Miguel A. Lago

According to our database, Miguel A. Lago authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Open-Source Pattern Creation Tool for Medical Extended Reality Image Quality Assessment.

Brendan Collins, Ryan Beams, Miguel A. Lago

J. Open Source Softw., February, 2024

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, October, 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

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, M. A. Anastasio, Berkman Sahiner

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions.

Miguel A. Lago, Aldo Badano

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis.

Stephen H. Adamo, Bruno Barufaldi, Miguel A. Lago

Proceedings of the Medical Imaging 2023: Image Perception, 2023

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

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

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

Devi S. Klein, Miguel A. Lago, Miguel P. Eckstein

Proceedings of the Medical Imaging 2021: Image Perception, 2021

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

Proceedings of the Medical Imaging 2020: Image Perception, 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

Proceedings of the Medical Imaging 2020: Image Perception, 2020

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

Proceedings of the Medical Imaging 2019: Image Perception, 2019

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

Proceedings of the Medical Imaging 2018: Image Perception, 2018

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

Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey

Proceedings of the Medical Imaging 2018: Image Perception, 2018

Observer templates in 2D and 3D localization tasks.

Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein

Proceedings of the Medical Imaging 2018: Image Perception, 2018

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

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

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

2015

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

2014

Genetic algorithms for estimating the biomechanical behavior of breast tissues.

Miguel A. Lago, María José Rupérez, Francisco Martínez-Martínez, Carlos Monserrat

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

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

2012

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

Proceedings of the Medicine Meets Virtual Reality 19 - NextMed, 2012

2011

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

Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011