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"

21 / 71 papers shown

Title
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
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation Kang Li Lequan Yu Shujun Wang Pheng-Ann Heng 36 103 0 04 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 35 544 0 28 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 21 24 0 26 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 25 205 0 20 Jul 2020
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation K. Chaitanya Neerav Karani Christian F. Baumgartner Ertunc Erdil Anton S. Becker O. Donati E. Konukoglu MedIm 25 91 0 09 Jul 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 30 550 0 18 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 30 407 0 11 Jun 2020
Boundary-aware Context Neural Network for Medical Image Segmentation Ruxin Wang Shuyuan Chen Chaojie Ji Jianping Fan Ye Li 27 138 0 03 May 2020
SynthMorph: learning contrast-invariant registration without acquired images Malte Hoffmann Benjamin Billot Douglas N. Greve Juan Eugenio Iglesias Bruce Fischl Adrian Dalca MedIm 26 149 0 21 Apr 2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast Benjamin Billot Eleanor D. Robinson Adrian Dalca Juan Eugenio Iglesias 24 35 0 21 Apr 2020
Semi-supervised few-shot learning for medical image segmentation A. Fayjie Reza Azad M. Pedersoli C. Kauffmann Ismail Ben Ayed Jose Dolz 24 63 0 18 Mar 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation Benjamin Billot Douglas N. Greve Koen van Leemput Bruce Fischl Juan Eugenio Iglesias Adrian Dalca 15 76 0 04 Mar 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 23 340 0 17 Dec 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 675 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 35 751 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 29 7 0 19 Aug 2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning Mauricio Orbes-Arteaga Thomas Varsavsky Carole H. Sudre Zach Eaton-Rosen Lewis J. Haddow ... A. Pai Sébastien Ourselin Marc Modat P. Nachev M. Jorge Cardoso OOD 33 40 0 16 Aug 2019
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation Adrian Dalca Evan M. Yu Polina Golland Bruce Fischl M. Sabuncu Juan Eugenio Iglesias OOD 24 66 0 25 Apr 2019
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger 28 181 0 04 Feb 2019
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 37 89 0 28 Nov 2018