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1901.04056
Cited By
The Liver Tumor Segmentation Benchmark (LiTS)
13 January 2019
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
Fabian Lohöfer
Julian Walter Holch
Wieland Sommer
Felix O. Hofmann
Alexandre Hostettler
Naama Lev-Cohain
M. Drozdzal
Michal Marianne Amitai
Refael Vivantik
Jacob Sosna
Miao Le
Anjany Sekuboyina
Fernando Navarro
Florian Kofler
C. Pal
Chunming Li
Xiao Han
Jana Lipková
Markus Rempfler
Marie Piraud
Jan Kirschke
Benedikt Wiestler
Zhiheng Zhang
Christian Hülsemeyer
M. Beetz
Florian Ettlinger
Michela Antonelli
Woong Bae
Míriam Bellver
Xiaomeng Li
A. Schenk
G. Chlebus
Erik B. Dam
Qi Dou
Chi-Wing Fu
Bogdan Georgescu
Xavier Giró-i-Nieto
Felix Grün
Xu Han
Ping Zhou
Jurgen Hesser
J. Moltz
Christian Igel
Fabian Isensee
Paul Jäger
Fucang Jia
Krishna Chaitanya Kaluva
Mahendra Khened
Ildoo Kim
Jae-Hun Kim
Sungwoong Kim
Simon A. A. Kohl
Tomasz K. Konopczynski
Avinash Kori
Ganapathy Krishnamurthi
F. Lohöfer
Hongchao Li
Junbo Li
Xiaomeng Li
John S. Lowengrub
Jun Ma
Klaus Maier-Hein
Kevis-Kokitsi Maninis
H. Meine
Dorit Merhof
Akshay Pai
Mathias Perslev
Jens Petersen
Jordi Pont-Tuset
Jin Qi
Xiaojuan Qi
Oliver Rippel
Karsten Roth
Ignacio Sarasua
Avi Ben-Cohen
ZENGMING SHEN
Johan Moreau
Christian Wachinger
Eyal Klang
Eli Konen
Jianrong Wu
Daguang Xu
Xiaoping Yang
N. Lev-Cohain
Adi Szeskin
Miao Yu
R. Vivanti
J. Sosna
Spyridon Bakas
R. Braren
V. Heinemann
Christopher Pal
A. Tang
Samuel Kadoury
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern H. Menze
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Papers citing
"The Liver Tumor Segmentation Benchmark (LiTS)"
21 / 121 papers shown
Title
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks
Dario Augusto Borges Oliveira
GAN
MedIm
16
0
0
01 Jun 2021
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Yuanpeng Liu
Qinglei Hui
Zhiyi Peng
S. Gong
D. Kong
21
4
0
29 May 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian V. Dalca
M. Sabuncu
SSeg
36
14
0
21 May 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin
Hui Cui
Changming Sun
Zhaopeng Meng
R. Su
GAN
MedIm
38
44
0
20 Apr 2021
mlf-core: a framework for deterministic machine learning
Lukas Heumos
Philipp Ehmele
Luis Kuhn Cuellar
Kevin Menden
Edmund Miller
Steffen Lemke
G. Gabernet
S. Nahnsen
AI4CE
16
3
0
15 Apr 2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi
Min Xian
Xiancheng Zhou
Haotian Wang
Heng-Da Cheng
29
15
0
24 Feb 2021
Unsupervised Medical Image Alignment with Curriculum Learning
Mihail Burduja
Radu Tudor Ionescu
29
12
0
20 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
48
529
0
18 Feb 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen
Yun Yvonna Li
Lina Yao
Ehsan Adeli
Yu Zhang
GAN
OOD
MedIm
54
17
0
12 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
64
25
0
01 Jan 2021
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
52
23
0
31 Dec 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
23
294
0
28 Oct 2020
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
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
42
84
0
05 Sep 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
Yosuke Oyama
N. Maruyama
Nikoli Dryden
Erin McCarthy
P. Harrington
J. Balewski
Satoshi Matsuoka
Peter Nugent
B. Van Essen
3DV
AI4CE
32
37
0
25 Jul 2020
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,709
0
18 Mar 2020
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
Towards annotation-efficient segmentation via image-to-image translation
Eugene Vorontsov
Pavlo Molchanov
Christopher Beckham
Jan Kautz
Samuel Kadoury
MedIm
15
13
0
02 Apr 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xiaomeng Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
19
377
0
28 Feb 2019
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
316
10,621
0
19 Feb 2017
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