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Metrics reloaded: Recommendations for image analysis validation

Metrics reloaded: Recommendations for image analysis validation

3 June 2022
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
E. Christodoulou
Ben Glocker
Fabian Isensee
Jens Kleesiek
Michal Kozubek
M. Reyes
Michael A. Riegler
Manuel Wiesenfarth
A. Emre Kavur
Carole H. Sudre
Michael Baumgartner
Matthias Eisenmann
Doreen Heckmann-Notzel
Tim Radsch
Laura Acion
Michela Antonelli
Tal Arbel
Spyridon Bakas
Allison Benis
P. Bankhead
M. Jorge Cardoso
V. Cheplygina
Beth A. Cimini
Gary S. Collins
Keyvan Farahani
Luciana Ferrer
Adrian Galdran
Bram van Ginneken
Robert Haase
Daniel A. Hashimoto
Michael M. Hoffman
M. Huisman
Pierre Jannin
Charles E. Kahn
Dagmar Kainmueller
Bernhard Kainz
Alexandros Karargyris
Alan Karthikesalingam
H. Kenngott
D. Moher
A. Kopp-Schneider
Anna Kreshuk
Tahsin M. Kurc
Bennett A. Landman
G. Litjens
Amin Madani
Klaus Maier-Hein
Anne L. Martel
Peter Mattson
Erik H. W. Meijering
Bjoern H. Menze
Karel G. M. Moons
Henning Muller
Brennan Nichyporuk
Felix Nickel
Jens Petersen
Nasir M. Rajpoot
Nicola Rieke
Julio Saez-Rodriguez
Clarisa Sánchez Gutiérrez
S. Shetty
Maarten van Smeden
Ronald M. Summers
A. Taha
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
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Papers citing "Metrics reloaded: Recommendations for image analysis validation"

23 / 73 papers shown
Title
Simulation of acquisition shifts in T2 Flair MR images to stress test AI
  segmentation networks
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks
Christian Posselt
Mehmet Yigit Avci
Mehmet Yigitsoy
Patrick Schünke
Christoph Kolbitsch
Tobias Schäffter
Stefanie Remmele
OOD
8
0
0
03 Nov 2023
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking
  and Mapping
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping
Adam Schmidt
Omid Mohareri
S. DiMaio
Septimiu E. Salcudean
34
6
0
28 Sep 2023
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
25
1
0
18 Sep 2023
FUTURE-AI: International consensus guideline for trustworthy and
  deployable artificial intelligence in healthcare
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir
Aasa Feragen
Abdul Joseph Fofanah
Alejandro F Frangi
Alena Buyx
...
Yi Zeng
Yunusa G Mohammed
Yves Saint James Aquino
Zohaib Salahuddin
M. P. Starmans
AI4TS
27
37
0
11 Aug 2023
The Multi-modality Cell Segmentation Challenge: Towards Universal
  Solutions
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma
Ronald Xie
Shamini Ayyadhury
Cheng Ge
Anubha Gupta
...
Beth A. Cimini
C. Zuo
Oscar Bruck
Gary D. Bader
Bohui Wang
VLM
11
36
0
10 Aug 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Zifu Wang
Teodora Popordanoska
J. Bertels
Robin Lemmens
Matthew B. Blaschko
19
10
0
28 Mar 2023
Semantic segmentation of surgical hyperspectral images under geometric
  domain shifts
Semantic segmentation of surgical hyperspectral images under geometric domain shifts
Jan Sellner
Silvia Seidlitz
Alexander Studier-Fischer
Alessandro Motta
Berkin Özdemir
Beat Peter Müller-Stich
Felix Nickel
Lena Maier-Hein
6
7
0
20 Mar 2023
Fixing Overconfidence in Dynamic Neural Networks
Fixing Overconfidence in Dynamic Neural Networks
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
21
16
0
13 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
25
11
0
11 Feb 2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for
  White Matter Lesion Segmentation
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
Vatsal Raina
N. Molchanova
Mara Graziani
A. Malinin
Henning Muller
Meritxell Bach Cuadra
Mark J. F. Gales
14
8
0
10 Feb 2023
Understanding metric-related pitfalls in image analysis validation
Understanding metric-related pitfalls in image analysis validation
Annika Reinke
M. Tizabi
Michael Baumgartner
Matthias Eisenmann
Doreen Heckmann-Notzel
...
Gaël Varoquaux
Manuel Wiesenfarth
Ziv R. Yaniv
Paul F. Jäger
Lena Maier-Hein
13
51
0
03 Feb 2023
Approaching Peak Ground Truth
Approaching Peak Ground Truth
Florian Kofler
J. Wahle
Ivan Ezhov
S. J. Wagner
Rami Al-Maskari
...
Jan Kirschke
C. Zimmer
Benedikt Wiestler
Bjoern H. Menze
Marie Piraud
19
9
0
31 Dec 2022
UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
Ming Yang
F. Khan
MedIm
24
128
0
08 Dec 2022
Class Adaptive Network Calibration
Class Adaptive Network Calibration
Bingyuan Liu
Jérôme Rony
Adrian Galdran
Jose Dolz
Ismail Ben Ayed
33
8
0
28 Nov 2022
Sources of performance variability in deep learning-based polyp
  detection
Sources of performance variability in deep learning-based polyp detection
T. Tran
T. Adler
Amine Yamlahi
E. Christodoulou
Patrick Godau
...
M. Tizabi
Peter Sauer
Tillmann Persicke
Jörg Gerhard Albert
Lena Maier-Hein
13
12
0
17 Nov 2022
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
26
1
0
28 Oct 2022
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled
  Data
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data
D. Hartmann
Verena Schmid
Philip Meyer
Iñaki Soto Rey
Dominik Muller
Frank Kramer
17
1
0
24 Oct 2022
Neural Network Compression by Joint Sparsity Promotion and Redundancy
  Reduction
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction
T. M. Khan
Syed S. Naqvi
A. Robles-Kelly
Erik H. W. Meijering
23
7
0
14 Oct 2022
Analysis and Comparison of Classification Metrics
Analysis and Comparison of Classification Metrics
Luciana Ferrer
21
19
0
12 Sep 2022
Labeling instructions matter in biomedical image analysis
Labeling instructions matter in biomedical image analysis
Tim Radsch
Annika Reinke
V. Weru
M. Tizabi
Nicholas Schreck
A. Emre Kavur
Bunyamin Pekdemir
T. Ross
A. Kopp-Schneider
Lena Maier-Hein
17
53
0
20 Jul 2022
Brain tumour segmentation with incomplete imaging data
Brain tumour segmentation with incomplete imaging data
James K. Ruffle
Samia Mohinta
Robert J. Gray
H. Hyare
P. Nachev
19
8
0
13 Jun 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
642
0
21 Apr 2021
PatchPerPix for Instance Segmentation
PatchPerPix for Instance Segmentation
Peter Hirsch
Lisa Mais
Dagmar Kainmueller
3DV
ISeg
11
30
0
21 Jan 2020
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