[HTML][HTML] Deep learning for biomedical photoacoustic imaging: A review

J Gröhl, M Schellenberg, K Dreher, L Maier-Hein - Photoacoustics, 2021 - Elsevier
Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …

Deep learning in photoacoustic tomography: current approaches and future directions

A Hauptmann, B Cox - Journal of Biomedical Optics, 2020 - spiedigitallibrary.org
Biomedical photoacoustic tomography, which can provide high-resolution 3D soft tissue
images based on optical absorption, has advanced to the stage at which translation from the …

[HTML][HTML] Best practices for fNIRS publications

MA Yücel, A Lühmann, F Scholkmann… - …, 2021 - spiedigitallibrary.org
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …

[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report

H Ayaz, WB Baker, G Blaney, DA Boas… - …, 2022 - spiedigitallibrary.org
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

3D high-density microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics

H Shin, S Jeong, JH Lee, W Sun, N Choi… - Nature communications, 2021 - nature.com
Investigation of neural circuit dynamics is crucial for deciphering the functional connections
among regions of the brain and understanding the mechanism of brain dysfunction. Despite …

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

F Scholkmann, S Kleiser, AJ Metz, R Zimmermann… - Neuroimage, 2014 - Elsevier
This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging
(fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based …

Language as an abstraction for hierarchical deep reinforcement learning

Y Jiang, SS Gu, KP Murphy… - Advances in Neural …, 2019 - proceedings.neurips.cc
Solving complex, temporally-extended tasks is a long-standing problem in reinforcement
learning (RL). We hypothesize that one critical element of solving such problems is the …

Real-time high-resolution mid-infrared optical coherence tomography

NM Israelsen, CR Petersen, A Barh, D Jain… - Light: Science & …, 2019 - nature.com
The potential for improving the penetration depth of optical coherence tomography systems
by using light sources with longer wavelengths has been known since the inception of the …

fNIRS Optodes' Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest

GA Zimeo Morais, JB Balardin, JR Sato - Scientific reports, 2018 - nature.com
The employment of functional near-infrared spectroscopy (fNIRS) as a method of brain
imaging has increased over the last few years due to its portability, low-cost and robustness …

Quantitative spectroscopic photoacoustic imaging: a review

B Cox, JG Laufer, SR Arridge… - Journal of biomedical …, 2012 - spiedigitallibrary.org
Obtaining absolute chromophore concentrations from photoacoustic images obtained at
multiple wavelengths is a nontrivial aspect of photoacoustic imaging but is essential for …