Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent

Autor: Buchmann, Jens, Kaplan, Bernhard, Powell, Samuel, Prohaska, Steffen, Laufer, Jan, Kaplan, Bernhard A.

Publikováno v: Buchmann, J, Kaplan, B, Powell, S, Prohaska, S, Laufer, J & Kaplan, B A 2019, ' Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent ', Journal of Biomedical Optics, vol. 24, no. 6, 066001, pp. 1-13 . https://doi.org/10.1117/1.JBO.24.6.066001

Quantitative photoacoustic tomography aims to recover maps of the local concentrations of tissue chromophores from multispectral images. While model-based inversion schemes are promising approaches, major challenges to their practical implementation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2761::c27819c1bf9d11250cc234e13a7e7a32
https://kclpure.kcl.ac.uk/en/publications/fc5b634a-b45d-4bf7-9f59-594d3c71053a

Large-scale simulations of plastic neural networks on neuromorphic hardware

Autor: Knight, James Courtney, Tully, Philip Joseph, Kaplan, Bernhard A, Lansner, Anders, Furber, Stephen

Publikováno v: Knight, J C, Tully, P J, Kaplan, B A, Lansner, A & Furber, S 2016, ' Large-scale simulations of plastic neural networks on neuromorphic hardware ', Frontiers in Neuroanatomy, vol. 10, no. 37, 37 . https://doi.org/10.3389/fnana.2016.00037

SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3818::ae6a48913a9a8bec1fda54e4661f9b22
https://pure.manchester.ac.uk/ws/files/160434672/fnana_10_00037.pdf

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Monte-Carlo-based inversion scheme for 3D quantitative photoacoustic tomography

Autor: Oraevsky, Alexander A., Wang, Lihong V., Kaplan, Bernhard A., Buchmann, Jens, Prohaska, Steffen, Laufer, Jan

Publikováno v: Proceedings of SPIE; March 2017, Vol. 10064 Issue: 1 p100645J-100645J-13, 9963869p

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network.

Autor: Kaplan, Bernhard A., Khoei, Mina A., Lansner, Anders, Perrinet, Laurent U.

Publikováno v: 2014 International Joint Conference on Neural Networks (IJCNN); 2014, p3205-3212, 8p