Review of deep learning for photoacoustic imaging

Feature article: A generative adversarial network for artifact removal in photoacoustic computed tomography with a linear-array transducer

(2020) Tri Vu et al.   EXPERIMENTAL BIOLOGY AND MEDICINE

Deep learning improves contrast in low-fluence photoacoustic imaging

(2020) Ali Hariri et al.   Biomedical Optics Express

Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning

(2020) Steven Guan et al.   Scientific Reports

Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data

(2020) Tong Tong et al.   Photoacoustics

Computer aided detection of prostate cancer using multiwavelength photoacoustic data with convolutional neural network

(2020) Nikhil Dhengre et al.   Biomedical Signal Processing and Control

Deep Learning Protocol for Improved Photoacoustic Brain Imaging

(2020) Rayyan Manwar et al.   Journal of Biophotonics

A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography

(2020) Huijuan Zhang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

End-to-end Res-Unet based reconstruction algorithm for photoacoustic imaging

(2020) Jinchao Feng et al.   Biomedical Optics Express

A Sparse Deep Learning Approach for Automatic Segmentation of Human Vasculature in Multispectral Optoacoustic Tomography

(2020) Nikolaos-Kosmas Chlis et al.   Photoacoustics

Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography

(2020) Navchetan Awasthi et al.   IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL

Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo

(2020) Hengrong Lan et al.   Photoacoustics

PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics

(2019) Navchetan Awasthi et al.   Biomedical Optics Express

Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography

(2019) Hongming Shan et al.   Applied Sciences-Basel

A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation

(2019) Yoeri E. Boink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic cancer tissue detection using multispectral photoacoustic imaging

(2019) Kamal Jnawali et al.   International Journal of Computer Assisted Radiology and Surgery

Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal

(2019) Steven Guan et al.   IEEE Journal of Biomedical and Health Informatics

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

(2018) Alice Lucas et al.   IEEE SIGNAL PROCESSING MAGAZINE

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography

(2018) Andreas Hauptmann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Image Reconstruction is a New Frontier of Machine Learning

(2018) Ge Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning

(2018) Derek Allman et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

End-to-end deep neural network for optical inversion in quantitative photoacoustic imaging

(2018) Chuangjian Cai et al.   OPTICS LETTERS

Deep learning for photoacoustic tomography from sparse data

(2018) Stephan Antholzer et al.   INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

Enabling fast and high quality LED photoacoustic imaging: a recurrent neural networks based approach

(2018) Emran Mohammad Abu Anas et al.   Biomedical Optics Express

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Adipocyte Size Evaluation Based on Photoacoustic Spectral Analysis Combined with Deep Learning Method

(2018) Xiang Ma et al.   Applied Sciences-Basel

Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging

(2017) Yang Lou et al.   JOURNAL OF BIOMEDICAL OPTICS

Deep neural network-based bandwidth enhancement of photoacoustic data

(2017) Sreedevi Gutta et al.   JOURNAL OF BIOMEDICAL OPTICS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution

(2017) Lei Li et al.   Nature Biomedical Engineering

Tutorial on photoacoustic tomography

(2016) Yong Zhou et al.   JOURNAL OF BIOMEDICAL OPTICS

A practical guide to photoacoustic tomography in the life sciences

(2016) Lihong V Wang et al.   NATURE METHODS

Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues

(2016) Stratis Tzoumas et al.   Nature Communications

Deep learning

(2015) Yann LeCun et al.   NATURE

Optical properties of biological tissues: a review

(2013) Steven L Jacques   PHYSICS IN MEDICINE AND BIOLOGY

Quantitative spectroscopic photoacoustic imaging: a review

(2012) Ben Cox et al.   JOURNAL OF BIOMEDICAL OPTICS

Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs

(2012) L. V. Wang et al.   SCIENCE

In vivo functional photoacoustic microscopy of cutaneous microvasculature in human skin

(2011) Christopher P. Favazza et al.   JOURNAL OF BIOMEDICAL OPTICS

Second-generation optical-resolution photoacoustic microscopy with improved sensitivity and speed

(2011) Song Hu et al.   OPTICS LETTERS

Biomedical photoacoustic imaging

(2011) P. Beard   Interface Focus

Photoacoustic tomography in absorbing acoustic media using time reversal

(2010) Bradley E Treeby et al.   INVERSE PROBLEMS

A real-time photoacoustic tomography system for small animals

(2009) John Gamelin et al.   OPTICS EXPRESS

Tutorial on Photoacoustic Microscopy and Computed Tomography

(2008) Lihong V. Wang   IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS