Miguel A. Lago

32 papers A* 1Journal 16Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features. CoRR Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino
2025	J	`jnl`	Knowledge-based anomaly detection for identifying network-induced shape artifacts. CoRR Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki
2025	J	`jnl`	T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images. CoRR Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel A. Lago, Jana G. Delfino, Aldo Badano
2024	J	`jnl`	Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Jana G. Delfino, Miguel A. Lago, Qian Cao, Frank W. Samuelson
2024	—	`conf`	Evaluation of Monocular and Binocular Contrast Sensitivity on Virtual Reality Head-Mounted Displays. VR Workshops Khushi Bhansali, Miguel A. Lago, Ryan Beams, Chumin Zhao
2024	J	`jnl`	Open-Source Pattern Creation Tool for Medical Extended Reality Image Quality Assessment. J. Open Source Softw. Brendan Collins, Ryan Beams, Miguel A. Lago
2024	—	`conf`	S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. MICCAI (3) Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2024	J	`jnl`	S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. CoRR Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2024	J	`jnl`	Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano
2023	J	`jnl`	A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. IEEE Trans. Medical Imaging Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2023	—	`conf`	Adaptive Laguerre-Gauss channels for detection and search of irregularly shaped lesions. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Aldo Badano
2023	—	`conf`	Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis. Image Perception, Observer Performance, and Technology Assessment Stephen H. Adamo, Bruno Barufaldi, Miguel A. Lago
2023	A*	`conf`	Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. NeurIPS Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2023	J	`jnl`	Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. CoRR Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2023	J	`jnl`	Objective Image Quality Optimization in Augmented Reality Using Spatial Frequency Domain Models. IEEE Trans. Medical Imaging Chumin Zhao, Miguel A. Lago, Ryan Beams, Aldo Badano
2023	J	`jnl`	The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner
2021	J	`jnl`	Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. IEEE Trans. Medical Imaging Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment
2021	J	`jnl`	Foveated Model Observers for Visual Search in 3D Medical Images. IEEE Trans. Medical Imaging Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2021	—	`conf`	The perceptual influence of 2D synthesized images on 3D search. Image Perception, Observer Performance, and Technology Assessment Devi S. Klein, Miguel A. Lago, Miguel P. Eckstein
2020	—	`conf`	Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2020	—	`conf`	Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2019	—	`conf`	A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2018	—	`conf`	Developing populations of software breast phantoms for virtual clinical trials. IWBI Bruno Barufaldi, Predrag R. Bakic, David D. Pokrajac, Miguel A. Lago, Andrew D. A. Maidment
2018	—	`conf`	Evaluation of search strategies for microcalcifications and masses in 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey
2018	—	`conf`	Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein
2018	—	`conf`	Observer templates in 2D and 3D localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein
2017	J	`jnl`	A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. Expert Syst. Appl. 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
2015	J	`jnl`	Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. Expert Syst. Appl. Miguel A. Lago, María José Rupérez, Francisco Martínez-Martínez, Sandra Martínez-Sanchis, Predrag R. Bakic, Carlos Monserrat
2014	—	`conf`	Genetic algorithms for estimating the biomechanical behavior of breast tissues. BHI Miguel A. Lago, María José Rupérez, Francisco Martínez-Martínez, Carlos Monserrat
2013	J	`jnl`	Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation. Comput. Methods Programs Biomed. Francisco Martínez-Martínez, María José Rupérez, José David Martín-Guerrero, Carlos Monserrat, Miguel A. Lago, E. Pareja, S. Brugger, R. López-Andújar
2012	—	`conf`	A Study About Coefficients to Estimate the Error in Biomechanical Models Used to Virtually Simulate the Organ Behaviors. MMVR Miguel A. Lago, Francisco Martínez-Martínez, María José Rupérez, Carlos Monserrat, Mariano Alcañiz Raya
2011	—	`conf`	Pneumoperitoneum Technique Simulation in Laparoscopic Surgery on Lamb Liver Samples and 3D Reconstruction. MMVR Francisco Martínez-Martínez, María José Rupérez, Miguel A. Lago, Fernando López-Mir, Carlos Monserrat, Mariano Alcañiz Raya