v1v2 (latest)

Robust image representations with counterfactual contrastive learning

16 September 2024

Mélanie Roschewitz

Fabio De Sousa Ribeiro

Papers citing "Robust image representations with counterfactual contrastive learning"

44 / 44 papers shown

Title
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 199 0 0 20 Apr 2025
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning Liam Chalcroft Jenny Crinion Cathy J. Price John Ashburner 456 0 0 21 Jan 2025
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography Shantanu Ghosh Clare B. Poynton Shyam Visweswaran Kayhan Batmanghelich VLM 77 12 0 20 May 2024
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning Théo Moutakanni Piotr Bojanowski G. Chassagnon Céline Hudelot Armand Joulin Yann LeCun Matthew Muckley Maxime Oquab M. Revel Maria Vakalopoulou MedIm AI4CE LM&MA 43 9 0 02 May 2024
Mitigating attribute amplification in counterfactual image generation Tian Xia Mélanie Roschewitz Fabio De Sousa Ribeiro Charles Jones Ben Glocker CML MedIm 73 4 0 14 Mar 2024
Counterfactual contrastive learning: robust representations via causal image synthesis Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD 85 4 0 14 Mar 2024
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 71 17 0 15 Nov 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 70 25 0 03 Aug 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 82 39 0 27 Jun 2023
Generative models improve fairness of medical classifiers under distribution shifts Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 189 90 0 18 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 372 3,489 0 14 Apr 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 69 2 0 10 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 106 29 0 02 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 91 17 0 01 Mar 2023
Null-text Inversion for Editing Real Images using Guided Diffusion Models Ron Mokady Amir Hertz Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 105 537 0 17 Nov 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 78 74 0 21 Oct 2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection Lidia Garrucho Kaisar Kushibar Richard Osuala Oliver Díaz Alessandro Catanese Javier del Riego Maciej Bobowicz Fredrik Strand Laura Igual Karim Lekadir MedIm 60 21 0 20 Sep 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization Pedro Sanchez Antanas Kascenas Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris MedIm DiffM 91 68 0 25 Jul 2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 67 23 0 15 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 87 25 0 01 Jul 2022
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography H. T. Nguyen H. Q. Nguyen H. Pham K. Lam L. Le M. Dao V. Vu 56 104 0 20 Mar 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification Tian Xia Pedro Sanchez C. Qin Sotirios A. Tsaftaris OOD MedIm 80 13 0 15 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Dominik Zietlow Michael Lohaus Guha Balakrishnan Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Chris Russell FaML 55 73 0 09 Mar 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 121 434 0 30 Nov 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics Aiham Taleb Matthias Kirchler Remo Monti C. Lippert SSL MedIm 57 56 0 26 Nov 2021
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network Teppei Matsui Masato Taki Trung Quang Pham J. Chikazoe K. Jimura DiffM AAML 88 10 0 28 Oct 2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification Benoit Dufumier Pietro Gori J. Victor Antoine Grigis M. Wessa ... P. Favre M. Polosan C. Mcdonald C. Piguet Edouard Duchesnay SSL 53 68 0 16 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 99 317 0 08 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 711 6,127 0 29 Apr 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 67 83 0 21 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 112 518 0 13 Jan 2021
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 90 619 0 17 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 147 766 0 02 Oct 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 61 70 0 17 Sep 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 398 6,837 0 13 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 108 242 0 11 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 114 1,335 0 20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 378 18,866 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 73 614 0 22 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 114 2,601 0 21 Jan 2019
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 174 5,042 0 27 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015