yusuke1997/dblp-id-title huggingface dataset:
Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast!
Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation
Performance assessment of texture reproduction in high-resolution CT
Analyzing ROC curves using the effective set-size model
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help
A deep (learning) dive into visual search behaviour of breast radiologists
Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programme
CNN based anthropomorphic model observer for defect localization
Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial
Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task
Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise
Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, Online, February 15-19, 2021
Observer study to evaluate the simulation of mammographic calcification clusters
Optimizing data acquisition in undersampled magnetic resonance imaging (MRI) using two alternative forced choice (2-AFC) and search tasks
Impact of large x-ray beam collimation on image quality
Grayscale contrast enhancement based on greyscale-based contrast-to-noise ratio
Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images
Sequestration of imaging studies in MIDRC: a multi-institutional data commons
New difference of Gaussian channel-sets for the channelized Hotelling observer?
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images
Deep learning channelized Hotelling observer for multi-vendor DBT system image quality evaluation
Discriminatory power of common genetic variants in personalized breast cancer diagnosis
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study
Investigating the potential of a gist-sensitive computer-aided detection tool
Network output visualization to uncover limitations of deep learning detection of pneumothorax
Prostate Imaging Self-assessment and Mentoring (PRISM): a prototype self-assessment scheme
Reader Disagreement Index: a better measure of overall review quality monitoring in an oncology trial compared to adjudication rate
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study
A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization
Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation
Optimizing model observer performance in learning-based CT reconstruction
Luminance level of a monitor: influence on detectability and detection rate of breast cancer in 2D mammography
The reliability of radiologists' first impression interpreting a screening mammogram
Can a totally different approach to soft tissue computer aided detection CADE result in affecting radiologists' decisions?
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study
Predictive accuracy of model observers in lesion discrimination tasks
Validation of no-reference image quality index for the assessment of digital mammographic images
Cellular automata segmentation of the boundary between the compacta of vertebral bodies and surrounding structures
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction
Feasibility study of deep convolutional generative adversarial networks to generate mammography images
Comparison of deep learning architectures for COVID-19 diagnosis using chest X-ray images
A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images
Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study
Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET
Study of CT image texture using deep learning techniques
Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images
BI-RADS density categorization using deep neural networks
Implementation of CNN-based multi-slice model observer for 3D cone beam CT
Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers
How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training
Configuring medical displays for high- and stable-image contrast in bright rooms
Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers
Development of a validation instrument in myocardial perfusion imaging: results of first flow experiments
Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot
Understanding digital pathology performance: an eye tracking study
Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images
The study on the color reproduction by illumination source for disposable endoscope
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment
Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST)
Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samples
Inter-observer variability within BI-RADS and RANZCR mammographic density assessment schemes
Towards the use of computationally inserted lesions for mammographic CAD assessment
Human visual property based grayscale contrast enhancement: phantom-based effectiveness assessment
The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar
The potential of pigeons as surrogate observers in medical image perception studies
Semi-blinded freehand 3D ultrasound with novice users
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory
Implementation of an ideal observer model using convolutional neural network for breast CT images
Impact of patient photos on visual search during radiograph interpretation
Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization
Camera-based distance detection and contact tracing to monitor potential spread of COVID-19
Performance of list mode Hotelling observer and comparison to a neural network observer
Individualized and generalized learner models for predicting missed hepatic metastases
Towards a video quality assessment based framework for enhancement of laparoscopic videos
Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 21-23, 2023
A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography
The classification of normal screening mammograms
No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise
A utility/cost analysis of breast cancer risk prediction algorithms
Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalities
Investigating the limited performance of a deep-learning-based SPECT denoising approach: an observer-study-based characterization
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis
Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods
Breast density in Saudi Arabia: intra and inter reader variability in screening mammograms assessed visually using BI-RADS and visual analogue scales
Blind CT image quality assessment via deep learning strategy: initial study
Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers
Limitation of acyclic oriented graphs matching as cell tracking accuracy measure when evaluating mitosis
Comparison of synthetic 2D images with planar and tomosynthesis imaging of the breast using a virtual clinical trial
Visual-search observers for SPECT simulations with clinical backgrounds
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors
Influence of deep learning reconstruction on task-based model observer performance in CT: an anthropomorphic head phantom study
Automatic strategy for CHO channel reduction in x-ray angiography systems
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries
Blinding of the second reader in mammography screening: impact on behaviour and cancer detection
2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model
Adaptive sample size re-estimation in MRMC studies
Quantitative image quality evaluation for cardiac CT reconstructions
Reader performance in visual assessment of breast density using visual analogue scales: are some readers more predictive of breast cancer?
