Faculty

Institution

Unit

Venue

Miguel Eckstein

Distinguished Professor

University of California, Santa Barbara

Affiliations

College of Engineering

Computer Science

College of Letters & Science

Psychological & Brain Sciences

Miguel Eckstein is currently serving as a College Of Engineering Distinguished Professor at University of California, Santa Barbara.

Honors

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Experiences

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Education

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Miguel Eckstein

University of California, Santa Barbara

Distinguished Professor

You can click a keyword to filter the displayed items

computer vision cognitive science neuroscience vision research machine learning visual perception cognitive neuroscience optical engineering medical imaging pattern recognition computer science photonics visual search visual science machine vision biomedical imaging radiology image analysis image classification classification images breast imaging visual processing medical image analysis eye movements signal detection image compression computational imaging medical image computing model observers perceptual learning cancer imaging optical metrology spatial cognition visual attention eeg signal processing computed tomography scene analysis 3d imaging object detection human-observer templates psychological science respiratory medicine human-computer interaction neural science visual signal detection mass detection perceptual performance applied cognitive psychology mathematical optimization cognitive psychology brain science psychophysics state estimation neuroinformatics cancer screening two-alternative forced-choice experiments x-ray coronary angiograms visual detection model observer performance encoder options correlated noise computational optimization engineering optimization localization radiographic imaging decision analysis medical electronics guidance system experimental analysis experiment design medical decision analysis medical decision making clinical decision-making optical image recognition applied psychology scientific computing attention brain modeling eye tracking developmental cognitive neuroscience decision making cognition

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bivariate Binormal Model for Modelling Double Reading of Screening Mammograms. (2024)

Craig K. AbbeyJessie J. J. GommersMiguel P. EcksteinMireille J. M. BroedersIoannis Sechopoulos

public healthmedical image analysisbiomedical modelingradiologybivariate binormal modeldeep learningmedical imagingbreast cancercancer screeningbreast imaginghealth sciencesdouble reading

Anticipatory Orienting of Covert Attention With Dynamic Gaze Cueing. Journal of Vision (2024)

Srijita KarmakarMiguel P. Eckstein

covert attentionvisual perceptionvision researchattentionanticipatory orientingpsychologyvisual processingcognitive sciencedynamic gaze

Comparing Convolutional Neural Networks to Traditional Models of Covert Attention During Visual Search. Journal of Vision (2024)

Ansh K. SoniSudhanshu SrivastavaMiguel P. Eckstein

covert attentiontraditional modelsvision researchconvolutional neural networksvisual searchpsychologyvisual perception

Convolutional Neural Network Model Observers Discount Signal-Like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. arXiv (Cornell University) (2024)

Jonnalagadda, AdityaBarufaldi, Bruno B.Maidment, Andrew D. A.Weinstein, Susan P.Abbey, Craig K.Eckstein, Miguel P.

biophysicsconvolutional neural networkssignal-like anatomical structurescomputer visioncomputational anatomydeep learningmedical imagingmedical image computingmachine visionimage analysisbreast imagingmachine learningneuroscience

Emergent Human-Like Covert Attention in Feedforward Convolutional Neural Networks. Current Biology (2024)

Sudhanshu SrivastavaWilliam Yang WangMiguel P. Eckstein

machine intelligenceconvolutional neural networksattentioncomputer visiondeep learningmachine learningneuroscience

Eye Movements During Free Viewing Maximize Scene Understanding. (2024)

Shravan MurlidaranMiguel P Eckstein

cognitive sciencecomputer visionscene understandingeye movements

Eye Movements During Free Viewing to Maximize Scene Understanding. Journal of Vision (2024)

Shravan MurlidaranMiguel P Eckstein

visual sciencevisual perceptionvision researcheye movementsvisual processingscene understandingcognitive science

From Text to Pixel: Advancing Long-Context Understanding in Mllms. arXiv (Cornell University) (2024)

Lu, YujieLi, XiujunFu, Tsu-JuiEckstein, MiguelWang, William Yang

long-context understandingmachine learningcomputer visiondeep learningnatural language processingmachine visioncomputer sciencelarge language models

Greater Benefits of Deep Learning-Based Computer-Aided Detection Systems for Finding Small Signals in 3D Volumetric Medical Images. Journal of Medical Imaging (2024)

