yusuke1997/dblp-id-title huggingface dataset:
Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS)
A study of retrieval accuracy of pulmonary nodules based on external attachment
Computer-aided lymph node detection in abdominal CT images
Automatic location of microscopic focal planes for computerized stereology
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer
Perceptual mass segmentation using eye-tracking and seed-growing
Automated classification of intravenous contrast enhancement phase of CT scans using residual networks
Automatic pathology classification using a single feature machine learning support - vector machines
Prediction of brain tumor progression using multiple histogram matched MRI scans
Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification
Combination of lateral and PA view radiographs to study development of knee OA and associated pain
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer
A universal approach for automatic organ segmentations on 3D CT images based on organ localization and 3D GrabCut
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features
Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds
Automated contralateral subtraction of dental panoramic radiographs for detecting abnormalities in paranasal sinus
Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans
Renal tumor analysis using multi-phase abdominal CT images
Pneumothorax detection in chest radiographs using local and global texture signatures
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection
Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric model
Computer-aided detection of bladder masses in CT urography (CTU)
Lumbar spinal stenosis CAD from clinical MRM and MRI based on inter- and intra-context features with a two-level classifier
Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation
Detecting COVID-19 from respiratory sound recordings with transformers
Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood
Resampling method for balancing training data in video analysis
Computer aided classification of cell nuclei in the gastrointestinal tract by volume and principal axis
Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images
A combined algorithm for breast MRI motion correction
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy
Anatomically constrained maximum likelihood estimation for estimating retinal thickness from scanning laser ophthalmoscope data
Unsupervised survival prediction model from CT images of patients with COVID-19
A method for automatic matching of multi-timepoint findings for enhanced clinical workflow
Spotlight scheme: enhancing medical image classification with lesion location information
Correlation analysis between pulmonary function test parameters and CT image parameters of emphysema
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays
Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma
Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms
CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest x-ray images
Automated fetal spine detection in ultrasound images
Computer assisted optical biopsy for colorectal polyps
Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net
Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases
Deep learning methods for segmentation of lines in pediatric chest radiographs
Detection of eardrum abnormalities using ensemble deep learning approaches
Bone age assessment by content-based image retrieval and case-based reasoning
Fusion of clinical phenotypic and multi-modal MRI for acute bilirubin encephalopathy classification
Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
Follicular lymphoma grading using cell-graphs and multi-scale feature analysis
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features
Narrow-band imaging for the computer assisted diagnosis in patients with Barrett's esophagus
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations
Quantitative assessment of smoking-induced emphysema progression in longitudinal CT screening for lung cancer
A new method to efficiently reduce histogram dimensionality
MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma
Automatic 3D lesion segmentation on breast ultrasound images
Comparison of biophysical factors influencing on emphysema quantification with low-dose CT
Modality agnostic intracranial aneurysm detection through supervised vascular surface classification
Efficient SVM classifier based on color and texture region features for wound tissue images
Computer-aided interpretation of ICU portable chest images: automated detection of endotracheal tubes
Fine-tuning convolutional deep features for MRI based brain tumor classification
A deep network ensemble for segmentation of cervical spinal cord and neural foramina
Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change
Characterization of T2 hyperintensity lesions in patients with mild traumatic brain injury
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network
Myocardial wall thickening from gated magnetic resonance images using Laplace's equation
Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images
Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation
Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images
Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography
Multiple-instance learning for computer-aided detection of tuberculosis
Colonoscopic polyp detection using convolutional neural networks
Risk assessment of sleeping disorder breathing based on upper airway centerline evaluation
Quantitative analysis of the central-chest lymph nodes based on 3D MDCT image data
Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images
Automatic detection of anatomical regions in frontal x-ray images: comparing convolutional neural networks to random forest
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers
An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration
A post-acquisition standardization method for positron emission tomography images
Comparison of computer versus manual determination of pulmonary nodule volumes in CT scans
Surgical retained foreign object (RFO) prevention by computer aided detection (CAD)
BCC skin cancer diagnosis based on texture analysis techniques
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity
A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images
Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary study
Fully automated cascaded approach for renal mass detection on T2 weighted MRI images
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs
Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
Automatic lumen segmentation from intravascular OCT images
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning
A new mass classification system derived from multiple features and a trained MLP model
Computer aided diagnosis of osteoporosis using multi-slice CT images
Computer aided detection of tumor and edema in brain FLAIR magnetic resonance image using ANN
Direct visualization of regions with lowered bone mineral density in dual-energy CT images of vertebrae
A method for automatic liver segmentation from multi-phase contrast-enhanced CT images
Prostate cancer diagnosis using deep learning with 3D multiparametric MRI
Joint deep shape and appearance learning: application to optic pathway glioma segmentation
Computer-aided diagnosis for osteoporosis using chest 3D CT images
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI
Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database
Automatic identification of intracranial hemorrhage in non-contrast CT with large slice thickness for trauma cases
Automatic anatomy recognition on CT images with pathology
Adaptive geodesic transform for segmentation of vertebrae on CT images
The edge-driven dual-bootstrap iterative closest point algorithm for multimodal retinal image registration
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation)
Characterization of vascular tree architecture using the Tokunaga taxonomy
Bone, blood vessels, and muscle detection algorithm and creating database based on dynamic and non-dynamic multi-slice CT image of head and neck
A CAD system for assessment of MRI findings to track the progression of multiple sclerosis
Segmentation propagation for the automated quantification of ventricle volume from serial MRI
Growth-pattern classification of pulmonary nodules based on variation of CT number histogram and its potential usefulness in nodule differentiation