Blue light filtering glasses and computer vision syndrome: a pilot study
Location- and lesion-dependent estimation of background tissue complexity for anthropomorphic model observer
Spectral assessment of radiation therapy-induced skin erythema
Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution
Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis
Towards the objective assessment of fluoroscopy systems: development of a framework to aid the design of tasks and metrics
Test-set training is linked to increased breast screening cancer detection rates
The impact of radiology expertise upon the localization of subtle pulmonary lesions
High volume chest radiography to facilitate pulmonary nodule identification on chest radiographs
Influence of magnet strength on background parenchymal enhancement evaluation
Using "Reader Disagreement Index" as a predictive reviewer performance monitoring tool for timely intervention
Autoencoder embedding of task-specific information
Investigating reading strategies and eye behaviours associated with high diagnostic performance when reading digital breast tomosynthesis (DBT) images
Analysis of a pilot study collecting pathologist annotations for validating machine learning algorithms
The effectiveness of the cranio-caudal mammogram projection among radiologists
Correlation between model observers in uniform background and human observer in patient liver background for a low-contrast detection task in CT
Do radiographers base the diagnostic acceptability of a radiograph on anatomical structures?
AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays
Blink identification with eye tracking: a software processing program
Efficiency gain of paired split-plot designs in MRMC ROC studies
Deep learning-based model observers that replicate human observers for PET imaging
Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications
Is this good enough? On expert perception of brain tumor segmentation quality
Test set participation may impact positively on clinical mammographic performance
Detection of pulmonary nodule growth with dose reduced chest tomosynthesis: a human observer study using simulated nodules
The interplay of attention economics and computer-aided detection marks in screening mammography
Observer templates in 2D and 3D localization tasks
Task-based optimization of flip angle for texture analysis in MRI
GAN generated model observer for one class detection in SPECT imaging
Human-AI collaboration (Conference Presentation)
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020
Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary study
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms
A practical method to evaluate personalized injected patient dose for cardiac perfusion SPECT imaging: the polar map as a numerical observer
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction
Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation
Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February - 3 March 2016
Estimating latent reader-performance variability using the Obuchowski-Rockette method
Front Matter: Volume 9787
Effect of CAD system with a vessel suppression function on clinical lung nodule detection in chest CT scans
The perceptual influence of 2D synthesized images on 3D search
Task-based detectability comparison of exponential transformation of free-response operating characteristic (EFROC) curve and channelized Hotelling observer (CHO)
Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018
Experience does not protect against missed incidental-findings in radiology
Evaluation of a machine learning based model observer for x-ray CT
Proper bibeta ROC model: algorithm, software, and performance evaluation
Observer-driven texture analysis in CT imaging
Learning observer design for object detection under complex background and variant locations: an application in IQ assessment with spectrum shaping technique for ultra-low dose lung imaging
Learned Hotelling observers for use with multi-modal data
Learning stochastic object model from noisy imaging measurements using AmbientGANs
Assessing regularization in tomographic imaging via hallucinations in the null space
Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation)
Assessment of boundary discrimination performance in a printed phantom
Evaluation of image quality of MRI data for brain tumor surgery
Class classification using two alternate force choice against an ensemble of normal examples
Importance of the grayscale in early assessment of image quality gains with iterative CT reconstruction
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists
Human observer templates for lesion discrimination tasks
Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images
New conversion factors between human and automatic readouts of the CDMAM phantom for CR systems
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms
Validated novel software to measure the conspicuity index of lesions in DICOM images
Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers
Potential workflow advantages with single 8MP versus dual 5MP displays
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features
A task-informed model training method for deep neural network-based image denoising
Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities
A four-alternative forced choice (4AFC) software for observer performance evaluation in radiology
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis
Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data
Deep learning based model observer by U-Net
The relationship between breast screening readers' real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation)
Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 16-21 February 2019
Supervised learning of model observers for assessment of CT image reconstruction algorithms
Development and application of a channelized Hotelling observer for DBT optimization on structured background test images with mass simulating targets
Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection
Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis
Assessment of manual and automated intracranial artery diameter measurements
Radiation therapy induced-erythema: comparison of spectroscopic diffuse reflectance measurements and visual assessment
Effect of time of day on radiology image interpretations
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on read-data or conjectured Obuchowski-Rockette parameter estimates
Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances?
