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Estimation of blood oxygenation with learned spectral decoloring for
  quantitative photoacoustic imaging (LSD-qPAI)

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

15 February 2019
J. Gröhl
Thomas Kirchner
T. Adler
Lena Maier-Hein
ArXiv (abs)PDFHTML

Papers citing "Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)"

7 / 7 papers shown
Title
A study of why we need to reassess full reference image quality assessment with medical images
A study of why we need to reassess full reference image quality assessment with medical images
Anna Breger
A. Biguri
Malena Sabaté Landman
Ian Selby
Nicole Amberg
...
Lipeng Ning
Sören Dittmer
Michael Roberts
AIX-COVNET Collaboration
Carola-Bibiane Schönlieb
69
6
0
29 May 2024
Application-driven Validation of Posteriors in Inverse Problems
Application-driven Validation of Posteriors in Inverse Problems
T. Adler
Jan-Hinrich Nolke
Annika Reinke
M. Tizabi
Sebastian Gruber
...
Lynton Ardizzone
Paul F. Jaeger
Florian Buettner
Ullrich Kothe
Lena Maier-Hein
MedIm
104
1
0
18 Sep 2023
Video-rate multispectral imaging in laparoscopic surgery: First-in-human
  application
Video-rate multispectral imaging in laparoscopic surgery: First-in-human application
Leonardo Ayala
Sebastian J. Wirkert
A. Vemuri
T. Adler
Silvia Seidlitz
Sebastian Pirmann
C. Engels
D. Teber
Lena Maier-Hein
58
25
0
28 May 2021
Semantic segmentation of multispectral photoacoustic images using deep
  learning
Semantic segmentation of multispectral photoacoustic images using deep learning
Melanie Schellenberg
Kris K. Dreher
Niklas Holzwarth
Fabian Isensee
Annika Reinke
Nicholas Schreck
A. Seitel
M. Tizabi
Lena Maier-Hein
J. Gröhl
86
32
0
20 May 2021
Deep learning for biomedical photoacoustic imaging: A review
Deep learning for biomedical photoacoustic imaging: A review
J. Gröhl
Melanie Schellenberg
Kris K. Dreher
Lena Maier-Hein
127
195
0
05 Nov 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future
  directions
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
A. Hauptmann
B. Cox
142
131
0
16 Sep 2020
Deep learning for photoacoustic imaging: a survey
Deep learning for photoacoustic imaging: a survey
Changchun Yang
Hengrong Lan
Feng Gao
Fei Gao
VLMMedIm
59
21
0
10 Aug 2020
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