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The Liver Tumor Segmentation Benchmark (LiTS)
v1v2 (latest)

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
Xuelong 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 Menze
ArXiv (abs)PDFHTML

Papers citing "The Liver Tumor Segmentation Benchmark (LiTS)"

21 / 371 papers shown
Title
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen
Yun Yvonna Li
Lina Yao
Ehsan Adeli
Yu Zhang
GANOODMedIm
84
17
0
12 Jan 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
135
23
0
31 Dec 2020
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in
  Radiological Images
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
K. Yan
Jinzheng Cai
D. Jin
S. Miao
Dazhou Guo
Adam P. Harrison
Youbao Tang
Jing Xiao
Jingjing Lu
Le Lu
MedIm
103
86
0
04 Dec 2020
DoDNet: Learning to segment multi-organ and tumors from multiple
  partially labeled datasets
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang
Yutong Xie
Yong-quan Xia
Chunhua Shen
134
158
0
20 Nov 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for
  Medical Image Analysis
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
118
305
0
28 Oct 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
SSegOOD
121
346
0
28 Oct 2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of
  Medical Volumetric Data
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Yinhao Li
Yutaro Iwamoto
Lanfen Lin
R. Xu
Yenwei Chen
SupR
61
39
0
16 Oct 2020
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang
Shixiang Feng
Yuhang Zhou
Ya Zhang
Yanfeng Wang
68
17
0
13 Oct 2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image
  and Volumetric Segmentation
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
Ilker Hacihaliloglu
Vishal M. Patel
SSeg
88
169
0
04 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
115
579
0
28 Sep 2020
Generator Versus Segmentor: Pseudo-healthy Synthesis
Generator Versus Segmentor: Pseudo-healthy Synthesis
Yunlong Zhang
Li Chenxin
Liyan Sun
Xin Lin
Yihong Zhuang
Yue Huang
Ding Xinghao
Xiaoqing Liu
Yizhou Yu
MedIm
45
22
0
12 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
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
140
87
0
05 Sep 2020
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in
  CT Exams
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams
Dario Augusto Borges Oliveira
MedIm
43
4
0
11 Aug 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs
  with Hybrid Parallelism
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
3DVAI4CE
71
37
0
25 Jul 2020
MeDaS: An open-source platform as service to help break the walls
  between medicine and informatics
MeDaS: An open-source platform as service to help break the walls between medicine and informatics
Liang Zhang
Johann Li
Ping Li
Xiaoyuan Lu
Peiyi Shen
Guangming Zhu
Syed Afaq Ali Shah
Bennamoun
Kun Qian
Björn W. Schuller
MedIm
59
6
0
12 Jul 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
75
34
0
09 Apr 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
139
632
0
17 Jan 2020
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
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
...
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
67
493
0
02 Dec 2019
KLDivNet: An unsupervised neural network for multi-modality image
  registration
KLDivNet: An unsupervised neural network for multi-modality image registration
Yechong Huang
Tao Song
Jiahang Xu
Yinan Chen
Xiahai Zhuang
MedIm
8
1
0
23 Aug 2019
Towards annotation-efficient segmentation via image-to-image translation
Towards annotation-efficient segmentation via image-to-image translation
Eugene Vorontsov
Pavlo Molchanov
Christopher Beckham
Jan Kautz
Samuel Kadoury
MedIm
66
15
0
02 Apr 2019
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
92
390
0
28 Feb 2019
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