Miguel P. Eckstein

发表

Template models for forced-localization tasks

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2019, Medical Imaging.

First fixations during face identification are invariant to rotation and scale

Miguel P. Eckstein, Matthew F. Peterson, 2013 .

Saccadic and perceptual accuracies in a visual-search detection task are similar over a wide range of external noise levels

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2010 .

Computational models of visual attention

Michael S. Landy, Miguel P. Eckstein, John K. Tsotsos, 2011, Vision Research.

The temporal dynamics of attention in a spatial cueing task revealed by classification movies

Miguel P. Eckstein, Kelly Y. Chen, Steven S. Shimozaki, 2010 .

Effects of performing two visual tasks on single-trial detection of event-related potentials

Miguel P. Eckstein, Hubert Cecotti, Barry Giesbrecht, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Image discrimination models predict signal detection in natural medical image backgrounds

Miguel P. Eckstein, Andrew B. Watson, Albert J. Ahumada, 1997, Electronic Imaging.

A likelihood based metric to compare human and model eye movement fixations during visual search

Miguel P. Eckstein, Wade Schoonveld, 2010 .

Isolating the Neural Mechanisms of Interference during Continuous Multisensory Dual-task Performance

Jon Touryan, Miguel P. Eckstein, Hubert Cecotti, 2014, Journal of Cognitive Neuroscience.

A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images

Craig K. Abbey, Miguel P. Eckstein, M. A. Lago, 2019, Medical Imaging.

Perceptual learning of discriminating features for facial recognition

Miguel P. Eckstein, Matthew F. Peterson, 2010 .

Predicting Perceptual Performance From Neural Activity

Miguel P. Eckstein, Zoe Kourtzi, Koel Das, 2010 .

The use of the eyes for human face recognition explained through information distribution analysis

Miguel P. Eckstein, Matthew F. Peterson, Ian Cox, 2010 .

Human-observer templates for detection of a simulated lesion in mammographic images

Craig K. Abbey, Miguel P. Eckstein, Carey E. Floyd, 2002, SPIE Medical Imaging.

Modeling observer performance for optimizing medical image acquisition and processing

Craig K. Abbey, Miguel P. Eckstein, 2012, Electronic Imaging.

A signal detection analysis of the effects of repeated context on visual search

Miguel P. Eckstein, Barry Giesbrecht, Ryan W. Kasper, 2012, CogSci.

Adaptive group integration rules in a signal detection task

Miguel P. Eckstein, Mordechai Z. Juni, 2013 .

Perceptual Image Compression in Telemedicine

Miguel P. Eckstein, Albert J. Ahumada, Andrew B. Watson, 1996 .

Mixed Human-Robot Team Surveillance pdf

Vaibhav Srivastava, Miguel P. Eckstein, Francesco Bullo, 2013, ArXiv.

Optimization of model observer performance for signal known exactly but variable tasks leads to optimized performance in signal known statistically tasks

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2003, SPIE Medical Imaging.

Assessment of Faster R-CNN in Man-Machine Collaborative Search

Miguel P. Eckstein, Amit Surana, Arturo Deza, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to discount noise

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2010 .

Neural decoding of collective wisdom with multi-brain computing

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2012, NeuroImage.

Discounting probabilistic masks

Miguel P. Eckstein, Yani Zhang, Binh Thai Pham, 2010 .

Interactions of lesion detectability and size across single-slice DBT and 3D DBT

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2018, Medical Imaging.

Detection and contrast discrimination of moving signals in uncorrelated Gaussian noise

Miguel P. Eckstein, James S. Whiting, James P. Thomas, 1996, Medical Imaging.

Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels

Craig K. Abbey, Miguel P. Eckstein, Francis R. Verdun, 2015, IEEE Transactions on Medical Imaging.

A Practical Guide to Model Observers for Visual Detection in Synthetic and Natural Noisy Images

Craig K. Abbey, Miguel P. Eckstein, François Bochud, 2000 .

Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering

Miguel P. Eckstein, Hubert Cecotti, Barry Giesbrecht, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Optimal and suboptimal models of oddity search

Miguel P. Eckstein, Steven S. Shimozaki, Wade Schoonveld, 2005 .

Contrast effects in rapid learning of a visual detection task

Craig K. Abbey, Miguel P. Eckstein, Steven S. Shimozaki, 2005 .

