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DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

22 June 2015
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
    SSeg
    MedIm
ArXivPDFHTML

Papers citing "DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation"

50 / 89 papers shown
Title
Mutual Evidential Deep Learning for Medical Image Segmentation
Mutual Evidential Deep Learning for Medical Image Segmentation
Yuanpeng He
Yali Bi
Lijian Li
Chi-Man Pun
Wenpin Jiao
Zhi Jin
FedML
24
0
0
18 May 2025
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning
Pengchen Zhang
Alan J.X. Guo
Sipin Luo
Zhe Han
Lin Guo
34
0
0
16 May 2025
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Jun Li
Hongzhang Zhu
Tao Chen
Xiaohua Qian
45
4
0
12 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
220
0
0
04 May 2025
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li
Yujie Zhang
Haibo Shi
Minhong Li
Qiwei Li
Xiaohua Qian
MedIm
53
0
0
03 May 2025
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation
Lianyuan Yu
Xiuzhen Guo
Ji Shi
Hongxiao Wang
Hongwei Li
66
0
0
12 Mar 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
56
8
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
68
0
0
08 Jan 2025
SDCL: Students Discrepancy-Informed Correction Learning for
  Semi-supervised Medical Image Segmentation
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
Bentao Song
Qingfeng Wang
58
3
0
25 Sep 2024
Universal and Extensible Language-Vision Models for Organ Segmentation
  and Tumor Detection from Abdominal Computed Tomography
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
Jie Liu
Yixiao Zhang
Kang Wang
Mehmet Can Yavuz
Xiaoxi Chen
...
Haoliang Li
Yang Yang
Alan Yuille
Yucheng Tang
Zongwei Zhou
MedIm
VLM
56
17
0
28 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
48
0
0
25 May 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
49
11
0
07 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
47
38
0
22 Nov 2023
Leveraging Unlabeled Data for 3D Medical Image Segmentation through
  Self-Supervised Contrastive Learning
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
55
1
0
21 Nov 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
56
3
0
20 Nov 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
41
4
0
26 Sep 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint
  Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Hong Wang
Minghao Zhou
Dong Wei
Yuexiang Li
Yefeng Zheng
27
6
0
25 Jun 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
46
197
0
02 Jan 2023
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained
  Deep Neural Networks
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Samra Irshad
D. Gomes
S. T. Kim
24
13
0
09 Oct 2022
High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViT
OOD
MedIm
37
36
0
23 Jul 2022
COBRA: Cpu-Only aBdominal oRgan segmentAtion
COBRA: Cpu-Only aBdominal oRgan segmentAtion
E. Henderson
Dónal M. McSweeney
A. Green
21
2
0
21 Jul 2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Zheyu Zhang
Ulas Bagci
ViT
MedIm
38
12
0
01 Jun 2022
Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Pengfei Guo
Dong Yang
Ali Hatamizadeh
An Xu
Ziyue Xu
...
F. Patella
Elvira Stellato
G. Carrafiello
Vishal M. Patel
H. Roth
OOD
FedML
30
32
0
12 Mar 2022
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
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
32
43
0
23 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Kwang-Ting Cheng
39
13
0
22 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
30
30
0
31 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical
  Image Segmentation
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
Yinghuan Shi
Jian Zhang
T. Ling
Jiwen Lu
Yefeng Zheng
Qian Yu
Lei Qi
Yang Gao
UQCV
28
145
0
17 Oct 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
29
6
0
07 Sep 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Chen Shen
Pochuan Wang
H. Roth
Dong Yang
Daguang Xu
...
C. Fuh
Po-Ting Chen
Kao-Lang Liu
W. Liao
K. Mori
FedML
16
41
0
19 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
64
83
0
19 Aug 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
32
145
0
09 Jul 2021
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A
  State-of-the-Art Review and Future Perspectives
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives
Yinzhe Wu
Zeyu Tang
Binghuan Li
D. Firmin
Guang Yang
32
40
0
28 Jun 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
51
50
0
24 Jun 2021
Adversarial Attack Driven Data Augmentation for Accurate And Robust
  Medical Image Segmentation
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Mst. Tasnim Pervin
Li Tao
A. Huq
Zuoxiang He
Li Huo
AAML
OOD
MedIm
33
9
0
25 May 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional
  Medical Image Segmentation
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
49
46
0
20 Apr 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
44
396
0
08 Feb 2021
Contrastive Learning of Relative Position Regression for One-Shot Object
  Localization in 3D Medical Images
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
Wenhui Lei
Wei Xu
Ran Gu
Haoyuan Fu
Shaoting Zhang
Guotai Wang
62
27
0
13 Dec 2020
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging
  Studies
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Jinzheng Cai
Youbao Tang
K. Yan
Adam P. Harrison
Jing Xiao
Gigin Lin
Le Lu
MedIm
41
29
0
09 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
SSeg
MedIm
24
88
0
28 Nov 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
38
23
0
29 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
SSeg
OOD
31
328
0
28 Oct 2020
Going to Extremes: Weakly Supervised Medical Image Segmentation
Going to Extremes: Weakly Supervised Medical Image Segmentation
H. Roth
Ke Wang
Ziyue Xu
Xiaosong Wang
Daguang Xu
21
61
0
25 Sep 2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo
Jieneng Chen
Tao Song
Yinan Chen
Guotai Wang
Shaoting Zhang
24
524
0
09 Sep 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise
  Transformation for 3D Medical Image Segmentation
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Xing Tao
Yuexiang Li
Wenhui Zhou
Kai Ma
Yefeng Zheng
24
67
0
17 Jul 2020
A Weakly Supervised Region-Based Active Learning Method for COVID-19
  Segmentation in CT Images
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
I. Laradji
Pau Rodríguez López
Frederic Branchaud-Charron
Keegan Lensink
Parmida Atighehchian
William Parker
David Vazquez
Derek Nowrouzezahrai
40
19
0
07 Jul 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation
Uncertainty Evaluation Metric for Brain Tumour Segmentation
Raghav Mehta
Angelos Filos
Y. Gal
Tal Arbel
UQCV
27
16
0
28 May 2020
A review: Deep learning for medical image segmentation using
  multi-modality fusion
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou
S. Ruan
S. Canu
29
505
0
22 Apr 2020
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via
  Alignment Ensemble
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Yingda Xia
Qihang Yu
Wei Shen
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
27
2
0
18 Mar 2020
Multi-level Context Gating of Embedded Collective Knowledge for Medical
  Image Segmentation
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi
Reza Azad
M. Fathy
Sergio Escalera
SSeg
22
60
0
10 Mar 2020
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