Learning Disentangled Representations in the Imaging Domain

26 August 2021

Sotirios A. Tsaftaris

OOD

DRL

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Papers citing "Learning Disentangled Representations in the Imaging Domain"

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Title
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging Sifan Song Siyeop Yoon Pengfei Jin Sekeun Kim Matthew Tivnan ... Zhiliang Lyu Dufan Wu Ning Guo Xiang Li Quanzheng Li OOD ViT 64 0 0 08 May 2025
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 41 0 0 20 Apr 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 69 1 0 03 Feb 2025
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 48 0 0 27 May 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 35 4 0 27 Apr 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling Hu Wang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro 16 78 0 26 Jul 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 22 8 0 20 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 20 4 0 26 Sep 2022
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information Xiao Liu Spyridon Thermos Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris 39 1 0 06 Aug 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 108 0 23 May 2022
Domain Adaptation for Underwater Image Enhancement via Content and Style Separation Yu-Wei Chen S. Pei 19 33 0 17 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 207 0 17 Feb 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 31 60 0 19 Jan 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 86 72 0 06 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 175 2,577 0 28 Mar 2008