Data augmentation using learned transformations for one-shot medical image segmentation

25 February 2019

Papers citing "Data augmentation using learned transformations for one-shot medical image segmentation"

50 / 70 papers shown

Title
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning Yuting He Boyu Wang Rongjun Ge Yang Chen Guanyu Yang Shuo Li MedIm AAML 70 2 0 07 Feb 2025
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images Chen Liu Danqi Liao Alejandro Parada-Mayorga Alejandro Ribeiro Marcello DiStasio Smita Krishnaswamy 53 4 0 04 Oct 2024
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation Feng Zhou Yanjie Zhou Longjie Wang Yun Peng David E. Carlson Liyun Tu 50 1 0 07 Aug 2024
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 59 11 0 12 Jul 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 33 0 0 14 Jun 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 28 2 0 20 Dec 2023
Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series S. M. Abulnaga Neel Dey Sean I. Young Eileen Pan Katherine I. Hobgood Clinton Jia Wang P. E. Grant Esra Abaci Turk Polina Golland 40 3 0 08 Dec 2023
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data Yao Su Zhentian Qian Lei Ma Lifang He Xiangnan Kong 21 2 0 27 Jul 2023
Sparse annotation strategies for segmentation of short axis cardiac MRI J. Stein Maxime Di Folco Julia A. Schnabel 30 1 0 24 Jul 2023
AugDMC: Data Augmentation Guided Deep Multiple Clustering Jiawei Yao Enbei Liu Maham Rashid Juhua Hu 37 9 0 22 Jun 2023
UOD: Universal One-shot Detection of Anatomical Landmarks Heqin Zhu Quan Quan Qingsong Yao Zaiyi Liu S.Kevin Zhou ViT 23 10 0 13 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 Tareque Rahman Ornob G. Roy Enamul Hassan 35 12 0 17 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 40 6 0 07 Feb 2023
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph Malte Hoffmann Andrew Hoopes Douglas N. Greve Bruce Fischl Adrian Dalca MedIm 49 15 0 26 Jan 2023
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 27 9 0 07 Oct 2022
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation Chen Liu Matthew Amodio Liangbo L. Shen Feng Gao A. Avesta Snegha A Jay C. Wang L. V. Priore Smita Krishnaswamy OOD MedIm 33 13 0 23 Sep 2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification Furkan Pala I. Rekik 38 2 0 13 Sep 2022
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation Xiangyun Zhao Di Zang Sheng Wang Zhenrong Shen Kai Xuan ... Xuehai Wu Zheren Li Qian Wang Zengxin Qi Lichi Zhang MedIm 22 2 0 12 Aug 2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 16 46 0 27 Jul 2022
Wound Segmentation with Dynamic Illumination Correction and Dual-view Semantic Fusion Honghui Liu Changjian Wang Kele Xu Fangzhao Li Ming Feng Yuxing Peng Hongjun He 3DV 25 0 0 12 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 52 344 0 13 May 2022
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation Zhaotao Wu Jia Wei Jiabing Wang Rui Li 22 4 0 21 Mar 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Pingping Dai Licong Dong Ruihan Zhang Haiming Zhu Jie Wu Kehong Yuan MedIm 27 4 0 20 Mar 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 22 0 0 19 Feb 2022
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs Jue Jiang Harini Veeraraghavan 17 18 0 26 Jan 2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation Zhuowei Li Zihao Liu Zhiqiang Hu Qing Xia Ruiqin Xiong Shaoting Zhang Dimitris N. Metaxas Tingting Jiang SSL 35 8 0 21 Jan 2022
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 15 120 0 17 Dec 2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification Yuan Xue Jiarong Ye Qianying Zhou L. R. Long Sameer Kiran Antani Z. Xue Carl Cornwell R. Zaino K. Cheng Xiaolei Huang MedIm 191 102 0 10 Nov 2021
Whole Brain Segmentation with Full Volume Neural Network Yeshu Li Jianwei Cui Yilun Sheng Xiao Liang Jingdong Wang E. Chang Yan Xu 32 11 0 29 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 25 39 0 18 Oct 2021
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T N.L. Medina C. Gros Julien Cohen-Adad V. Callot A. Troter 34 1 0 13 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction Umut Guvercin Mohammed Amine Gharsallaoui I. Rekik 34 6 0 06 Oct 2021
Image Shape Manipulation from a Single Augmented Training Sample Yael Vinker Eliahu Horwitz Nir Zabari Yedid Hoshen GAN 33 20 0 13 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
Unsupervised Local Discrimination for Medical Images Huai Chen Renzhen Wang Xiuying Wang Jieyu Li Qu Fang Hui Li Jianhao Bai Qing Peng Deyu Meng Lisheng Wang SSL 20 7 0 21 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chia-Ju Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 31 63 0 29 Jul 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 30 8 0 15 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
$Brain Image Synthesis with Unsupervised Multivariate Canonical CSC$\ell_4$Net$ Brain Image Synthesis with Unsupervised Multivariate Canonical CSC $\ell_4$ Net Yawen Huang Feng Zheng Danyang Wang Weilin Huang Matthew R. Scott Ling Shao 30 8 0 22 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 Feb 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation Kang Li Shujun Wang Lequan Yu Pheng-Ann Heng 67 28 0 07 Jan 2021
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks Matthew Sinclair A. Schuh K. Hahn K. Petersen Ying Bai James Batten M. Schaap Ben Glocker 25 30 0 18 Dec 2020
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations Joy Hsu Jeffrey Gu Gong-Her Wu Wah Chiu Serena Yeung SSL 36 27 0 03 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 18 47 0 25 Nov 2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective Shao-Cheng Wen Yu-Jen Chen Zihao Liu Wujie Wen Xiaowei Xu Yiyu Shi Tsung-Yi Ho Qianjun Jia Meiping Huang Zhuang Jian MedIm 27 5 0 04 Nov 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM Tristan Sylvain Francis Dutil T. Berthier Lisa Di-Jorio Margaux Luck Devon Hjelm Yoshua Bengio 17 6 0 20 Oct 2020
Test-time Unsupervised Domain Adaptation Thomas Varsavsky Mauricio Orbes-Arteaga Carole H. Sudre M. Graham P. Nachev M. Jorge Cardoso OOD 21 55 0 05 Oct 2020