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20142024
most citedImpact of non-stationary optical illumination on image reconstruction in optoacoustic tomography

12 citations · 16 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.IV20241 cited

Technical Note: An Efficient Implementation of the Spherical Radon Transform with Cylindrical Apertures

Luke Lozenski, Refik Mert Cam, Mark A. Anastasio +1

The spherical Radon transform (SRT) is an integral transform that maps a function to its integrals over concentric spherical shells centered at specified sensor locations. It has s…

eess.IV2024

Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data

Xiaohui Zhang, Eric C. Landsness, Hanyang Miao +6

Background: Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for spatiotemporal recordings of neuronal activity in mice. When applied to the stu…

eess.IV2023

Deep learning-based image super-resolution of a novel end-expandable optical fiber probe for application in esophageal cancer diagnostics

Xiaohui Zhang, Mimi Tan, Mansour Nabil +5

Significance: Endoscopic screening for esophageal cancer may enable early cancer diagnosis and treatment. While optical microendoscopic technology has shown promise in improving sp…

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…

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.IV20232 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…