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Why rankings of biomedical image analysis competitions should be
  interpreted with care

Why rankings of biomedical image analysis competitions should be interpreted with care

6 June 2018
Lena Maier-Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
Patrick Scholz
Tal Arbel
Hrvoje Bogunović
A. Bradley
A. Carass
Carolin Feldmann
Alejandro F. Frangi
Peter M. Full
Bram van Ginneken
Allan Hanbury
Katrin Honauer
Michal Kozubek
Bennett A. Landman
Keno Marz
Oskar Maier
Klaus Maier-Hein
Bjoern H. Menze
Henning Muller
Peter Neher
W. Niessen
Nasir M. Rajpoot
G. Sharp
K. Sirinukunwattana
Stefanie Speidel
C. Stock
Danail Stoyanov
A. Taha
F. van der Sommen
Ching-Wei Wang
M. Weber
G. Zheng
Pierre Jannin
A. Kopp-Schneider
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Papers citing "Why rankings of biomedical image analysis competitions should be interpreted with care"

23 / 23 papers shown
Title
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAI
ELM
42
2
0
03 Jan 2025
Foundations of the Theory of Performance-Based Ranking
Foundations of the Theory of Performance-Based Ranking
Sébastien Piérard
Anaïs Halin
A. Cioppa
A. Deliège
Marc Van Droogenbroeck
95
1
0
05 Dec 2024
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain
  Shift
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
Patrick M. Jensen
Anders B. Dahl
Carsten Gundlach
Rebecca J Engberg
H. Kjer
Vedrana Andersen Dahl
33
1
0
04 Apr 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts
Deployment of Image Analysis Algorithms under Prevalence Shifts
Patrick Godau
P. Kalinowski
E. Christodoulou
Annika Reinke
M. Tizabi
Luciana Ferrer
Paul Jäger
Lena Maier-Hein
42
9
0
22 Mar 2023
Artificial Intelligence System for Detection and Screening of Cardiac
  Abnormalities using Electrocardiogram Images
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Deyun Zhang
Shijia Geng
Yang Zhou
Wei-Zhao Xu
Guodong Wei
...
Tong Liu
Kangyin Chen
Chenyang Jiang
Xingpeng Liu
linda Qiao
21
5
0
10 Feb 2023
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
28
265
0
27 Nov 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
25
53
0
20 Jul 2022
Never mind the metrics -- what about the uncertainty? Visualising
  confusion matrix metric distributions
Never mind the metrics -- what about the uncertainty? Visualising confusion matrix metric distributions
D. Lovell
Dimity Miller
Jaiden Capra
Andrew Bradley
UQCV
16
2
0
05 Jun 2022
Metrics reloaded: Recommendations for image analysis validation
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
...
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
34
216
0
03 Jun 2022
Deep Quality Estimation: Creating Surrogate Models for Human Quality
  Ratings
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings
Florian Kofler
Ivan Ezhov
Lucas Fidon
Izabela Horvath
Ezequiel de la Rosa
...
Jan Kirschke
Tom Kamiel Magda Vercauteren
C. Zimmer
Benedikt Wiestler
Bjoern H. Menze
22
5
0
17 May 2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and
  Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk
Valentin Oreiller
S. Boughdad
C. Cheze-le-Rest
H. Elhalawani
...
John O. Prior
M. Vallières
D. Visvikis
M. Hatt
A. Depeursinge
35
83
0
11 Jan 2022
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence
  using Federated Evaluation
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
Alexandros Karargyris
Renato Umeton
Micah J. Sheller
Alejandro Aristizabal
Johnu George
...
Poonam Yadav
Michael Rosenthal
M. Loda
Jason M. Johnson
Peter Mattson
FedML
46
72
0
29 Sep 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 Jul 2021
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
57
949
0
10 Jun 2021
nnU-Net for Brain Tumor Segmentation
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
25
292
0
02 Nov 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
36
82
0
07 May 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for
  Multi-detector CT Images
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina
M. Husseini
Amirhossein Bayat
Maximilian Löffler
Hans Liebl
...
Ben Glocker
A. Valentinitsch
Markus Rempfler
Bjorn H. Menze
Jan S. Kirschke
24
248
0
24 Jan 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
50
611
0
17 Jan 2020
Causality matters in medical imaging
Causality matters in medical imaging
Daniel Coelho De Castro
Ian Walker
Ben Glocker
CML
23
337
0
17 Dec 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
20
103
0
09 Oct 2019
Automated Design of Deep Learning Methods for Biomedical Image
  Segmentation
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
Fabian Isensee
Paul F. Jäger
Simon A. A. Kohl
Jens Petersen
Klaus H. Maier-Hein
3DV
SSeg
29
170
0
17 Apr 2019
Cats or CAT scans: transfer learning from natural or medical image
  source datasets?
Cats or CAT scans: transfer learning from natural or medical image source datasets?
V. Cheplygina
OOD
MedIm
23
58
0
12 Oct 2018
Predicting breast tumor proliferation from whole-slide images: the
  TUPAC16 challenge
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M. Veta
Y. Heng
N. Stathonikos
B. Bejnordi
F. Beca
...
E. Chang
Yan Xu
Andrew H. Beck
P. Diest
J. Pluim
22
259
0
22 Jul 2018
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