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The state of the art in kidney and kidney tumor segmentation in
  contrast-enhanced CT imaging: Results of the KiTS19 Challenge

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

2 December 2019
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
Fengyi Li
Yang Nan
Guangrui Mu
Zhiyong Lin
Miofei Han
G. Yao
Yaozong Gao
Yao Zhang
Yixin Wang
Feng Hou
Jiawei Yang
Guangwei Xiong
Jiang Tian
Cheng Zhong
Jun Ma
Jack Rickman
Joshua Dean
Bethany Stai
R. Tejpaul
Makinna Oestreich
P. Blake
H. Kaluzniak
Shaneabbas Raza
J. Rosenberg
K. Moore
E. Walczak
Z. Rengel
Zach Edgerton
R. Vasdev
M. Peterson
S. McSweeney
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
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Papers citing "The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge"

15 / 65 papers shown
Title
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with
  Low GPU Memory Requirements
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
Franz Thaler
Christian Payer
Horst Bischof
Darko Štern
30
5
0
26 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
25
30
0
31 Oct 2021
Comparative Validation of Machine Learning Algorithms for Surgical
  Workflow and Skill Analysis with the HeiChole Benchmark
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
M. Wagner
Beat-Peter Müller-Stich
A. Kisilenko
Duc Tran
P. Heger
...
M. Frankenberg
F. Mathis-Ullrich
Lena Maier-Hein
Stefanie Speidel
S. Bodenstedt
30
67
0
30 Sep 2021
Leveraging Clinical Characteristics for Improved Deep Learning-Based
  Kidney Tumor Segmentation on CT
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
C. Lund
Bas H. M. van der Velden
9
7
0
13 Sep 2021
Automatic size and pose homogenization with spatial transformer network
  to improve and accelerate pediatric segmentation
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
Giammarco La Barbera
Pietro Gori
Haithem Boussaid
Bruno Belucci
A. Delmonte
Jeanne Goulin
S. Sarnacki
L. Rouet
Isabelle Bloch
ViT
MedIm
19
4
0
06 Jul 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Jicong Zhang
SSL
36
38
0
08 Mar 2021
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Fanwei Kong
N. Wilson
S. Shadden
MedIm
AI4CE
55
82
0
16 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
35
394
0
08 Feb 2021
Exploiting Shared Knowledge from Non-COVID Lesions for
  Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
54
23
0
31 Dec 2020
Cascaded Convolutional Neural Network for Automatic Myocardial
  Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Yichi Zhang
18
24
0
28 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
21
47
0
25 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
26
326
0
28 Oct 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient
  Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang
Qingcheng Liao
Leiting Ding
Jicong Zhang
3DV
26
81
0
13 Oct 2020
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
32
170
0
17 Apr 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,639
0
19 Feb 2017
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