yusuke1997/dblp-id-title huggingface dataset:
Sweet-spot training for early esophageal cancer detection
ICADx: interpretable computer aided diagnosis of breast masses
Identification of corresponding lesions in multiple mammographic views using star-shaped iso-contours
Improved multimodal biomarkers for Alzheimer's disease and mild cognitive impairment diagnosis: data from ADNI
Integration of optical and virtual colonoscopy images for enhanced classification of colorectal polyps
Establishing correspondence in mammograms and tomosynthesis projections
Robust pulmonary lobe segmentation against incomplete fissures
A hybrid active contour model for mass detection in digital breast tomosynthesis
A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study
An outlier filtering approach for machine sourced weak segmentations
Automated detection scheme of architectural distortion in mammograms using adaptive Gabor filter
Computer-aided diagnosis of digital mammography images using unsupervised clustering and biclustering techniques
Description of patellar movement by 3D parameters obtained from dynamic CT acquisition
Computer-aided diagnosis (CAD) for colonoscopy
Categorization of tumor-derived cells from lung cancer with compact deep learning
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features
Texture-based computer-aided diagnosis system for lung fibrosis
Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation
Detection of architectural distortion in prior mammograms using measures of angular distribution
Classification of voting patterns to improve the generalized Hough transform for epiphyses localization
A clinically viable capsule endoscopy video analysis platform for automatic bleeding detection
Computerized organ localization in abdominal CT volume with context-driven generalized Hough transform
Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning
Automated image analysis of uterine cervical images
A versatile knowledge-based clinical imaging annotation system for breast cancer screening
Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer
Computer-aided detection of focal bone metastases from whole-body multi-modal MRI
Statistical image quantification toward optimal scan fusion and change quantification
Quantification of the cerebrospinal fluid from a new whole body MRI sequence
Comparison of computer-aided diagnosis performance and radiologist readings on the LIDC pulmonary nodule dataset
A model based method for recognizing psoas major muscles in torso CT images
Spinal Vertebrae Segmentation and Localization by Transfer Learning
Recognition of upper airway and surrounding structures at MRI in pediatric PCOS and OSAS
Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules
Automatic polyp detection and localization during colonoscopy using convolutional neural networks
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage
Region detection in medical images using HOG classifiers and a body landmark network
A novel approach of computer-aided detection of focal ground-glass opacity in 2D lung CT images
Computer-aided assessment of cardiac computed tomographic images
Modifying U-Net for small dataset: a simplified U-Net version for liver parenchyma segmentation
Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms
Fully automated aortic measurements via CNN-based joint segmentation and localization
Automated determination of arterial input function for DCE-MRI of the prostate
Pulmonary nodule detection using a cascaded SVM classifier
Computerized breast parenchymal analysis on DCE-MRI
Extraction method of interlobar fissure based on multi-slice CT images
A novel framework for the temporal analysis of bone mineral density in metastatic lesions using CT images of the femur
Continuous measurements of mandibular cortical width on dental panoramic radiographs for computer-aided diagnosis of osteoporosis
Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging
Detection of white matter lesions in cerebral small vessel disease
Similarity-based uncertainty scores for computer-aided diagnosis
Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images
A 2D U-NET combined model based on lesion size for automated stroke lesion segmentation
A minimally interactive method to segment enlarged lymph nodes in 3D thoracic CT images using a rotatable spiral-scanning technique
Coronary artery calcification identification and labeling in low-dose chest CT images
Algorithm of pulmonary emphysema extraction using thoracic 3-D CT images
Quantification, validation, and follow-up of small bowel motility in Crohn's disease
Iterative ComBat methods for harmonization of radiomic features
Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN
Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma
Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities
Predictive features of breast cancer on Mexican screening mammography patients
Breast cancer classification with mammography and DCE-MRI
Comparison of image features calculated in different dimensions for computer-aided diagnosis of lung nodules
Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?