Medical Imaging 2005: Image Perception, Observer Performance, And Technology Assessment

Miguel P. Eckstein, Yulei Jiang, M. Eckstein, 2005 .

Classification Images in Free-Localization Tasks with Gaussian Noise

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2010 .

Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition

Miguel P. Eckstein, Hubert Cecotti, Barry Giesbrecht, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neural decoding of semantic processing during the attentional blink

Craig K. Abbey, Miguel P. Eckstein, Barry Giesbrecht, 2010 .

Human observer templates for lesion discrimination tasks

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2020, Medical Imaging.

fMRI evidence for the neural representation of target detection in natural scenes

Miguel P. Eckstein, Fei Guo, Barry Giesbrecht, 2011 .

Variation in Saccadic Dead Time A Population Coding Account for Systematic

Miguel P. Eckstein, Frans A. J. Verstraten, Iain D. Gilchrist, 2015 .

Object detection through search with a foveated visual system pdf

Miguel P. Eckstein, Emre Akbas, Emre Akbas, 2014, PLoS Comput. Biol..

Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task

Miguel P. Eckstein, Hubert Cecotti, Barry Giesbrecht, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Psychophysical evaluation of the effect of JPEG, full-frame discrete cosine transform (DCT) and wavelet image compression on signal detection in medical image noise

Miguel P. Eckstein, Craig A. Morioka, James Stuart Whiting, 1995, Medical Imaging.

Observer Models as a Surrogate to Perception Experiments

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2018, The Handbook of Medical Image Perception and Techniques.

Mass detection in breast tomosynthesis and digital mammography: a model observer study

Craig K. Abbey, Miguel P. Eckstein, François Bochud, 2009, Medical Imaging.

Optimal searcher, saccadic targeting model, and human eye movements during search: Effects of target visibility maps

Miguel P. Eckstein, Wade Schoonveld, 2010 .

Model observer optimization of JPEG image compression

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 2000 .

JPEG 2000 encoder options on model observer performance in signal known exactly but variable tasks (SKEV)

Miguel P. Eckstein, Yani Zhang, Binh Thai Pham, 2003, SPIE Medical Imaging.

Finding people in scenes: neural decoding target presence during search of dynamic scenes

Miguel P. Eckstein, Eamon Caddigan, Barry Giesbrecht, 2014 .

Quantifying the limitations of the use of consensus expert committees in ROC studies

Miguel P. Eckstein, Craig A. Morioka, Thomas D. Wickens, 1998, Medical Imaging.

Higher-order scene statistics of breast images

Craig K. Abbey, Miguel P. Eckstein, Bruno A. Olshausen, 2009, Medical Imaging.

A framework for machine vision based on neuro-mimetic front end processing and clustering

Miguel P. Eckstein, Upamanyu Madhow, Emre Akbas, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Detrimental effect of spatial cues predicted by a foveated Maximum a Posteriori eye movement model

Miguel P. Eckstein, Stephen C. Mack, 2012 .

Human versus Bayesian Optimal Learning of Eye Movement Strategies During Visual Search

Miguel P. Eckstein, Matthew F. Peterson, Emre Akbas, 2012 .

Optimizing eye movements in search for rewards

Sheng Zhang, Miguel P. Eckstein, Wade Schoonveld, 2010 .

Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms

Miguel P. Eckstein, Yani Zhang, Binh Pham, 2004, IEEE Transactions on Medical Imaging.

Estimates of human-observer templates for a simple detection task in correlated noise

Craig K. Abbey, Miguel P. Eckstein, 2000, Medical Imaging.

Approximate maximum likelihood estimation of scanning observer templates

Craig K. Abbey, Frank W. Samuelson, Miguel P. Eckstein, 2015, Medical Imaging.

Multiclass classification of single-trial evoked EEG responses

Anthony J. Ries, Miguel P. Eckstein, Hubert Cecotti, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography

Craig K. Abbey, Miguel P. Eckstein, Craig A. Morioka, 1999, Medical Imaging.

Further investigation of the effect of phase spectrum on visual detection in structured backgrounds

Craig K. Abbey, Miguel P. Eckstein, Francois O. Bochud, 1999, Medical Imaging.

Mass detection on mammograms: signal variations and performance changes for human and model observers

Craig K. Abbey, Miguel P. Eckstein, Ehsan Samei, 2008, SPIE Medical Imaging.