Robust tumor morphometry in multispectral fluorescence microscopy
Automatic detection of rib metastasis in chest CT volume data
Stability of deep features across CT scanners and field of view using a physical phantom
Quality controlled segmentation to aid disease detection
DCGANs for realistic breast mass augmentation in x-ray mammography
Cranial localization in 2D cranial ultrasound images using deep neural networks
Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis
Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis
Automatic differentiation of melanoma and clark nevus skin lesions
Dual-energy electronic cleansing for non-cathartic CT colonography: a phantom study
Prostate cancer region prediction using MALDI mass spectra
Detection of convergence areas in digital breast tomosynthesis using a contrario modeling
Computer-aided diagnosis of breast color elastography
Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk
Robust anatomy detection from CT topograms
Tooth recognition and classification using multi-task learning and post-processing in dental panoramic radiographs
Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherarpy
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images
Comprehensive eye evaluation algorithm
Case-based statistical learning applied to SPECT image classification
Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach
Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective cases
Reinforced learning from serial CT to improve the early diagnosis of lung cancer in screening
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses
Computer aided detection system for Osteoporosis using low dose thoracic 3D CT images
Differential diagnosis of pulmonary nodules using 3D CT images
Comparison of CNN architectures and training strategies for quantitative analysis of idiopathic interstitial pneumonia
Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI
Multi-resolution CNN for brain vessel segmentation from cerebrovascular images of intracranial aneurysm: a comparison of U-Net and DeepMedic
A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules
Support vector machines for prostate lesion classification
Computer-based detection of age-related macular degeneration and glaucoma using retinal images and clinical data
Automatic detection of diabetic retinopathy features in ultra-wide field retinal images
NesT UNet: pure transformer segmentation network with an application for automatic cardiac myocardial infarction evaluation
Curved planar reformation and optimal path tracing (CROP) method for false positive reduction in computer-aided detection of pulmonary embolism in CTPA
Improving pulmonary lobe segmentation on expiratory CTs by using aligned inspiratory CTs
Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans
Multi-channel medical image segmentation method in Hessian domain
Prediction of tumor volumes using an exponential model
Peripleural lung disease detection based on multi-slice CT images
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19
Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images
An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategies
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique
Spatial context learning approach to automatic segmentation of pleural effusion in chest computed tomography images
Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma
Anterior cruciate ligament classification in knee MRI using automated pseudo-masking
Automated detection of pulmonary nodules in CT: false positive reduction by combining multiple classifiers
MRI image harmonization using cycle-consistent generative adversarial network
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system
New algorithm for detecting smaller retinal blood vessels in fundus images
Quantitative evaluation of Alzheimer's disease
Polyp segmentation and classification using predicted depth from monocular endoscopy
Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach
Content-based image retrieval applied to bone age assessment
Fully automated calculation of cardiothoracic ratio in digital chest radiographs
Automated matching of supine and prone colonic polyps based on PCA and SVMs
Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography
Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm
Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching
Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes
Estimation of cartilaginous region in noncontrast CT of the chest
Decoding Radiology: A Brief History
Reduction of false positives by machine learning for computer-aided detection of colonic polyps
Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation
Automated method for the identification and analysis of vascular tree structures in retinal vessel network
Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer
Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver
Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset
Image biomarkers for quantitative analysis of idiopathic interstitial pneumonia
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images
Advanced magnetic resonance imaging based algorithm for local grading of glioma
Automatic staging of bladder cancer on CT urography
Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning
Automatic teniae coli detection for computed tomography colonography
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans
Breast mass characterization using sparse approximations of patch-sampled deep features
Segmentation based microscope autofocusing for blood smears
Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma
Performance levels for computerized detection of nodules in different size and pattern groups on thin-slice CT
Detection of the nipple in automated 3D breast ultrasound using coronal slab-average-projection and cumulative probability map
Automated scoring system of standard uptake value for torso FDG-PET images
Computerized identification of early ischemic changes in acute stroke in noncontrast CT using deep learning
Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut
Automated assessment of aortic and main pulmonary arterial diameters using model-based blood vessel segmentation for predicting chronic thromboembolic pulmonary hypertension in low-Dose CT lung screening
Similar CT image retrieval method based on lesion nature and their three-dimensional distribution
Automated segmentation of tumors on bone scans using anatomy-specific thresholding
Will AI make me a better doctor? (Conference Presentation)
Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging
Fully-automated segmentation of optic disk from retinal images using deep learning techniques
Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism
Quantification of pulmonary vessel diameter in low-dose CT images
Preoperative volume determination for pituitary adenoma
Computerized scheme for lung nodule detection in multi-projection chest radiography
Deep-learning derived features for lung nodule classification with limited datasets
Computer-assisted lesion detection system for stomach screening using stomach shape and appearance models
Repeatability and noise robustness of spicularity features for computer aided characterization of pulmonary nodules in CT
Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy
Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation
Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI
Effective user guidance in online interactive semantic segmentation
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score
Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities
Combinational feature optimization for classification of lung tissue images
Diagnosis of OCD using functional connectome and Riemann kernel PCA
Segmentation and automated measurement of chronic wound images: probability map approach
Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features
From medical imaging to computer simulation of fractional flow reserve in four coronary artery trees
Dense-layer-based YOLO-v3 for detection and localization of colon perforations
Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder
Toward computer-aided emphysema quantification on ultralow-dose CT: reproducibility of ventrodorsal gravity effect measurement and correction
Lung partitioning for x-ray CAD applications
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models
Improving CAD performance in pulmonary embolism detection: preliminary investigation
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models