A Survey on Causal Representation Learning and Future Work for Medical Image Analysis

28 October 2022

Papers citing "A Survey on Causal Representation Learning and Future Work for Medical Image Analysis"

50 / 70 papers shown

Title
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement Haoxuan Che Haibo Jin Haoxing Chen OOD 74 23 0 09 Jul 2022
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Ziteng Cui Kunchang Li Lin Gu Sheng Su Peng Gao Zhengkai Jiang Yu Qiao Tatsuya Harada ViT 181 144 0 30 May 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 68 40 0 26 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation Mingxuan Gu Sulaiman Vesal Ronak Kosti Andreas Maier OOD 73 11 0 28 Jan 2022
Deconfounded Visual Grounding Jianqiang Huang Yu Qin Jiaxin Qi Qianru Sun Hanwang Zhang CML ObjD 59 32 0 31 Dec 2021
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining Shen Zheng Chan Lu Yuxiong Wu Gaurav Gupta 48 31 0 17 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 73 69 0 28 Oct 2021
Kernelized Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 53 35 0 24 Oct 2021
Unaligned Image-to-Image Translation by Learning to Reweight Shaoan Xie Biwei Huang Yanwu Xu Kun Zhang EgoV 68 22 0 24 Sep 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 71 75 0 07 Sep 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 94 113 0 19 Aug 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 83 68 0 06 Jul 2021
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation Fuping Wu Xiahai Zhuang OOD DRL 96 74 0 16 Jun 2021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs Lei Li V. Zimmer Julia A. Schnabel Xiahai Zhuang 42 23 0 16 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 76 113 0 11 Jun 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 136 2,903 0 12 May 2021
Causal Inference in medicine and in health policy, a summary Wenhao Zhang Ramin Ramezani A. Naeim CML OOD 51 6 0 10 May 2021
Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 53 145 0 09 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 455 21,439 0 25 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 166 439 0 10 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 244 176 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 214 197 0 01 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 261 128 0 04 Jan 2021
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 79 692 0 28 Oct 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 664 41,103 0 22 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 80 312 0 12 Oct 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs Feng Xie Ruichu Cai Erdun Gao Clark Glymour Zijian Li Kun Zhang CML AI4CE 29 10 0 10 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 91 230 0 28 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 101 446 0 28 Sep 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang Hanwang Zhang Jinhui Tang Xiansheng Hua Qianru Sun CML ISeg 103 450 0 26 Sep 2020
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information Lei Li V. Zimmer Wangbin Ding Fuping Wu Liqin Huang Julia A. Schnabel Xiahai Zhuang OOD MedIm 39 22 0 27 Aug 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 56 205 0 06 Jul 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 393 1,979 0 11 Apr 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection Xudong Wang Shizhong Han Yunqiang Chen Dashan Gao Nuno Vasconcelos 3DPC 66 82 0 04 Apr 2020
Multi-Scale Progressive Fusion Network for Single Image Deraining Kui Jiang Zhongyuan Wang Peng Yi Chong Chen Baojin Huang Yimin Luo Jiayi Ma Junjun Jiang 76 593 0 24 Mar 2020
Deconfounded Image Captioning: A Causal Retrospect Xu Yang Hanwang Zhang Jianfei Cai CML 45 126 0 09 Mar 2020
Visual Commonsense R-CNN Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 57 250 0 27 Feb 2020
Unbiased Scene Graph Generation from Biased Training Kaihua Tang Yulei Niu Jianqiang Huang Jiaxin Shi Hanwang Zhang CML 81 697 0 27 Feb 2020
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models Adarsh Subbaswamy Suchi Saria OOD 61 14 0 20 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 437 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 372 18,778 0 13 Feb 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 102 65 0 09 Feb 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Cheng Chen Qi Dou Hao Chen J. Qin Pheng Ann Heng 111 315 0 06 Feb 2020
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 95 509 0 05 Feb 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 43 344 0 17 Dec 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 103 1,371 0 08 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 192 2,241 0 05 Jul 2019
Towards Non-I.I.D. Image Classification: A Dataset and Baselines Yue He Zheyan Shen Peng Cui 28 7 0 07 Jun 2019
Multi-scale self-guided attention for medical image segmentation Ashish Sinha Jose Dolz SSeg 69 417 0 07 Jun 2019