47 citations · 164 across the 53 of their papers we have counts for
5 papers · 1 filter
Few-shot Personalized Saliency Prediction Based on Interpersonal Gaze Patterns
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa +1
This study proposes a few-shot personalized saliency prediction method that leverages interpersonal gaze patterns. Unlike general saliency maps, personalized saliency maps (PSMs) c…
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…
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…
Soft-Label Anonymous Gastric X-ray Image Distillation
Guang Li, Ren Togo, Takahiro Ogawa +1
This paper presents a soft-label anonymous gastric X-ray image distillation method based on a gradient descent approach. The sharing of medical data is demanded to construct high-a…