A unified visual information preservation framework for self-supervised pre-training in medical image analysis

HY Zhou, C Lu, C Chen, S Yang…�- IEEE Transactions on�…, 2023 - ieeexplore.ieee.org
Recent advances in self-supervised learning (SSL) in computer vision are primarily
comparative, whose goal is to preserve invariant and discriminative semantics in latent�…

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis

HY Zhou, C Lu, C Chen, S Yang, Y Yu�- IEEE Transactions on Pattern�…, 2023 - computer.org
Recent advances in self-supervised learning (SSL) in computer vision are primarily
comparative, whose goal is to preserve invariant and discriminative semantics in latent�…

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis

HY Zhou, C Lu, C Chen, S Yang…�- IEEE transactions on�…, 2023 - pubmed.ncbi.nlm.nih.gov
Recent advances in self-supervised learning (SSL) in computer vision are primarily
comparative, whose goal is to preserve invariant and discriminative semantics in latent�…

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis

HY Zhou, C Lu, C Chen, S Yang, Y Yu�- IEEE Transactions on Pattern�…, 2023 - dl.acm.org
Recent advances in self-supervised learning (SSL) in computer vision are primarily
comparative, whose goal is to preserve invariant and discriminative semantics in latent�…

A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.

HY Zhou, C Lu, C Chen, S Yang, Y Yu�- IEEE Transactions on�…, 2023 - europepmc.org
Recent advances in self-supervised learning (SSL) in computer vision are primarily
comparative, whose goal is to preserve invariant and discriminative semantics in latent�…