| 3-D stochastic numerical breast phantoms for enabling virtual imaging trials of ultrasound computed tomography F Li, U Villa, S Park, MA Anastasio IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2021 | 45* | 2021 |
| A Forward Model Incorporating Elevation-Focused Transducer Properties for 3-D Full-Waveform Inversion in Ultrasound Computed Tomography F Li, U Villa, N Duric, MA Anastasio IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2023 | 11 | 2023 |
| 3D full-waveform inversion in ultrasound computed tomography employing a ring-array F Li, U Villa, N Duric, MA Anastasio Medical Imaging 2023: Ultrasonic Imaging and Tomography 12470, 99-104, 2023 | 8 | 2023 |
| Investigation of an elevation-focused transducer model for three-dimensional full-waveform inversion in ultrasound computed tomography F Li, U Villa, N Duric, MA Anastasio Medical Imaging 2022: Ultrasonic Imaging and Tomography 12038, 206-214, 2022 | 8 | 2022 |
| 2D acoustic numerical breast phantoms and USCT measurement data F Li, U Villa, S Park, M Anastasio https://doi.org/10.7910/DVN/CUFVKE, 2021 | 8 | 2021 |
| Learned full waveform inversion incorporating task information for ultrasound computed tomography L Lozenski, H Wang, F Li, M Anastasio, B Wohlberg, Y Lin, U Villa IEEE Transactions on Computational Imaging, 2024 | 7 | 2024 |
| Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer S Park, U Villa, F Li, RM Cam, AA Oraevsky, MA Anastasio Journal of biomedical optics 28 (6), 066002-066002, 2023 | 6 | 2023 |
| Three-dimensional time-domain full-waveform inversion for ring-array-based ultrasound computed tomography F Li, U Villa, N Duric, M Anastasio The Journal of the Acoustical Society of America 153 (3_supplement), A353-A353, 2023 | 3 | 2023 |
| Learned Hotelling observers for use with multi-modal data JL Granstedt, F Li, U Villa, MA Anastasio Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022 | 3 | 2022 |
| A deep-learning-based image reconstruction method for USCT that employs multimodality inputs G Jeong, F Li, U Villa, MA Anastasio Medical Imaging 2023: Ultrasonic Imaging and Tomography 12470, 105-110, 2023 | 2 | 2023 |
| Investigating the use of traveltime and reflection tomography for deep learning-based sound-speed estimation in ultrasound computed tomography G Jeong, F Li, U Villa, MA Anastasio arXiv preprint arXiv:2311.10193, 2023 | 1 | 2023 |
| A framework for ultrasound computed tomography virtual imaging trials that employs anatomically realistic numerical breast phantoms F Li, U Villa, S Park, S He, MA Anastasio Medical Imaging 2021: Ultrasonic Imaging and Tomography 11602, 116020V, 2021 | 1 | 2021 |
| A learning-based method for compensating 3D-2D model mismatch in ring-array ultrasound computed tomography F Li, U Villa, MA Anastasio Medical Imaging 2024: Ultrasonic Imaging and Tomography 12932, 328-334, 2024 | | 2024 |
| Computationally efficient deep learning-based image reconstruction for sound speed estimation in ultrasound computed tomography G Jeong, F Li, U Villa, M Anastasio The Journal of the Acoustical Society of America 153 (3_supplement), A243-A243, 2023 | | 2023 |
| 3D acoustic numerical breast phantoms F Li, U Villa, S Park, MA Anastasio https://doi.org/10.7910/DVN/KBYQQ7, 2021 | | 2021 |
Mark A. AnastasioUniversity of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
