ReviewJournal of biomedical optics2022
Deep learning in macroscopic diffuse optical imaging.
Review in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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Who cites it
22 citing papers in PubMed, 39 citations in OpenAlex.
- Neural Network-Based Depth Retrieval of Fluorescent Targets From Wide-Field Fluorescence Intensity Images in Scattering Tissues.Journal of biophotonics · 2026Article
- Whole-body tomographic fluorescence lifetime imaging of PD-L1 expression.Research square · 2026Article
- Latent diffusion-based image reconstruction for near-infrared spectral tomography.Biomedical optics express · 2026Article
- Advancing Bladder Health Diagnostics: The Potential of Optical Techniques for Noninvasive Assessment of Lower Urinary Tract Disorders.International neurourology journal · 2025Article
- Deep-learning-enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology.Journal of biomedical optics · 2025Article
- Advancing Near-Infrared Probes for Enhanced Breast Cancer Assessment.Sensors (Basel, Switzerland) · 2025Article
- Fluorescence Lifetime Imaging Enables In Vivo Quantification of PD-L1 Expression and Intertumoral Heterogeneity.Cancer research · 2025Article
- Deep learning-enabled fluorescence imaging for surgical guidance:Journal of biomedical optics · 2025Article
- Review of cocaine-induced brain vascular and cellular function changes measuredNeurophotonics · 2025Review
- Self-supervised hybrid neural network to achieve quantitative bioluminescence tomography for cancer research.Biomedical optics express · 2024Article
- Fluorescence diffuse optical monitoring of bioreactors: a hybrid deep learning and model-based approach for tomography.Biomedical optics express · 2024Article
- Subsurface fluorescence time-of-flight imaging using a large-format single-photon avalanche diode sensor for tumor depth assessment.Journal of biomedical optics · 2024Article
- Roadmap on computational methods in optical imaging and holography [invited].Applied physics. B, Lasers and optics · 2024Review
- Article
- Fusion deep learning approach combining diffuse optical tomography and ultrasound for improving breast cancer classification.Biomedical optics express · 2023Article
- Unrolled-DOT: an interpretable deep network for diffuse optical tomography.Journal of biomedical optics · 2023Article
- Periodic-net: an end-to-end data driven framework for diffuse optical imaging of breast cancer from noisy boundary data.Journal of biomedical optics · 2023Article
- Deep learning in fNIRS: a review.Neurophotonics · 2022Review
- Design and characterization of a time-domain optical tomography platform for mesoscopic lifetime imaging.Biomedical optics express · 2022Article
- Optical imaging and spectroscopy for the study of the human brain: status report.Neurophotonics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
significanceBiomedical optics system design, image formation, and image analysis have primarily been guided by classical physical modeling and signal processing methodologies. Recently, however, deep learning (DL) has become a major paradigm in computational modeling and has demonstrated utility in numerous scientific domains and various forms of data analysis.
aimWe aim to comprehensively review the use of DL applied to macroscopic diffuse optical imaging (DOI). APPROACH: First, we provide a layman introduction to DL. Then, the review summarizes current DL work in some of the most active areas of this field, including optical properties retrieval, fluorescence lifetime imaging, and diffuse optical tomography.
resultsThe advantages of using DL for DOI versus conventional inverse solvers cited in the literature reviewed herein are numerous. These include, among others, a decrease in analysis time (often by many orders of magnitude), increased quantitative reconstruction quality, robustness to noise, and the unique capability to learn complex end-to-end relationships.
conclusionsThe heavily validated capability of DL's use across a wide range of complex inverse solving methodologies has enormous potential to bring novel DOI modalities, otherwise deemed impractical for clinical translation, to the patient's bedside.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.