Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Umberto Villa

Showing results (1-10 of 34) with videos related to

Pageof 4
Sort By:
IEEE Open Journal of Signal Processing|September 25, 2025
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem SolversEvan Scope Crafts, Umberto Villa
IEEE Transactions on Medical Imaging|August 14, 2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial NetworksWeimin Zhou, Umberto Villa, Mark A Anastasio
IEEE Transactions on Computational Imaging|March 9, 2026
A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven DenoisersTao Hong, Umberto Villa, Jeffrey A Fessler
Photoacoustics|June 2, 2025
Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraintsGangwon Jeong, Umberto Villa, Mark A Anastasio
Inverse Problems|June 27, 2024
Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transformRefik Mert Cam, Umberto Villa, Mark A Anastasio
Inverse Problems|November 22, 2024
Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approachEvan Scope Crafts, Mark A Anastasio, Umberto Villa
Journal of Medical Imaging (Bellingham, Wash.)|June 15, 2026
Application of learned ideal observers for estimating task-based performance bounds for computed imaging systemsKaiyan Li, Umberto Villa, Hua Li, et al.
Arxiv|November 19, 2025
A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast PhantomsSeonyeong Park, Gangwon Jeong, Umberto Villa, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 14, 2021
3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed TomographyFu Li, Umberto Villa, Seonyeong Park, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 17, 2022
Computing a projection operator onto the null space of a linear imaging operator: tutorialJoseph Kuo, Jason Granstedt, Umberto Villa, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
IEEE Open Journal of Signal Processing|September 25, 2025
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem SolversEvan Scope Crafts, Umberto Villa
IEEE Transactions on Medical Imaging|August 14, 2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial NetworksWeimin Zhou, Umberto Villa, Mark A Anastasio
IEEE Transactions on Computational Imaging|March 9, 2026
A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven DenoisersTao Hong, Umberto Villa, Jeffrey A Fessler
Photoacoustics|June 2, 2025
Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraintsGangwon Jeong, Umberto Villa, Mark A Anastasio
Inverse Problems|June 27, 2024
Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transformRefik Mert Cam, Umberto Villa, Mark A Anastasio
Inverse Problems|November 22, 2024
Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approachEvan Scope Crafts, Mark A Anastasio, Umberto Villa
Journal of Medical Imaging (Bellingham, Wash.)|June 15, 2026
Application of learned ideal observers for estimating task-based performance bounds for computed imaging systemsKaiyan Li, Umberto Villa, Hua Li, et al.
Arxiv|November 19, 2025
A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast PhantomsSeonyeong Park, Gangwon Jeong, Umberto Villa, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 14, 2021
3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed TomographyFu Li, Umberto Villa, Seonyeong Park, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 17, 2022
Computing a projection operator onto the null space of a linear imaging operator: tutorialJoseph Kuo, Jason Granstedt, Umberto Villa, et al.
Pageof 4