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"

20 / 70 papers shown

Title
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models Erdun Gao Kun Zhang Biwei Huang Clark Glymour CML AI4TS 62 64 0 26 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 90 1,816 0 10 Apr 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 107 126 0 22 Mar 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 62 229 0 05 Mar 2019
Progressive Image Deraining Networks: A Better and Simpler Baseline Dongwei Ren W. Zuo Q. Hu Peng Fei Zhu Deyu Meng 124 788 0 26 Jan 2019
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Alina Kuznetsova H. Rom N. Alldrin J. Uijlings Ivan Krasin ... S. Popov Matteo Malloci Alexander Kolesnikov Tom Duerig V. Ferrari ObjD VLM 115 1,348 0 02 Nov 2018
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation Nabila Abraham N. Khan SSeg MedIm 68 703 0 18 Oct 2018
Transfer Learning for Estimating Causal Effects using Neural Networks Sören R. Künzel Bradly C. Stadie N. Vemuri V. Ramakrishnan Jasjeet Sekhon Pieter Abbeel CML 49 32 0 23 Aug 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,582 0 17 Jul 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou Cheng Ouyang Cheng Chen Hao Chen Pheng-Ann Heng MedIm 62 297 0 29 Apr 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 108 237 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 722 132,199 0 12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 354 11,139 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,353 0 02 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models Bryan A. Plummer Liwei Wang Christopher M. Cervantes Juan C. Caicedo Julia Hockenmaier Svetlana Lazebnik 202 2,071 0 19 May 2015
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 211 5,497 0 03 May 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 140 5,590 0 07 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,777 0 01 May 2014
A Probabilistic Calculus of Actions Judea Pearl 57 124 0 27 Feb 2013