Self-supervised learning in medicine and healthcare

AI in health and medicine

(2022) Pranav Rajpurkar et al.   NATURE MEDICINE

Self-Supervised Learning of Graph Neural Networks: A Unified Review

(2022) Yaochen Xie et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

(2021) Zeljko Kraljevic et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Resolution-based distillation for efficient histology image classification

(2021) Joseph DiPalma et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data

(2021) Demetres Kostas et al.   Frontiers in Human Neuroscience

Review on self-supervised image recognition using deep neural networks

(2021) Kriti Ohri et al.   KNOWLEDGE-BASED SYSTEMS

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

(2021) Laila Rasmy et al.   npj Digital Medicine

Self-supervised driven consistency training for annotation efficient histopathology image analysis

(2021) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

(2020) Agostina J. Larrazabal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

BEHRT: Transformer for Electronic Health Records

(2020) Yikuan Li et al.   Scientific Reports

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION