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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)"

50 / 371 papers shown
Title
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
137
173
0
28 Jul 2022
Exploring Generalizable Distillation for Efficient Medical Image
  Segmentation
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Xingqun Qi
Zhuo Wu
Min Ren
Muyi Sun
Caifeng Shan
Zhe Sun
96
3
0
26 Jul 2022
COBRA: Cpu-Only aBdominal oRgan segmentAtion
COBRA: Cpu-Only aBdominal oRgan segmentAtion
E. Henderson
Dónal M. McSweeney
A. Green
23
2
0
21 Jul 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
MedIm
71
28
0
19 Jul 2022
Box-supervised Instance Segmentation with Level Set Evolution
Box-supervised Instance Segmentation with Level Set Evolution
Wentong Li
Wenyu Liu
Jianke Zhu
Miaomiao Cui
Xia Hua
Lei Zhang
ISeg
76
61
0
19 Jul 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
92
16
0
11 Jul 2022
Procrustes Analysis with Deformations: A Closed-Form Solution by
  Eigenvalue Decomposition
Procrustes Analysis with Deformations: A Closed-Form Solution by Eigenvalue Decomposition
Fang Bai
Adrien Bartoli
23
6
0
29 Jun 2022
Influence of uncertainty estimation techniques on false-positive
  reduction in liver lesion detection
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
MedIm
96
5
0
22 Jun 2022
Free-form Lesion Synthesis Using a Partial Convolution Generative
  Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Yang Liu
Fei Yang
Yidong Yang
GANMedIm
67
4
0
18 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach
Detecting Adversarial Examples in Batches -- a geometrical approach
Danush Kumar Venkatesh
Peter Steinbach
AAML
58
2
0
17 Jun 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge
  Distillation for Personalized Healthcare
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen
Wang Lu
Xin Qin
Jindong Wang
Xing Xie
FedML
123
65
0
17 Jun 2022
Federated Multi-organ Segmentation with Inconsistent Labels
Federated Multi-organ Segmentation with Inconsistent Labels
Xuanang Xu
H. Deng
J. Gateno
Pingkun Yan
FedML
87
24
0
14 Jun 2022
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric
  Segmentation
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
Wenxuan Wang
Chen Chen
Jing Wang
Sen Zha
Yan Zhang
Jiangyun Li
MedIm
62
10
0
14 Jun 2022
Data Stealing Attack on Medical Images: Is it Safe to Export Networks
  from Data Lakes?
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Huiyu Li
N. Ayache
H. Delingette
MIACV
50
2
0
07 Jun 2022
Bootstrapping Semi-supervised Medical Image Segmentation with
  Anatomical-aware Contrastive Distillation
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation
Chenyu You
Weichen Dai
Yifei Min
Lawrence H. Staib
James S. Duncan
89
65
0
06 Jun 2022
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical
  Imaging
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
Yixiong Chen
Li Liu
Jingxia Li
Hua Jiang
C. Ding
Zongwei Zhou
MedImAI4CE
94
8
0
03 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViTOODMedIm
175
46
0
02 Jun 2022
FedNorm: Modality-Based Normalization in Federated Learning for
  Multi-Modal Liver Segmentation
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedMLMedIm
108
20
0
23 May 2022
Transformer based Generative Adversarial Network for Liver Segmentation
Transformer based Generative Adversarial Network for Liver Segmentation
Ugur Demir
Zheyu Zhang
Bin Wang
M. Antalek
Elif Keles
Debesh Jha
Amir Borhani
Daniela Ladner
Ulas Bagci
ViTMedIm
86
11
0
21 May 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image
  Segmentation
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Ngan T. H. Le
3DPCMedIm
85
13
0
19 May 2022
blob loss: instance imbalance aware loss functions for semantic
  segmentation
blob loss: instance imbalance aware loss functions for semantic segmentation
Florian Kofler
Suprosanna Shit
Ivan Ezhov
Lucas Fidon
Izabela Horvath
...
J. Peeken
Tom Vercauteren
C. Zimmer
Benedikt Wiestler
Bjoern Menze
71
20
0
17 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image
  Segmentation
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
85
52
0
04 May 2022
Quantum-classical convolutional neural networks in radiological image
  classification
Quantum-classical convolutional neural networks in radiological image classification
A. Matic
Maureen Monnet
J. Lorenz
B. Schachtner
Thomas Messerer
110
36
0
26 Apr 2022
Learning Shape Priors by Pairwise Comparison for Robust Semantic
  Segmentation
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation
Cong Xie
Hualuo Liu
Shilei Cao
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
26
1
0
23 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
107
72
0
21 Apr 2022
LifeLonger: A Benchmark for Continual Disease Classification
LifeLonger: A Benchmark for Continual Disease Classification
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
Cees G. M. Snoek
61
31
0
12 Apr 2022
Multi-Sample $ζ$-mixup: Richer, More Realistic Synthetic Samples
  from a $p$-Series Interpolant
Multi-Sample ζζζ-mixup: Richer, More Realistic Synthetic Samples from a ppp-Series Interpolant
Kumar Abhishek
Colin J. Brown
Ghassan Hamarneh
56
2
0
07 Apr 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
Ling Yang
Yizhou Yu
MedIm
40
6
0
29 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann
Lynton Ardizzone
Jan Egger
Jens Kleesiek
DRLMedIm
56
10
0
21 Mar 2022
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning
  and Random Sampling
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling
B. Dao
Thang V. Nguyen
Hieu H. Pham
H. Nguyen
46
18
0
20 Mar 2022
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Tan H. Nguyen
Binh-Son Hua
Ngan Le
3DPCMedIm
102
32
0
16 Mar 2022
A multi-organ point cloud registration algorithm for abdominal CT
  registration
A multi-organ point cloud registration algorithm for abdominal CT registration
Samuel Joutard
Thomas S. Pheiffer
Chloé Audigier
P. Wohlfahrt
Reuben Dorent
Sebastien Piat
Tom Vercauteren
Marc Modat
Tommaso Mansi
3DPC
41
1
0
15 Mar 2022
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust
  Universal Lesion Detection
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection
Manu Sheoran
Meghal Dani
Monika Sharma
Lovekesh Vig
47
5
0
14 Mar 2022
A unified 3D framework for Organs at Risk Localization and Segmentation
  for Radiation Therapy Planning
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning
Fernando Navarro
Guido Sasahara
Suprosanna Shit
Ivan Ezhov
J. Peeken
Stephanie E. Combs
Bjoern Menze
30
5
0
01 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViTMedIm
131
72
0
28 Feb 2022
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Tianyu Ma
Alan Q. Wang
Adrian Dalca
M. Sabuncu
SSL
77
1
0
06 Feb 2022
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of
  Medical Images
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li
Wenxuan Wang
Chen Chen
Tianxiang Zhang
Sen Zha
Jing Wang
Hong Yu
ViTMedIm
124
25
0
30 Jan 2022
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN
  with Transformer Layers
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
Georg Hille
Shubham Agrawal
Pavan Tummala
C. Wybranski
M. Pech
A. Surov
S. Saalfeld
ViTMedIm
43
28
0
26 Jan 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPCMedIm
81
17
0
15 Jan 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform
  based Supervised 3D Pre-training
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
Shu Zhen Zhang
Zihao Li
Hong-Yu Zhou
Jiechao Ma
Yizhou Yu
60
12
0
05 Jan 2022
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey
Wenbo Sun
Haibo Xu
Yi Hong
43
0
0
16 Dec 2021
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image
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Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
Ziwei Luo
Jing Hu
Xin Wang
Shu Hu
Bin Kong
Youbing Yin
Qi Song
Xi Wu
Siwei Lyu
MedIm
49
12
0
14 Dec 2021
Robust End-to-End Focal Liver Lesion Detection using Unregistered
  Multiphase Computed Tomography Images
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Sang-gil Lee
Eunji Kim
J. S. Bae
J. H. Kim
Sungroh Yoon
OOD
66
11
0
02 Dec 2021
Using Deep Image Prior to Assist Variational Selective Segmentation Deep
  Learning Algorithms
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms
Liam Burrows
Ke-long Chen
F. Torella
62
0
0
01 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Wang Lu
Jindong Wang
Yiqiang Chen
Xin Qin
Renjun Xu
Dimitrios Dimitriadis
Tao Qin
FedMLOOD
87
67
0
01 Dec 2021
X-ray Dissectography Enables Stereotography to Improve Diagnostic
  Performance
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
Chuang Niu
Ge Wang
18
0
0
30 Nov 2021
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
49
5
0
26 Nov 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal
  Pulmonary Embolism Detection from CT and EHR
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
Yuyin Zhou
Shih-Cheng Huang
Jason Alan Fries
Alaa Youssef
T. Amrhein
...
Imon Banerjee
D. Rubin
Lei Xing
N. Shah
M. Lungren
86
46
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23 Nov 2021
FedCostWAvg: A new averaging for better Federated Learning
FedCostWAvg: A new averaging for better Federated Learning
Leon Mächler
Ivan Ezhov
Florian Kofler
Suprosanna Shit
Johannes C. Paetzold
T. Loehr
Benedikt Wiestler
Bjoern Menze
FedMLOOD
67
13
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16 Nov 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using
  Transformers in 3D Medical Imaging
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
Dong Yang
Andriy Myronenko
Xiaosong Wang
Ziyue Xu
H. Roth
Daguang Xu
ViTMedIm3DV
62
24
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