Quan Huu Cap

25 papers Misc 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A practical framework for unsupervised structure preservation medical image enhancement.
Biomed. Signal Process. Control.
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
2025 J jnl
Color-Quality Invariance for Robust Medical Image Segmentation.
CoRR
Ravi Shah, Atsushi Fukuda, Quan Huu Cap
2025 J jnl
From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis.
CoRR
Kristofer Grover Roos, Atsushi Fukuda, Quan Huu Cap
2025 J jnl
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.
CoRR
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
2025 J jnl
Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.
Artif. Intell. Medicine
Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
2024 J jnl
An Effective Pipeline for Whole-Slide Image Glomerulus Segmentation.
CoRR
Quan Huu Cap
2024 — conf
High-Quality Medical Image Generation from Free-hand Sketch.
EMBC
Quan Huu Cap, Atsushi Fukuda
2024 J jnl
High-Quality Medical Image Generation from Free-hand Sketch.
CoRR
Quan Huu Cap, Atsushi Fukuda
2023 J jnl
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement.
CoRR
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
2023 J jnl
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy.
CoRR
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
2023 J jnl
Towards robust plant disease diagnosis with hard-sample re-mining strategy.
Comput. Electron. Agric.
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
2022 J jnl
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis.
IEEE Trans Autom. Sci. Eng.
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2021 J jnl
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis.
CoRR
Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
2021 J jnl
LASSR: Effective super-resolution method for plant disease diagnosis.
Comput. Electron. Agric.
Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2020 J jnl
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis.
CoRR
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2020 J jnl
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis.
CoRR
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2020 — conf
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis.
ICPR Workshops (1)
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
2020 J jnl
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis.
CoRR
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
2019 — conf
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images.
IEEE BigData
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019 J jnl
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images.
CoRR
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019 — conf
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis.
IEEE BigData
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2019 J jnl
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis.
CoRR
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2019 — conf
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images.
IEEE BigData
Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto
2019 Misc conf
Super-Resolution for Practical Automated Plant Disease Diagnosis System.
CISS
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019 J jnl
Super-Resolution for Practical Automated Plant Disease Diagnosis System.
CoRR
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi