Quan Huu Cap

According to our database, Quan Huu Cap authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis.

Kristofer Grover Roos, Atsushi Fukuda, Quan Huu Cap

CoRR, February, 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, Amit Kumar, Gunjan Deotale, Dev Kumar Das, Inyoung Paik, Joonho Lee, Geongyu Lee, Yujia Chen, Wangkai Li, Zhaoyang Li, Xuege Hou, Zeyuan Wu, Shengjin Wang, Maximilian Fischer, Lars Kramer, Anghong Du, Le Zhang, Maria Sanchez Sanchez, Helena Sanchez Ulloa, David Ribalta Heredia, Carlos Perez de Arenaza Garcia, Shuoyu Xu, Bingdou He, Xinping Cheng, Tao Wang, Noémie Moreau, Katarzyna Bozek, Shubham Innani, Ujjwal Baid, Kaura Solomon Kefas, Bennett A. Landman, Yu Wang, Shilin Zhao, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, February, 2025

Color-Quality Invariance for Robust Medical Image Segmentation.

Ravi Shah, Atsushi Fukuda, Quan Huu Cap

CoRR, February, 2025

A practical framework for unsupervised structure preservation medical image enhancement.

Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi

Biomed. Signal Process. Control., 2025

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

2024

An Effective Pipeline for Whole-Slide Image Glomerulus Segmentation.

Quan Huu Cap

CoRR, 2024

High-Quality Medical Image Generation from Free-hand Sketch.

Quan Huu Cap, Atsushi Fukuda

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

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., December, 2023

2022

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

2021

Bulk Production Augmentation Towards Explainable Melanoma Diagnosis.

Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi

CoRR, 2021

LASSR: Effective super-resolution method for plant disease diagnosis.

Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi

Comput. Electron. Agric., 2021

2020

MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis.

Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Super-Resolution for Practical Automated Plant Disease Diagnosis System.

Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 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

Proceedings of the 2019 IEEE International Conference on Big Data (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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images.

Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019