Adversarial Counterfactual Augmentation: Application in Alzheimer's
Disease Classification

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification

15 March 2022

Sotirios A. Tsaftaris

Papers citing "Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification"

19 / 19 papers shown

Title
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 75 2 0 16 Sep 2024
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 61 28 0 21 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chen Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 68 40 0 07 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 82 553 0 19 Jul 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 32 18 0 30 Mar 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li Kaixiong Gong Chi Harold Liu Yulin Wang Feng Qiao Xinjing Cheng 43 149 0 23 Mar 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 62 113 0 23 Nov 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 45 65 0 17 Sep 2020
Synthetic Sample Selection via Reinforcement Learning Jiarong Ye Yuan Xue L. R. Long Sameer Kiran Antani Z. Xue K. Cheng Xiaolei Huang MedIm 26 24 0 26 Aug 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 60 119 0 15 Aug 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 116 454 0 09 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 70 157 0 21 Jul 2020
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks Pourya Shamsolmoali Masoumeh Zareapoor Linlin Shen A. Sadka Jie Yang GAN MedIm 42 65 0 05 Apr 2020
Learning to synthesise the ageing brain without longitudinal data Tian Xia A. Chartsias Chengjia Wang Sotirios A. Tsaftaris OOD MedIm 37 53 0 04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 67 1,229 0 20 Nov 2019
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks Hoo-Chang Shin Neil A. Tenenholtz Jameson K. Rogers C. Schwarz M. Senjem J. Gunter Katherine P. Andriole Mark H. Michalski MedIm 87 538 0 26 Jul 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 122 1,069 0 12 Nov 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 300 7,410 0 02 Dec 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 75 656 0 18 Nov 2016