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Prior-aware Neural Network for Partially-Supervised Multi-Organ
  Segmentation

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

12 April 2019
Yuyin Zhou
Zhe Li
S. Bai
Chong Wang
Xinlei Chen
Mei Han
Elliot K. Fishman
Alan Yuille
ArXivPDFHTML

Papers citing "Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation"

42 / 42 papers shown
Title
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu
Q. Xiao
Shiwei Liu
Lu Yin
Mykola Pechenizkiy
Decebal Constantin Mocanu
M. V. Keulen
Elena Mocanu
MedIm
65
4
0
20 Feb 2025
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
44
16
0
28 May 2024
AttenScribble: Attentive Similarity Learning for Scribble-Supervised
  Medical Image Segmentation
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation
Mu Tian
Qin Yang
Yi Gao
MedIm
34
0
0
11 Dec 2023
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
24
0
0
17 Nov 2023
Leveraging point annotations in segmentation learning with boundary loss
Leveraging point annotations in segmentation learning with boundary loss
Eva Breznik
H. Kervadec
F. Malmberg
J. Kullberg
Haakan Ahlstrom
Marleen de Bruijne
Robin Strand
37
1
0
06 Nov 2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Jiahua Dong
Guohua Cheng
Yue Zhang
Chengtao Peng
Yu Song
Ruofeng Tong
Lanfen Lin
Yen-Wei Chen
32
0
0
14 Apr 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
42
6
0
07 Feb 2023
CancerUniT: Towards a Single Unified Model for Effective Detection,
  Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection
  of CT Scans
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Jieneng Chen
Yingda Xia
Jiawen Yao
K. Yan
Jianpeng Zhang
...
Xin Chen
Jingren Zhou
Alan Yuille
Zai-De Liu
Ling Zhang
ViT
MedIm
33
14
0
28 Jan 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
41
194
0
02 Jan 2023
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
Unsupervised Model Adaptation for Source-free Segmentation of Medical
  Images
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Serban Stan
Mohammad Rostami
OOD
40
10
0
02 Nov 2022
A Learning-based Framework for Topology-Preserving Segmentation using
  Quasiconformal Mappings
A Learning-based Framework for Topology-Preserving Segmentation using Quasiconformal Mappings
Han Zhang
L. Lui
37
6
0
07 Oct 2022
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep
  Learning-based Segmentation
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation
Xin Yu
Yucheng Tang
Qi Yang
Ho Hin Lee
Riqiang Gao
Shunxing Bao
A. Moore
Luigi Ferrucci
Bennett A. Landman
37
5
0
28 Sep 2022
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
29
152
0
28 Jul 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji
Haotian Bai
Jie-jin Yang
Chongjian Ge
Ye Zhu
...
Zhuguo Li
Lingyan Zhang
Wanling Ma
Xiang Wan
Ping Luo
OOD
25
295
0
16 Jun 2022
Learning Incrementally to Segment Multiple Organs in a CT Image
Learning Incrementally to Segment Multiple Organs in a CT Image
Peng Liu
Xia Wang
Mengsi Fan
Hongli Pan
Minmin Yin
...
Xiaoying Zhao
Li Xiao
Liangjing Ding
Xingwang Wu
S. Kevin Zhou
CLL
20
22
0
04 Mar 2022
Universal Segmentation of 33 Anatomies
Universal Segmentation of 33 Anatomies
Peng Liu
Yang Deng
Ce Wang
Yuan Hui
Qian Li
...
You Hao
Honghu Xiao
Chunpeng Zhao
Xin Wu
S. Kevin Zhou
31
9
0
04 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
18
23
0
03 Mar 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
42
518
0
29 Nov 2021
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
77
231
0
21 Sep 2021
Automatic Landmarks Correspondence Detection in Medical Images with an
  Application to Deformable Image Registration
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
Monika Grewal
J. Wiersma
H. Westerveld
Peter A. N. Bosman
Tanja Alderliesten
MedIm
20
3
0
06 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
27
5
0
01 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised
  Segmentation Learning
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
31
5
0
26 Aug 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
134
65
0
06 Aug 2021
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
Shixiang Feng
Yuhang Zhou
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
27
11
0
05 Aug 2021
Label-set Loss Functions for Partial Supervision: Application to Fetal
  Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Lucas Fidon
Michael Aertsen
Doaa Emam
Nada Mufti
Frédéric Guffens
...
A. David
Andrew Melbourne
Sébastien Ourselin
Jam Deprest
Tom Kamiel Magda Vercauteren
35
23
0
08 Jul 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
95
1,538
0
18 Mar 2021
Benefits of Linear Conditioning with Metadata for Image Segmentation
Benefits of Linear Conditioning with Metadata for Image Segmentation
A. Lemay
C. Gros
Olivier Vincent
Yaou Liu
Joseph Paul Cohen
Julien Cohen-Adad
AI4CE
30
6
0
18 Feb 2021
Towards Robust Partially Supervised Multi-Structure Medical Image
  Segmentation on Small-Scale Data
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Min Xu
Irina Voiculescu
Eric Xing
17
18
0
28 Nov 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
26
326
0
28 Oct 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
520
0
09 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
42
84
0
05 Sep 2020
Multi-organ Segmentation via Co-training Weight-averaged Models from
  Few-organ Datasets
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Rui Huang
Yuanjie Zheng
Zhiqiang Hu
Shaoting Zhang
Hongsheng Li
23
50
0
17 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chia-Ju Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
25
205
0
20 Jul 2020
Learning to Segment from Scribbles using Multi-scale Adversarial
  Attention Gates
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
16
5
0
02 Jul 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
27
75
0
06 Jun 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
18
17
0
28 May 2020
Source-Relaxed Domain Adaptation for Image Segmentation
Source-Relaxed Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
33
84
0
07 May 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Asymmetric Non-local Neural Networks for Semantic Segmentation
Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhen Zhu
Mengde Xu
S. Bai
Tengteng Huang
X. Bai
30
602
0
21 Aug 2019
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active
  Bleed after Pelvic Fractures
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Yuyin Zhou
D. Dreizin
Yingwei Li
Zhishuai Zhang
Yan Wang
Alan Yuille
MedIm
21
15
0
23 Jun 2019
A Survey on Deep Learning in Medical Image Analysis
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
340
10,633
0
19 Feb 2017
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