grade glioma progression using MR imaging
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease
Classification of brain tumors using MRI and MRS data
Classification algorithm of pulmonary vein and artery based on multi-slice CT image
An evaluation of consensus techniques for diagnostic interpretation
Workflow improvements for digital breast tomosynthesis: computerized generation of enhanced synthetic images
Visual words based approach for tissue classification in mammograms
Automated extraction of pleural effusion in three-dimensional thoracic CT images
A novel scheme for detection of diffuse lung disease in MDCT by use of statistical texture features
Automated quantification of lumbar vertebral kinematics from dynamic fluoroscopic sequences
Local jet features and statistical models in a hybrid Bayesian framework for prostate estimation in CBCT images
Fractal dimension and lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: a longitudinal and cross-sectional study
Front Matter: Volume 7260
Objective tumour heterogeneity determination in gliomas
Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics
Multilevel image recognition using discriminative patches and kernel covariance descriptor
Lung segmentation based on a deep learning approach for dynamic chest radiography
Self-supervised U-Net for segmenting flat and sessile polyps
Optical coherence tomography layer thickness characterization of a mock artery during angioplasty balloon deployment
Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classification
Automatic identification of pectoralis muscle on digital cranio-caudal-view mammograms
Post-procedural evaluation of catheter contact force characteristics
Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer
Automatic measurement of early gestational sac diameters from one scan session
Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative
AI-human interactive pipeline with feedback to accelerate medical image annotation
Ultrasound RF time series for tissue typing: first in vivo clinical results
Segmentation of knee MRI using structure enhanced local phase filtering
Bone suppression on chest radiographs with adversarial learning
Semi-automatic central-chest lymph-node definition from 3D MDCT images
Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI
Automatic tumor detection in the constrained region for ultrasound breast CAD
RV strain classification from 3D CTPA scans using weakly supervised residual attention model
Detection of retinal nerve fiber layer defects in retinal fundus images using Gabor filtering
Computer-aided diagnosis of lumbar stenosis conditions
Model-based position correlation between breast images
Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development
Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis
Deep learning-based lesion segmentation in paediatric epilepsy
Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, CA, United States, 17-22 February 2007
Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity
Automated right coronary artery localizer using deep learning for optimal cardiac phase selection
Computer aided detection of endobronchial valves
A new color coding scheme for easy polyp visualization in CT-based virtual colonoscopy
Fully automated segmentation of the pectoralis muscle boundary in breast MR images
Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography
Texture feature selection with relevance learning to classify interstitial lung disease patterns
Some practical issues for assessment of computer-aided diagnostic schemes
Opioid use disorder prediction using machine learning of fMRI data
Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks
Automated lesion detection in dynamic contrast enhanced magnetic resonance imaging of breast
A preliminary study of content-based mammographic masses retrieval
Idiopathic interstitial pneumonias and emphysema: detection and classification using a texture-discriminative approach
Detection and classification of interstitial lung diseases and emphysema using a joint morphological-fuzzy approach
Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography
Image-based histologic grade estimation using stochastic geometry analysis
Pixel level image fusion for medical imaging: an energy minimizing approach
Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers
Effect of variable gain on computerized texture analysis on digitalized mammograms
Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis
Iterative K-means clustering for disease subtype discovery
Knee osteoarthritis image registration: data from the Osteoarthritis Initiative
A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images
Hepatic artery segmentation with 3D convolutional neural networks
Deciphering deep ensembles for lung nodule analysis
Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma
A comparison study of textural features between FFDM and film mammogram images
Early prediction of metastasis in women with locally advanced breast cancer
Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography
Determination of cup-to-disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs
Computer-aided staging of gastric cancer using radiomics signature on computed tomography imaging
Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage
Weakly-supervised lesion segmentation on CT scans using co-segmentation
Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy
An automatic early stage alveolar-bone-resorption evaluation method on digital dental panoramic radiographs
Automatic diagnosis of inflammatory muscle disease for MRI using computer-extracted features of bivariate histograms
Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data
A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast cancer risk assessment study
A volumetric multi-head attention strategy for lung nodule classification in CT
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control
Algorithm of pulmonary emphysema extraction using thoracic 3D CT images
A graph-theoretic algorithm for small bowel path tracking in CT scans
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images
Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics
Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography
Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin
Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline
RUPNet: residual upsampling network for real-time polyp segmentation
3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation
Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Segmentation of suspicious lesions in dynamic contrast-enhanced breast MR images
Automatic conjunctival provocation test combining Hough circle transform and self-calibrated color measurements
Deep learning for improved polyp detection from synthetic narrow-band imaging
The efficacy of microaneurysms detection with and without vessel segmentation in color retinal images
The U-net and its impact to medical imaging (Conference Presentation)
Vessel discoloration detection in malarial retinopathy
Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI
Follow-up segmentation of lung tumors in PET and CT data
Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions
Hybrid linear classifier for jointly normal data: theory
Attention-deficit/hyperactivity disorder prediction using graph convolutional networks
A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study
Automated detection and classification of major retinal vessels for determination of diameter ratio of arteries and veins
Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment
Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information
Early esophageal cancer detection using RF classifiers
A web-based procedure for liver segmentation in CT images
Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series
Study on discrimination of Alzheimer's disease states using an ensemble neural network's model
Quantitative kinetic analysis of lung nodules by temporal subtraction technique in dynamic chest radiography with a flat panel detector
Analysis of the Vancouver lung nodule malignancy model with respect to manual and automated segmentation
MRI based knee cartilage assessment
Quantitative assessment of multiple sclerosis lesion load using CAD and expert input
Automatic measurement of vertebral body deformations in CT images based on a 3D parametric model
3D U-net for registration of lung nodules in longitudinal CT scans
Detection of degenerative change in lateral projection cervical spine x-ray images
True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching
Conditional random field modelling of interactions between findings in mammography
Influence of signal-to-noise ratio and temporal stability on computer-aided detection of mammographic microcalcifications in digitized screen-film and full-field digital mammography
Dynamic-thresholding level set: a novel computer-aided volumetry method for liver tumors in hepatic CT images
Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions
Identification of asymmetric pulmonary nodule growth using a moment-based algorithm
Computer aided detection of brain micro-bleeds in traumatic brain injury
Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data
Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography
Classification of brain MRI with big data and deep 3D convolutional neural networks
Robust airway extraction based on machine learning and minimum spanning tree
Classification of mammographic masses: use and influence of a bilateral-filter-based flat-texture approach
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol
Semi-quantitative assessment of pulmonary perfusion in children using dynamic contrast-enhanced MRI
Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach
Automatic detection of lung vessel bifurcation in thoracic CT images
Stroke lesion localization in 3D MRI datasets with deep reinforcement learning
Neural networks combined with region growing techniques for tumor detection in [18F]-fluorothymidine dynamic positron emission tomography breast cancer studies
Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics
Distribution fitting-based pixel labeling for histology image segmentation
An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field
Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy
Colorectal polyp classification using confidence-calibrated convolutional neural networks
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT
Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT
Design of a benchmark dataset, similarity metrics, and tools for liver segmentation
Computer-aided detection of human cone photoreceptor inner segments using multi-scale circular voting
Dissimilarity representations in lung parenchyma classification
Automated identification of best-quality coronary artery segments from multiple-phase coronary CT angiography (cCTA) for vessel analysis
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis
Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure
Detection of protruding lesion in wireless capsule endoscopy videos of small intestine
Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans
Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists
CAD scheme to detect hemorrhages and exudates in ocular fundus images
Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study
Automated estimation of breast density on mammogram using combined information of histogram statistics and boundary gradients
Improving breast mass detection using histogram of oriented gradients
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy
A boosted optimal linear learner for retinal vessel segmentation
ARGALI: an automatic cup-to-disc ratio measurement system for glaucoma detection and AnaLysIs framework
Detection of prostate cancer on multiparametric MRI
Application of supervised range-constrained thresholding to extract lung pleura for automated detection of pleural thickenings from thoracic CT images
Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information
Applying a new mammographic imaging marker to predict breast cancer risk
A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification
Toward comprehensive detection of sight threatening retinal disease using a multiscale AM-FM methodology
Overcoming the "catastrophic forgetting" effect in transfer learning to achieve vendor independent performance for the COVID-19 pneumonia classification task using chest x-ray radiographs
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI
Automated alignment of serial thoracic scans using bone structure descriptors
Tumor classification using perfusion volume fractions in breast DCE-MRI
Segmentation and classification of dermatological lesions
Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography