47 citations · 158 across the 35 of their papers we have counts for
9 papers · 1 filter
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images
Guang Li, Ren Togo, Takahiro Ogawa +1
Purpose: Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the in…
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li, Ren Togo, Takahiro Ogawa +1
Problem: Detecting COVID-19 from chest X-Ray (CXR) images has become one of the fastest and easiest methods for detecting COVID-19. However, the existing methods usually use superv…
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
Guang Li, Ren Togo, Takahiro Ogawa +1
In this study, we propose a novel method called region-guided masked image modeling (RGMIM) for learning meaningful representations from X-ray images. Our method adopts a new maski…
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Guang Li, Ren Togo, Takahiro Ogawa +1
Background and objective: Sharing of medical data is required to enable the cross-agency flow of healthcare information and construct high-accuracy computer-aided diagnosis systems…
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum
Guang Li, Ren Togo, Takahiro Ogawa +1
Dataset complexity assessment aims to predict classification performance on a dataset with complexity calculation before training a classifier, which can also be used for classifie…
Dataset Distillation Using Parameter Pruning
Guang Li, Ren Togo, Takahiro Ogawa +1
In this study, we propose a novel dataset distillation method based on parameter pruning. The proposed method can synthesize more robust distilled datasets and improve distillation…
Dataset Distillation for Medical Dataset Sharing
Guang Li, Ren Togo, Takahiro Ogawa +1
Sharing medical datasets between hospitals is challenging because of the privacy-protection problem and the massive cost of transmitting and storing many high-resolution medical im…
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
Guang Li, Ren Togo, Takahiro Ogawa +1
This paper proposes a novel self-supervised learning method for learning better representations with small batch sizes. Many self-supervised learning methods based on certain forms…
Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images
Guang Li, Ren Togo, Takahiro Ogawa +1
The global outbreak of the Coronavirus 2019 (COVID-19) has overloaded worldwide healthcare systems. Computer-aided diagnosis for COVID-19 fast detection and patient triage is becom…