Hidekata Hontani

Hidekata Hontani is a Professor at the Graduate School of Engineering, Nagoya Institute of Technology, specializing in image processing and medical image analysis. His research focuses on computational anatomy, deep learning applications in medical imaging, and pathological image analysis, particularly for cancer diagnosis and treatment.

Professor Hontani's research interests center around medical image processing, with specific focus on computational anatomy, deep learning for medical applications, pancreatic cancer analysis, and malignant lymphoma grading. His work bridges computer science and medical diagnostics, developing innovative algorithms for analyzing pathological images and creating 3D models of tumors.

His recent publications (2023-2024) show a strong trend toward applying diffusion models and weakly supervised learning techniques to medical image analysis, particularly for cancer diagnosis. Key areas include pathological image analysis, tumor microenvironment modeling, anomaly detection, and multi-modal image registration, with increasing focus on lymphoma grading and pancreatic cancer analysis.

Scientific Awards:

• Multiple Japanese Society of Medical Imaging Technology Conference Encouragement Awards (2012-2024)
• JAMIT Young Medical Imaging Engineering Symposium Encouragement Awards (2023)
• Cum Laude Poster Award, SPIE Medical Imaging (2018)
• Student Award, VISAPP 2017

Professor Hontani has secured multiple significant research grants, including an ongoing Grant-in-Aid for Scientific Research (B) from the Japan Society for the Promotion of Science titled Comprehensive Characterization of All Two Million Nuclei in Pathology Images for Quantitative Assessment of Atypia in Malignant Lymphoma (2025-2028). He serves on key academic committees including as Secretary of the Medical Imaging Research Group at IEICE since 2010 and as a committee member of the Pattern Recognition and Media Understanding Research Group since 2013.