Pneumoperitoneum Technique Simulation in Laparoscopic Surgery on Lamb Liver Samples and 3D Reconstruction. - Francisco Martínez-Martínez; María José Rupérez; Miguel A. Lago; Fernando López-Mir; Carlos Monserrat; Mariano Alcañiz Raya (MMVR, 2011)

A Study About Coefficients to Estimate the Error in Biomechanical Models Used to Virtually Simulate the Organ Behaviors. - Miguel A. Lago; Francisco Martínez-Martínez; María José Rupérez; Carlos Monserrat; Mariano Alcañiz Raya (MMVR, 2012)

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation. - Francisco Martínez-Martínez; María José Rupérez; José David Martín-Guerrero; Carlos Monserrat; Miguel A. Lago; E. Pareja; S. Brugger; R. López-Andújar (Comput. Methods Programs Biomed., 2013)

Genetic algorithms for estimating the biomechanical behavior of breast tissues. - Miguel A. Lago; María José Rupérez; Francisco Martínez-Martínez; Carlos Monserrat (BHI, 2014)

Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. - Miguel A. Lago; María José Rupérez; Francisco Martínez-Martínez; Sandra Martínez-Sanchis; Predrag R. Bakic; Carlos Monserrat (Expert Syst. Appl., 2015)

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. - Delia Lorente; Francisco Martínez-Martínez; María José Rupérez; Miguel A. Lago; Marcelino Martínez-Sober; Pablo Escandell-Montero; José María Martínez-Martínez; Sandra Martínez-Sanchis; Antonio J. Serrano-López; Carlos Monserrat Aranda; José David Martín-Guerrero (Expert Syst. Appl., 2017)

Developing populations of software breast phantoms for virtual clinical trials. - Bruno Barufaldi; Predrag R. Bakic; David D. Pokrajac; Miguel A. Lago; Andrew D. A. Maidment (IWBI, 2018)

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)

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)

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)

Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. - Bruno Barufaldi; Craig K. Abbey; Miguel A. Lago; Trevor Lewis Vent; Raymond Joseph Acciavatti; Predrag R. Bakic; Andrew D. A. Maidment (IEEE Trans. Medical Imaging, 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)

Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis. - Stephen H. Adamo; Bruno Barufaldi; Miguel A. Lago (Image Perception, Observer Performance, and Technology Assessment, 2023)

Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions. - Miguel A. Lago; Aldo Badano (Image Perception, Observer Performance, and Technology Assessment, 2023)

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. - Elena Sizikova; Niloufar Saharkhiz; Diksha Sharma; Miguel A. Lago; Berkman Sahiner; Jana G. Delfino; Aldo Badano (NeurIPS, 2023)

The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. - Aldo Badano; Miguel A. Lago; Elena Sizikova; Jana G. Delfino; S. Guan; Mark A. Anastasio; Berkman Sahiner (CoRR, 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)

Objective Image Quality Optimization in Augmented Reality Using Spatial Frequency Domain Models. - Chumin Zhao; Miguel A. Lago; Ryan Beams; Aldo Badano (IEEE Trans. Medical Imaging, 2023)

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. - Andrea Seung Kim; Niloufar Saharkhiz; Elena Sizikova; Miguel A. Lago; Berkman Sahiner; Jana G. Delfino; Aldo Badano (MICCAI (3), 2024)

Evaluation of Monocular and Binocular Contrast Sensitivity on Virtual Reality Head-Mounted Displays. - Khushi Bhansali; Miguel A. Lago; Ryan Beams; Chumin Zhao (VR Workshops, 2024)

Synthetic Data in Radiological Imaging: Current State and Future Outlook. - Elena Sizikova; Andreu Badal; Jana G. Delfino; Miguel A. Lago; Brandon Nelson; Niloufar Saharkhiz; Berkman Sahiner; Ghada Zamzmi; Aldo Badano (CoRR, 2024)

Open-Source Pattern Creation Tool for Medical Extended Reality Image Quality Assessment. - Brendan Collins; Ryan Beams; Miguel A. Lago (J. Open Source Softw., 2024)

Applying queueing theory to evaluate wait-time-savings of triage algorithms. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Jana G. Delfino; Miguel A. Lago; Qian Cao; Frank W. Samuelson (Queueing Syst. Theory Appl., 2024)

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features. - Miguel A. Lago; Ghada Zamzmi; Brandon Eich; Jana G. Delfino (CoRR, 2025)

T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images. - Christopher Wiedeman; Anastasiia Sarmakeeva; Elena Sizikova; Daniil Filienko; Miguel A. Lago; Jana G. Delfino; Aldo Badano (CoRR, 2025)