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AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

28 October 2020
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
Yichi Zhang
Xingle An
Congcong Wang
Qiyuan Wang
Xin Liu
Shucheng Cao
Qi Zhang
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
    SSeg
    OOD
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Papers citing "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

34 / 34 papers shown
Title
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
Jiong Wu
Yang Xing
Boxiao Yu
Wei Shao
Kuang Gong
MedIm
64
0
0
25 May 2025
Implicit Neural Shape Optimization for 3D High-Contrast Electrical Impedance Tomography
Implicit Neural Shape Optimization for 3D High-Contrast Electrical Impedance Tomography
Junqing Chen
Haibo Liu
142
0
0
22 May 2025
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Linshan Wu
Yuxiang Nie
Sunan He
Jiaxin Zhuang
Hao Chen
...
V. Vardhanabhuti
R. Chan
Yifan Peng
Pranav Rajpurkar
Hao Chen
LM&MA
MedIm
109
0
0
30 Apr 2025
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
Anisa V. Prasad
T. Mathai
P. Mukherjee
Jianfei Liu
Ronald M. Summers
SSeg
59
1
0
09 Apr 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
106
0
0
11 Feb 2025
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
89
9
0
20 Jan 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
RadGPT: Constructing 3D Image-Text Tumor Datasets
P. R. Bassi
Mehmet Can Yavuz
Kang Wang
Xiaoxi Chen
Wenxuan Li
S. Decherchi
Andrea Cavalli
Yang Yang
Alan Yuille
Zongwei Zhou
LM&MA
MedIm
86
1
0
08 Jan 2025
Autoregressive Sequence Modeling for 3D Medical Image Representation
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang
Churan Wang
Fei Gao
Lixian Su
Fandong Zhang
Yizhou Wang
Yizhou Yu
MedIm
66
1
0
13 Sep 2024
CARL: A Framework for Equivariant Image Registration
CARL: A Framework for Equivariant Image Registration
Hastings Greer
Lin Tian
François-Xavier Vialard
Roland Kwitt
R. Estépar
Marc Niethammer
3DPC
MedIm
99
0
0
27 May 2024
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
De-Xing Huang
Xiao-Hu Zhou
Xiaoliang Xie
Shiqi Liu
Zhen-Qiu Feng
Mei-Jiang Gui
Hao Li
Tian-Yu Xiang
MedIm
52
1
0
22 Jan 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
60
37
0
28 Dec 2023
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du
Fan Bai
Tiejun Huang
Bo Zhao
VLM
56
39
0
22 Nov 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
97
13
0
29 Mar 2023
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
51
76
0
20 May 2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified
  Learning and Neural Architecture Search
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
Dazhou Guo
D. Jin
Zhuotun Zhu
T. Ho
Adam P. Harrison
Chun-Hung Chao
Jing Xiao
Alan Yuille
Chien-Yu Lin
Le Lu
32
59
0
17 Apr 2020
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Xiang Wang
Sifei Liu
Huimin Ma
Ming-Hsuan Yang
58
90
0
19 Feb 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
67
613
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
45
479
0
02 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
200
2,375
0
11 Nov 2019
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High
  Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo
Charles Huang
M. Bassenne
Ruoxiu Xiao
Lei Xing
25
279
0
31 Oct 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLL
KELM
27
246
0
18 Sep 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image
  Segmentation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
45
105
0
06 Jun 2019
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
Sergi Caelles
Jordi Pont-Tuset
Federico Perazzi
Alberto Montes
Kevis-Kokitsi Maninis
Luc Van Gool
VOS
55
147
0
02 May 2019
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
61
622
0
09 Apr 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
76
846
0
25 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
77
1,009
0
13 Jan 2019
Weakly Supervised Scene Parsing with Point-based Distance Metric
  Learning
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Rui Qian
Yunchao Wei
Humphrey Shi
Jiachen Li
Jiaying Liu
Thomas Huang
3DV
56
73
0
06 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
109
1,623
0
05 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
64
1,033
0
27 Oct 2018
A multi-scale pyramid of 3D fully convolutional networks for abdominal
  multi-organ segmentation
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
H. Roth
Chen Shen
H. Oda
T. Sugino
M. Oda
Y. Hayashi
K. Misawa
K. Mori
SSeg
38
83
0
06 Jun 2018
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
44
632
0
07 Oct 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
232
4,357
0
29 Jun 2016
Spatial Aggregation of Holistically-Nested Networks for Automated
  Pancreas Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Andrew Sohn
Ronald M. Summers
SSeg
30
148
0
24 Jun 2016
DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
SSeg
MedIm
47
739
0
22 Jun 2015
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