Dr. Andreas Hauptmann Profile

Dr. Andreas Hauptmann

at Univ College London

SPIE Involvement:

Author

Publications (4)

SPIE Journal Paper | 26 October 2020 Open Access

Deep learning in photoacoustic tomography: current approaches and future directions

Andreas Hauptmann, Ben Cox

JBO, Vol. 25, Issue 11, 112903, (October 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.11.112903

KEYWORDS: Acquisition tracking and pointing, Acoustics, Image restoration, Photoacoustic tomography, Data modeling, Absorption, Network architectures, Reconstruction algorithms, Sensors, In vivo imaging

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 24 August 2020 Open Access

Toward accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in three dimensions

Ciaran Bench, Andreas Hauptmann, Ben Cox

JBO, Vol. 25, Issue 08, 085003, (August 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.8.085003

KEYWORDS: 3D modeling, Tissues, 3D image processing, Tissue optics, Image segmentation, Data modeling, In vivo imaging, Network architectures, Absorption, Photoacoustic imaging

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 28 May 2019 Paper

Application of Proximal Alternating Linearized Minimization (PALM) and inertial PALM to dynamic 3D CT

Nargiza Djurabekova, Andrew Goldberg, Andreas Hauptmann, David Hawkes, Guy Long, Felix Lucka, Marta Betcke

Proceedings Volume 11072, 1107208 (2019) https://doi.org/10.1117/12.2534827

KEYWORDS: Optical flow, Computed tomography, Reconstruction algorithms, Bone, Data modeling, 3D applications, In vivo imaging, Magnetic resonance imaging

Read Abstract +

Proceedings Article | 4 March 2019 Presentation

Deep learning for photoacoustic image reconstruction from incomplete data (Conference Presentation)

Andreas Hauptmann, Ben Cox, Felix Lucka, Nam Huynh, Marta Betcke, Jonas Adler, Paul Beard, Simon Arridge

Proceedings Volume 10878, 108781G (2019) https://doi.org/10.1117/12.2507210

KEYWORDS: Image restoration, Photoacoustic spectroscopy, Data acquisition, Neural networks, Machine learning, Convolutional neural networks, Convolution, Image classification, Image processing, Reconstruction algorithms

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years