Contextual cues facilitate search in real world 3-D environments

Miguel P. Eckstein, Wade Schoonveld, Stephen C. Mack, 2010 .

Multimodal target detection using single trial evoked EEG responses in single and dual-tasks

Miguel P. Eckstein, Hubert Cecotti, Barry Giesbrecht, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fixation sequence consistency during face identification

Miguel P. Eckstein, Yuliy Tsank, 2016 .

Metrics of medical image quality: task-based model observers vs. image discrimination/perceptual difference models

Miguel P. Eckstein, Yani Zhang, Binh Thai Pham, 2004, SPIE Medical Imaging.

Effect of image compression in model and human performance

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 1999, Medical Imaging.

Image quality: Introduction

Miguel P. Eckstein, Kyle J. Myers, Matthew A. Kupinski, 2007 .

Assessing models of visual saliency against explicit saliency judgments from one hundred humans viewing eight hundred real scenes

Miguel P. Eckstein, Sheng Zhang, Fei Guo, 2011 .

Effect of additive noise, signal contrast, and feature motion on visual detection in structured noise

Miguel P. Eckstein, Craig A. Morioka, James S. Whiting, 1996, Medical Imaging.

Classification images reveal that saccades and perception use similar shape information in a visual search task.

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2004 .

Predicting contextual locations in natural scenes from neural activity

Miguel P. Eckstein, Fei Guo, Koel Das, 2010 .

The accumulation of visual information driving the 1st saccade during visual search probed with spatiotemporal noise

Miguel P. Eckstein, Brent R. Beutter, Avi Caspi, 2010 .

Evolution and Optimality of Similar Neural Mechanisms for Perception and Action during Search

Miguel P. Eckstein, Sheng Zhang, M. Eckstein, 2010, PLoS Comput. Biol..

Uncertain humans in a structurally certain world: attentional leaking with 100% valid postcues as seen by classification images

Craig K. Abbey, Miguel P. Eckstein, Steve S. Shimozaki, 2002 .

Low contrast detectability in CT for human and model observers in multi-slice data sets

Miguel P. Eckstein, Damien Racine, Alexandre Ba, 2015, Medical Imaging.

Saccadic targetting during visual search for letters

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2002 .

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2010 .

Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2002, IEEE Transactions on Medical Imaging.

Towards Metamerism via Foveated Style Transfer pdf

Miguel P. Eckstein, Arturo Deza, Aditya Jonnalagadda, 2017, ICLR.

Mass detection on real and synthetic mammograms: human observer templates and local statistics

Craig K. Abbey, Miguel P. Eckstein, Francis R. Verdun, 2007, SPIE Medical Imaging.

Effect of image compression for model and human observers in signal-known-statistically tasks

Craig K. Abbey, Miguel P. Eckstein, Binh Thai Pham, 2002, SPIE Medical Imaging.

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?

Miguel P. Eckstein, Arturo Deza, M. Eckstein, 2016, NIPS.

Decoding Information Processing When Attention Fails: An Electrophysiological Approach

Miguel P. Eckstein, Koel Das, Barry Giesbrecht, 2010 .

Short term negative learning produced by monitoring erroneous templates

Craig K. Abbey, Miguel P. Eckstein, Steve S. Shimozaki, 2010 .

Automatic neural coding of open and closed scenes in RSC and PPA during visual search

Miguel P. Eckstein, Fei Guo, Barry Giesbrecht, 2012 .

The effect of nonlinear human visual system components on performance of a channelized Hotelling observer in structured backgrounds

Miguel P. Eckstein, Yani Zhang, Binh Pham, 2006, IEEE Transactions on Medical Imaging.

The effect of non-linear human visual system components on linear model observers

Miguel P. Eckstein, Yani Zhang, Binh Thai Pham, 2004, SPIE Medical Imaging.

How the perceptual template expands across the visual field with learning: a classification image study.

Miguel P. Eckstein, Ilmari Kurki, 2012 .

Model observers for signal-known-statistically tasks (SKS)

Craig K. Abbey, Miguel P. Eckstein, 2001, SPIE Medical Imaging.

Neural decoding during continuous task performance

Miguel P. Eckstein, Koel Das, Barry Giesbrecht, 2011 .

Disrupting features in faces: Configural representations or interaction with foveated vision?

