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Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
15 June 2021
Maximilian Dietrich
Silvia Seidlitz
Nicholas Schreck
Manuel Wiesenfarth
Patrick Godau
M. Tizabi
Jan Sellner
S. Marx
Samuel Knödler
M. Allers
Leonardo Ayala
K. Schmidt
T. Brenner
Alexander Studier-Fischer
Felix Nickel
Beat P. Müller-Stich
A. Kopp-Schneider
Markus A. Weigand
Lena Maier-Hein
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Papers citing
"Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis"
5 / 5 papers shown
Title
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
72
32
0
20 May 2021
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M. Roberts
D. Driggs
Matthew Thorpe
J. Gilbey
Michael Yeung
...
Kang Zhang
S. Stranks
James H. F. Rudd
Evis Sala
Carola-Bibiane Schönlieb
OOD
52
769
0
14 Aug 2020
A deep learning system for differential diagnosis of skin diseases
Yuan Liu
Ayush Jain
C. Eng
David H. Way
Kang Lee
...
Dennis Ai
Shijie Huang
Yun-Hui Liu
R. C. Dunn
David Coz
44
592
0
11 Sep 2019
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables
Giovanni Sutanto
J. Zech
Luke Oakden-Rayner
Yevgen Chebotar
Manway Liu
William Gale
M. McConnell
Ankur Handa
Thomas M. Snyder
Dieter Fox
AI4CE
OOD
74
244
0
08 Nov 2018
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
S. Moccia
Sebastian J. Wirkert
H. Kenngott
A. Vemuri
M. Apitz
Benjamin F. B. Mayer
E. De Momi
L. Mattos
L. Maier-Hein
55
51
0
21 Jun 2017
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