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 March 3, 2024

March 3-4, 2024
・Master students presented the following researches at symposium on Medical Imaging@Okinawa
Mr. Fujimoto “Evaluation of underspecification in a hot-spot detection support system of bone scintigrams : Comparison of pre-market training and post-market re-training”
Mr. Tsuchiya “Improvement of a lesion detection support system for prostate cancer patients using 18F-PSMA 1007 PET/CT imaging “
Ms. Fujiwara “Improvement of skin disease image classification accuracy for minority classes”
Mr. Chikaarashi “Conditional statistical shape model for multiple brain regions in human embryos”
・Prof. Shimizu gave a special lecture titled “Deployment of a computer-aided diagnosis system for bone scintigrams and beyond “

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on February 9, 2024

February 9, 2024​

A paper of detection support of lesions in a PET/CT volume appeared in the IJCARS.

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on November 10, 2023

Nov. 10, 2023
Six B3 students were newly assigned to the laboratory.

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on October 13, 2023

Oct 13, 2023
Mr. Yamanaka(M1) won a Young Researcher Award of JAMIT@Osaka.
Mr. Wakao(M1) won a Young Researcher Award of JAMIT@Osaka.

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.