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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
Hyunjin Park
T. Adler
Sharib Ali
Vincent Andrearczyk
Marc Aubreville
Ujjwal Baid
Spyridon Bakas
N. Balu
Sophia Bano
Jorge Bernal
S. Bodenstedt
Alessandro Casella
Veronika Cheplygina
M. Daum
Marleen de Bruijne
Adrien Depeursinge
Reuben 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 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
ArXiv (abs)PDFHTML

Papers citing "Why is the winner the best?"

15 / 15 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 Yuille
Zongwei Zhou
MedIm
148
11
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
296
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
108
14
0
12 Jul 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
111
6
0
28 Jun 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
82
19
0
23 Nov 2023
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
85
19
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
69
21
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
67
2
0
21 Sep 2023
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer
  Vision
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li
Zongwei Zhou
Jiancheng Yang
Antonio Pepe
Christina Schwarz-Gsaxner
...
B. Puladi
Pascal Fua
Alan Yuille
Jens Kleesiek
Jan Egger
MedIm3DH
154
35
0
30 Aug 2023
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical
  Image Analysis
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
Zhaoshan Liu
Qiujie Lv
Yifan Li
Ziduo Yang
Leizhao Shen
MedIm
78
13
0
30 Jun 2023
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive
  testing
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing
L. Tang
3DPC
74
0
0
07 Jun 2023
nnMobileNet: Rethinking CNN for Retinopathy Research
nnMobileNet: Rethinking CNN for Retinopathy Research
Wenhui Zhu
Peijie Qiu
Xiwen Chen
Xin Li
Natasha Lepore
Oana Dumitrascu
Yalin Wang
93
8
0
02 Jun 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
Chongyu Qu
Tiezheng Zhang
Hualin Qiao
Jie Liu
Yucheng Tang
Alan Yuille
Zongwei Zhou
130
40
0
16 May 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
Hyunjin Park
...
Baosheng Zou
Klaus Maier-Hein
Paul F. Jäger
A. Kopp-Schneider
Lena Maier-Hein
72
28
0
16 Dec 2022
Placental Vessel Segmentation and Registration in Fetoscopy: Literature
  Review and MICCAI FetReg2021 Challenge Findings
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
Sophia Bano
Alessandro Casella
Francisco Vasconcelos
Abdul Qayyum
A. Benzinou
...
Jan Deprest
Elena De Momi
L. Mattos
S. Moccia
Danail Stoyanov
72
6
0
24 Jun 2022
1