Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1706.03595
Cited By
v1
v2 (latest)
Context encoding enables machine learning-based quantitative photoacoustics
12 June 2017
Thomas Kirchner
J. Gröhl
Lena Maier-Hein
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Context encoding enables machine learning-based quantitative photoacoustics"
6 / 6 papers shown
Title
Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications
Lei Wang
Weiming Zeng
Kai Long
Rongfeng Lan
Li Liu
W. Siok
Nizhuan Wang
Nizhuan Wang
57
0
0
05 Nov 2024
Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring
Thomas Kirchner
M. Frenz
16
0
0
22 Feb 2021
Deep learning for biomedical photoacoustic imaging: A review
J. Gröhl
Melanie Schellenberg
Kris K. Dreher
Lena Maier-Hein
125
195
0
05 Nov 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
A. Hauptmann
B. Cox
142
131
0
16 Sep 2020
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
T. Adler
Lynton Ardizzone
A. Vemuri
Leonardo Ayala
J. Gröhl
...
Sebastian J. Wirkert
Jakob Kruse
Carsten Rother
Ullrich Kothe
Lena Maier-Hein
UQCV
55
31
0
08 Mar 2019
Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)
J. Gröhl
Thomas Kirchner
T. Adler
Lena Maier-Hein
37
61
0
15 Feb 2019
1