Deep learning in macroscopic diffuse optical imaging
Significance: Biomedical optics system design, image formation, and image analysis have
primarily been guided by classical physical modeling and signal processing methodologies …
primarily been guided by classical physical modeling and signal processing methodologies …
Mathematical and numerical challenges in diffuse optical tomography inverse problems
A Aspri, A Benfenati, P Causin… - … Dynamical Systems-S, 2024 - aimsciences.org
Computed Tomography (CT) is an essential imaging tool for medical inspection, diagnosis
and prevention. While X-rays CT is a consolidated technology, there is nowadays a strong …
and prevention. While X-rays CT is a consolidated technology, there is nowadays a strong …
Learn an index operator by CNN for solving diffusive optical tomography: a deep direct sampling method
In this work, we investigate the diffusive optical tomography (DOT) problem in the case that
limited boundary measurements are available. Motivated by the direct sampling method …
limited boundary measurements are available. Motivated by the direct sampling method …
Regression-based neural network for improving image reconstruction in diffuse optical tomography
GM Balasubramaniam, S Arnon - Biomedical Optics Express, 2022 - opg.optica.org
Diffuse optical tomography (DOT) is a non-invasive imaging technique utilizing multi-
scattered light at visible and infrared wavelengths to detect anomalies in tissues. However …
scattered light at visible and infrared wavelengths to detect anomalies in tissues. However …
Unrolled-DOT: an interpretable deep network for diffuse optical tomography
Significance Imaging through scattering media is critical in many biomedical imaging
applications, such as breast tumor detection and functional neuroimaging. Time-of-flight …
applications, such as breast tumor detection and functional neuroimaging. Time-of-flight …
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
A Benfenati, P Causin, M Quinteri - arXiv preprint arXiv:2402.09277, 2024 - arxiv.org
Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current
research tries to integrate established-but ionizing-tomographic techniques with …
research tries to integrate established-but ionizing-tomographic techniques with …
Learn an index operator by CNN for solving diffusive optical tomography: a deep direct sampling method
In this work, we investigate the diffusive optical tomography (DOT) problem in the case that
limited boundary measurements are available. Motivated by the direct sampling method …
limited boundary measurements are available. Motivated by the direct sampling method …
[图书][B] Compressive Hyperspectral Single-Pixel Imaging for Lifetime Imaging and Tomography Applications
MI Ochoa - 2022 - search.proquest.com
The present document summarizes the overall goal, specific objectives, preliminary results,
current conclusions as well as the future aims to be addressed for completion of a PhD …
current conclusions as well as the future aims to be addressed for completion of a PhD …