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Pseudo-healthy synthesis with pathology disentanglement and adversarial
  learning
v1v2v3 (latest)

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

20 April 2020
Tian Xia
A. Chartsias
Sotirios A. Tsaftaris
    MedIm
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "Pseudo-healthy synthesis with pathology disentanglement and adversarial learning"

22 / 22 papers shown
CF-Seg: Counterfactuals meet Segmentation
CF-Seg: Counterfactuals meet SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Raghav Mehta
Fabio De Sousa Ribeiro
Tian Xia
Mélanie Roschewitz
Ainkaran Santhirasekaram
Dominic C. Marshall
Ben Glocker
226
7
0
19 Jun 2025
Causal Disentanglement for Robust Long-tail Medical Image Generation
Causal Disentanglement for Robust Long-tail Medical Image Generation
Weizhi Nie
Zichun Zhang
Weijie Wang
Bruno Lepri
Anan Liu
Nicu Seb
DiffMMedImOODCML
490
1
0
20 Apr 2025
Synthetic Data in Radiological Imaging: Current State and Future Outlook
Synthetic Data in Radiological Imaging: Current State and Future Outlook
E. Sizikova
A. Badal
Jana G. Delfino
Miguel Lago
Brandon Nelson
Niloufar Saharkhiz
B. Sahiner
Ghada Zamzmi
Aldo Badano
MedIm
404
27
0
08 May 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection
  with deep generative models: Application to brain FDG PET
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
Ravi Hassanaly
Camille Brianceau
Maelys Solal
O. Colliot
Ninon Burgos
MedIm
251
17
0
29 Jan 2024
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image
  Segmentation
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation
Berke Doga Basaran
Weitong Zhang
Mengyun Qiao
Bernhard Kainz
Paul M. Matthews
Wenjia Bai
MedIm
200
14
0
17 Aug 2023
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker
  Activation Map
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation MapIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
P. Zang
T. Hormel
Jie Wang
Yukun Guo
Steven T. Bailey
C. Flaxel
David Huang
T. Hwang
Yali Jia
MedIm
291
11
0
13 Dec 2022
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for
  Multiple Sclerosis Brain Images
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images
Berke Doga Basaran
Mengyun Qiao
Paul M. Matthews
Wenjia Bai
MedIm
338
17
0
03 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion
  Localization
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
Pedro Sanchez
Antanas Kascenas
Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedImDiffM
438
84
0
25 Jul 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
Ling Yang
Yizhou Yu
MedIm
177
8
0
29 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann
Lynton Ardizzone
Jan Egger
Jens Kleesiek
DRLMedIm
187
14
0
21 Mar 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's
  Disease Classification
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease ClassificationFrontiers in Radiology (Front. Radiol.), 2022
Tian Xia
Pedro Sanchez
C. Qin
Sotirios A. Tsaftaris
OODMedIm
305
15
0
15 Mar 2022
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
860
92
0
26 Aug 2021
Detecting Outliers with Poisson Image Interpolation
Detecting Outliers with Poisson Image Interpolation
Jeremy Tan
Benjamin Hou
Thomas Day
J. Simpson
Daniel Rueckert
Bernhard Kainz
MedIm
172
65
0
06 Jul 2021
Where is the disease? Semi-supervised pseudo-normality synthesis from an
  abnormal image
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image
Yuanqi Du
Quan Quan
Hu Han
S. Kevin Zhou
GANMedIm
190
3
0
24 Jun 2021
Unsupervised Anomaly Detection in MR Images using Multi-Contrast
  Information
Unsupervised Anomaly Detection in MR Images using Multi-Contrast InformationMedical Physics (Lancaster) (Med. Phys.), 2021
Byungjai Kim
Kinam Kwon
Changheun Oh
Hyunkyung Park
173
3
0
02 May 2021
Decomposing Normal and Abnormal Features of Medical Images into Discrete
  Latent Codes for Content-Based Image Retrieval
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
Kazuma Kobayashi
Ryuichiro Hataya
Y. Kurose
M. Miyake
Masamichi Takahashi
Akiko Nakagawa
Tatsuya Harada
Ryuji Hamamoto
MedIm
308
22
0
23 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis
A Structural Causal Model for MR Images of Multiple SclerosisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jacob C. Reinhold
A. Carass
Jerry L. Prince
CMLMedIm
383
32
0
04 Mar 2021
Adversarial cycle-consistent synthesis of cerebral microbleeds for data
  augmentation
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation
Khrystyna Faryna
K. Koschmieder
M. M. Paul
Thomas L. A. van den Heuvel
A. V. D. Eerden
R. Manniesing
Bram van Ginneken
MedIm
200
3
0
16 Jan 2021
Decomposing Normal and Abnormal Features of Medical Images for
  Content-based Image Retrieval
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi
Ryuichiro Hataya
Y. Kurose
Tatsuya Harada
Ryuji Hamamoto
MedIm
214
15
0
12 Nov 2020
Generator Versus Segmentor: Pseudo-healthy Synthesis
Generator Versus Segmentor: Pseudo-healthy SynthesisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Yunlong Zhang
Li Chenxin
Liyan Sun
Xin Lin
Yihong Zhuang
Yue Huang
Ding Xinghao
Xiaoqing Liu
Yizhou Yu
MedIm
322
30
0
12 Sep 2020
Semi-supervised Pathology Segmentation with Disentangled Representations
Semi-supervised Pathology Segmentation with Disentangled Representations
Haochuan Jiang
A. Chartsias
Xinheng Zhang
G. Papanastasiou
S. Semple
M. Dweck
David Semple
R. Dharmakumar
Sotirios A. Tsaftaris
247
6
0
05 Sep 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems:
  Unexplored Factors
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
...
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
AAMLMedIm
178
156
0
11 Jun 2020
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