Miguel P. Eckstein, Xiao Han, Yuliy Tsank, 2018 .

WE-E-I-609-01: Advances In Perception & Visualization

Miguel P. Eckstein, Ehsan Samei, Elizabeth A. Krupinski, 2005 .

Observer adaptation to unnatural CT-like noise textures

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, 2019, Journal of Vision.

Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms

Miguel P. Eckstein, Yani Zhang, Binh Pham, 2004, IEEE Transactions on Medical Imaging.

Mammographic texture synthesis using genetic programming and clustered lumpy background

Miguel P. Eckstein, François Bochud, Francis R. Verdun, 2006, SPIE Medical Imaging.

Classification images for the detection of a simulated mass in mammographic images

Craig K. Abbey, Miguel P. Eckstein, Carey E. Floyd, 2002 .

An ideal observer approach to unifying set size and cueing effects for perceptual and saccadic decisions

Miguel P. Eckstein, Steven S. Shimozaki, Wade Schoonveld, 2010 .

Peripheral Representations Enhance Dense Clutter Metrics in Free Search

Miguel P. Eckstein, Arturo Deza, 2017 .

Limited flexibility in the filter underlying saccadic targeting

Miguel P. Eckstein, Brent R. Beutter, Casimir J. H. Ludwig, 2007, Vision Research.

Human Supervisory Control of Robotic Teams: Integrating Cognitive Modeling with Engineering Design

Miguel P. Eckstein, Francesco Bullo, Amit Surana, 2015, IEEE Control Systems.

The efficiency of perceptual learning in a visual detection task

Craig K. Abbey, Miguel P. Eckstein, S. S. Shimozaki, 2010 .

High human-observer efficiency for forced-localization tasks in correlated noise

Craig K. Abbey, Miguel P. Eckstein, 2010, Medical Imaging.

Model observer based optimization of JPEG image compression

Craig K. Abbey, Miguel P. Eckstein, Jay Bartroff, 2000, Medical Imaging.

Cueing effects for human and ideal searchers during multiple-fixation visual search

Miguel P. Eckstein, Wade Schoonveld, 2010 .

Observer templates in 2D and 3D localization tasks

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2018, Medical Imaging.

Characterizing non-Gaussian properties of breast images with a noisy-Laplacian distribution

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2011, Medical Imaging.

Evaluation of internal noise methods for Hotelling observers

Miguel P. Eckstein, Yani Zhang, Binh Thai Pham, 2005, SPIE Medical Imaging.

Task-relevant remapping of peripheral information at the time of saccades.

Miguel P. Eckstein, Michela Panichi, Stefano Baldassi, 2012 .

Neural correlates of visual search in natural scenes

Miguel P. Eckstein, Fei Guo, Koel Das, 2010 .

Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers

Miguel P. Eckstein, Koel Das, Barry Giesbrecht, 2010, NeuroImage.

Motion and display effects on perception of multiple coronary stents

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2009, Medical Imaging.

Human vs model observers in anatomic backgrounds

Craig K. Abbey, Miguel P. Eckstein, James S. Whiting, 1998, Medical Imaging.

Learning motion: Human vs. optimal Bayesian learner

Miguel P. Eckstein, José F. Barraza, Edgardo J. Trenti, 2010, Vision Research.

A bivariate binormal ROC methodology for comparing new methods to an existing standard for screening applications

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2007, SPIE Medical Imaging.

Object detection through search with a foveated visual system

Miguel P. Eckstein, Emre Akbas, Emre Akbas, 2014, PLoS Comput. Biol..

A foveated object detector that misses giant and misplaced targets in scenes

Miguel P. Eckstein, Arturo Deza, Aditya Jonnalagadda, 2018 .

The efficiency of reading around learned backgrounds

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2006, SPIE Medical Imaging.

Practical issues and methodology in assessment of image quality using model observers

Craig K. Abbey, Miguel P. Eckstein, Harrison H. Barrett, 1997, Medical Imaging.

Foveated Model Observers for Visual Search in 3D Medical Images

Craig K. Abbey, Miguel P. Eckstein, M. A. Lago, 2020, IEEE Transactions on Medical Imaging.

Evolution of decision weights and eye movements through learning in visual search

Miguel P. Eckstein, Ilmari Kurki, 2019 .