Devi S. KleinSrijita KarmakarAditya JonnalagaddaCraig K. AbbeyMiguel P. Eckstein

medicine3d imagingcomputer visionmedical imagingdeep learningimage analysissmall signalsmedical image analysis

Limited Scene Understanding and Altered Eye Movements With Simulated Central and Peripheral Vision Loss. Journal of Vision (2024)

Byron A. JohnsonShravan MurlidaranAnsh SoniMichael BeyelerMiguel P. Eckstein

visual perceptionvision researchperipheral vision losslimited scene understandingeye movementsscene understandingcognitive science

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Miguel Eckstein

Distinguished Professor

University of California, Santa Barbara

Affiliations

College of Engineering

Computer Science

College of Letters & Science

Psychological & Brain Sciences

Miguel Eckstein is currently serving as a College Of Engineering Distinguished Professor at University of California, Santa Barbara.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Miguel Eckstein

University of California, Santa Barbara

Distinguished Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bivariate Binormal Model for Modelling Double Reading of Screening Mammograms. (2024)

Craig K. AbbeyJessie J. J. GommersMiguel P. EcksteinMireille J. M. BroedersIoannis Sechopoulos

public healthmedical image analysisbiomedical modelingradiologybivariate binormal modeldeep learningmedical imagingbreast cancercancer screeningbreast imaginghealth sciencesdouble reading

Anticipatory Orienting of Covert Attention With Dynamic Gaze Cueing. Journal of Vision (2024)

Srijita KarmakarMiguel P. Eckstein

covert attentionvisual perceptionvision researchattentionanticipatory orientingpsychologyvisual processingcognitive sciencedynamic gaze

Comparing Convolutional Neural Networks to Traditional Models of Covert Attention During Visual Search. Journal of Vision (2024)

Ansh K. SoniSudhanshu SrivastavaMiguel P. Eckstein

covert attentiontraditional modelsvision researchconvolutional neural networksvisual searchpsychologyvisual perception

Convolutional Neural Network Model Observers Discount Signal-Like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. arXiv (Cornell University) (2024)

Jonnalagadda, AdityaBarufaldi, Bruno B.Maidment, Andrew D. A.Weinstein, Susan P.Abbey, Craig K.Eckstein, Miguel P.

Emergent Human-Like Covert Attention in Feedforward Convolutional Neural Networks. Current Biology (2024)

Sudhanshu SrivastavaWilliam Yang WangMiguel P. Eckstein

machine intelligenceconvolutional neural networksattentioncomputer visiondeep learningmachine learningneuroscience

Eye Movements During Free Viewing Maximize Scene Understanding. (2024)

Shravan MurlidaranMiguel P Eckstein

cognitive sciencecomputer visionscene understandingeye movements

Eye Movements During Free Viewing to Maximize Scene Understanding. Journal of Vision (2024)

Shravan MurlidaranMiguel P Eckstein

visual sciencevisual perceptionvision researcheye movementsvisual processingscene understandingcognitive science

From Text to Pixel: Advancing Long-Context Understanding in Mllms. arXiv (Cornell University) (2024)

Lu, YujieLi, XiujunFu, Tsu-JuiEckstein, MiguelWang, William Yang

long-context understandingmachine learningcomputer visiondeep learningnatural language processingmachine visioncomputer sciencelarge language models

Greater Benefits of Deep Learning-Based Computer-Aided Detection Systems for Finding Small Signals in 3D Volumetric Medical Images. Journal of Medical Imaging (2024)

Devi S. KleinSrijita KarmakarAditya JonnalagaddaCraig K. AbbeyMiguel P. Eckstein

medicine3d imagingcomputer visionmedical imagingdeep learningimage analysissmall signalsmedical image analysis

Limited Scene Understanding and Altered Eye Movements With Simulated Central and Peripheral Vision Loss. Journal of Vision (2024)

Byron A. JohnsonShravan MurlidaranAnsh SoniMichael BeyelerMiguel P. Eckstein

visual perceptionvision researchperipheral vision losslimited scene understandingeye movementsscene understandingcognitive science

1
2
3
4
5
36
10 / page

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psychology

developmental cognitive neuroscience

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Institution

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ai healthcare

biometrics

Peter Bex

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