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Why is the winner the best?

Why is the winner the best?

30 March 2023
Matthias Eisenmann
Annika Reinke
V. Weru
M. Tizabi
Fabian Isensee
T. Adler
Sharib Ali
Vincent Andrearczyk
Marc Aubreville
Ujjwal Baid
Spyridon Bakas
N. Balu
Sophia Bano
Jorge Bernal
S. Bodenstedt
Alessandro Casella
V. Cheplygina
M. Daum
Marleen de Bruijne
A. Depeursinge
R. Dorent
Jan Egger
David G. Ellis
Sandy Engelhardt
M. Ganz
N. Ghatwary
G. Girard
Patrick Godau
Anubha Gupta
Lasse Hansen
Kanako Harada
M. Heinrich
N. Heller
Alessa Hering
Arnaud Huaulmé
Pierre Jannin
A. Emre Kavur
Oldvrich Kodym
Michal Kozubek
Jianning Li
Hongwei Bran Li
Jun Ma
Carlos Martín-Isla
Bjoern H. Menze
A. Noble
Valentin Oreiller
N. Padoy
Sarthak Pati
K. Payette
Tim Radsch
Jonathan Rafael-Patiño
V. Bawa
Stefanie Speidel
Carole H. Sudre
K. V. Wijnen
M. Wagner
Dong-mei Wei
Amine Yamlahi
Moi Hoon Yap
Chun Yuan
M. Zenk
Aneeq Zia
David Zimmerer
D. Aydogan
Binod Bhattarai
Louise Bloch
Raphael Brüngel
Jihoon Cho
Chanyeol Choi
Qiongyi Dou
Ivan Ezhov
Christoph M. Friedrich
Clifton Fuller
Rebati Gaire
Adrian Galdran
Álvaro García-Faura
M. Grammatikopoulou
S. Hong
Mostafa Jahanifar
Ikbeom Jang
A. Kadkhodamohammadi
In-Joo Kang
Florian Kofler
Satoshi Kondo
Hugo J. Kuijf
Mingxing Li
Minh Huan Luu
Tomavz Martinvcivc
Pedro Morais
Mohamed Naser
Bruno Oliveira
David Owen
Subeen Pang
Jinah Park
Sung-Hong Park
Szymon Płotka
Élodie Puybareau
Nasir M. Rajpoot
Kanghyun Ryu
Numan Saeed
A. Shephard
Pengcheng Shi
Dejan vStepec
Ronast Subedi
Guillaume Tochon
Helena R. Torres
Hélène Urien
Joao L. Vilacca
K. Wahid
Haojie Wang
Jiacheng Wang
Lian Wang
Xiyue Wang
Benedikt Wiestler
Marek Wodzinski
Fangfang Xia
Juanying Xie
Zhiwei Xiong
Sen Yang
Yanwu Yang
Zixuan Zhao
Klaus Maier-Hein
Paul F. Jäger
A. Kopp-Schneider
Lena Maier-Hein
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Papers citing "Why is the winner the best?"

7 / 7 papers shown
Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
46
8
0
20 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
Segmenting Medical Images with Limited Data
Segmenting Medical Images with Limited Data
Zhaoshan Liua
Qiujie Lv
Chau Hung Lee
L. Shen
59
11
0
12 Jul 2024
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 2023
Domain generalization across tumor types, laboratories, and species --
  insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Marc Aubreville
N. Stathonikos
T. Donovan
R. Klopfleisch
J. Ganz
...
Yongbing Zhang
Sen Yang
Xiyue Wang
Katharina Breininger
C. Bertram
32
16
0
27 Sep 2023
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
Matthias Hadlich
Zdravko Marinov
Rainer Stiefelhagen
20
2
0
21 Sep 2023
Biomedical image analysis competitions: The state of current
  participation practice
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann
Annika Reinke
V. Weru
M. Tizabi
Fabian Isensee
...
Baosheng Zou
Klaus Maier-Hein
Paul F. Jäger
A. Kopp-Schneider
Lena Maier-Hein
29
25
0
16 Dec 2022
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