Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

25 January 2019

Papers citing "Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data"

23 / 23 papers shown

Title
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation YiXuan Wu B. Zheng Jintai Chen Danny Chen Jian Wu 49 1 0 24 Sep 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 86 1 0 21 Feb 2023
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 84 14 0 08 Dec 2022
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis Mojtaba Bahrami Mahsa Ghorbani Nassir Navab SSL 11 1 0 25 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Zhibin Liao Kewen Liao Haifeng Shen M. F. van Boxel J. Prijs R. Jaarsma J. Doornberg Anton Van Den Hengel Johan Verjans 54 17 0 21 Mar 2022
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 58 6 0 01 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 128 187 0 17 Sep 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification Irma van den Brandt F. Fok B. Mulders Joaquin Vanschoren Veronika Cheplygina 43 4 0 13 Jul 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation Euijoon Ahn Dagan Feng Jinman Kim 59 27 0 11 Jul 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 136 611 0 27 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis E. Jun Seungwoo Jeong Da-Woon Heo Heung-Il Suk ViT MedIm 86 43 0 28 Apr 2021
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation Qinji Yu K. Dang Nima Tajbakhsh Demetri Terzopoulos Xiaowei Ding SSeg 66 49 0 18 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 90 60 0 28 Feb 2021
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images K. Yan Jinzheng Cai D. Jin S. Miao Dazhou Guo Adam P. Harrison Youbao Tang Jing Xiao Jingjing Lu Le Lu MedIm 103 86 0 04 Dec 2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao MedIm 64 46 0 05 Aug 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis Xiaomeng Li M. Jia Md Tauhidul Islam Lequan Yu Lei Xing 78 110 0 21 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 95 552 0 18 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 124 214 0 06 Jun 2020
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images Cheryl Sital T. Brosch Dominique Tio A. Raaijmakers J. Weese 31 4 0 17 Mar 2020
Learning to segment images with classification labels Ozan Ciga Anne L. Martel VLM 45 25 0 28 Dec 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 156 769 0 27 Aug 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Zongwei Zhou V. Sodha M. R. Siddiquee Ruibin Feng Nima Tajbakhsh Michael B. Gotway Jianming Liang MedIm 67 311 0 19 Aug 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai Chen Chen G. Tarroni Jinming Duan Florian Guitton S. Petersen Yike Guo Paul M. Matthews Daniel Rueckert SSL 64 181 0 05 Jul 2019