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20192025
most citedMIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

High-Quality Medical Image Generation from Free-hand Sketch

Quan Huu Cap, Atsushi Fukuda

Generating medical images from human-drawn free-hand sketches holds promise for various important medical imaging applications. Due to the extreme difficulty in collecting free-han…

cs.CV2023

Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy

Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada +3

With rich annotation information, object detection-based automated plant disease diagnosis systems (e.g., YOLO-based systems) often provide advantages over classification-based sys…

cs.CV2021

Bulk Production Augmentation Towards Explainable Melanoma Diagnosis

Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao +2

Although highly accurate automated diagnostic techniques for melanoma have been reported, the realization of a system capable of providing diagnostic evidence based on medical indi…

cs.CV2020

LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis

Quan Huu Cap, Hiroki Tani, Hiroyuki Uga +2

The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such data have a significant impact on diagnostic performance.…