activity
20122024
most citedInvestigation of iterative image reconstruction in three-dimensional optoacoustic tomography

194 citations · 1k across the 61 of their papers we have counts for

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Showing 2023Show all

11 papers · 1 filter

eess.IV2023★ 10 cited

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography

Gangwon Jeong, Fu Li, Trevor M. Mitcham +3

Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accu…

eess.SP2023

Spatiotemporal Image Reconstruction to Enable High-Frame Rate Dynamic Photoacoustic Tomography with Rotating-Gantry Volumetric Imagers

Refik M. Cam, Chao Wang, Weylan Thompson +3

Significance: Dynamic photoacoustic computed tomography (PACT) is a valuable technique for monitoring physiological processes. However, current dynamic PACT techniques are often li…

eess.IV2023

Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context

Rucha Deshpande, Muzaffer Özbey, Hua Li +2

Diffusion models have emerged as a popular family of deep generative models (DGMs). In the literature, it has been claimed that one class of diffusion models -- denoising diffusion…

cs.LG2023

AmbientFlow: Invertible generative models from incomplete, noisy measurements

Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee +1

Generative models have gained popularity for their potential applications in imaging science, such as image reconstruction, posterior sampling and data sharing. Flow-based generati…

eess.IV2023

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography

Luke Lozenski, Hanchen Wang, Fu Li +4

Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods…

eess.IV2023★ 2 cited

Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning

Zhuchen Shao, Sourya Sengupta, Hua Li +1

Automated semantic segmentation of cell nuclei in microscopic images is crucial for disease diagnosis and tissue microenvironment analysis. Nonetheless, this task presents challeng…