A model for the relationship between semantic and content based similarity using LIDC
An analytic, physics-based approach to scoring emphysema in lung CT patients
TESD: a novel ground truth estimation method
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy
Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016
The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis
High-resolution MR imaging using self-supervised parallel network
System for pathology categorization and retrieval in chest radiographs
Incorporation of a multiscale texture-based approach to mutual information matching for improved knowledge-based detection of masses in screening mammograms
Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms
Automated myocardial perfusion from coronary x-ray angiography
Automatic colonic lesion detection and tracking in endoscopic videos
Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms
Automatic detection of ureter lesions in CT urography
Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretization
Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
Lymph node detection in IASLC-defined zones on PET/CT images
Automatic thoracic body region localization
Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations
Interobserver variability effects on computerized volume analysis of treatment response of head and neck lesions in CT
Multispectral brain tumor segmentation based on histogram model adaptation
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions
Front Matter: Volume 9785
Training variability in the evaluation of automated classifiers
Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach
An improved high order texture features extraction method with application to pathological diagnosis of colon lesions for CT colonography
How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology
Lung nodule malignancy prediction in chest CT scans based on a CNN model with auxiliary task learning
Weakly-supervised US breast tumor characterization and localization with a box convolution network
Fully convolutional neural networks for polyp segmentation in colonoscopy
Automated segmentation of cardiac visceral fat in low-dose non-contrast chest CT images
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
An MRI-based radiomics signatures for overall survival prediction of gliomas patients
Robustness evaluation of a computer-aided detection system for pulmonary embolism (PE) in CTPA using independent test set from multiple institutions
Superpixel-based classification of gastric chromoendoscopy images
Benign-malignant mass classification in mammogram using edge weighted local texture features
Bladder cancer segmentation using U-Net-based deep-learning
An information theoretic view of the scheduling problem in whole-body CAD
Kernel descriptors for chest x-ray analysis
An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results
Structural scene analysis and content-based image retrieval applied to bone age assessment
Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention
Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies
Classification of texture patterns in CT lung imaging
Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018
Classification of breast masses and normal tissues in digital tomosynthesis mammography
Automated segmentation of murine lung tumors in x-ray micro-CT images
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography
Heart rate measurement based on face video sequence
Multi-scale feature extraction for learning-based classification of coronary artery stenosis
Computer-aided classification of lesions by means of their kinetic signatures in dynamic contrast-enhanced MR images
An investigation on energy spectral information of computed tomography for machine learning in lesion classification
A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images
Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer
Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation
Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases
Simplified false-positive reduction in computer-aided detection scheme of clustered microcalcifications in digital breast tomosynthesis
Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography
Detection of breast cancer in automated 3D breast ultrasound
Boosting framework for mammographic mass classification with combination of CC and MLO view information
An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification
Quantitative consensus of supervised learners for diffuse lung parenchymal HRCT patterns
A two-view ultrasound CAD system for spina bifida detection using Zernike features
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI
Characterization of aggressive prostate cancer using ultrasound RF time series
An adaptive 3D region growing algorithm to automatically segment and identify thoracic aorta and its centerline using computed tomography angiography scans
Exploring perceptually similar cases with multi-dimensional scaling
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants
Feature selection for computer-aided polyp detection using MRMR
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets
Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study
Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC)
Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement
Prediction of the potential clinical outcomes for post-resuscitated patients after cardiac arrest
Performance evaluation of an automatic segmentation method of cerebral arteries in MRA images by use of a large image database
A new method for detecting colonic polyps based on local intensity structure analysis from 3D abdominal CT images
COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning
Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging
Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders
Automated registration of coronary arterial trees from multiple phases in coronary CT angiography (cCTA)
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data
Counting of RBCs and WBCs in noisy normal blood smear microscopic images
Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features
Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation
The detection of non-polypoid colorectal lesions using the texture feature extracted from intact colon wall: a pilot study
Colonoscopy video quality assessment using hidden Markov random fields
Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions
Segmentation and separation of venous vasculatures in liver CT images