Stabilized estimates of Hotelling-observer detection performance in patient-structured noise

Craig K. Abbey, Miguel P. Eckstein, Harrison H. Barrett, 1998, Medical Imaging.

Learning of eye movements for human and optimal models during search in complex statistical environments

Miguel P. Eckstein, Emre Akbas, Kathryn Koehler, 2013 .

Multiframe quantitative coronary arteriography

Miguel P. Eckstein, Craig A. Morioka, James Stuart Whiting, 1996, Medical Imaging.

Estimation of human-observer templates in two-alternative forced-choice experiments

Craig K. Abbey, Miguel P. Eckstein, Francois O. Bochud, 1999, Medical Imaging.

Non-Gaussian statistical properties of virtual breast phantoms

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2014, Medical Imaging.

Parallel extraction of information for foveal analysis and peripheral selection of where to look next

Miguel P. Eckstein, Casimir J. H. Ludwig, Rhys Davies, 2012 .

Predicting visual search accuracy in symbolic displays and medical images

Miguel P. Eckstein, James P. Thomas, J. S. Whiting, 1996 .

Comparing Reweighting Models in Perceptual learning: Optimal vs Proportional Hebbian

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2012 .

Classification Images for Search in Natural Images

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2010 .

Failure to learn unusual optimal points of fixation during face identification

Miguel P. Eckstein, Matthew F. Peterson, 2012 .

Development of an image/threshold database for designing and testing human vision models

Miguel P. Eckstein, Anthony M. Norcia, D. Amnon Silverstein, 1999, Electronic Imaging.

From Where and How to What We See

B. S. Manjunath, Miguel P. Eckstein, S. Karthikeyan, 2013, 2013 IEEE International Conference on Computer Vision.

Analytic Guided-Search Model of Human Performance Accuracy in Target- Localization Search Tasks

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2013 .

Models of eye movement strategies: Optimal searcher vs. optimal saccadic targeting

Miguel P. Eckstein, Wade Schoonveld, 2010 .

73.1: Invited Paper: Modeling the Effect of Image Noise on Perceptual Decisions

Craig K. Abbey, Miguel P. Eckstein, 2008 .

Evaluation of search strategies for microcalcifications and masses in 3D images

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2018, Medical Imaging.

Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments

Craig K. Abbey, Miguel P. Eckstein, 2001, IPMI.

Observer efficiency in free-localization tasks with correlated noise

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2014, Front. Psychol..

Dissociations in ideal and human observer visual search in 3D images

Craig K. Abbey, Miguel P. Eckstein, Miguel Angel Lago Angel, 2018 .

Visually evoked EEG activity differentiates individuals during a perceptual categorization task but preparatory or late activity does not

Sheng Zhang, Miguel P. Eckstein, Koel Das, 2010 .

Learning predictive cues to optimize visual search

Craig K. Abbey, Miguel P. Eckstein, Jason A. Droll, 2010 .

Aggregating multiple judgments in a mixed-strengths signal detection task

Miguel P. Eckstein, Mordechai Z. Juni, M. Eckstein, 2014 .

The Influence of Visual Clutter on Search Guidance with Complex Scenes

Miguel P. Eckstein, Grant Taylor, Arturo Deza, 2016 .

Perceptual assessment of multiple stent deployment

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2008, SPIE Medical Imaging.

Observer performance detecting signals in globally non-stationary oriented noise

Craig K. Abbey, Miguel P. Eckstein, Yani Zhang, 2006, SPIE Medical Imaging.

Eye tracking assisted extraction of attentionally important objects from videos

B. S. Manjunath, Miguel P. Eckstein, S. Karthikeyan, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Attention Allocation Aid for Visual Search

Miguel P. Eckstein, Amit Surana, Arturo Deza, 2017, CHI.

Information distribution for face identificaiton and its relation to human strategies

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2010 .

Model observers for complex discrimination tasks: assessments of multiple coronary stent placements

Sheng Zhang, Craig K. Abbey, Miguel P. Eckstein, 2010, Medical Imaging.

Effect of fMRI study design on the classification accuracy of orientation discrimination

Miguel P. Eckstein, Tim Preston, 2010 .

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms

Craig K. Abbey, Miguel P. Eckstein, Andrew D. A. Maidment, 2020, Medical Imaging.

Scene Inversion Slows the Rejection of False Positives through Saccade Exploration During Search

Miguel P. Eckstein, Kathryn Koehler, M. Eckstein, 2015, CogSci.

Mathematical observers applied to breast tomosynthesis.

Craig K. Abbey, Miguel P. Eckstein, Pontus Timberg, 2009 .

What is degrading human visual detection peformance in natural medical image backgrounds?

Miguel P. Eckstein, Albert J. Ahumada, Andrew B. Watson, 1997, Medical Imaging.

Image compression and feature stabilization of dynamically displayed coronary angiograms

Miguel P. Eckstein, Craig A. Morioka, Jay Bartroff, 1999, Medical Imaging.

Neural representation of object-scene scale consistency

Miguel P. Eckstein, Lauren E. Welbourne, Barry Giesbrecht, 2018, Journal of Vision.

Maximum-likelihood and maximum-a-posteriori estimates of human-observer templates

Craig K. Abbey, Miguel P. Eckstein, M. Eckstein, 2001, SPIE Medical Imaging.

Search in Dynamic Scenes: Cueing by Body Parts Leads to Transient Covert Attention and Microsaccade Bias while Whole Silhouettes to Sustained

Miguel P. Eckstein, Nicole X Han, 2021 .

A Feedforward Convolutional Neural Network with a Few Million Neurons Learns from Images to Covertly Attend to Cues and Context like Humans and an Optimal Bayesian Observer

Miguel P. Eckstein, William Wang, Sudhanshu Srivastava, 2021 .

FoveaTer: Foveated Transformer for Image Classification pdf

Miguel P. Eckstein, William Wang, Aditya Jonnalagadda, 2021, ArXiv.

Medical image quality metrics for foveated model observers

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2021, Journal of medical imaging.

Foveated Model Observers for Visual Search in 3D Medical Images

Craig K. Abbey, Miguel P. Eckstein, Miguel A. Lago, 2020, IEEE Transactions on Medical Imaging.

The perceptual influence of 2D synthesized images on 3D search

Miguel P. Eckstein, Miguel A. Lago, Devi S. Klein, 2021, Medical Imaging.

Language-based Video Editing via Multi-Modal Multi-Level Transformer pdf

Miguel P. Eckstein, Scott T. Grafton, Tsu-Jui Fu, 2021, ALVR.

Eye movement strategies in face ethnicity categorization vs. face identification tasks

Miguel P. Eckstein, Yuliy Tsank, Puneeth N. Chakravarthula, 2021, Vision Research.

Gaze Perception in Humans and CNN-Based Model pdf

Miguel P. Eckstein, William Yang Wang, Nicole X. Han, 2021, ArXiv.

Comparing Visual Reasoning in Humans and AI pdf

Miguel P. Eckstein, Shravan Murlidaran, William Yang Wang, 2021, ArXiv.

Gaze control and memory for objects while walking in a real world environment

Miguel P. Eckstein, Jason A. Droll, M. Eckstein, 2009 .

The decoupling of attention and eye movements during multiple fixation search

Avi Caspi, Miguel P. Eckstein, Brent R. Beutter, 2004 .

The footprints of visual attention during search with 100% valid and 100% invalid cues

Miguel P. Eckstein, Steven S. Shimozaki, M. Eckstein, 2004, Vision Research.

Perception and Eye Movements

Miguel P. Eckstein, Brent R. Beutter, Leland S. Stone, 2009 .

The surprisingly high human efficiency at learning to recognize faces

Craig K. Abbey, Miguel P. Eckstein, Matthew F. Peterson, 2009, Vision Research.

Foveal analysis and peripheral selection during active visual sampling

Miguel P. Eckstein, Casimir J. H. Ludwig, Casimir J H Ludwig, 2014, Proceedings of the National Academy of Sciences.

Optimal and human eye movements to clustered low value cues to increase decision rewards during search

Sheng Zhang, Miguel P. Eckstein, Wade Schoonveld, 2015, Vision Research.

Probabilistic Computations for Attention, Eye Movements, and Search.

Miguel P. Eckstein, M. Eckstein, 2017, Annual review of vision science.

The Perception of Medical Images: 1941-2001

Miguel P. Eckstein, M. Eckstein, 2001 .

An Equivalent Relative Utility Metric for Evaluating Screening Mammography

Craig K. Abbey, John M. Boone, Miguel P. Eckstein, 2010, Medical decision making : an international journal of the Society for Medical Decision Making.