Multiframe quantitative coronary arteriography. - Craig A. Morioka; James Stuart Whiting; Miguel P. Eckstein; Kokila C. Shah (Image Processing, 1996)

Image discrimination models predict signal detection in natural medical image backgrounds. - Miguel P. Eckstein; Albert J. Ahumada Jr.; Andrew B. Watson (Human Vision and Electronic Imaging, 1997)

Development of an image/threshold database for designing and testing human vision models. - Thom Carney; Stanley A. Klein; Christopher W. Tyler; D. Amnon Silverstein; Brent Beutter; Dennis Levi; Andrew B. Watson; Adam J. Reeves; Anthony M. Norcia; Chien-Chung Chen; Walter Makous; Miguel P. Eckstein (Human Vision and Electronic Imaging, 1999)

Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography. - Craig A. Morioka; François O. Bochud; Craig K. Abbey; Miguel P. Eckstein; James Stuart Whiting (Image Processing, 1999)

Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. - Craig K. Abbey; Miguel P. Eckstein (IPMI, 2001)

Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments. - Craig K. Abbey; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2002)

Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms. - Yani Zhang; Binh Pham 002; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2004)

Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms. - Yani Zhang; Binh Pham 002; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2004)

The effect of nonlinear human visual system components on performance of a channelized Hotelling observer in structured backgrounds. - Yani Zhang; Binh T. Pham; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2006)

Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers. - Koel Das; Barry Giesbrecht; Miguel P. Eckstein (NeuroImage, 2010)

Evolution and Optimality of Similar Neural Mechanisms for Perception and Action during Search. - Sheng Zhang 007; Miguel P. Eckstein (PLoS Comput. Biol., 2010)

Multimodal target detection using single trial evoked EEG responses in single and dual-tasks. - Hubert Cecotti; Ryan W. Kasper; James C. Elliott; Miguel P. Eckstein; Barry Giesbrecht (EMBC, 2011)

Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task. - Hubert Cecotti; Joyce Sato-Reinhold; Jocelyn L. Sy; James C. Elliott; Miguel P. Eckstein; Barry Giesbrecht (EMBC, 2011)

A signal detection analysis of the effects of repeated context on visual search. - Ryan W. Kasper; Miguel P. Eckstein; Barry Giesbrecht (CogSci, 2012)

Effects of performing two visual tasks on single-trial detection of event-related potentials. - Hubert Cecotti; Miguel P. Eckstein; Barry Giesbrecht (EMBC, 2012)

Multiclass classification of single-trial evoked EEG responses. - Hubert Cecotti; Anthony J. Ries; Miguel P. Eckstein; Barry Giesbrecht (EMBC, 2012)

Modeling observer performance for optimizing medical image acquisition and processing. - Craig K. Abbey; Miguel P. Eckstein (Human Vision and Electronic Imaging, 2012)

Neural decoding of collective wisdom with multi-brain computing. - Miguel P. Eckstein; Koel Das; Binh T. Pham; Matthew F. Peterson; Craig K. Abbey; Jocelyn L. Sy; Barry Giesbrecht (NeuroImage, 2012)

From Where and How to What We See. - S. Karthikeyan 001; Vignesh Jagadeesh; Renuka Shenoy; Miguel P. Eckstein; B. S. Manjunath (ICCV, 2013)

Mixed Human-Robot Team Surveillance. - Vaibhav Srivastava; Amit Surana; Miguel P. Eckstein; Francesco Bullo (CoRR, 2013)

A framework for machine vision based on neuro-mimetic front end processing and clustering. - Emre Akbas; Aseem Wadhwa; Miguel P. Eckstein; Upamanyu Madhow (Allerton, 2014)

Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition. - Hubert Cecotti; Miguel P. Eckstein; Barry Giesbrecht (EMBC, 2014)

Object Detection Through Exploration With A Foveated Visual Field. - Emre Akbas; Miguel P. Eckstein (CoRR, 2014)

Isolating the Neural Mechanisms of Interference during Continuous Multisensory Dual-task Performance. - Ryan W. Kasper; Hubert Cecotti; Jon Touryan; Miguel P. Eckstein; Barry Giesbrecht (J. Cogn. Neurosci., 2014)

Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering. - Hubert Cecotti; Miguel P. Eckstein; Barry Giesbrecht (IEEE Trans. Neural Networks Learn. Syst., 2014)

Scene Inversion Slows the Rejection of False Positives through Saccade Exploration During Search. - Kathryn Koehler; Miguel P. Eckstein (CogSci, 2015)

Eye tracking assisted extraction of attentionally important objects from videos. - S. Karthikeyan 001; Thuyen Ngo; Miguel P. Eckstein; B. S. Manjunath (CVPR, 2015)

Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. - Iván Díaz; Craig K. Abbey; Pontus A. S. Timberg; Miguel P. Eckstein; Francis R. Verdun; Cyril Castella; François O. Bochud (IEEE Trans. Medical Imaging, 2015)

Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? - Arturo Deza; Miguel P. Eckstein (NIPS, 2016)

Attention Allocation Aid for Visual Search. - Arturo Deza; Jeffrey R. Peters; Grant S. Taylor; Amit Surana; Miguel P. Eckstein (CHI, 2017)

Object detection through search with a foveated visual system. - Emre Akbas; Miguel P. Eckstein (PLoS Comput. Biol., 2017)

Observer templates in 2D and 3D localization tasks. - Craig K. Abbey; Miguel A. Lago; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2018)

Evaluation of search strategies for microcalcifications and masses in 3D images. - Miguel P. Eckstein; Miguel A. Lago; Craig K. Abbey (Image Perception, Observer Performance, and Technology Assessment, 2018)

Interactions of lesion detectability and size across single-slice DBT and 3D DBT. - Miguel A. Lago; Craig K. Abbey; Bruno Barufaldi; Predrag R. Bakic; Susan P. Weinstein; Andrew D. A. Maidment; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2018)

Assessment of Faster R-CNN in Man-Machine Collaborative Search. - Arturo Deza; Amit Surana; Miguel P. Eckstein (CVPR, 2019)

Towards Metamerism via Foveated Style Transfer. - Arturo Deza; Aditya Jonnalagadda; Miguel P. Eckstein (ICLR (Poster), 2019)

Template models for forced-localization tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2019)

A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. - Miguel A. Lago; Craig K. Abbey; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2019)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. - Tsu-Jui Fu; Xin Wang 061; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2019)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. - Tsu-Jui Fu; Xin Eric Wang; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (ECCV (6), 2020)

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. - Tsu-Jui Fu; Xin Wang 061; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (EMNLP (1), 2020)

Human observer templates for lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2020)

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. - Aditya Jonnalagadda; Miguel A. Lago; Bruno Barufaldi; Predrag R. Bakic; Craig K. Abbey; Andrew D. A. Maidment; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2020)

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. - Miguel A. Lago; Bruno Barufaldi; Predrag R. Bakic; Craig K. Abbey; Andrew D. A. Maidment; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2020)

The perceptual influence of 2D synthesized images on 3D search. - Devi S. Klein; Miguel A. Lago; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2021)

Language-based Video Editing via Multi-Modal Multi-Level Transformer. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2021)

Gaze Perception in Humans and CNN-Based Model. - Nicole X. Han; William Yang Wang; Miguel P. Eckstein (CoRR, 2021)

Comparing Visual Reasoning in Humans and AI. - Shravan Murlidaran; William Yang Wang; Miguel P. Eckstein (CoRR, 2021)

FoveaTer: Foveated Transformer for Image Classification. - Aditya Jonnalagadda; William Wang 001; Miguel P. Eckstein (CoRR, 2021)

Foveated Model Observers for Visual Search in 3D Medical Images. - Miguel A. Lago; Craig K. Abbey; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2021)

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CVPR, 2022)

Analyzing neural networks applied to an anatomical simulation of the breast. - Craig K. Abbey; Sourya Sengupta; Weimin Zhou; Andreu Badal; Rongping Zeng; Frank W. Samuelson; Miguel P. Eckstein; Kyle J. Myers; Mark A. Anastasio; Jovan G. Brankov (Image Perception, Observer Performance, and Technology Assessment, 2022)

A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. - Weimin Zhou; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2022)

Imagination-Augmented Natural Language Understanding. - Yujie Lu; Wanrong Zhu; Xin Wang 061; Miguel P. Eckstein; William Yang Wang (NAACL-HLT, 2022)

Diagnosing Vision-and-Language Navigation: What Really Matters. - Wanrong Zhu; Yuankai Qi; Pradyumna Narayana; Kazoo Sone; Sugato Basu; Xin Wang 061; Qi Wu 001; Miguel P. Eckstein; William Yang Wang (NAACL-HLT, 2022)

Neuro-Symbolic Causal Language Planning with Commonsense Prompting. - Yujie Lu; Weixi Feng; Wanrong Zhu; Wenda Xu; Xin Eric Wang; Miguel P. Eckstein; William Yang Wang (CoRR, 2022)

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. - Wanrong Zhu; Xin Wang 061; An Yan 003; Miguel P. Eckstein; William Yang Wang (EACL (Findings), 2023)

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. - Wanrong Zhu; An Yan 003; Yujie Lu; Wenda Xu; Xin Wang 061; Miguel P. Eckstein; William Yang Wang (EACL (Findings), 2023)

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. - Wanrong Zhu; Xinyi Wang 003; Yujie Lu; Tsu-Jui Fu; Xin Wang 061; Miguel P. Eckstein; William Wang 001 (EMNLP, 2023)

Neuro-Symbolic Procedural Planning with Commonsense Prompting. - Yujie Lu; Weixi Feng; Wanrong Zhu; Wenda Xu; Xin Eric Wang; Miguel P. Eckstein; William Yang Wang (ICLR, 2023)

Predictive accuracy of model observers in lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2023)

Optimal visual search strategy with inter-saccade response correlations. - Weimin Zhou; Miguel P. Eckstein (Image Perception, Observer Performance, and Technology Assessment, 2023)

A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. - Devi S. Klein; Miguel A. Lago; Craig K. Abbey; Miguel P. Eckstein (IEEE Trans. Medical Imaging, 2023)

Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests. - Evan Layher; Tyler Santander; Puneeth N. Chakravarthula; Nicole Marinsek; Benjamin O. Turner; Miguel P. Eckstein; Michael B. Miller (NeuroImage, 2023)

Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. - Devi Klein; Srijita Karmakar; Aditya Jonnalagadda; Craig K. Abbey; Miguel P. Eckstein (CoRR, 2024)

From Text to Pixel: Advancing Long-Context Understanding in MLLMs. - Yujie Lu; Xiujun Li; Tsu-Jui Fu; Miguel P. Eckstein; William Yang Wang (CoRR, 2024)

Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. - Aditya Jonnalagadda; Bruno Barufaldi; Andrew D. A. Maidment; Susan P. Weinstein; Craig K. Abbey; Miguel P. Eckstein (CoRR, 2024)

Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps. - Ziqi Wen; Jonathan Skaza; Shravan Murlidaran; William Y. Wang; Miguel P. Eckstein (CoRR, 2025)