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 October 1, 2026

October, 1
On October 1, 2026, Chen from the University of Technology, Sydney, an international research collaborator, gave an oral presentation at the Medical World Model workshop, and Hou, a second-year doctoral student, presented a poster at the PedAItrics workshop, both held as part of MICCAI 2026.

Chen “Stochastic High-Frequency Modeling for Uncertainty-Aware Synthetic CT Generation in Radiotherapy”

Hou “Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation”

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on September 4, 2026

September 4, 2026
Prof. Shimizu gave a special lecture titled “ The Cutting Edge of SaMD Using Generative AI: Technological Innovation, Risks, and Regulation” at the 16th Annual Conference of the Society for Regulatory Science of Medical Products, held at Hitotsubashi Hall.

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on July 5, 2026

July 5, 2026
Yui Sasaki and Kubo, Master’s students, gave lecture presentations at JAMIT 2026. In addition, Hirose, Fujii, Yuma Sasaki, and Hayashi, also Master’s students, presented posters at JAMIT 2026.

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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

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.