5 papers
From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis
Kristofer Grover Roos, Atsushi Fukuda, Quan Huu Cap
While functional magnetic resonance imaging (fMRI) offers valuable insights into brain activity, it is limited by high operational costs and significant infrastructural demands. In…
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
Ruining Deng, Tianyuan Yao, Yucheng Tang +44
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population and causing significant mortality. While kidney biopsy remains the gold standard f…
Color-Quality Invariance for Robust Medical Image Segmentation
Ravi Shah, Atsushi Fukuda, Quan Huu Cap
Single-source domain generalization (SDG) in medical image segmentation remains a significant challenge, particularly for images with varying color distributions and qualities. Pre…
A General Pipeline for Glomerulus Whole-Slide Image Segmentation
Quan Huu Cap
Whole-slide images (WSI) glomerulus segmentation is essential for accurately diagnosing kidney diseases. In this work, we propose a general and practical pipeline for glomerulus se…
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training
Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura +3
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it must be performed by a physician, which limits the number of people who can be dia…