yusuke1997/dblp-id-title huggingface dataset:
Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining
Automated detection of kinks from blood vessels for optic cup segmentation in retinal images
Semi-automated measurements of heart-to-mediastinum ratio on 123I-MIBG myocardial scintigrams by using image fusion method with chest X-ray images
Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer
Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes
Intrinsic radiomics phenotypes of DCI from breast DCE-MRI: demonstrating feasibility in interim analysis of the ECOG-ACRIN E4112 trial
Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening
Automatic anatomy partitioning of the torso region on CT images by using a deep convolutional network with majority voting
Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images
Seamless insertion of real pulmonary nodules in chest CT exams
Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views
Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation
Reference state estimation of breast computed tomography for registration with digital mammography
Fast vessel segmentation in retinal images using multi-scale enhancement and second-order local entropy
Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning
Classification of pulmonary nodules in lung CT images using shape and texture features
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats
Assessment of bone fragility in projection images using radiomic features
Search for the best matching ultrasound frame based on spatial and temporal saliencies
Development of a radiogenomic biomarker for tumor characterization and prognosis in non-small cell lung cancer patients
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network
Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers
Computerized detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): improvement of vessel segmentation
Three dimensional breast masses autodetection in cone beam breast CT
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC
Automated detection of Schlemm's canal in spectral-domain optical coherence tomography
A new method for predicting CT lung nodule volume measurement performance
Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images
Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database
Computer-aided detection of colonic polyps using volume rendering
Neutrosophic segmentation of breast lesions for dedicated breast CT
Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features
Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease
Identification of autism spectrum disorder based on MEWISPool and multi-modal learning
Automatic detection of larynx cancer from contrast-enhanced magnetic resonance images
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
Spatio-temporal registration in multiplane MRI acquisitions for 3D colon motiliy analysis
A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography
CNN-based detection of distal tibial fractures in radiographic images in the setting of open growth plates
Audio-visual feature fusion for improved thoracic disease classification
Multi-instance learning for mass retrieval in digitized mammograms
Preliminary investigation on CAD system update: effect of selection of new cases on classifier performance
Automatic detection of pelvic lymph nodes using multiple MR sequences
Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework
Border preserving skin lesion segmentation
Improved classification and visualization of healthy and pathological hard dental tissues by modeling specular reflections in NIR hyperspectral images
Matching colonic polyps using correlation optimized warping
Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: comparison with fixed ADC threshold-based methods
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods
Medical Imaging 2009: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009
Front Matter: Volume 8670
Survey of image denoising methods for medical image classification
Individual bone structure segmentation and labeling from low-dose chest CT
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI
Cephalometric landmark detection in dental x-ray images using convolutional neural networks
Automated detection of presence of mucus foci in airway diseases: preliminary results
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning
Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry
Multi-path deep learning model for automated mammographic density categorization
Automated detection of retinal whitening in malarial retinopathy
Automated measurement of anterior and posterior acetabular sector angles
An adaptive online learning framework for practical breast cancer diagnosis
Computer-aided detection of bladder mass within contrast-enhanced region of CTU
Segmentation of the thoracic aorta using an attention-gated U-Net
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis
Similarity estimation for reference image retrieval in mammograms using convolutional neural network
Coronary artery calcification (CAC) classification with deep convolutional neural networks
A comparison of blood vessel features and local binary patterns for colorectal polyp classification
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy
Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury
Photographic cranial shape analysis using deep learning
Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI
Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images
Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study
Computer aided detection of breast masses in mammography using support vector machine classification
A pairwise image analysis with sparse decomposition
Reduction of lymph tissue false positives in pulmonary embolism detection
Evaluation of lung nodule growth measurement for MDCT exams with different dosages using synthetic nodules
Segmentation of individual ribs from low-dose chest CT
Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images
Improvement of automatic hemorrhage detection methods using brightness correction on fundus images
Analysis of parenchymal texture properties in breast tomosynthesis images
Automatic segmentation of ground-glass opacity nodule on chest CT images by histogram modeling and local contrast
Normalization of T2W-MRI prostate images using Rician a priori
Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI
Analysis of deep convolutional features for detection of lung nodules in computed tomography
Development of a screening tool for staging of diabetic retinopathy in fundus images
A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI
Source separation on hyperspectral cube applied to dermatology
Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation
Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI
Computerized lung cancer malignancy level analysis using 3D texture features
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment
Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients
Front Matter: Volume 7624
Machine learning-based automatic detection of pulmonary trunk
Analysis of texture patterns in medical images with an application to breast imaging
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis
An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT
Robust hepatic vessels segmentation model based on noisy dataset
From code to clinic: challenges in translating ML models into real-world products
Detection of Alzheimer's disease using group lasso SVM-based region selection
Acoustical markers for CAD-detected pulmonary nodules in chest CT: A way to avoid suggestion and distraction of radiologist's attention?
Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images
Detecting airway remodeling in COPD and emphysema using low-dose CT imaging
Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosis
Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data
Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU)
Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels
Computationally-efficient wavelet-based characterization of breast tumors using conventional B-mode ultrasound images
Fast localization of optic disc and fovea in retinal images for eye disease screening
Dynamic automated synovial imaging (DASI) for differential diagnosis of rheumatoid arthritis
A hyperacute stroke segmentation method using 3D U-Net integrated with physicians' knowledge for NCCT
The impact of motion correction on lesion characterization in DCE breast MR images
Human airway measurement from CT images
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis
Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema
Computerized mass detection in whole breast ultrasound images: reduction of false positives using bilateral subtraction technique
Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations
Automatic fetal presentation diagnosis from ultrasound images for rural zones: head location as an indicator for fetal presentation
Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features
Effect of denoising on supervised lung parenchymal clusters
Artery and vein segmentation of the cerebral vasculature in 4D CT using a 3D fully convolutional neural network
Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks
Adaptive contrast-based computer aided detection for pulmonary embolism
Vessel segmentation in screening mammograms
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks
MultiComBat: ComBat harmonization of multiple batch variables
A comparison of basic deinterlacing approaches for a computer assisted diagnosis approach of videoscope images
Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions
CAD of myocardial perfusion
Haustral fold detection method for CT colonography based on difference filter along colon centerline
A vector representation of local image contrast patterns for lesion classification
Eigenvalue-weighting and feature selection for computer-aided polyp detection in CT colonography
The effect of CT technical factors on quantification of lung fissure integrity
Computerized detection of non-calcified plaques in coronary CT angiography: topological soft-gradient detection method for plaque prescreening
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest
Active shape models incorporating isolated landmarks for medical image annotation
Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning
Quantitative analysis of airway abnormalities in CT
Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta
Automatic classification of carotid ultrasound images based on convolutional neural network
Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection
A simple and robust method to screen cataracts using specular reflection appearance
FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development
Multi-test cervical cancer diagnosis with missing data estimation
Computer-aided detection of polyps in optical colonoscopy images
Minimal elastographic modeling of breast cancer for model based tumor detection in a digital image elasto tomography (DIET) system
Automatic mediastinal lymph node detection in chest CT
Automatic liver segmentation in abdominal CT images using combined 2.5D and 3D segmentation networks with high-score shape prior for radiotherapy treatment planning
Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis
Efficient detection of diffuse lung disease
Automatic anatomy partitioning of the torso region on CT images by using multiple organ localizations with a group-wise calibration technique
Scale focusing of statistical shape models for breast region segmentation and pectoral muscle suppression
On-the-fly detection of images with gastritis aspects in magnetically guided capsule endoscopy
Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy
Extraction and visualization of the central chest lymph-node stations
Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors
Classification of left and right eye retinal images
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI
Automated detection of microcalcification clusters in mammograms
A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images
A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer
Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms
General purpose radiomics for multi-modal clinical research
White matter injury detection in neonatal MRI
Transformation-consistent semi-supervised learning for prostate CT radiotherapy
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation
A novel deep learning-based approach to high accuracy breast density estimation in digital mammography
Multiscale quantification of tissue spiculation and distortion for detection of architectural distortion and spiculated mass in mammography
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients
Fractal analysis for assessing tumour grade in microscopic images of breast tissue
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results
An open source implementation of colon CAD in 3D slicer
Coronary artery remodeling in non-contrast CT images
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning
Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography
Automatic anatomy recognition in post-tonsillectomy MR images of obese children with OSAS
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images
A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm
Accurately identifying vertebral levels in large datasets
Weakly-supervised deep learning of interstitial lung disease types on CT images
Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift
Interactive annotation of textures in thoracic CT scans
Multi-atlas-based segmentation of the parotid glands of MR images in patients following head-and-neck cancer radiotherapy
Characterizing pulmonary nodule shape using a boundary-region approach
An intelligent pre-processing framework for standardizing medical images for CAD and other post-processing applications
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus
Improving retinal images segmentation using styleGAN image augmentation
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration
Decision forests for learning prostate cancer probability maps from multiparametric MRI
Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI
An improved method for pancreas segmentation using SLIC and interactive region merging
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest
Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2008
Automated segmentation of geographic atrophy using deep convolutional neural networks
Tensor based multi-modality fusion for prediction of postoperative early recurrence of single hepatocellular carcinoma
Predicting resection volumes within the nasal cavity to improve patients breathing
Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study
Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images
Bruise chromophore concentrations over time
Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration
Detection of juxta-pleural lung nodules in computed tomography images
Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images
Computer aided lung cancer diagnosis with deep learning algorithms
Computer aided segmentation of kidneys using locally shape constrained deformable models on CT images
Retinal image enhancement and registration for the evaluation of longitudinal changes
Variations in algorithm implementation among quantitative texture analysis software packages
Automatic fetal weight estimation using 3D ultrasonography
Generalization error analysis: deep convolutional neural network in mammography
Automated detection of colorectal lesions with dual-energy CT colonography
Automatic age-related macular degeneration detection and staging
Automatic segmentation of relevant structures in DCE MR mammograms
Differentiating solitary pulmonary nodules (SPNs) with 3D shape features
Drug response prediction using deep neural network trained by adaptive resampling of histopathological images
Toward knowledge-enhanced viewing using encyclopedias and model-based segmentation
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data
Lung infection and normal region segmentation from CT volumes of COVID-19 cases
Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images
Semi-automated location identification of catheters in digital chest radiographs
Automatic landmark detection for cervical image registration validation
Interactive breast cancer segmentation based on relevance feedback: from user-centered design to evaluation
Learning-based image preprocessing for robust computer-aided detection
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer
Computer-aided classification of patients with dementia of Alzheimer's type based on cerebral blood flow determined with arterial spin labeling technique
Computer-aided abdominal lymph node detection using contrast-enhanced CT images
Quantification of vocal fold motion using echography: application to recurrent nerve paralysis detection
Developing a task-oriented deep convolutional neural network application towards estimating near-term breast cancer risk: preliminary work
Automated segmentation of reference tissue for prostate cancer localization in dynamic contrast enhanced MRI
Open-world active learning for echocardiography view classification
Lung lesion detection in FDG-PET/CT with Gaussian process regression
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities
Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset
Classification of point-of-care ultrasound in breast imaging using deep learning
Sparse analysis of deep features for characterization of breast masses
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy
Pulmonary nodule detection in PET/CT images: improved approach using combined nodule detection and hybrid FP reduction
Video-based infant monitoring using a CNN-LSTM scheme
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images