Shimizu Laboratory

Shimizu Lab.

Researches on medical image analysis based on the state of the art technologies of pattern recognition, machine learning, artificial intelligence, and big data analysis.

Development of computer-aided diagnosis systems using the research results.

    Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada,
    Akinobu Shimizu

    Level set distribution model of nested structures using logarithmic transformation

    Medical Image Analysis, 56, 1-10, 2019
    10.1016/j.media.2019.05.003

    Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani

    Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization

    Medical Image Analysis, 35, 192-214, 2016
    10.1016/j.media.2016.04.001

    Atsushi Saito,
    Shigeru Nawano and Akinobu Shimizu

    Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs

    Medical Image Analysis, 28, 46-65, 2016
    10.1016/j.media.2015.11.003

Topics

Recent posts

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on July 3, 2026

July 3, 2026
Mr. Andrews, a master’s student, gave the following lecture presentation at CARS 2026. Visual Word and Clinical Finding-Aware Bayesian Network for Dermatological Image Classification

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on June 30, 2026

June 30, 2026
Prof. Kevin Cleary (Professor of Radiology and of Pediatrics, School of Health Sciences, George Washington University(https://www.gwu.edu/), Technical Director, Bioengineering Initiative, The Sheikh Zayed Center for Pediatric Surgical Innovation, Departments of Radiology and Surgery, Children’s National Medical Center(https://www.childrensnational.org/), Washington, DC) delivered a lecture entitled “RE-IMAGINING THE FUTURE OF SURGERY Result from the iSMIT”

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on June 16, 2026

June 16, 2026
Dr. Mario A. Cypko (Head of Medical AI and Modelling Group Hahn-Schickard(https://www.hahn-schickard.de/en), Lecturer at University of Freiburg(https://uni-freiburg.de/en/) – Digital Health, Germany) delivered a lecture at the GIR Seminar entitled “Bridging Clinical Knowledge Modelling, Human-AI Collaboration, and Medical Image Analysis: Towards Model-Guided Medicine and Explainable Clinical AI”

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on June 4, 2026

June 4, 2026
Dr. Cypko of Hahn-Schickard and the University of Freiburg (Germany), Mr. Mbobda-Kuate, a master’s student at ENSAE Paris (France), and Mr. Wattanaporn, an undergraduate student at Mahidol University (Thailand), came to Japan to conduct international collaborative research.

Previous posts

To Applicants

Medical image analysis laboratory has collaborated with many universities, public research institutions, and companies. In 2019, we have collaborated with universities (the University of Tokyo etc.), two public institutions (RIKEN etc.), overseas universities (ESIEE Paris(France) etc.) and research institutions (Children’s National Health System(USA)), and other domestic companies. Knowledge of programming languages, AI, mathematics (linear algebra, mathematical analysis, statistical mathematics), signal processing is required to conduct the researches in our lab. If you are interested in medical image analysis and/or collaboration with our research partners, please visit our laboratory.