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Metrics reloaded: Recommendations for image analysis validation
v1v2v3v4v5v6v7v8 (latest)

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
Veronika 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 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
ArXiv (abs)PDFHTML

Papers citing "Metrics reloaded: Recommendations for image analysis validation"

47 / 47 papers shown
Title
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds
Ranit Karmakar
Simon F. Nørrelykke
64
0
0
17 May 2025
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?
Abhishek Srivastava
Koushik Biswas
Gorkem Durak
Gulsah Ozden
Mustafa Adli
Ulas Bagci
Mamba3DV
104
0
0
10 Feb 2025
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
Jannik Elsäßer
Laura Weihl
Veronika Cheplygina
Lisbeth Tangaa Nielsen
175
0
0
20 Dec 2024
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
172
0
0
05 Dec 2024
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
Florian Robert
Alexia Calovoulos
Laurent Facq
Fanny Decoeur
Etienne Gontier
Christophe F. Grosset
B. D. D. Senneville
63
0
0
22 Jul 2024
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
58
6
0
29 May 2024
Multicenter Privacy-Preserving Model Training for Deep Learning Brain
  Metastases Autosegmentation
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
Yixing Huang
Zahra Khodabakhshi
A. Gomaa
Manuel Schmidt
R. Fietkau
Matthias Guckenberger
N. Andratschke
Christoph Bert
S. Tanadini-Lang
F. Putz
94
5
0
17 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
95
1
0
18 Sep 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
90
56
0
03 Feb 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image
  Classification
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
UQCV
94
38
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
69
13
0
17 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural
  networks
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel
Marine Le Morvan
Gaël Varoquaux
UQCV
72
27
0
28 Oct 2022
Analysis and Comparison of Classification Metrics
Analysis and Comparison of Classification Metrics
Luciana Ferrer
75
21
0
12 Sep 2022
blob loss: instance imbalance aware loss functions for semantic
  segmentation
blob loss: instance imbalance aware loss functions for semantic segmentation
Florian Kofler
Suprosanna Shit
Ivan Ezhov
Lucas Fidon
Izabela Horvath
...
J. Peeken
Tom Vercauteren
C. Zimmer
Benedikt Wiestler
Bjoern Menze
49
20
0
17 May 2022
Mitosis domain generalization in histopathology images -- The MIDOG
  challenge
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville
N. Stathonikos
C. Bertram
Robert Klopleisch
N. T. ter Hoeve
...
A. Khademi
Sen Yang
Xiyue Wang
M. Veta
Katharina Breininger
74
98
0
06 Apr 2022
Better Uncertainty Calibration via Proper Scores for Classification and
  Beyond
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Sebastian G. Gruber
Florian Buettner
UQCV
83
50
0
15 Mar 2022
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
123
993
0
10 Jun 2021
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
341
684
0
21 Apr 2021
Common Limitations of Image Processing Metrics: A Picture Story
Common Limitations of Image Processing Metrics: A Picture Story
Annika Reinke
M. Tizabi
Carole H. Sudre
Matthias Eisenmann
Tim Radsch
...
Gaël Varoquaux
Manuel Wiesenfarth
Ziv R. Yaniv
Paul Jäger
Lena Maier-Hein
89
147
0
12 Apr 2021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Bowen Cheng
Ross B. Girshick
Piotr Dollár
Alexander C. Berg
A. Kirillov
79
294
0
30 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of
  human expert perception for CNN training beyond rolling the DICE coefficient
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler
Ivan Ezhov
Fabian Isensee
F. Balsiger
Christoph Berger
...
C. Zimmer
D. Ankerst
Jan Kirschke
Benedikt Wiestler
Bjoern Menze
64
52
0
10 Mar 2021
Nondeterminism and Instability in Neural Network Optimization
Nondeterminism and Instability in Neural Network Optimization
Cecilia Summers
M. Dinneen
70
41
0
08 Mar 2021
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
143
688
0
06 Nov 2020
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression
Samuel Budd
P. Patkee
A. Baburamani
M. Rutherford
E. C. Robinson
Bernhard Kainz
36
2
0
04 Oct 2020
Metrics for Multi-Class Classification: an Overview
Metrics for Multi-Class Classification: an Overview
Margherita Grandini
Enrico Bagli
Giorgio Visani
VLM
57
925
0
13 Aug 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training
  Deep Learning Models
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
69
315
0
06 Jul 2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor
  Operating Room
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room
Lena Maier-Hein
M. Wagner
T. Ross
Annika Reinke
S. Bodenstedt
...
M. Apitz
Annette Kopp-Schneider
Stefanie Speidel
H. Kenngott
Beat P. Müller-Stich
92
85
0
07 May 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
221
2,064
0
16 Apr 2020
clDice -- A Novel Topology-Preserving Loss Function for Tubular
  Structure Segmentation
clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
A. Zhylka
J. Pluim
Ulrich Bauer
Bjoern Menze
143
303
0
16 Mar 2020
PatchPerPix for Instance Segmentation
PatchPerPix for Instance Segmentation
Peter Hirsch
Lisa Mais
Dagmar Kainmueller
3DVISeg
62
30
0
21 Jan 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
122
712
0
21 Oct 2019
Methods and open-source toolkit for analyzing and visualizing challenge
  results
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth
Annika Reinke
Bennett A. Landman
M. Jorge Cardoso
Lena Maier-Hein
A. Kopp-Schneider
58
98
0
11 Oct 2019
BIAS: Transparent reporting of biomedical image analysis challenges
BIAS: Transparent reporting of biomedical image analysis challenges
Lena Maier-Hein
Annika Reinke
Michal Kozubek
Anne L. Martel
Tal Arbel
...
Sinan Onogur
Julio Saez-Rodriguez
Bram van Ginneken
A. Kopp-Schneider
Bennett Landman
64
107
0
09 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine
  Learning for Medical Imaging
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner
Jared A. Dunnmon
G. Carneiro
Christopher Ré
OOD
83
383
0
27 Sep 2019
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
83
2,663
0
05 Jun 2019
Non-Determinism in Neural Networks for Adversarial Robustness
Non-Determinism in Neural Networks for Adversarial Robustness
Daanish Ali Khan
Linhong Li
Ninghao Sha
Zhuoran Liu
Abelino Jiménez
Bhiksha Raj
Rita Singh
OODAAML
28
3
0
26 May 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
120
862
0
25 Feb 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted
  by the International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
...
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
113
1,193
0
09 Feb 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After
  Learning
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter F. Schulam
Suchi Saria
OOD
101
104
0
02 Jan 2019
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
418
570
0
13 Aug 2018
Cell Detection with Star-convex Polygons
Cell Detection with Star-convex Polygons
Uwe Schmidt
Martin Weigert
Coleman Broaddus
E. Myers
76
1,114
0
09 Jun 2018
Why rankings of biomedical image analysis competitions should be
  interpreted with care
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
...
Ching-Wei Wang
M. Weber
G. Zheng
Pierre Jannin
A. Kopp-Schneider
66
302
0
06 Jun 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
134
1,448
0
03 Jan 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
116
1,081
0
23 Dec 2016
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan
  Planes in Freehand Ultrasound
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
Christian F. Baumgartner
Konstantinos Kamnitsas
Jacqueline Matthew
Tara P. Fletcher
Sandra Smith
Lisa M. Koch
Bernhard Kainz
Daniel Rueckert
72
317
0
16 Dec 2016
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
442
43,875
0
01 May 2014
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