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"

46 / 46 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 67 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 45 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 40 1 0 07 Aug 2024
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 54 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 22 0 0 14 Jun 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 62 5 0 13 Mar 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 19 2 0 20 Dec 2023
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data Yao Su Zhentian Qian Lei Ma Lifang He Xiangnan Kong 19 2 0 27 Jul 2023
Sparse annotation strategies for segmentation of short axis cardiac MRI J. Stein Maxime Di Folco J. Schnabel 30 1 0 24 Jul 2023
AugDMC: Data Augmentation Guided Deep Multiple Clustering Jiawei Yao Enbei Liu Maham Rashid Juhua Hu 27 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 15 10 0 13 Jun 2023
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 Tareque Rahman Ornob G. Roy Enamul Hassan 32 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 29 6 0 07 Feb 2023
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation Chen Liu Matthew Amodio Liangbo L. Shen Feng Gao A. Avesta S. Aneja Jay C. Wang L. V. Priore Smita Krishnaswamy OOD MedIm 19 13 0 23 Sep 2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification Furkan Pala I. Rekik 24 2 0 13 Sep 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 12 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 50 342 0 13 May 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 21 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 19 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 H. Veeraraghavan 12 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 27 8 0 21 Jan 2022
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 179 101 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 27 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 20 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 16 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 27 6 0 06 Oct 2021
Image Shape Manipulation from a Single Augmented Training Sample Yael Vinker Eliahu Horwitz Nir Zabari Yedid Hoshen GAN 28 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 39 91 0 08 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 56 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 29 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 16 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 18 569 0 27 May 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 17 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 60 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 17 29 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 28 27 0 03 Dec 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 19 55 0 05 Oct 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 24 407 0 11 Jun 2020
Boundary-aware Context Neural Network for Medical Image Segmentation Ruxin Wang Shuyuan Chen Chaojie Ji Jianping Fan Ye Li 11 138 0 03 May 2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast Benjamin Billot Eleanor D. Robinson Adrian V. Dalca Juan Eugenio Iglesias 13 35 0 21 Apr 2020
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 53 674 0 09 Nov 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 16 750 0 27 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 16 7 0 19 Aug 2019
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation Adrian V. Dalca Evan M. Yu Polina Golland Bruce Fischl M. Sabuncu Juan Eugenio Iglesias OOD 15 65 0 25 Apr 2019