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
Recurrent neural networks for breast lesion classification based on DCE-MRIs
Automatic CAD of meniscal tears on MR imaging: a morphology-based approach
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs
Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign
Deep learning-based detection of anthropometric landmarks in 3D infants head models
Compression fractures detection on CT
Medical knowledge-guided deep learning for mammographic breast density classification
Computer vision approach to detect colonic polyps in computed tomographic colonography
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions
Influence of nuclei segmentation on breast cancer malignancy classification
Addressing imaging accessibility by cross-modality transfer learning
Automated scoring of regional lung perfusion in children from contrast enhanced 3D MRI
Analysis of breast CT lesions using computer-aided diagnosis: an application of neural networks on extracted morphologic and texture features
Exploring deep parametric embeddings for breast CADx
Exploring features towards semantic characterization of lung nodules in computed tomography images
Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network
A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data
Correlative feature analysis of FFDM images
Deep convolutional networks for automated detection of posterior-element fractures on spine CT
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients
Computerized scheme for detection of arterial occlusion in brain MRA images
Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome children
A method for mass candidate detection and an application to liver lesion detection
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment
Using volumetric density estimation in computer aided mass detection in mammography
Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels
Toward automated quantification of biological microstructures using unbiased stereology
Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection
Expanded pharmacokinetic model for population studies in breast MRI
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning
Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods
Integrating shape into an interactive segmentation framework
Quantitative assessment of emphysema from whole lung CT scans: comparison with visual grading
3D active shape models of human brain structures: application to patient-specific mesh generation
Spinal focal lesion detection in multiple myeloma using multimodal image features
Image-based computer-aided prognosis of lung cancer: predicting patient recurrent-free survival via a variational Bayesian mixture modeling framework for cluster analysis of CT histograms
Do pre-trained deep learning models improve computer-aided classification of digital mammograms?
Localized Fisher vector representation for pathology detection in chest radiographs
MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network
Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images
Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players
BAPGAN: GAN-based bone age progression of femur and phalange x-ray images
Micro CT based truth estimation of nodule volume
A deep-learning based automatic pulmonary nodule detection system
Malignant microcalcification clusters detection using unsupervised deep autoencoders
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images
Mass margins spiculations: agreement between ratings by observers and a computer scheme
Feature extraction using convolutional neural network for classifying breast density in mammographic images
Local mammographic density as a predictor of breast cancer
A computer-aided differential diagnosis between UIP and NSIP using automated assessment of the extent and distribution of regional disease patterns at HRCT: comparison with the radiologist's decision
Multi-stage investigation of deep neural networks for COVID-19 B-line feature detection in simulated and in vivo ultrasound images
Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast
Automated anatomical labeling algorithm of bronchial branches based on multi-slice CT images
Training a CAD classifier with correlated data
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom
Comparison of texture models for efficient ultrasound image retrieval
Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis
Semi-automated method to measure pneumonia severity in mice through computed tomography (CT) scan analysis
Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selection
A novel software assistant for the clinical analysis of MR spectroscopy with MeVisLab
Improved ascites segmentation with bladder identification using anatomical location residual U-Net
Classification of interstitial lung disease patterns with topological texture features
Extrapolation techniques for textural characterization of tissue in medical images
Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection
Automatic heart localization and radiographic index computation in chest x-rays
Temporal volume flow: an approach to tracking failure recovery
Real-time esophagus achalasia detection method for esophagoscopy assistance
Computerized scheme for vertebra detection in CT scout image
Automatic lesion tracking for a PET/CT based computer aided cancer therapy monitoring system
Determining degree of optic nerve edema from color fundus photography
Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks
Computer-aided tracking of MS lesions
Detection of retinal changes from illumination normalized fundus images using convolutional neural networks
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features
"Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumors
Image-based diagnostic aid for interstitial lung disease with secondary data integration
Phenotypic characterization of glioblastoma identified through shape descriptors
Automatic detection of plaques with severe stenosis in coronary vessels of CT angiography
Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes
Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms
Automatic seed selection for segmentation of liver cirrhosis in laparoscopic sequences
Classifying magnetic resonance image modalities with convolutional neural networks
Mass detection with digitized screening mammograms by using Gabor features
Automatic segmentation of lesions for the computer-assisted detection in fluorescence urology