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements
A training program to reduce reader search errors for liver metastasis detection in CT
Satisfaction of search (SOS) error and new lesions identification on imaging in central review for clinical trials
Local-search based prediction of medical image registration error
Low-dose CT denoising via CNN trained using images with activation map
Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality
Effect of observer variability and training cases on U-Net segmentation performance
Quality metrics can help the expert during neurological clinical trials
Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor
Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions
Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features
Resampling techniques comparison for CHO's performance and uncertainty estimation
Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT)
Breast elastography: Identification of benign and malignant cancer based on absolute elastic modulus measurement using vibro-elastography
Variability amongst radiographers in the categorization of clinical acceptability for digital trauma radiography
Perceptual image quality in digital dermoscopy
Modeling human observer detection in undersampled magnetic resonance imaging (MRI)
Spatiotemporal characteristics of medical extended-reality systems
Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT
Obuchowski-Rockette analysis for Multi-Reader Multi-Case (MRMC) readers-nested-in-test study design with unequal numbers of readers
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction
Understanding CNN based anthropomorphic model observer using classification images
Advancing the AmbientGAN for learning stochastic object models
Learning efficient channels with a dual loss autoencoder
Investigating the link between the radiological experience and the allocation of an 'equivocal finding'
Quantitative imaging features to predict cancer status in lung nodules
Learning the ideal observer for SKE detection tasks by use of convolutional neural networks
Impact of two types of image processing on cancer detection in mammography
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading
Interpretable deep learning models for better clinician-AI communication in clinical mammography
Machine-learning model observer for detection and localization tasks in clinical SPECT-MPI
Using reader disagreement index as a tool for monitoring impact on read quality due to reader fatigue in central reviewers
Simulation of multi-reader multi-case study data with realistic ROC performance characteristics
Quantra reproduces BI-RADS assessment on a two-point scale
Template models for forced-localization tasks
Welcome and introduction to the SPIE Image Perception, Observer Performance, and Technology Assessment Conference 11599
A visibility overshoot index for interventional x-ray image quality assessment
Restored low-dose digital breast tomosynthesis: a perception study
Learning numerical observers using unsupervised domain adaptation
Brain vasculature segmentation based on human perception criteria
Optimal visual search strategy with inter-saccade response correlations
A user interface to communicate interpretable AI decisions to radiologists
Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique
Task-specific evaluation of clinical pediatric fluoroscopy systems
Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation
Supervised learning-based ideal observer approximation for joint detection and estimation tasks
Ischemic stroke enhancement in computed tomography scans using a computational approach
Assessment of DBT acquisition parameters for 2D and 3D search tasks
In-vitro and in-vivo comparison of radiation dose estimates between state-of-the-art interventional fluoroscopy systems
Observer study-based evaluation of TGAN architecture used to generate oncological PET images
Evaluation of the possibility to use thick slabs of reconstructed outer breast tomosynthesis slice images
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms
Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imaging
Towards a surround-aware numerical observer
Where's WALDO: a potential tool for training radiology residents?
Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT
Three scenarios of ranking inconsistencies involving search tasks
An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging
Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view
Utilizing network analysis in blinded independent central review for clinical trials as adjudication agreement dashboard