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Discretely-constrained deep network for weakly supervised segmentation

Discretely-constrained deep network for weakly supervised segmentation

Neural Networks (NN), 2019
15 August 2019
Jizong Peng
H. Kervadec
Jose Dolz
Ismail Ben Ayed
M. Pedersoli
Christian Desrosiers
ArXiv (abs)PDFHTML

Papers citing "Discretely-constrained deep network for weakly supervised segmentation"

17 / 17 papers shown
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A
  Review
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Rui Jin
Derun Li
Dehui Xiang
Lei Zhang
Hailing Zhou
Fei Shi
Weifang Zhu
Jing Cai
Tao Peng
Xinjian Chen
262
3
0
09 Jul 2024
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised
  Semantic Segmentation
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic SegmentationPattern Recognition (Pattern Recogn.), 2022
Lu Yu
Wei Xiang
Juan Fang
Yi-Ping Phoebe Chen
Lianhua Chi
ViT
243
32
0
12 Jul 2022
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised
  Semantic Segmentation with Multi-scale Inference
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu
Ersi Zhang
Lulu Xu
Chufan Xiao
Xiao-Yu Zhong
...
Ming Xu
Yongbing Zhang
Dongmei Yu
C. Yan
Peiwu Qin
220
24
0
06 May 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
261
30
0
03 Mar 2022
Segmentation with mixed supervision: Confidence maximization helps
  knowledge distillation
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
Bingyuan Liu
Christian Desrosiers
Ismail Ben Ayed
Jose Dolz
342
23
0
21 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentationBritish Machine Vision Conference (BMVC), 2021
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
220
5
0
01 Sep 2021
Context-aware virtual adversarial training for anatomically-plausible
  segmentation
Context-aware virtual adversarial training for anatomically-plausible segmentation
Ping Wang
Jizong Peng
M. Pedersoli
Yuanfeng Zhou
Caiming Zhang
Christian Desrosiers
189
5
0
12 Jul 2021
Weakly Supervised Volumetric Segmentation via Self-taught Shape
  Denoising Model
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021
Qian He
Shuailin Li
Xuming He
494
3
0
27 Apr 2021
Weakly supervised segmentation with cross-modality equivariant
  constraints
Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel
Jose Dolz
SSL
248
59
0
06 Apr 2021
Weakly Supervised Thoracic Disease Localization via Disease Masks
Weakly Supervised Thoracic Disease Localization via Disease MasksNeurocomputing (Neurocomputing), 2021
Hyun-woo Kim
Hong G Jung
Seong-Whan Lee
135
11
0
25 Jan 2021
Bladder segmentation based on deep learning approaches: current
  limitations and lessons
Bladder segmentation based on deep learning approaches: current limitations and lessons
M. Bandyk
D. Gopireddy
C. Lall
K. Balaji
Jose Dolz
170
0
0
16 Jan 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become mastersInformation Processing in Medical Imaging (IPMI), 2020
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
274
28
0
15 Dec 2020
Weakly- and Semi-Supervised Probabilistic Segmentation and
  Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better
  AI Understanding of Tissue Beneath Needles
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath NeedlesBME Frontiers (BMEF), 2020
A. Hung
Edward Chen
J. Galeotti
190
2
0
24 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A SurveyComputer Vision and Image Understanding (CVIU), 2020
Rosana El Jurdia
Caroline Petitjean
P. Honeine
Veronika Cheplygina
F. Abdallah
SSegMedIm
279
99
0
16 Nov 2020
Domain aware medical image classifier interpretation by counterfactual
  impact analysis
Domain aware medical image classifier interpretation by counterfactual impact analysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Dimitrios Lenis
David Major
M. Wimmer
Astrid Berg
Gert Sluiter
Katja Bühler
OODMedIm
183
31
0
13 Jul 2020
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Ziyang Wang
286
38
0
18 Feb 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A ReviewArtificial Intelligence Review (AIR), 2019
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSegVLM
605
789
0
16 Oct 2019
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