Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. - Hideaki Okamoto; Quan Huu Cap; Takakiyo Nomura; Hitoshi Iyatomi; Jun Hashimoto (IEEE BigData, 2019)

AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. - Takumi Saikawa; Quan Huu Cap; Satoshi Kagiwada; Hiroyuki Uga; Hitoshi Iyatomi (IEEE BigData, 2019)

A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. - Katsumasa Suwa; Quan Huu Cap; Ryunosuke Kotani; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (IEEE BigData, 2019)

Super-Resolution for Practical Automated Plant Disease Diagnosis System. - Quan Huu Cap; Hiroki Tani; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (CISS, 2019)

MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. - Quan Huu Cap; Hitoshi Iyatomi; Atsushi Fukuda (ICPR Workshops (1), 2020)

LASSR: Effective super-resolution method for plant disease diagnosis. - Quan Huu Cap; Hiroki Tani; Satoshi Kagiwada; Hiroyuki Uga; Hitoshi Iyatomi (Comput. Electron. Agric., 2021)

Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. - Kasumi Obi; Quan Huu Cap; Noriko Umegaki-Arao; Masaru Tanaka; Hitoshi Iyatomi (CoRR, 2021)

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. - Quan Huu Cap; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (IEEE Trans Autom. Sci. Eng., 2022)

Towards robust plant disease diagnosis with hard-sample re-mining strategy. - Quan Huu Cap; Atsushi Fukuda; Satoshi Kagiwada; Hiroyuki Uga; Nobusuke Iwasaki; Hitoshi Iyatomi (Comput. Electron. Agric., 2023)

High-Quality Medical Image Generation from Free-hand Sketch. - Quan Huu Cap; Atsushi Fukuda (EMBC, 2024)

An Effective Pipeline for Whole-Slide Image Glomerulus Segmentation. - Quan Huu Cap (CoRR, 2024)

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training. - Hideaki Okamoto; Quan Huu Cap; Takakiyo Nomura; Kazuhito Nabeshima; Jun Hashimoto; Hitoshi Iyatomi (Artif. Intell. Medicine, 2025)

A practical framework for unsupervised structure preservation medical image enhancement. - Quan Huu Cap; Atsushi Fukuda; Hitoshi Iyatomi (Biomed. Signal Process. Control., 2025)

Color-Quality Invariance for Robust Medical Image Segmentation. - Ravi Shah; Atsushi Fukuda; Quan Huu Cap (CoRR, 2025)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. - Ruining Deng; Tianyuan Yao; Yucheng Tang; Junlin Guo; Siqi Lu; Juming Xiong; Lining Yu; Quan Huu Cap; Pengzhou Cai; Libin Lan; Ze Zhao; Adrian Galdran; et al. (CoRR, 2025)

From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis. - Kristofer Grover Roos; Atsushi Fukuda; Quan Huu Cap (CoRR, 2025)