3-D Bayesian variational full waveform inversion
Seismic full-waveform inversion (FWI) provides high resolution images of the subsurface by
exploiting information in the recorded seismic waveforms. This is achieved by solving a …
exploiting information in the recorded seismic waveforms. This is achieved by solving a …
Unveiling the potential of ultrasound in brain imaging: Innovations, challenges, and prospects
J Ren, J Li, S Chen, Y Liu, D Ta - Ultrasonics, 2024 - Elsevier
Within medical imaging, ultrasound serves as a crucial tool, particularly in the realms of
brain imaging and disease diagnosis. It offers superior safety, speed, and wider applicability …
brain imaging and disease diagnosis. It offers superior safety, speed, and wider applicability …
Amortized normalizing flows for transcranial ultrasound with uncertainty quantification
We present a novel approach to transcranial ultrasound computed tomography that utilizes
normalizing flows to improve the speed of imaging and provide Bayesian uncertainty …
normalizing flows to improve the speed of imaging and provide Bayesian uncertainty …
Physically structured variational inference for Bayesian full waveform inversion
Full waveform inversion (FWI) creates high resolution models of the Earth's subsurface
structures from seismic waveform data. Due to the non‐linearity and non‐uniqueness of FWI …
structures from seismic waveform data. Due to the non‐linearity and non‐uniqueness of FWI …
Brain tumour genetic network signatures of survival
Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success
across neuro-oncology. Gliomas are characterized by distinct combinations of genetic and …
across neuro-oncology. Gliomas are characterized by distinct combinations of genetic and …
Variational prior replacement in Bayesian inference and inversion
Many scientific investigations require that the values of a set of model parameters are
estimated using recorded data. In Bayesian inference, information from both observed data …
estimated using recorded data. In Bayesian inference, information from both observed data …
A forward model incorporating elevation-focused transducer properties for 3D full-waveform inversion in ultrasound computed tomography
Ultrasound computed tomography (USCT) is an emerging medical imaging modality that
holds great promise for improving human health. Full-waveform inversion (FWI)-based …
holds great promise for improving human health. Full-waveform inversion (FWI)-based …
Transcranial ultrasound imaging with decomposition descent learning-based full waveform inversion
J Tong, X Wang, J Ren, M Lin, J Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Noninvasive brain diagnosis is extremely important because of its efficiency, low cost, and
painless nature in the prediction of stroke, cerebral hemorrhage, and other brain research …
painless nature in the prediction of stroke, cerebral hemorrhage, and other brain research …
Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran
Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical
modeling with significant implications for reservoir performance and rock behavior …
modeling with significant implications for reservoir performance and rock behavior …
Refining amortized posterior approximations using gradient-based summary statistics
We present an iterative framework to improve the amortized approximations of posterior
distributions in the context of Bayesian inverse problems, which is inspired by loop-unrolled …
distributions in the context of Bayesian inverse problems, which is inspired by loop-unrolled …