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Constrained-CNN losses for weakly supervised segmentation

Constrained-CNN losses for weakly supervised segmentation

12 May 2018
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
ArXivPDFHTML

Papers citing "Constrained-CNN losses for weakly supervised segmentation"

36 / 36 papers shown
Title
Tackling Ambiguity from Perspective of Uncertainty Inference and
  Affinity Diversification for Weakly Supervised Semantic Segmentation
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation
Zhiwei Yang
Yucong Meng
Kexue Fu
Shuo Wang
Zhijian Song
34
4
0
12 Apr 2024
CQnet: convex-geometric interpretation and constraining neural-network
  trajectories
CQnet: convex-geometric interpretation and constraining neural-network trajectories
B. Peters
24
0
0
09 Feb 2023
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for
  Medical Semantic Segmentation
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation
Qing En
Yuhong Guo
13
4
0
17 Dec 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
15
5
0
01 Aug 2022
Learning to segment prostate cancer by aggressiveness from scribbles in
  bi-parametric MRI
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI
Audrey Duran
Gaspard Dussert
Carole Lartizien
8
3
0
01 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
11
1
0
18 Jun 2022
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via
  Scribble Annotations
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
Qiuhui Chen
Yi Hong
35
24
0
13 May 2022
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image
  Registration with Matrix Exponential
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential
Soumyadeep Pal
Matthew Tennant
Nilanjan Ray
MedIm
19
2
0
01 Feb 2022
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
13
5
0
01 Sep 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
23
8
0
26 Aug 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
21
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
126
65
0
06 Aug 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
18
40
0
28 Jun 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
6
25
0
15 Dec 2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions
  Segmentation
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong
Yang Cong
Gan Sun
Yunsheng Yang
Xiaowei Xu
Zhengming Ding
MedIm
12
36
0
08 Dec 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Rosana El Jurdia
Caroline Petitjean
P. Honeine
V. Cheplygina
F. Abdallah
SSeg
MedIm
25
79
0
16 Nov 2020
LCollision: Fast Generation of Collision-Free Human Poses using Learned
  Non-Penetration Constraints
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
Qingyang Tan
Zherong Pan
Dinesh Manocha
3DH
11
10
0
06 Nov 2020
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid
  Loss: Application to Quality Control and Inspection
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao
A. Ortiz
F. Bonnín-Pascual
9
0
0
26 Oct 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
38
623
0
02 Aug 2020
Point-to-set distance functions for weakly supervised segmentation
Point-to-set distance functions for weakly supervised segmentation
B. Peters
6
1
0
27 Jul 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography
  Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Guotai Wang
Tao Song
Q. Dong
Mei Cui
Ning Huang
Shaoting Zhang
DiffM
MedIm
9
73
0
07 Jul 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
13
84
0
07 May 2020
Bounding boxes for weakly supervised segmentation: Global constraints
  get close to full supervision
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
H. Kervadec
Jose Dolz
Shanshan Wang
Eric Granger
Ismail Ben Ayed
11
82
0
14 Apr 2020
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
6
168
0
13 Feb 2020
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
18
97
0
24 Dec 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
673
0
09 Nov 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth C. Fong
Mandela Patrick
Andrea Vedaldi
AAML
12
411
0
18 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
31
666
0
16 Oct 2019
Weakly supervised segmentation from extreme points
Weakly supervised segmentation from extreme points
H. Roth
Ling Zhang
Dong Yang
Fausto Milletari
Ziyue Xu
Xiaosong Wang
Daguang Xu
26
21
0
02 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
23
70
0
08 Sep 2019
Constrained domain adaptation for Image segmentation
Constrained domain adaptation for Image segmentation
M. Bateson
Jose Dolz
H. Kervadec
H. Lombaert
Ismail Ben Ayed
GAN
10
25
0
08 Aug 2019
Mixed-Supervised Dual-Network for Medical Image Segmentation
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang
Ming Li
N. Ben-Shlomo
C. Corrales
Yu Cheng
Tao Zhang
J. Jayender
11
28
0
24 Jul 2019
Mask Based Unsupervised Content Transfer
Mask Based Unsupervised Content Transfer
Ron Mokady
Sagie Benaim
Lior Wolf
Amit H. Bermano
11
14
0
15 Jun 2019
Deep Co-Training for Semi-Supervised Image Segmentation
Deep Co-Training for Semi-Supervised Image Segmentation
Jizong Peng
Guillermo Estrada
M. Pedersoli
Christian Desrosiers
21
178
0
27 Mar 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
278
10,608
0
19 Feb 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
216
2,055
0
07 Jun 2016
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